Tag: Blob

Posted on

Microsoft Azure Elastic SAN from Cloud to On-Prem

What is Azure Elastic SAN

Azure Elastic SAN (AES) is a new (now GA) Azure Cloud native storage service that provides scalable, resilient, easy management with rapid provisioning, high performance, and cost-effective storage. AES (figure 1) supports many workloads and computing resources. Workloads that benefit from AES include tier 1 and tier 2, such as Mission Critical, Database, and VDI, among others traditionally relying upon consolidated Storage Area Network (SAN) shared storage.

Compute resources that can use AES, including bare metal (BM) physical machines (PM), virtual machines (VM), and containers, among others, using iSCSI for access. AES is accessible by computing resources and services within the Azure Cloud in various regions (check Azure Website for specific region availability) and from on-prem core and edge locations using iSCSI. The AES management experience and value proposition are similar to traditional hardware or software-defined shared SAN storage combined with Azure cloud-based management capabilities.

Microsoft Azure Elastic SAN from cloud to on-prem server storageioblog
Figure 1 General Concept and Use of Azure Elastic SAN (AES)

While Microsoft Azure describes AES as a cloud-native storage solution, that does not mean that AES is only for containers and other cloud-native apps or DevOPS. Rather, AES has been built for and is native to the cloud (e.g., software-defined) that can be accessed by various compute and other resources (e.g., VMs, Containers, AKS, etc) using iSCSI.

How Azure Elastic SAN differs from other Azure Storage

AES differs from traditional Azure block storage (e.g., Azure Disks) in that the storage is independent of the host compute server (e.g., BM, PM, VM, containers). With AES, similar to a conventional software-defined or hardware-based shared SAN solution, storage is disaggregated from host servers for sharing and management using iSCSI for connectivity. By comparison, AES differs from traditional Azure VM-based storage typically associated with a given virtual machine in a DAS (Direct Attached Storage) type configuration. Likewise, similar to conventional on-prem environments, there is a mix of DAS and SAN, including some host servers that leverage both.

AES supports Azure VM, Azure Kubernetes Service (AKS), cloud-native, edge, and on-prem computing (BM, VM, etc.) via iSCSI. Support for Azure VMware Solution (AVS) is in preview; check the Microsoft Azure website for updates and new feature functionality enhancements.

Does this mean everything is moving to AES? Similar to traditional SANs, there are roles and needs for various storage options, including DAS, shared block, file, and object, among storage offerings. Likewise, Microsoft and Azure have expanded their storage offerings to include AES, DAS (azure disks, including Ultra, premium, and standard, among other options), append, block, and page blobs (objects), and files, including Azure file sync, tables, and Data Box, among other storage services.

Azure Elastic Storage Feature Highlights

AES feature highlights include, among others:

    • Management via Azure Portal and associated tools
    • Azure cloud-based shared scalable bock storage
    • Scalable capacity, low latency, and high performance (IOPs and throughput)
    • Space capacity-optimized without the need for data reduction
    • Accessible from within Azure cloud and from on-prem using iSCSI
    • Supports Azure compute  (VMs, Containers/AKS, Azure VMware Solution)
    • On-prem access via iSCSI from PM/BM, VM, and containers
    • Variable number of volumes and volume size per volume group
    • Flexible easy to use Azure cloud-based management
    • Encryption and network private endpoint security
    • Local (LRS) and Zone (ZRS) with replication resiliency
    • Volume snapshots and cluster support

Who is Azure Elastic SAN for

AES is for those who need cost-effective, shared, resilient, high capacity, high performance (IOPS, Bandwidth), and low latency block storage within Azure and from on-prem access. Others who can benefit from AES include those who need shared block storage for clustering app workloads, server and storage consolidation, and hybrid and migration. Another consideration is for those familiar with traditional hardware and software-defined SANs to facilitate hybrid and migration strategies.

How Azure Elastic SAN works

Azure Elastic SAN is a software-defined (cloud native if you prefer) block storage offering that presents a virtual SAN accessible within Azure Cloud and to on-prem core and edge locations currently via iSCSI. Using iSCSI, Azure VMs, Clusters, Containers, Azure VMware Solution among other compute and services, and on-prem BM/PM, VM, and containers, among others, can access AES storage volumes.

From the Azure Portal or associated tools (Azure CLI or PowerShell), create an AES SAN, giving it a 3 to 24-character name and specify storage capacity (base units with performance and any additional space capacity). Next, create a Volume Group, assigning it to a specific subscription and resource group (new or existing), then specify which Azure Region to use, type of redundancy (LRS or GRS), and Zone to use. LRS provides local redundancy, while ZRS provides enhanced zone resiliency, with highspeed synchronous resiliency without setting up multiple SAN systems and their associated replication configurations along with networking considerations (e.g., Azure takes care of that for you within their service).

The next step is to create volumes by specifying the volume name, volume group to use, volume size in GB, maximum IOPs, and bandwidth. Once you have made your AES volume group and volumes, you can create private endpoints, change security and access controls, and access the volumes from Azure or on-prem resources using iSCSI. Note that AES currently needs to be LRS (not ZRS) for clustered shared storage and that Key management includes using your keys with Azure key vault.

Using Azure Elastic SAN

Using AES is straightforward, and there are good easy to follow guides from Microsoft Azure, including the following:

The following images show what AES looks like from the Azure Portal, as well as from an Azure Windows Server VM and an onprem physical machine (e.g., Windows 10 laptop).

Microsoft Azure Elastic SAN from cloud to on-prem server storageioblog
Figure 2 AES Azure Portal Big Picture

Microsoft Azure Elastic SAN from cloud to on-prem server storageioblog
Figure 3 AES Volume Groups Portal View

Microsoft Azure Elastic SAN from cloud to on-prem server storageioblog
Figure 4  AES Volumes Portal View

Microsoft Azure Elastic SAN from cloud to on-prem server storageioblog
Figure 5 AES Volume Snapshot Views

Microsoft Azure Elastic SAN from cloud to on-prem server storageioblog
Figure 6 AES Connected Volume Portal View

Microsoft Azure Elastic SAN from cloud to on-prem server storageioblog
Figure 7 AES Volume iSCSI view from on-prem Windows Laptop

Microsoft Azure Elastic SAN from cloud to on-prem server storageioblog
Figure 8 AES iSCSI Volume attached to Azure VM

Azure Elastic SAN Cost Pricing

The cost of AES is elastic, depending on whether you scale capacity with performance (e.g., base unit) or add more space capacity. If you need more performance, add base unit capacity, increasing IOPS, bandwidth, and space. In other words, base capacity includes storage space and performance, which you can grow in various increments. Remember that AES storage resources get shared across volumes within a volume group.

Azure Elastic SAN is billed hourly based on a monthly per-capacity base unit rate, with a minimum of 1TB  provisioned capacity with minimum performance (e.g., 5,000 IOPs, 200MBps bandwidth). The base unit rate varies by region and type of redundancy, aka resiliency. For example, at the time of this writing, looking at US East, the Local Redundant Storage (LRS) base unit rate is 1TB with 5,000 IOPs and 200MBps bandwidth, costing $81.92 per unit per month.

The above example breaks down to a rate of $0.08 per GB per month, or $0.000110 per GB per hour (assumes 730 hours per month). An example of simply adding storage capacity without increasing base unit (e.g., performance) for US East is $61.44 per month. That works out to $0.06 per GB per month (no additional provisioned IOPs or Bandwidth) or $0.000083 per GB per hour.

Note that there are extra fees for Zone Redundant Storage (ZRS). Learn more about Azure Elastic SAN pricing here, as well as via a cost calculator here.

Azure Elastic SAN Performance

Performance for Azure Elastic SAN includes IOPs, Bandwidth, and Latency. AES IOPs get increased in increments of 5,000 per base TB. Thus, an AES with a base of 10TB would have 50,000 IOPs distributed (shared) across all of its volumes (e.g., volumes are not restricted). For example, if the base TB is increased from 10TB to 20TB, then the IOPs would increase from 50,000 to 100,000 IOPs.

On the other hand, if the base capacity (10TB) is not increased, only the storage capacity would increase from 10TB to 20TB, and the AES would have more capacity but still only have the 50,000 IOPs. AES bandwidth throughput increased by 200MBps per TB. For example, a 5TB AES would have 5 x 200MBps (1,000 MBps) throughput bandwidth shared across the volume groups volumes.

Note that while the performance gets shared across volumes, individual volume performance is determined by its capacity with a maximum of 80,000 IOPs and up to 1,024 MBps. Thus, to reach 80,000 IOPS and 1,024 MBps, an AES volume would have to be at least 107GB in space capacity. Also, note that the aggregate performance of all volumes cannot exceed the total of the AES. If you need more performance, then create another AES.

Will all VMs or compute resources see performance improvements with AES? Traditional Azure Disks associated with VMs have per-disk performance resource limits, including IOPs and Bandwidth. Likewise, VMs have storage limits based on their instance type and size, including the number of disks (HDD or SSD), performance (IOPS and bandwidth), and the number of CPUs and memory.

What this means is that an AES volume could have more performance than what a given VM is limited to. Refer to your VM instance sizing and configuration to determine its IOP and bandwidth limits; if needed, explore changing the size of your VM instance to leverage the performance of Azure Elastic SAN storage.

Additional Resources Where to learn more

The following links are additional resources to learn about Microsoft Azure Elastic SAN and related data infrastructures and tradecraft topics.

Azure AKS Storage Concepts 
Azure Elastic SAN (AES) Documentation and Deployment Guides
Azure Elastic SAN Microsoft Blog
Azure Elastic SAN Overview
Azure Elastic SAN Performance topics
Azure Elastic SAN Pricing calculator
Azure Products by Region (see where AES is currently available)
Azure Storage Offerings 
Azure Virtual Machine (VM) sizes
Azure Virtual Machine (VM) types
Azure Elastic SAN General Pricing
Azure Storage redundancy 
Azure Service Level Agreements (SLA) 
StorageIOBlog.com Data Box Family 
StorageIOBlog.com Data Box Review
StorageIOBlog.com Data Box Test Drive 
StorageIOblog.com Microsoft Hyper-V Alive Enhanced with Win Server 2025
StorageIOblog.com If NVMe is the answer, what are the questions?
StorageIOblog.com NVMe Primer (or refresh)
RTO Context Matters (Blog Post)

Additional learning experiences along with common questions (and answers), are found in my Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials (CRC Press) by Greg Schulz

What this all means

Azure Elastic SAN (AES) is a new and now generally available shared block storage offering that is accessible using iSCSI from within Azure Cloud and on-prem environments. Even with iSCSI, AES is relatively easy to set up and use for shared storage, mainly if you are used to or currently working with hardware or software-defined SAN storage solutions.

With NVMe over TCP fabrics gaining industry and customer traction, I’m hoping for Microsoft to adding that in the future. Currently, AES supports LRS and ZRS for redundancy, and an excellent future enhancement would be to add Geo Redundant Storage (GRS) capabilities for those who need it.

I like the option of elastic shared storage regarding performance, availability, capacity, and economic costs (PACE). Suppose you understand the value proposition of evolving from dedicated DAS to shared SAN (independent of the underlying fabric network); or are currently using some form of on-prem shared block storage. In that case, you will find AES familiar and easy to use. Granted, AES is not a solution for everything as there are roles for other block storage, including DAS such as Azure disks and VMs within Azure, along with on-prem DAS, as well as file, object, and blobs, tables, among others.

Wrap up

The notion that all cloud storage must be objects or blobs is tied those who only need, provide, or prefer those solutions. The reality is that everything is not the same. Thus, there is a need for various storage mediums, devices, tiers, access, and types of services. Microsoft and Azure have done an excellent job of providing. I like what Microsoft Azure is doing with Azure Elastic SAN.

Ok, nuff said, for now.

Cheers Gs

Greg Schulz – Nine time Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2018. Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of UnlimitedIO LLC.

Posted on

March 31st is world backup day; when is world recovery day

March 31st is world backup day; when is world recovery day

If March 31st is world backup day, when is world recovery day?

For several years, if not decades, March 31st has been world backup day, a reminder to protect and backup your apps and data. Data protection, including backup, recovery, business continuance (BC), disaster recovery (DR), and business resilience (BR), should be a 365-day-a-year focus. If you have regular data protection, including backup, that is great; when was the last time you tested restore?

Some related content

Upcoming and past events including webinars, tips and commentary
World Backup Day Reminder Don’t Be an April Fool Test Your Data Recovery
Data Infrastructure Overview, Its What’s Inside of a Data Center
Application Data Value Characteristics Everything Is Not The Same
Data Protection Diaries Topics Tools Techniques Technologies Tips

Reminder to Protect your data and apps and settings

Thus, this is also a reminder to protect your data and apps and their settings regularly. What’s even better is evolving from none once a year to more frequent data protection, including backup of your critical and noncritical apps and data. Notice I keep mentioning apps and not just the usual focus of or on data. Program apps are considered broadly data; after all, apps and your settings and metadata are just data when stored and protected.

There is also often a focus on just the data, which can lead to problems when it comes time to recover an app program, settings, or metadata. Also, a reminder that data protection, including backup, is not just for large enterprises; it applies to organizations and entities of all sizes, including small and medium businesses (SMBs), non-profits, and homes (e.g., your photos, worksheets, and other documents).

What About Recovery

If March 31st is world backup day, when is world recovery day? So far, I have been talking about backup as part of data protection or ensuring your apps, data, and settings are protected; what about recovery?

Sometimes with data protection, discussions can drift into what’s more critical, backup or recovery, which is a bit like a chicken and egg situation. In other words, what’s more important, the chicken or the egg? Similar to data protection, what’s more critical, backup or recovery?

Recovery is only as good as your backup (or snapshot, point-in-time copy, checkpoint, or consistency point), and your backup or protection copy is only as good as its recoverability. Recoverability means that not only is there something to restore from a point in time (e.g., recovery point objective or RPO) in a given amount of time (recovery time objective or RTO).

Recoverability also means that you can pull the data (e.g., bits, bytes, blocks, blobs, objects, files, tables) from the protection medium, media, or service and use it. Recovery means that the data is valid and consistent, has integrity, or is otherwise not bad, missing, damaged, or corrupted (e.g., usable).

What About Recovery Day?

For several years I have mentioned and will continue to do so that if March 31st is world backup day, then April 1st should be a world recovery day. So why April 1st for world recovery day? Simple, you don’t want to look like a fool the day after world backup day if you can’t restore and use data backed up the day before.

If you are not comfortable with April 1st for world recovery day? Then make your world recovery day (or test) a day or so later. The important message is to ensure your apps, data, and settings are protected (e.g., copied, backed up, snapshot, checkpoint, etc.), trust yet verify, and test your restorations.

Why do I mentation apps, data, and settings?

The important message here is that it is good if you are already protecting your data, your spreadsheets, worksheets, databases, files, photos, and the application programs that use them. However, also ensure that you are protecting application settings, configurations, metadata, encryption keys, the backup or protection mechanisms, and their data.

For example, when I accidentally delete a data file or configuration settings, I can restore those without recovering everything. Suppose, for instance, I accidentally or intentionally uninstall an application program. In that case, I can reinstall (assuming I have a copy of the program), then restore my settings and pick up where I resumed.

Who does this apply to?

From organizations of size and type to individuals. If you have or generate or save data, if it is worth having (or you have to keep it), then it should be protected. What how often to protect data (time interval) will be based on what your recovery point objective (RPO) is. Likewise how fast you need to recover with your recovery time objective (RTO).

Remember that it is not if you will need to restore, recover, reload, refresh, or repair your apps, data, and settings instead when. It might be because of accidental or planned deletion, accident, hardware, software, cloud service situation, ransomware, or malware, among other things that can and do happen.

What to do?

If March 31st is world backup day, when is world recovery day? Ensure you have regular copies of your apps, data, and configuration settings, including encryption keys. Implement a variation of the old school three two one (e.g., 3 2 1) data protection, e.g., backup scheme (e.g., three or more copies, stored on two or more devices, systems, media or mediums, and at least one of them offsite preferably offline including at cloud).

A variation of the new school 4 3 2 1 data protection scheme has:
Have four or more versions of your protected data.
Three or more copies (feel free to swap the number of copies and versions).
Stored on two or more different systems (devices, media, or locations).
At least one copy offsite (preferably with one offline), including cloud.

The big difference between the old school 3 2 1 and the new school 4 3 2 1 is the emphasis and distinction of having multiple copies and various versions (e.g., points in time). For example, storing three copies on two systems with one offsite is good unless all copies are damaged. Having different versions (e.g., point in time) and multiple copies of those versions stored in different places including at least one offline (e.g., air-gapped), is essential.

Trust yet verify, test your backups and recovery

Test to verify your data protection is working and that data (apps, data, settings) can be restored. When testing restores, be careful not to overwrite your good data and cause a disaster. Also, ensure your data is encrypted in multiple locations and layers and that you protect your encryption keys. Finally, make sure your backup, protection software, catalog, and settings are encrypted, secured, and protected.

If you have questions, not sure, learn more here in my book Software Defined Data Infrastructure Essentials (CRC Press), Data Infrastructure Management Insight and Strategies (CRC Press), as well as check out these listed below, or reach out to me or others. If you are an individual consumer and just looking to protect some photos, valuable documents, and heirlooms, get in touch with professionals who specialize in these types of things.

What do I do?

Implement 4 3 2 1 type data protection with different granularities and frequencies. For example, my data protection includes regular point-in-time copies, including backups and snapshots, checkpoints, consistency points of systems, volumes, shares, apps, files, data, and settings at different intervals. Having different types of apps and data, some of which are more static vs. others that are changing, protection is also varied to avoid treating everything the same, reduce cost, and increase coverage.

I protect my Apps, data, and settings with multiple versions and copies locally on different systems, devices, mediums, and offsite, including offline and at cloud services. So why do I store data offsite vs. having it all in the cloud? Simple, speed of recovery, and flexibility.

If it’s a few files, perhaps a few GBs of data, it is usually faster for me if I don’t have a good copy locally to get it from Microsoft Azure. Otoh, if I need to restore TBs of data (something terrible happens), then it can be faster to bring an offline, offsite copy back, correct that, then only pull the more recent data I need from the cloud.

What are some of the tools and technologies that I use?

Locally I have multiple Microsoft Windows Servers (Server 2022) with various storage (HDDs and SSDs), including removable devices. In addition to on-prem, I have data stored offsite on removable media and cloud copies. For my cloud copies, I have a mix of files and blobs stored at Microsoft Azure.

A challenge moving from AWS to Azure was Retrospect did not support objects (Azure blobs). I realized, no worries, Retrospect supports storing data on local storage (SSD or HDD) on regular filesystems as files. The solution was set up an Azure file share for Retrospect, and everything has worked fantastic.

Are there things I need and want to improve? Yes, it’s an ongoing process and journey.

What should you do next?

Make sure you have a data backup; if not, march 31st is a good reminder. Trust yet verify your backups are working and you can recover and not be an April 1st fool.

Where to learn more

Learn more about world backup day, recovery and data protection along with other related topics via the following links:

Upcoming and past events including webinars, tips and commentary
Next Generation Hybrid Data Infrastructures Are In Your Future
Cloud File Data Storage Consolidation and Economic Comparison Model
New Book Data Infrastructure Management Insight Strategies
World Backup Day Reminder Don’t Be an April Fool Test Your Data Recovery
Virtual, Cloud and IT Availability, it’s a shared responsibility
Don’t Stop Learning Expand Your Skills Experiences Everyday
Data Infrastructure Overview, Its What’s Inside of a Data Center
Application Data Value Characteristics Everything Is Not The Same
Data Protection Diaries Topics Tools Techniques Technologies Tips
Data Infrastructure Server Storage I/O related Tradecraft Overview

Additional learning experiences can be found in Software Defined Data Infrastructure Essentials book. Also check out Data Infrastructure Management Insight and Strategies.

Software Defined Data Infrastructure Essentials Book SDDC backup restore data protection cloud storage containers data footprint reduction

What this all means

If March 31st is world backup day, when is world recovery day? Every day should be a backup day (e.g., some protection, backup, copy, snapshot, checkpoint, consistency point). Likewise, every day should be able to be a recovery day. World backup day and recovery apply to organizations of all sizes and individuals. Remember that If March 31st is world backup day, when is world recovery day?

Ok, nuff said.

Cheers gs

Greg Schulz – Multi-year Microsoft MVP Cloud and Data Center Management, ten-time VMware vExpert. Author of Data Infrastructure Insights (CRC Press), Software Defined Data Infrastructure Essentials (CRC). Cloud and Virtual Data Storage Networking (CRC), The Green and Virtual Data Center (CRC), Resilient Storage Networks (Elsevier). Visit twitter @storageio as well as www.picturesoverstillwater.com to view various UAS/UAV e.g. drone based aerial content created by Greg Schulz. Courteous comments are welcome for consideration. First published on https://storageioblog.com. Any reproduction without attribution or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. Visit our companion site https://picturesoverstillwater.com to view drone based aerial photography and video related topics. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO and UnlimitedIO LLC.

Posted on

Google Cloud Platform GCP announced new Los Angeles Region

Google Cloud Platform GCP announced new Los Angeles Region

Google Cloud Platform GCP announced new Los Angeles Region

Google Cloud Platform GCP announced new Los Angeles Region

Google Cloud Platform (GCP) has announced a new Los Angeles Region (e.g., uswest-2) with three initial Availability Zones (AZ) also known as data centers. Keep in mind that a region is a geographic area that is made up of two or more AZ’s. Thus, a region has multiple data centers for availability, resiliency, durability.

The new GCP uswest-2 region is the fifth in the US and seventh in the Americas. GCP regions (and AZ’s) in the Americas include Iowa (us-central1), Montreal Quebec Canada (northamerica-northeast1), Northern Virginia (us-east4), Oregon (us-west1), Los Angeles (us-west2), South Carolina (us-east1) and Sao Paulo Brazil (southamerica-east1). View other Geographies as well as services including Europe and the Asia-Pacific here.

How Does GCP Compare to AWS and Azure?

The following are simple graphical comparisons of what Amazon Web Services (AWS) and Microsoft Azure currently have deployed for regions and AZ’s across different geographies. Note, each region may have a different set of services available so check your cloud providers notes as to what is currently available at various locations.

Google Cloud Compute Platform regions
Google Compute Platform Locations (Regions and AZ’s) Image via Google.com

AWS Regions, AZ locations
AWS Regions and AZ’s image Via AWS.com

Microsoft Azure Cloud Region Locations
Microsoft Azure Regions and AZ’s image Via Azure.com

Where to learn more

Learn more about data infrastructures and related topics via the following links:

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What this all means

Google continues to evolve its public cloud platform (GCP) both regarding geographical global physical locations (e.g., regions and AZ’s), also regarding feature, function, extensibility. By adding a new Los Angeles (e.g. uswest-2) Region and three AZ’s within it, Google is providing a local point of presence for data infrastructure intense (server compute, memory, I/O, storage) applications such as those in media, entertainment, high performance compute, aerospace among others in the southern California region.  Overall, Google Cloud Platform GCP announced new Los Angeles Region is good to see not only new features being added to GCP but also physical points of presences.

Ok, nuff said, for now.

Cheers Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2018. Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

Posted on

March 2018 Server StorageIO Data Infrastructure Update Newsletter

March 2018 Server StorageIO Data Infrastructure Update Newsletter

Server and StorageIO Update Newsletter

Volume 18, Issue 3 (March 2018)

Hello and welcome to the March 2018 Server StorageIO Data Infrastructure Update Newsletter.

If you are wondering where the January and February 2018 update newsletters are, they are rolled into this combined edition. In addition to the short email version (free signup here), you can access full versions (html here and PDF here) along with previous editions here.

In this issue:

Enjoy this edition of the Server StorageIO Data Infrastructure update newsletter.

Cheers GS

Data Infrastructure and IT Industry Activity Trends

Data Infrastructure Data Protection and Backup BC BR DR HA Security

World Backup day is coming up on March 31 which is a good time to remember to verify and validate that your data protection is working as intended. On one hand I think it is a good idea to call out the importance of making sure your data is protected including backed up.

On the other hand data protection is not a once a year, rather a year around, 7 x 24 x 365 day focus. Also the focus needs to be on more than just backup, rather, all aspects of data protection from archiving to business continuance (BC), business resiliency (BR), disaster recovery (DR), always on, always accessible, along with security and recovery.

Data Infrastructure Data Protection Backup 4 3 2 1 rule
Data Infrastructure 4 3 2 1 Data Protection and Backup

Some data spring thoughts, perspectives and reminders. Data lakes may swell beyond their banks causing rivers of data to flood as they flow into larger reservoirs, great data lakes, gulfs of data, seas and oceans of data. Granted, some of that data will be inactive cold parked like glaciers while others semi-active floating around like icebergs. Hopefully your data is stored on durable storage solutions or services and does not melt.

Data Infrastructure Server Storage I/O flash SSD NVMe
Various NAND Flash SSD devices and SAS, SATA, NVMe, M.2 interfaces

Non-Volatile Memory (NVM) including various solid state device (SSD) mediums (e.g. nand flash, 3D XPoint, MRAM among others), packaging (drives, PCIe Add in cars [AiC] along with entire systems, appliances or arrays). Also part of the continue evolution of NVM, SSD and other persistent memories (PM) including storage class memories (SCM) are different access protocol interfaces.

Keep in mind that there is a difference between NVM (medium) and NVMe (access), NVM is the generic category of mediums or media and devices such as nand flash, nvram, 3D XPoint among others SCM (and PMs). In other words, NVM is what data devices use for storing data, NVMe is how devices and systems are accessed. NVMe and its variations is how NVM, SSD, PM, SCM media and devices get accessed locally, as well as over network fabrics (e.g. NVMe-oF an FC-NVMe).

NVMe continues to evolve including with networked fabric variations such as RDMA based NVMe over Fabric (NVMe-oF), along with Fibre Channel based (FC-NVMe). The Fibre Channel Industry Association trade group recently held its second multi-vendor plugfest in support of NVMe over Fibre Channel.

Read more about NVM, NVMe, SSD, SCM, flash and related technologies, tools, trends, tips via the following resources:

Has Object Storage failed to live up to its industry hype lacking traction? Or, is object storage (also known as blobs) progressing with customer adoption and deployment on normal realistic timelines? Recently I have seen some industry comments about object storage not catching on with customers or failing to live up to its hyped expectation. IMHO object storage is very much alive along with block, file, table (e.g. database SQL and NoSQL repositories), message/queue among others, as well as emerging blockchain aka data exchanges.

Various Industry and Customer Adoption Deployment timeline
Various Industry and Customer Adoption Deployment Timeline (Via: StorageIOblog.com)

An issue with object storage is that it is still new, still evolving, many IT environments applications do not yet speak or access objects and blobs natively. Likewise as is often the case, industry adoption and deployment is usually early and short term around the hype, vs. the longer cycle of customer adoption and deployment. The downside for those who only focus on object storage (or blobs) is that they may be under pressure to do things short term instead of adjusting to customer cycles which take longer, however real adoption and deployment also last longer.

While the hype and industry buzz around object storage (and blobs) may have faded, customer adoption continues and is here to stay, along with block, file among others, learn more at www.objectstoragecenter.com. Also keep in mind that there is a difference between industry and customer adoption along with deployment.

Some recent Industry Activities, Trends, News and Announcements include:

In case you missed it, Amazon Web Services (e.g. AWS) announced EKS (Elastic Kubernetes Service) which as its name implies, is an easy to use and manage Kubernetes (containers, serverless data infrastructure) running on AWS. AWS joins others including Microsoft Azure Kubernetes Services (AKS), Googles Kubernetes Engine, EasyStack (ESContainer for openstack and Kubernetes),VMware Pivotal Container Service (PKS) among others. What this means is that in the container serverless data infrastructure ecosystem Kubernetes container management (orchestration platform) is gaining in both industry as well as customer adoption along with deployment.

Check out other industry news, comments, trends perspectives here.

Data Infrastructure Server StorageIO Comments Content

Server StorageIO Commentary in the news, tips and articles

Recent Server StorageIO industry trends perspectives commentary in the news.

Via BizTech: Why Hybrid (SSD and HDD) Storage Might Be Fit for SMB environments
Via Excelero: Server StorageIO white paper enabling database DBaaS productivity
Via Cloudian: YouTube video interview file services on object storage with HyperFile
Via CDW Solutions: Comments on Software Defined Access
Via SearchStorage: Comments on Cloudian HyperStore on demand cloud like pricing
Via EnterpriseStorageForum: Comments and tips on Software Defined Storage Best Practices
Via PRNewsWire: Comments on Excelero NVMe NVMesh Database and DBaaS solutions
Via SearchStorage: Comments on NooBaa multi-cloud storage management
Via CDW: Comments on New IT Strategies Improve Your Bottom Line 
Via EnterpriseStorageForum: Comments on Software Defined Storage: Pros and Cons
Via DataCenterKnowledge: Comments on The Great Data Center Headache IoT
Via SearchStorage: Comments on Dell and VMware merger scenario options
Via PRNewswire: Comments on Chelsio Microsoft Validation of iWARP/RDMA
Via SearchStorage: Comments on Server Storage Industry trends and Dell EMC
Via ChannelProSMB: Comments on Hybrid HDD and SSD storage solutions
Via ChannelProNetwork: Comments on What the Future Holds for HDDs
Via HealthcareITnews: Comments on MOUNTAINS OF MOBILE DATA
Via SearchStorage: Comments on Cloudian HyperStore 7 targets multi-cloud complexities
Via GlobeNewsWire: Comments on Cloudian HyperStore 7
Via GizModo: Comments on Intel Optane 800P NVMe M.2 SSD
Via DataCenterKnowledge: Comments on getting data centers ready for IoT
Via DataCenterKnowledge: Comments on Beyond the Hype: AI in the Data Center
Via DataCenterKnowledge: Comments on Data Center and Cloud Disaster Recovery
Via SearchStoragae: Comments on Cloudian HyperFile marries NAS and object storage
Via SearchStoragae: Comments on Top 10 Tips on Solid State Storage Adoption Strategy
Via SearchStoragae: Comments on 8 Top Tips for Beating the Big Data Deluge

View more Server, Storage and I/O trends and perspectives comments here.

Data Infrastructure Server StorageIOblog posts

Server StorageIOblog Data Infrastructure Posts

Recent and popular Server StorageIOblog posts include:

Application Data Value Characteristics Everything Is Not The Same
Application Data Availability 4 3 2 1 Data Protection
AWS Cloud Application Data Protection Webinar
Microsoft Windows Server 2019 Insiders Preview
Application Data Characteristics Types Everything Is Not The Same
Application Data Volume Velocity Variety Everything Is Not The Same
Application Data Access Lifecycle Patterns Everything Is Not The Same
Veeam GDPR preparedness experiences Webinar walking the talk
VMware continues cloud construction with March announcements
Benefits of Moving Hyper-V Disaster Recovery to the Cloud Webinar
World Backup Day 2018 Data Protection Readiness Reminder
Use Intel Optane NVMe U.2 SFF 8639 SSD drive in PCIe slot
Data Infrastructure Resource Links cloud data protection tradecraft trends
How to Achieve Flexible Data Protection Availability with All Flash Storage Solutions
November 2017 Server StorageIO Data Infrastructure Update Newsletter
IT transformation Serverless Life Beyond DevOps Podcast
Data Protection Diaries Fundamental Topics Tools Techniques Technologies Tips
HPE Announces AMD Powered Gen 10 ProLiant DL385 For Software Defined Workloads
AWS Announces New S3 Cloud Storage Security Encryption Features
Introducing Windows Subsystem for Linux WSL Overview #blogtober
Hot Popular New Trending Data Infrastructure Vendors To Watch

View other recent as well as past StorageIOblog posts here

Server StorageIO Recommended Reading (Watching and Listening) List

Software-Defined Data Infrastructure Essentials SDDI SDDC

In addition to my own books including Software Defined Data Infrastructure Essentials (CRC Press 2017) available at Amazon.com (check out special sale price), the following are Server StorageIO data infrastructure recommended reading, watching and listening list items. The Server StorageIO data infrastructure recommended reading list includes various IT, Data Infrastructure and related topics including Intel Recommended Reading List (IRRL) for developers is a good resource to check out. Speaking of my books, Didier Van Hoye (@WorkingHardInIt) has a good review over on his site you can view here, also check out the rest of his great content while there.

In case you may have missed it, here is a good presentation from AWS re:invent 2017 by Brendan Gregg (@brendangregg) about how Netflix does EC2 and other AWS tuning along with plenty of great resource links. Keith Tenzer (@keithtenzer) provides a good perspective piece about containers in a large IT enterprise environment here including various options.

Speaking of IT data centers and data infrastructure environments, checkout the list of some of the worlds most extreme habitats for technology here. Mark Betz (@markbetz) has a series of Docker and Kubernetes networking fundamentals posts on his site here, as well as over at Medium including mention of Google Cloud (@googlecloud). The posts in Marks series are good refresher or intros to how Docker and Kubernetes handles basic networking between containers, pods, nodes, hosts in clusters. Check out part I here and part II here.

Blockchain elements
Image via https://stevetodd.typepad.com

Steve Todd (@Stevetodd) has some good perspectives about Trusted Data Exchanges e.g. life beyond blockchain and bitcoin here along with core element considerations (beyond the product pitch) here, along with associated data infrastructure and storage evolution vs. revolution here.

Watch for more items to be added to the recommended reading list book shelf soon.

Data Infrastructure Server StorageIO event activities

Events and Activities

Recent and upcoming event activities.

March 27, 2018 – Webinar – Veeams Road to GDPR Compliancy The 5 Lessons Learned

Feb 28, 2018 – Webinar – Benefits of Moving Hyper-V Disaster Recovery to the Cloud

Jan 30, 2018 – Webinar – Achieve Flexible Data Protection and Availability with All Flash Storage

Nov. 9, 2017 – Webinar – All You Need To Know about ROBO Data Protection Backup

See more webinars and activities on the Server StorageIO Events page here.

Data Infrastructure Server StorageIO Industry Resources and Links

Various useful links and resources:

Data Infrastructure Recommend Reading and watching list
Microsoft TechNet – Various Microsoft related from Azure to Docker to Windows
storageio.com/links – Various industry links (over 1,000 with more to be added soon)
objectstoragecenter.com – Cloud and object storage topics, tips and news items
OpenStack.org – Various OpenStack related items
storageio.com/downloads – Various presentations and other download material
storageio.com/protect – Various data protection items and topics
thenvmeplace.com – Focus on NVMe trends and technologies
thessdplace.com – NVM and Solid State Disk topics, tips and techniques
storageio.com/converge – Various CI, HCI and related SDS topics
storageio.com/performance – Various server, storage and I/O benchmark and tools
VMware Technical Network – Various VMware related items

Connect and Converse With Us

Storage IO RSS storageio linkedin storageio facebook    Google+   storageio youtube  storageio instagram

Subscribe to Newsletter – Newsletter Archives – StorageIO.com – StorageIOblog.com

What this all means and wrap-up

Data Infrastructures are what exists inside physical data centers spanning cloud, converged, hyper-converged, virtual, serverless and other software defined as well as legacy environments. The fundamental role of data infrastructures comprising server (compute), storage, I/O networking hardware, software, services defined by management tools, best practices and policies is to provide a platform for applications along with their data to deliver information services. With March 31 being world backup day, also focus on making sure that on April 1st you are not a fool trying to recover from a bad data protection copy. With the continued movement to flash SSD along with other forms of storage class memory (SCM) and persistent memories (PM), data moves at a faster rate meaning data protection is even more important to get you out of trouble as fast as you get into issues.

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

Posted on

Data Protection Diaries Fundamental Topics Tools Techniques Technologies Tips

Data Protection Fundamental Topics Tools Techniques Technologies Tips

Data Infrastructure and Data protection fundamental companion to Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Fundamental Server Storage I/O Tradecraft ( CRC Press 2017)

server storage I/O data infrastructure trends

By Greg Schulz – www.storageioblog.com November 26, 2017

This is Part I of a multi-part series on Data Protection fundamental tools topics techniques terms technologies trends tradecraft tips as a follow-up to my Data Protection Diaries series, as well as a companion to my new book Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Server Storage I/O Fundamental tradecraft (CRC Press 2017).

Software Defined Data Protection Fundamental Infrastructure Essentials Book SDDC

The focus of this series is around data protection fundamental topics including Data Infrastructure Services: Availability, RAS, RAID and Erasure Codes (including LRC) ( Chapter 9), Data Infrastructure Services: Availability, Recovery Point ( Chapter 10). Additional Data Protection related chapters include Storage Mediums and Component Devices ( Chapter 7), Management, Access, Tenancy, and Performance ( Chapter 8), as well as Capacity, Data Footprint Reduction ( Chapter 11), Storage Systems and Solutions Products and Cloud ( Chapter 12), Data Infrastructure and Software-Defined Management ( Chapter 13) among others.

Post in the series includes excerpts from Software Defined Data Infrastructure (SDDI) pertaining to data protection for legacy along with software defined data centers ( SDDC), data infrastructures in general along with related topics. In addition to excerpts, the posts also contain links to articles, tips, posts, videos, webinars, events and other companion material. Note that figure numbers in this series are those from the SDDI book and not in the order that they appear in the posts.

Posts in this data protection fundamental series include:

SDDC, SDI, SDDI data infrastructure
Figure 1.5 Data Infrastructures and other IT Infrastructure Layers

Data Infrastructures

Data Infrastructures exists to support business, cloud and information technology (IT) among other applications that transform data into information or services. The fundamental role of data infrastructures is to provide a platform environment for applications and data that is resilient, flexible, scalable, agile, efficient as well as cost-effective.

Put another way, data infrastructures exist to protect, preserve, process, move, secure and serve data as well as their applications for information services delivery. Technologies that make up data infrastructures include hardware, software, or managed services, servers, storage, I/O and networking along with people, processes, policies along with various tools spanning legacy, software-defined virtual, containers and cloud. Read more about data infrastructures (its what’s inside data centers) here.

Why SDDC SDDI Need Data Protection
Various Needs Demand Drivers For Data Protection Fundamentals

Why The Need For Data Protection

Data Protection encompasses many different things, from accessibility, durability, resiliency, reliability, and serviceability ( RAS) to security and data protection along with consistency. Availability includes basic, high availability ( HA), business continuance ( BC), business resiliency ( BR), disaster recovery ( DR), archiving, backup, logical and physical security, fault tolerance, isolation and containment spanning systems, applications, data, metadata, settings, and configurations.

From a data infrastructure perspective, availability of data services spans from local to remote, physical to logical and software-defined, virtual, container, and cloud, as well as mobile devices. Figure 9.2 shows various data infrastructure availability, accessibility, protection, and security points of interest. On the left side of Figure 9.2 are various data protection and security threat risks and scenarios that can impact availability, or result in a data loss event ( DLE), data loss access ( DLA), or disaster. The right side of Figure 9.2 shows various techniques, tools, technologies, and best practices to protect data infrastructures, applications, and data from threat risks.

SDDI SDDC Data Protection Fundamental Big Picture
Figure 9.2 Various threat vectors, issues, problems, and challenges that drive the need for data protection

A fundamental role of data infrastructures (and data centers) is to protect, preserve, secure and serve information when needed with consistency. This also means that the data infrastructure resources (servers, storage, I/O networks, hardware, software, external services) and the applications (and data) they combine and are defined to protect are also accessible, durable and secure.

Data Protection topics include:

  • Maintaining availability, accessibility to information services, applications and data
  • Data include software, actual data, metadata, settings, certificates and telemetry
  • Ensuring data is durable, consistent, secure and recoverable to past points in time
  • Everything is not the same across different environments, applications and data
  • Aligning techniques and technologies to meet various service level objectives ( SLO)

Data Protection Fundamental Tradecraft Skills Experience Knowledge

Tools, technologies, trends are part of Data Protection, so to are the techniques of knowing (e.g. tradecraft) what to use when, where, why and how to protect against various threats risks (challenges, issues, problems).

Part of what is covered in this series of posts as well as in the Software Defined Data Infrastructure (SDDI) Essentials book is tradecraft skills, tips, experiences, insight into what to use, as well as how to use old and new things in new ways.

This means looking outside the technology box towards what is that you need to protect and why, then knowing how to use different skills, experiences, techniques part of your tradecraft combined with data protection toolbox tools. Read more about tradecraft here.

Where To Learn More

Continue reading additional posts in this series of Data Infrastructure Data Protection fundamentals and companion to Software Defined Data Infrastructure Essentials (CRC Press 2017) book, as well as the following links covering technology, trends, tools, techniques, tradecraft and tips.

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

Everything is not the same across environments, data centers, data infrastructures and applications.

Likewise everything is and does not have to be the same when it comes to Data Protection. Data protection fundamentals encompasses many different hardware, software, services including cloud technologies, tools, techniques, best practices, policies and tradecraft experience skills (e.g. knowing what to use when, where, why and how).

Since everything is not the same, various data protection approaches are needed to address various application performance availability capacity economic ( PACE) needs, as well as SLO and SLAs.

Get your copy of Software Defined Data Infrastructure Essentials here at Amazon.com, at CRC Press among other locations and learn more here. Meanwhile, continue reading with the next post in this series, Part 2 Reliability, Availability, Serviceability ( RAS) Data Protection Fundamentals.

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

Posted on

Data Protection Diaries Reliability, Availability, Serviceability RAS Fundamentals

Reliability, Availability, Serviceability RAS Fundamentals

Companion to Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Fundamental Server Storage I/O Tradecraft ( CRC Press 2017)

server storage I/O data infrastructure trends

By Greg Schulz – www.storageioblog.com November 26, 2017

This is Part 2 of a multi-part series on Data Protection fundamental tools topics techniques terms technologies trends tradecraft tips as a follow-up to my Data Protection Diaries series, as well as a companion to my new book Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Server Storage I/O Fundamental tradecraft (CRC Press 2017).

Software Defined Data Infrastructure Essentials Book SDDC

Click here to view the previous post Part 1 Data Infrastructure Data Protection Fundamentals, and click here to view the next post Part 3 Data Protection Access Availability RAID Erasure Codes (EC) including LRC.

Post in the series includes excerpts from Software Defined Data Infrastructure (SDDI) pertaining to data protection for legacy along with software defined data centers ( SDDC), data infrastructures in general along with related topics. In addition to excerpts, the posts also contain links to articles, tips, posts, videos, webinars, events and other companion material. Note that figure numbers in this series are those from the SDDI book and not in the order that they appear in the posts.

In this post the focus is around Data Protection availability from Chapter 9 which includes access, durability, RAS, RAID and Erasure Codes (including LRC), mirroring and replication along with related topics.

SDDC, SDI, SDDI data infrastructure
Figure 1.5 Data Infrastructures and other IT Infrastructure Layers

Reliability, Availability, Serviceability (RAS) Data Protection Fundamentals

Reliability, Availability Serviceability (RAS) and other access availability along with Data Protection topics are covered in chapter 9. A resilient data infrastructure (software-defined, SDDC and legacy) protects, preserves, secures and serves information involving various layers of technology. These technologies enable various layers ( altitudes) of functionality, from devices up to and through the various applications themselves.

SDDI SDDC Data Protection Big Picture
Figure 9.2 Various threat issues and challenges that drive the need for data protection

Some applications need a faster rebuild, while others need sustained performance (bandwidth, latency, IOPs, or transactions) with the slower rebuild; some need lower cost at the expense of performance; others are ok with more space if other objectives are meet. The result is that since everything is different yet there are similarities, there is also the need to tune how data Infrastructure protects, preserves, secures, and serves applications and data.

General reliability, availability, serviceability, and data protection functionality includes:

  • Manually or automatically via policies, start, stop, pause, resume protection
  • Adjust priorities of protection tasks, including speed, for faster or slower protection
  • Fast-reacting to changes, disruptions or failures, or slower cautious approaches
  • Workload and application load balancing (performance, availability, and capacity)

RAS can be optimized for:

  • Reduced redundancy for lower overall costs vs. resiliency
  • Basic or standard availability (leverage component plus)
  • High availability (use better components, multiple systems, multiple sites)
  • Fault-tolerant with no single points of failure (SPOF)
  • Faster restart, restore, rebuild, or repair with higher overhead costs
  • Lower overhead costs (space and performance) with lower resiliency
  • Lower impact to applications during rebuild vs. faster repair
  • Maintenance and planned outages or for continues operations

Common availability Data Protection related terms, technologies, techniques, trends and topics pertaining to data protection from availability and access to durability and consistency to point in time protection and security are shown below.

Data Protection Gaps and Air Gap

There are Good Data Protection Gaps that provide recovery points to a past time enabling recoverability in the future to move forward. Another good data protection gap is an Air Gap that isolates protection copies off-site or off-line so that they can not be tampered with enabling recovery from ransomware and other software defined threats. There are Bad data protection gaps including gaps in coverage where data is not protected or items are missing. Then there are Ugly data protecting gaps which include Bad gaps that result in what you think is protected are not and finding that your copies are bad when it is too late.

Data Protection Gaps Good Bad Ugly
Data Protection Gaps Good Bad and Ugly

The following figure shows good data protection gaps including recovery points (point in time protection) along with air gaps.

Good Data Protection Gaps
Figure 9.9 Air Gaps and Data Protection

Fault / Failures To Tolerate (FTT)

FTT is how many faults or failures to tolerate for a given solution or service which in turn determines what mode of protection, or fault tolerant mode ( FTM) to use.

Fault Tolerant Mode (FTM)

FTM is the mode or technique used to enable resiliency and protect against some number of faults.

Fault / Failure Domains

Fault or Failure domains are places and things that can fail from regions, data centers or availability zones, clusters, stamps, pods, servers, networks, storage, hardware (systems, components including SSD and HDDs, power supplies, adapters). Other fault domain topics and focus areas include facility power, cooling, software including applications, databases, operating systems and hypervisors among others.

SDDI SDDC Fault Domains Zones Regions
Figure 9.5 Various Fault and Failure Domains, Regions, Locations

Clustering

Clustering is a technique and technology for enabling resiliency, as well as scaling performance, availability, and capacity. Clusters can be local, remote, or wide-area to support different data infrastructure objectives, combined with replication and other techniques.

SDDI SDDC Clustering
Figure 9.12 Clustering and Replication Examples

Another characteristic of clustering and resiliency techniques is the ability to detect and react quickly to failures to isolate and contain faults, as well as invoking automatic repair if needed. Different clustering technologies enable various approaches, from proprietary hardware and software tightly coupled to loosely coupled general-purpose hardware or software.

Clustering characteristics include:

  • Application, database, file system, operating system (Windows Storage Replica)
  • Storage systems, appliances, adapters and network devices
  • Hypervisors ( Hyper-V, VMware vSphere ESXi and vSAN among others)
  • Share everything, share some things, share nothing
  • Tightly or loosely coupled with common or individual system metadata
  • Local in a data center, campus, metro, or stretch cluster
  • Wide-area in different regions and availability zones
  • Active/active for fast fail over or restart, active/passive (standby) mode

Additional clustering considerations include:

  • How does performance scale as nodes are added, or what overhead exists?
  • How is cluster resource locking in shared environments handled?
  • How many (or few) nodes are needed for quorum to exist?
  • Network and I/O interface (and management) requirements
  • Cluster partition or split-brain (i.e., cluster splits into two)?
  • Fast-reacting fail over and resiliency vs. overhead of failing back
  • Locality of where applications are located vs. storage access and clustering

Where To Learn More

Continue reading additional posts in this series of Data Infrastructure Data Protection fundamentals and companion to Software Defined Data Infrastructure Essentials (CRC Press 2017) book, as well as the following links covering technology, trends, tools, techniques, tradecraft and tips.

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

Everything is not the same across different environments, data centers, data infrastructures and applications. There are various performance, availability, capacity economic (PACE) considerations along with service level objectives (SLO). Availability means being able to access information resources (applications, data and underlying data infrastructure resources), as well as data being consistent along with durable. Being durable means enabling data to be accessible in the event of a device, component or other fault domain item failures (hardware, software, data center).

Just as everything is not the same across different environments, there are various techniques, technologies and tools that can be used in different ways to enable availability and accessibility. These include high availability (HA), RAS, mirroring, replication, parity along with derivative erasure code (EC), LRC, RS and other RAID implementations, along with clustering. Also keep in mind that pertaining to data protection, there are good gaps (e.g. time intervals for recovery points, air gaps), bad gaps (missed coverage or lack of protection), and ugly gaps (not being able to recover from a gap in time).

Note that mirroring, replication, EC, LRC, RS or other Parity and RAID approaches are not replacements for backup, rather they are companions to time interval based recovery point protection such as snapshots, backup, checkpoints, consistency points and versioning among others (discussed in follow-up posts in this series).

Which data protection tool, technology to trend is the best depends on what you are trying to accomplish and your application workload PACE requirements along with SLOs. Get your copy of Software Defined Data Infrastructure Essentials here at Amazon.com, at CRC Press among other locations and learn more here. Meanwhile, continue reading with the next post in this series, Part 3 Data Protection Access Availability RAID Erasure Codes (EC) including LRC.

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

Posted on

Data Protection Diaries Access Availability RAID Erasure Codes LRC Deep Dive

Access Availability RAID Erasure Codes including LRC Deep Dive

Companion to Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Fundamental Server Storage I/O Tradecraft ( CRC Press 2017)

server storage I/O data infrastructure trends

By Greg Schulz – www.storageioblog.com November 26, 2017

This is Part 3 of a multi-part series on Data Protection fundamental tools topics techniques terms technologies trends tradecraft tips as a follow-up to my Data Protection Diaries series, as well as a companion to my new book Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Server Storage I/O Fundamental tradecraft (CRC Press 2017).

Software Defined Data Infrastructure Essentials Book SDDC

Click here to view the previous post Part 2 Reliability, Availability, Serviceability (RAS) Data Protection Fundamentals, and click here to view the next post Part 4 Data Protection Recovery Points (Archive, Backup, Snapshots, Versions).

Post in the series includes excerpts from Software Defined Data Infrastructure (SDDI) pertaining to data protection for legacy along with software defined data centers ( SDDC), data infrastructures in general along with related topics. In addition to excerpts, the posts also contain links to articles, tips, posts, videos, webinars, events and other companion material. Note that figure numbers in this series are those from the SDDI book and not in the order that they appear in the posts.

In this post part of the Data Protection diaries series as well as companion to Chapter 9 of SDDI Essentials book, we are going on a longer, deeper dive. We are going to look at availability, access and durability including mirror, replication, RAID including various traditional and newer parity approaches such as Erasure Codes ( EC), Local Reconstruction Code (LRC), Reed Solomon (RS) also known as RAID 2 among others. Later posts in this series look at point in time data protection to support recovery to a given time (e.g. RPO), while this and the previous post look at maintaining access and availability.

Keep in mind that if something can fail, it probably will, also that everything is not the same meaning different environments, application workloads (along with their data). Different environments and applications have diverse performance, availability, capacity economic (PACE) attributes, along with service level objectives ( SLOs). Various SLOs include PACE attributes, recovery point objectives ( RPO), recovery time objective ( RTO) among others.

Availability, accessibility and durability (see part two in this series) along with associated RAS topics are part of what enable RTO, as well as meet Faults (or failures) to tolerate ( FTT). This means that different fault tolerance modes ( FTM) determine what technologies, tools, trends and techniques to use to meet different RTO, FTT and application PACE needs.

Maintaining access and availability along with durability (e.g. how many copies of data as well as where stored) protects against loss or failure of a component device ( SSD, HDDs, adapters, power supply, controller), node or system, appliance, server, rack, clusters, stamps, data center, availability zones, regions, or other Fault or Failure domains spanning hardware, software, and services.

SDDC, SDI, SDDI data infrastructure
Figure 1.5 Data Infrastructures and other IT Infrastructure Layers

Data Protection Access Availability RAID Erasure Codes

This is a good place to mention some context for RAID and RAID array, which can mean different things pertaining to Data Protection. Some people associate RAID with a hardware storage array, or with a RAID card. Other people consider an array to be a storage array that is a RAID enabled storage system. A trend is to refer to legacy storage systems as RAID arrays or hardware-based RAID, to differentiate from newer implementations.

Context comes into play in that a RAID group (i.e., a collection of HDDs or SSD that is part of a RAID set) can be referred to as an array, a RAID array, or a virtual array. What this means is that while some RAID implementations may not be relevant, there are many new and evolving variations extending parity based protection making at least software-defined RAID still relevant

Keep context in mind, and don’t be afraid to ask what someone is referring to: a particular vendor storage system, a RAID implementation or packaging, a storage array, or a virtual array. Also keep the context of the virtual array in perspective vs. storage virtualization and virtual storage. RAID as a term is used to refer to different modes such as mirroring or parity, and parity can be legacy RAID 4, 5, or 6 along with erasure codes (EC). Note some people refer to erasure codes in the context of not being a RAID system, which can be an inference to not being a legacy storage system running hardware RAID (e.g. not software or software defined).

The following figure (9.13) shows various availability protection schemes (e.g. not recovery point) that maintain access while protecting against loss of a component, device, system, server, site, region or other part of a fault domain. Since everything is not the same with environments and applications having different Performance Availability Capacity Economic ( PACE) attributes, there are various approaches for enabling availability along with accessibility.

Keep in mind that RAID and Erasure codes along with their various, as well as replication and mirroring by themselves are not a replacement for backup or other point in time (e.g. enable recovery point) protection.

Instead, availability technologies such as RAID and erasure code along with mirror as well as replication need to be combined with snapshots, point in time copies, consistency points, checkpoints, backups among other recovery point protection for complete data protection.

Speaking of replacement for backup, while many vendors and their pundits claIm or want to see backup as being dead, as long as they keep talking about backup instead of broader data protection backup will remain alive.

SDDC SDDI RAID Parity Erasure Code EC
Figure 9.13 Various RAID, Mirror, Parity and Erasure Code (EC) approaches

Different RAID levels (including parity, EC, LRC and RS based) will affect storage energy effectiveness, similar to various SSD or HDD performance capacity characteristics; however, a balance of performance, availability, capacity, and energy needs to occur to meet application service needs. For example, RAID 1 mirroring or RAID 10 mirroring and striping use more HDDs and, thus, power, but will yield better performance than RAID 6 and erasure code parity protection.

 

Normal performance

 

Availability

Performance overhead

Rebuild overhead

Availability overhead

RAID 0 (stripe)

Very good read & write

None

None

Full volume restore

None

RAID 1 (mirror or replicate)

Good reads; writes = device speed

Very good; two or more copies

Multiple copies can benefit reads

Re-synchronize with existing volume

2:1 for dual, 3:1 for three-way copies

RAID 4 (stripe with dedicated parity, i.e., 4 + 1 = 5 drives total)

Poor writes without cache

Good for smaller drive groups and devices

High on write without cache (i.e., parity)

Moderate to high, based on number and type of drives

Varies; 1 Parity/N, where N = number of devices

RAID 5
(stripe with rotating parity, 4 + 1 = 5 drives)

Poor writes without cache

Good for smaller drive groups and devices

High on write without cache (i.e., parity)

Moderate to high, based on number and type of drives

Varies
1 Parity/N, where N = number of devices

RAID 6
(stripe with dual parity, 4 + 2 = 6 drives)

Poor writes without cache

Better for larger drive groups and devices

High on write without cache (i.e., parity)

Moderate to high, based on number and type of drives

Varies; 2 Parity/N, where N = number of devices

RAID 10
(mirror and stripe)

Good

Good

Minimum

Re-synchronize with existing volume

Twice mirror capacity stripe drives

Reed-Solomon (RS) parity, also known as erasure code (EC), local reconstruction code (LRC), and SHEC

Ok for reads, slow writes; good for static and cold data with front-end cache

Good

High on writes (CPU for parity calculation, extra I/O operations)

Moderate to high, based on number and type of drives, how implemented, extra I/Os for reconstruction

Varies, low overhead when using large number of devices; CPU, I/O, and network overhead.

Table 9.3 Common RAID Characteristics

Besides those shown in table 9.3, other RAID including parity based approaches include 2 (Reed Solomon), 3 (synchronized stripe and dedicated parity) along with others including combinations such as 10, 01, 50, 60 among others.

Similar to legacy parity-based RAID, some erasure code implementations use narrow drive groups while others use larger ones to increase protection and reduce capacity overhead. For example, some larger enterprise-class storage systems (RAID arrays) use narrow 3 + 1 or 4 + 1 RAID 5 or 4 + 2 or 6 + 2 RAID 6, which have higher protection storage capacity overhead and fault=impact footprint.

On the other hand, many smaller mid-range and scale-out storage systems, appliances, and solutions support wide stripes such as 7 + 1, 15 + 1, or larger RAID 5, or 14 + 2 or larger RAID 6. These solutions trade the lower storage capacity protection overhead for risk of a multiple drive failures or impacts. Similarly, some EC implementations use relatively small groups such as 6, 2 (8 drives) or 4, 2 (6 drives), while others use 14, 4 (18 drives), 16, 4 (20 drives), or larger.

Table 9.4 shows options for a number of data devices (k) vs. a number of protect devices (m).

k
(data devices)

m
(protect devices)

Availability;
Resiliency

Space capacity overhead

Normal performance

FTT

Comments;
Examples

Narrow

Wide

Very good;
Low impact of rebuild

Very high

Good (R/W)

Very good

Trade space for RAS;
Larger m vs. k;
1, 1; 1, 2; 2, 2; 4, 5

Narrow

Narrow

Good

Good

Good (R/W)

Good

Use with smaller drive groups;
2, 1; 3, 1; 6, 2

Wide

Narrow

Ok to good;
With larger m value

Low as m gets larger

Good (read);
Writes can be slow

Ok to good

Smaller m can impact rebuild;
3, 1; 7, 1; 14, 2; 13, 3

Wide

Wide

Very good;
Balanced

High

Good

Very good

Trade space for RAS;
2, 2; 4, 4; 8, 4; 18, 6

Table 9.4. Comparing Various Data Device vs. Protect Device Configurations

Note that wide k with no m, such as 4, 0, would not have protection. If you are focused on reducing costs and storage space capacity overhead, then a wider (i.e., more devices) with fewer protect devices might make sense. On the other hand, if performance, availability, and minimal to no impact during rebuild or reconstruction are important, then a narrower drive set, or a smaller ratio of data to protect drives, might make sense.

Also note that the higher or larger the RAID number, or parity scheme, or number of "m" devices in a parity and erasure code group may not be better, likewise smaller may not be better. What is better is which approach meets your specific application performance, availability, capacity, economic (PACE) needs, along with SLO, RTO, RPO requirements. What can also be good is to use hybrid approaches combining different technologies and tools to facilitate both access, availability, durability along with point in time recovery across different layers of granularity (e.g. device, drive, adapter, controller, cabinet, file system, data center, etc).

Some focus on the lower level RAID as the single or primary point of protection, however watch out for that being your single point of failure as well. For example, instead of building a resilient RAID 10 and then neglecting to have adequate higher level access, as well as recovery point protection, combine different techniques including file system protection, snapshots, and backups among others.

Figure 9.14 shows various options and considerations for balancing between too many or too few data (k) and protect (m) devices. The balance is about enabling particular FTT along with PACE attributes and SLO. This means, for some environments or applications, using different failure-tolerant modes ( FTM) in various combinations as well as configurations.

SDDC SDDI Data Protection
Figure 9.14 Comparing various data drive to protection devices

Figure 9.14 top shows no protection overhead (with no protection); the bottom shows 13 data drives and three protection drives in an EC (RS or LRC among others) configuration that could tolerate three devices failing before loss of data or access occurs. In between are various options that can also be scaled up or down across a different number of devices ( HDDs, SSD, or systems).

Some solutions allow the user or administrator to configure the I/O chunk, slabs, shard, or stripe size, for example, from 8 KB to 256 KB to 1 MB (or larger), aligning with application workload and I/O profiles. Other options include the ability to set or disable read-ahead, write-through vs. write-back cache (with battery-protected cache), among other options.

The width or number of devices in a RAID parity or erasure group is based on a combination of factor, including how much data is to be stored and what your FTT objective is, along with spreading out protection overhead. Another consideration is whether you have large or small files and objects.

For example, if you have many small files and a wide stripe, parity, or erasure code set with a large chunk or shard size, you may not have an optimal configuration from a performance perspective.

The following figure shows combing various data protection availability and accessibility technologies including local as well as remote mirroring and replication, along with parity or erasure code (including LRC, RS, SHEC among others) approaches. Instead of just using one technology, a hybrid approach is used leveraging mirror (local on SSD) and replication across sites including asynchronous and synchronous. Replication modes include Asynchronous (time-delayed, eventual consistency) for longer distance, higher latency networks, and synchronous (strong consistency, real-time) for short distance or low-latency networks.

Note that the mirror and replication can be done in software deployed as part of a storage system, appliance or as tin-wrapped software, virtual machine, virtual storage appliance, container or some other deployment mode. Likewise RAID, parity and erasure code software can be deployed and packaged in different ways.

In addition to mirror and replication, solutions are also using parity based including erasure code variations for lower cost, less active data. In other words, the mirror on SSD handles active hot data, as well as any buffering or cache, while lower performance, higher capacity, lower cost data gets de-staged or migrated to a parity erasure code tier. Some vendors, service provider and solutions leveraging variations of the approach in figure 9.15 include Microsoft ( Azure and Windows) and VMware among others.

SDDC SDDI Data Protection
Figure 9.15 Combining various availability data protection techniques

A tradecraft skill is finding the balance, knowing your applications, the data, and how the data is allocated as well as used, then leveraging that insight and your experience to configure to meet your application PACE requirements.

Consider:

  • Number of drives (width) in a group, along with protection copies or parity
  • Balance rebuild performance impact and time vs. storage space overhead savings
  • Ability to mix and match various devices in different drive groups in a system
  • Management interface, tools, wizards, GUIs, CLIs, APIs, and plug-ins
  • Different approaches for various applications and environments
  • Context of a physical RAID array, system, appliance, or solution vs. logical

Erasure Codes (EC)

Erasure Codes ( EC) combines advanced protection with variable space capacity overhead over many drives, devices, or systems using large parity chunks, shards compared to traditional parity RAID approaches. There are many variations of EC as well as parity based approaches, some are tied to Reed Solomon (RS) codes while others use different approaches.

Note that some EC are optimized for reducing the overhead and cost of storing data (e.g. less space capacity) for inactive, or primarily read data. Likewise, some EC or variations are optimized for performance of reads/writes as well as reducing overhead of rebuild, reconstructions, repairs with least impact. Which EC or parity derivative approach is best depends on what you are trying to do or impact to avoid.

Reed Solomon (RS) codes

Reed Solomon (RS) codes are advanced parity protection mathematical algorithm technique that works well on large amounts of data providing protection with lower space capacity overhead depending on how configured. Many Erasure Codes (EC) are based on derivatives of RS. Btw, did you know (or remember) that RAID 2 (rarely used with few legacy implementations) has ties to RS codes? Here are some additional links to RS including via Backblaze, CMU, and Dr Dobbs.

Local Reconstruction Codes (LRC)

Microsoft leverages LRC in Azure as well as in Windows Servers. LRC are optimized for a balance of protection, space capacity savings, normal performance as well as reducing impact on running workloads during a repair, rebuild or reconstruction. One of the tradeoffs that LRC uses is to add some amount of additional space capacity in exchange for normal and abnormal (e.g. during repair) performance improvements. Where RS, EC and other parity based derivatives typically use a (k,m) nomenclature (e.g. data, protection), LRC adds an extra variable to help with constructions (k,m,n).

Some might argue that LRC are not as space efficient as other EC, RS or parity derivative variations of which the counter argument can be that some of those approaches are not as performance effective. In other words, everything is not the same, one approach does not or should not have to be applied to all, unless of course your preferred solution approach can only do one thing.

Additional LRC related material includes:

  • (PDF by Microsoft) LRC Erasure Coding in Windows Storage Spaces
  • (Microsoft Usenix Paper) Best Paper Award Erasure Coding in Azure
  • (Via MSDN Shared) Azure Storage Erasure Coding with LRC
  • (Via Microsoft) Azure Storage with Strong Consistency
  • (Paper via Microsoft) 23rd ACM Symposium on Operating Systems Principles (SOSP)
  • (Microsoft) Erasure Coding in Azure with LRC
  • (Via Microsoft) Good collection of EC, RS, LRC and related material
  • (Via Microsoft) Storage Spaces Fault Tolerance
  • (Via Microsoft) Better Way To Store Data with EC/LRC
  • (Via Microsoft) Volume resiliency and efficiency in Storage Spaces

Shingled Erasure Code (SHEC)

Shingled Erasure Codes (SHEC) are a variation of Erasure Codes leveraging shingled overlay approach similar to what is being used in Shingled Magnetic Recording (SMR) on some HDDs. Ceph has been an early promoter of SHEC, read more here, and here.

Replication and Mirroring

Replication and Mirroring create a mirror or replica copy of data across different devices, systems, servers, clusters, sites or regions. In addition to keeping a copy, mirror and replication can occur on different time intervals such as real-time ( synchronous) and time deferred (Asynchronous). Besides time intervals, mirror and replication are implemented in different locations at various altitudes or stack layers from lower level hardware adapter or storage systems and appliances, to operating systems, hypervisors, software defined storage, volume managers, databases and applications themselves.

Covered in more detail in chapters 5 and 6, synchronous provides real-time, strong consistency, although high-latency local or remote interfaces can impact primary application performance. Note there is a common myth that high-latency networks are only long distance when in fact some local networks can also be high-latency. Asynchronous (also discussed in more depth in chapters 5 and 6) enables local and remote high-latency communications to be spanned, facilitating protection over a distance without impacting primary application performance, albeit with lower consistency, time deferred, also known as eventual consistency.

Mirroring (also known as RAID 1) and replication creates a copy (a mirror or replica) across two or more storage targets (devices, systems, file systems, cloud storage service, applications such as a database). The reason for using mirrors is to provide a faster (for normal running and during recovery) failure-tolerant mode for enabling availability, resiliency, and data protection, particularly for active data.

Figure 9.10 shows general replication scenarios. Illustrated are two basic mirror scenarios: At the top, a device, volume, file system, or object bucket is replicated to two other targets (i.e., three-way or three replicas); At the bottom, is a primary storage device using a hybrid replica and dispersal technique where multiple data chunks, shards, fragments, or extents are spread across devices in different locations.

SDDC SDDI Mirror and Replication
Figure 9.10 Various Mirror and Replication Approaches

Mirroring and replication can be done locally inside a system (server, storage system, or appliance), within a cabinet, rack, or data center, or remotely, including at cloud services. Mirroring can also be implemented inside a server in software or using RAID and HBA cards to off-load the processing.

SDDC SDDI Mirror Replication Techniques
Figure 9.11 Mirror or Replication combined with Snapshots or other PiT protection

Keep in mind that mirroring and replication by themselves are not a replacement for backups, versions, snapshots, or another recovery point, time-interval (time-gap) protection. The reason is that replication and mirroring maintain a copy of the source at one or more destination targets. What this means is that anything that changes on the primary source also gets applied to the target destination (mirror or replica). However, it also means that anything changed, deleted, corrupted, or damaged on the source is also impacted on the mirror replica (assuming the mirror or replicas were or are mounted and accessible on-line).

implementations in various locations (hardware, software, cloud) include:

  • Applications and databases such as SQL Server, Oracle among others
  • File systems, volume manager, Software-defined storage managers
  • Third-party storage software utilities and drivers
  • Operating systems and hypervisors
  • Hardware adapter and off-load devices
  • Storage systems and appliances
  • Cloud and managed services

Where To Learn More

Continue reading additional posts in this series of Data Infrastructure Data Protection fundamentals and companion to Software Defined Data Infrastructure Essentials (CRC Press 2017) book, as well as the following links covering technology, trends, tools, techniques, tradecraft and tips.

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

There are various data protection technologies, tools and techniques for enabling availability of information resources including applications, data and data Infrastructure resources. Likewise there are many different aspects of RAID as well as context from legacy hardware based to cloud, virtual, container and software defined. In other words, not all RAID is in legacy storage systems, and there is a lot of FUD about RAID in general that is probably actually targeted more at specific implementations or products.

There are different approaches to meet various needs from stripe for performance with no protection by itself, to mirror and replication, as well as many parity approaches from legacy to erasure codes including Reed Solomon based as well as LRC among others. Which approach is best depends on your objects including balancing performance, availability, capacity economic (PACE) for normal running behavior as well as during faults and failure modes.

Get your copy of Software Defined Data Infrastructure Essentials here at Amazon.com, at CRC Press among other locations and learn more here. Meanwhile, continue reading with the next post in this series, Part 4 Data Protection Recovery Points (Archive, Backup, Snapshots, Versions).

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

Posted on

Data Protection Fundamentals Recovery Points (Backup, Snapshots, Versions)

Enabling Recovery Points (Backup, Snapshots, Versions)

Updated 1/7/18

Companion to Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Fundamental Server Storage I/O Tradecraft ( CRC Press 2017)

server storage I/O data infrastructure trends

By Greg Schulz – www.storageioblog.com November 26, 2017

This is Part 4 of a multi-part series on Data Protection fundamental tools topics techniques terms technologies trends tradecraft tips as a follow-up to my Data Protection Diaries series, as well as a companion to my new book Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Server Storage I/O Fundamental tradecraft (CRC Press 2017).

Software Defined Data Infrastructure Essentials Book SDDC

Click here to view the previous post Part 3 Data Protection Access Availability RAID Erasure Codes (EC) including LRC, and click here to view the next post Part 5 Point In Time Data Protection Granularity Points of Interest.

Post in the series includes excerpts from Software Defined Data Infrastructure (SDDI) pertaining to data protection for legacy along with software defined data centers ( SDDC), data infrastructures in general along with related topics. In addition to excerpts, the posts also contain links to articles, tips, posts, videos, webinars, events and other companion material. Note that figure numbers in this series are those from the SDDI book and not in the order that they appear in the posts.

In this post the focus is around Data Protection Recovery Points (Archive, Backup, Snapshots, Versions) from Chapter 10 .

SDDC, SDI, SDDI data infrastructure
Figure 1.5 Data Infrastructures and other IT Infrastructure Layers

Enabling RPO (Archive, Backup, CDP, PIT Copy, Snapshots, Versions)

SDDC SDDI Data Protection Points of Interests
Figure 9.5 Data Protection and Availability Points of Interest

RAID, including parity and erasure code (EC) along with mirroring and replication, provide availability and accessibility. These by themselves, however, are not a replacement for backup (or other point in time data protection) to support recovery points. For complete data protection the solution is to combine resiliency technology with point-in-time tools enabling availability and facilitate going back to a previous consistency time.

Recovery point protection is implemented within applications using checkpoint and consistency points as well as log and journal switches or flush. Other places where recovery-point protection occurs include in middleware, database, key-value stores and repositories, file systems, volume managers, and software-defined storage, in addition to hypervisors, operating systems, containers, utilities, storage systems, appliances, and service providers.

In addition to where, there are also different approaches, technologies, techniques, and tools, including archive, backup, continuous data protection, point-in-time copies, or clones such as snapshots, along with versioning.

Common recovery point Data Protection related terms, technologies, techniques, trends and topics pertaining to data protection from availability and access to durability and consistency to point in time protection and security are shown below.

Time interval protection for example with Snapshot, backup/restore, point in time copies, checkpoints, consistency point among other approaches can be scheduled or dynamic. They can also vary by how they copy data for example full copy or clone, or incremental and differential (e.g. what has changed) among other techniques to support 4 3 2 1 data protection. Other variations include how many concurrent copies, snapshots or versions can take place, along with how many stored and for how long (retention).

Additional Data Protection Terms

Copy Data Management ( CDM) as its name implies is associated managing various data copies for data protection, analytics among other activities. This includes being able to identify what copies exist (along with versions), where they are located among other insight.

Data Protection Management ( DPM) as its name implies is the management of data protection from backup/restore, to snapshots and other recovery point in time protection, to replication. This includes configuration, monitoring, reporting, analytics, insight into what is protected, how well it is protected, versions, retention, expiration, disposition, access control among other items.

Number of 9s Availability – Availability (access or durability or access and availability) can be expressed in number of nines. For example, 99.99 (four nines), indicates the level of availability (downtime does not exceed) objective. For example, 99.99% availability means that in a 24-hour day there could be about 9 seconds of downtime, or about 52 minutes and 34 seconds per year. Note that numbers can vary depending on whether you are using 30 days for a month vs. 365/12 days, or 52 weeks vs. 365/7 for weeks, along with rounding and number decimal places as shown in Table 9.1.

Uptime

24-hour Day

Week

Month

Year

99

0 h 14 m 24 s

1 h 40 m 48 s

7 h 18 m 17 s

3 d 15 h 36 m 15 s

99.9

0 h 01 m 27 s

0 h 10 m 05 s

0 h 43 m 26 s

0 d 08 h 45 m 36 s

99.99

0 h 00 m 09 s

0 h 01 m 01 s

0 h 04 m 12 s

0 d 00 h 52 m 34 s

99.999

0 h 00 m 01s

0 h 00 m 07 s

0 h 00 m 36 s

0 d 00 h 05 m 15 s

Table 9.1 Number of 9’s Availability Shown as Downtime per Time Interval

Service Level Objectives SLOs are metrics and key performance indicators (KPI) that guide meeting performance, availability, capacity, and economic targets. For example, some number of 9’s availability or durability, a specific number of transactions per second, or recovery and restart of applications. Service-level agreement (SLA) – SLA specifies various service level objectives such as PACE requirements including RTO and RPO, among others that define the expected level of service and any remediation for loss of service. SLA can also specify availability objectives as well as penalties or remuneration should SLO be missed.

Recovery Time Objective RTO is how much time is allowed before applications, data, or data infrastructure components need to be accessible, consistent, and usable. An RTO = 0 (zero) means no loss of access or service disruption, i.e., continuous availability. One example is an application end-to-end RTO of 4 hours, meaning that all components (application server, databases, file systems, settings, associated storage, networks) must be restored, rolled back, and restarted for use in 4 hours or less.

Another RTO example is component level for different data infrastructure layers as well as cumulative or end to end. In this scenario, the 4 hours includes time to recover, restart, and rebuild a server, application software, storage devices, databases, networks, and other items. In this scenario, there are not 4 hours available to restore the database, or 4 hours to restore the storage, as some time is needed for all pieces to be verified along with their dependencies.

Data Loss Access DLA occurs when data still exists, is consistent, durable, and safe, but it cannot be accessed due to network, application, or other problem. Note that the inverse is data that can be accessed, but it is damaged. Data Loss Event DLE is an incident that results in loss or damage to data. Note that some context is needed in a scenario in which data is stolen via a copy but the data still exists, vs. the actual data is taken and is now missing (no copies exist). Also note that there can be different granularity as well as scope of DLE for example all data or just some data lost (or damaged). Data Loss Prevention DLP encompasses the activities, techniques, technologies, tools, best practices, and tradecraft skills used to protect data from DLE or DLA.

Point in Time (PiT) such as PiT copy or data protection refers to a recovery or consistency point where data can be restored from or to (i.e., RPO), such as from a copy, snapshot, backup, sync, or clone. Essentially, as its name implies, it is the state of the data at that particular point in time.

Recovery Point Objective RPO is the point in time to which data needs to be recoverable (i.e., when it was last protected). Another way of looking at RPO is how much data you can afford to lose, with RPO = 0 (zero) meaning no data loss, or, for example, RPO = 5 minutes being up to 5 minutes of lost data.

SDDC SDDI RTO RPO
Figure 9.8 Recovery Points (point in time to recover from), and Recovery Time (how long recovery takes)

Frequency refers to how often and on what time interval protection is performed.

4 3 2 1 and 3 2 1 data protection rule
Figure 9.4 Data Protection 4 3 2 1 and 3 2 1 rule

In the context of the 4 3 2 1 rule, enabling RPO is associated with durability, meaning number of copies and versions. Simply having more copies is not sufficient because if they are all corrupted, damaged, infected, or contain deleted data, or data with latent nefarious bugs or root kits, then they could all be bad. The solution is to have multiple versions and copies of the versions in different locations to provided data protection to a given point in time.

Timeline and delta or recovery points are when data can be recovered from to move forward. They are consistent points in the context of what is/was protected. Figure 10.1 shows on the left vertical axis different granularity, along with protection and consistency points that occur over time (horizontal axis). For example, data “Hello” is written to storage (A) and then (B), an update is made “Oh Hello,” followed by (C) full backup, clone, and master snapshot or a gold copy is made.

SDDC SDDI Data Protection Recovery consistency points
Figure 10.1 Recovery and consistency points

Next, data is changed (D) to “Oh, Hello,” followed by, at time-1 (E), an incremental backup, copy, snapshot. At (F) a full copy, the master snapshot, is made, which now includes (H) “Hello” and “Oh, Hello.” Note that the previous full contained “Hello” and “Oh Hello,” while the new full (H) contains “Hello” and “Oh, Hello.” Next (G) data is changed to “Oh, Hello there,” then changed (I) to “Oh, Hello there I’m here.” Next (J) another incremental snapshot or copy is made, date is changed (K) to “Oh, Hello there I’m over here,” followed by another incremental (L), and other incremental (M) made a short time later.

At (N) there is a problem with the file, object, or stored item requiring a restore, rollback, or recovery from a previous point in time. Since the incremental (M) was too close to the recovery point (RP) or consistency point (CP), and perhaps damaged or its consistency questionable, it is decided to go to (O), the previous snapshot, copy, or backup. Alternatively, if needed, one can go back to (P) or (Q).

Note that simply having multiple copies and different versions is not enough for resiliency; some of those copies and versions need to be dispersed or placed in different systems or locations away from the source. How many copies, versions, systems, and locations are needed for your applications will depend on the applicable threat risks along with associated business impact.

The solution is to combine techniques for enabling copies with versions and point-in-time protection intervals. PIT intervals enable recovering or access to data back in time, which is a RPO. That RPO can be an application, transactional, system, or other consistency point, or some other time interval. Some context here is that there are gaps in protection coverage, meaning something was not protected.

A good data protection gap is a time interval enabling RPO, or simply a physical and logical break and the distance between the active or protection copy, and alternate versions and copies. For example, a gap in coverage (e.g. bad data protection gap) means something was not protected.

A protection air or distance gap is having one of those versions and copies on another system, in a different location and not directly accessible. In other words, if you delete, or data gets damaged locally, the protection copies are safe. Furthermore, if the local protection copies are also damaged, an air or distance gap means that the remote or alternate copies, which may be on-line or off-line, are also safe.

Good Data Protection Gaps
Figure 9.9 Air Gaps and Data Protection

Figure 10.2 shows on the left various data infrastructure layers moving from low altitude (lower in the stack) host servers or bare metal (BM) physical machine (PM) and up to higher levels with applications. At each layer or altitude, there are different hardware and software components to protect, with various policy attributes. These attributes, besides PACE, FTT, RTO, RPO, and SLOs, include granularity (full or incremental), consistency points, coverage, frequency (when protected), and retention.

SDDC SDDI Data Protection Granularity
Figure 10.2 Protecting data infrastructure granularity and enabling resiliency at various stack layers (or altitude)

Also shown in the top left of Figure 10.2 are protections for various data infrastructure management tools and resources, including active directory (AD), Azure AD (AAD), domain controllers (DC), group policy objects (GPO) and organizational units (OU), network DNS, routing and firewall, among others. Also included are protecting management systems such as VMware vCenter and related servers, Microsoft System Center, OpenStack, as well as data protection tools along with their associated configurations, metadata, and catalogs.

The center of Figure 10.2 lists various items that get protected along with associated technologies, techniques, and tools. On the right-hand side of Figure 10.2 is an example of how different layers get protected at various times, granularity, and what is protected.

For example, the PM or host server BIOS and UEFI as well as other related settings seldom change, so they do not have to be protected as often. Also shown on the right of Figure 10.2 are what can be a series of full and incremental backups, as well as differential or synthetic ones.

Figure 10.3 is a variation of Figure 10.2 showing on the left different frequencies and intervals, with a granularity of focus or scope of coverage on the right. The middle shows how different layers or applications and data focus have various protection intervals, type of protection (full, incremental, snap, differentials), along with retention, as well as some copies to keep.

SDDC SDDI Data Protection Granularity
Figure 10.3 Protecting different focus areas with various granularities

Protection in Figures 10.2 and 10.3 for the PM could be as simple as documentation of what settings to configure, versions, and other related information. A hypervisors may have changes, such as patches, upgrades, or new drivers, more frequently than a PM. How you go about protecting may involve reinstalling from your standard or custom distribution software, then applying patches, drivers, and settings.

You might also have a master copy of a hypervisors on a USB thumb drive or another storage device that can be cloned, customized with the server name, IP address, log location, and other information. Some backup and data protection tools also provide protection of hypervisors (or containers and cloud machine instances) in addition to the virtual machine (VM), guest operating systems, applications, and data.

The point is that as you go up the stack, higher in altitude (layers), the granularity and frequency of protection increases. What this means is that you may have more frequent smaller protection copies and consistency points higher up at the application layer, while lower down, less frequent, yet larger full image, volume, or VM protection, combining different tools, technology, and techniques.

Where To Learn More

Continue reading additional posts in this series of Data Infrastructure Data Protection fundamentals and companion to Software Defined Data Infrastructure Essentials (CRC Press 2017) book, as well as the following links covering technology, trends, tools, techniques, tradecraft and tips.

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

Everything is not the same across different environments, data centers, data infrastructures, applications and their workloads (along with data, and its value). Likewise there are different approaches for enabling data protection to meet various SLO needs including RTO, RPO, RAS, FTT and PACE attributes among others. What this means is that complete data protection requires using different new (and old) tools, technologies, trends, services (e.g. cloud) in new ways. This also means leveraging existing and new techniques, learning from lessons of the past to prevent making the same errors.

RAID (mirror, replicate, parity including erasure codes) regardless of where and how implemented (hardware, software, legacy, virtual, cloud) by itself is not a replacement for backup, they need to be combined with recovery point protection of some type (backup, checkpoint, consistency point, snapshots). Also protection should occur at multiple levels of granularity (device, system, application, database, table) to meet various SLO requirements as well as different time intervals enabling 4 3 2 1 data protection.

Keep in mind what is it that you are protecting, why are you protecting it and against what, what is likely to happen, also if something happens what will its impact be, what are your SLO requirements, as well as minimize impact to normal operating, as well as during failure scenarios. For example do you need to have a full system backup to support recovery of an individual database table, or can that table be protected and recovered via checkpoints, snapshots or other fine-grained routine protection? Everything is not the same, why treat and protect everything the same way?

Get your copy of Software Defined Data Infrastructure Essentials here at Amazon.com, at CRC Press among other locations and learn more here. Meanwhile, continue reading with the next post in this series, Part 5 Point In Time Data Protection Granularity Points of Interest.

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

Posted on

Data Protection Diaries Fundamental Point In Time Granularity Points of Interest

Data Protection Diaries Fundamental Point In Time Granularity

Companion to Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Fundamental Server Storage I/O Tradecraft ( CRC Press 2017)

server storage I/O data infrastructure trends

By Greg Schulz – www.storageioblog.com November 26, 2017

This is Part 5 of a multi-part series on Data Protection fundamental tools topics techniques terms technologies trends tradecraft tips as a follow-up to my Data Protection Diaries series, as well as a companion to my new book Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Server Storage I/O Fundamental tradecraft (CRC Press 2017).

Software Defined Data Infrastructure Essentials Book SDDC

Click here to view the previous post Part 4 Data Protection Recovery Points (Archive, Backup, Snapshots, Versions), and click here to view the next post Part 6 Data Protection Security Logical Physical Software Defined.

Post in the series includes excerpts from Software Defined Data Infrastructure (SDDI) pertaining to data protection for legacy along with software defined data centers ( SDDC), data infrastructures in general along with related topics. In addition to excerpts, the posts also contain links to articles, tips, posts, videos, webinars, events and other companion material. Note that figure numbers in this series are those from the SDDI book and not in the order that they appear in the posts.

In this post the focus is around Data Protection points of granularity, addressing different layers and stack altitude (higher application and lower system level) Chapter 10 . among others.

Point-in-Time Protection Granularity Points of Interest

SDDC SDDI Data Protection Recovery consistency points
Figure 10.1 Recovery and consistency points

Figure 10.1 above is a refresh from previous posts about the role and importance of having various recovery points at different time intervals to enable data protection (and restoration). Building upon figure 10.1, figure 10.5 looks at different granularity of where and how data should be protected. Keep in mind that everything is not the same, so why treat everything the same with the same type of protection?

Figure 10.5 shows backup and Data Protection focus, granularity, and coverage. For example, at the top left is less frequent protection of the operating system, hypervisors, and BIOS, UEFI settings. At the middle left is volume, or device level protection (full, incremental, differential), along with various views on the right ranging from protecting everything, to different granularity such as file system, database, database logs and journals, and operating system (OS) and application software, along with settings.

SDDC SDDI Different Protection Granularity
Figure 10.5 Backup and data protection focus, granularity, and coverage

In Figure 10.5, note that the different recovery point focus and granularity also take into consideration application and data consistency (as well as checkpoints), along with different frequencies and coverage (e.g. full, partial, incremental, incremental forever, differential) as well as retention.

Tip – Some context is needed about object backup and backing up objects, which can mean different things. As mentioned elsewhere, objects refer to many different things, including cloud and object storage buckets, containers, blobs, and objects accessed via S3 or Swift, among other APIs. There are also database objects and entities, which are different from cloud or object storage objects.

Another context factor is that an object backup can refer to protecting different systems, servers, storage devices, volumes, and entities that collectively comprise an application such as accounting, payroll, or engineering, vs. focusing on the individual components. An object backup may, in fact, be a collection of individual backups, PIT copies, and snapshots that combined represent what’s needed to restore an application or system.

On the other hand, the content of a cloud or object storage repository ( buckets, containers, blobs, objects, and metadata) can be backed up, as well as serve as a destination target for protection.

Backups can be cold and off-line like archives, as well as on-line and accessible. However, the difference between the two, besides intended use and scope, is granularity. Archives are intended to be coarser and less frequently accessed, while backups can be more frequently and granular accessed. Can you use a backup for an archive and vice versa? A qualified yes, as an archive could be a master gold copy such as an annual protection copy, in addition to functioning in its role as a compliance and retention copy. Likewise, a full backup set to long-term retention can provide and enable some archive functions.

Where To Learn More

Continue reading additional posts in this series of Data Infrastructure Data Protection fundamentals and companion to Software Defined Data Infrastructure Essentials (CRC Press 2017) book, as well as the following links covering technology, trends, tools, techniques, tradecraft and tips.

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

A common theme in this series as well as in my books, webinars, seminars and general approach to data infrastructures, data centers and IT in general is that everything is not the same, why treat it all the same? What this means is that there are differences across various environments, data centers, data infrastructures, applications, workloads and data. There are also different threat risks scenarios (e.g. threat vectors and attack surface if you like vendor industry talk) to protect against.

Rethinking and modernizing data protection means using new (and old) tools in new ways, stepping back and rethinking what to protect, when, where, why, how, with what. This also means protecting in different ways at various granularity, time intervals, as well as multiple layers or altitude (higher up the application stack, or lower level).

Get your copy of Software Defined Data Infrastructure Essentials here at Amazon.com, at CRC Press among other locations and learn more here. Meanwhile, continue reading with the next post in this series, Part 6 Data Protection Security Logical Physical Software Defined.

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

Posted on

Data Infrastructure Data Protection Diaries Fundamental Security Logical Physical

Data Infrastructure Data Protection Security Logical Physical

Companion to Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Fundamental Server Storage I/O Tradecraft ( CRC Press 2017)

server storage I/O data infrastructure trends

By Greg Schulz – www.storageioblog.com November 26, 2017

This is Part 6 of a multi-part series on Data Protection fundamental tools topics techniques terms technologies trends tradecraft tips as a follow-up to my Data Protection Diaries series, as well as a companion to my new book Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Server Storage I/O Fundamental tradecraft (CRC Press 2017).

Software Defined Data Infrastructure Essentials Book SDDC

Click here to view the previous post Part 5 – Point In Time Data Protection Granularity Points of Interest, and click here to view the next post Part 7 – Data Protection Tools, Technologies, Toolbox, Buzzword Bingo Trends.

Post in the series includes excerpts from Software Defined Data Infrastructure (SDDI) pertaining to data protection for legacy along with software defined data centers ( SDDC), data infrastructures in general along with related topics. In addition to excerpts, the posts also contain links to articles, tips, posts, videos, webinars, events and other companion material. Note that figure numbers in this series are those from the SDDI book and not in the order that they appear in the posts.

In this post the focus is around Data Infrastructure and Data Protection security including logical as well as physical from chapter 10 , 13 and 14 among others.

SDDC, SDI, SDDI data infrastructure
Figure 1.5 Data Infrastructures and other IT Infrastructure Layers

There are many different aspects of security pertaining to data infrastructures that span various technology domains or focus areas from higher level application software to lower level hardware, from legacy to cloud an software-defined, from servers to storage and I/O networking, logical and physical, from access control to intrusion detection, monitoring, analytics, audit, monitoring, telemetry logs, encryption, digital forensics among many others. Security should not be an after thought of something done independent of other data infrastructure, data center and IT functions, rather integrated.

Security Logical Physical Software Defined

Physical security includes locked doors of facilities, rooms, cabinets or devices to prevent un-authorized access. In addition to locked doors, physical security also includes safeguards to prevent accidental or intentional acts that would compromise the contents of a data center including data Infrastructure resources (servers, storage, I/O networks, hardware, software, services) along with the applications that they support.

Logical security includes access controls, passwords, event and access logs, encryption among others technologies, tools, techniques. Figure 10.11 shows various data infrastructure security–related items from cloud to virtual, hardware and software, as well as network services. Also shown are mobile and edge devices as well as network connectivity between on-premises and remote cloud services. Cloud services include public, private, as well as hybrid and virtual private clouds (VPC) along with virtual private networks (VPN). Access logs for telemetry are also used to track who has accessed what and when, as well as success along with failed attempts.

Certificates (public or private), Encryption, Access keys including .pem and RSA files via a service provider or self-generated with a tool such as Putty or ssh-keygen among many others. Some additional terms including Two Factor Authentication (2FA), Subordinated, Role based and delegated management, Single Sign On (SSO), Shared Access Signature (SAS) that is used by Microsoft Azure for access control, Server Side Encryption (SSE) with various Key Management System (KMS) attributes including customer managed or via a third-party.

SDDC SDDI Data Protection Security
Figure 10.11 Various physical and logical security and access controls

Also shown in figure 10.11 are encryption enabled at various layers, levels or altitude that can range from simple to complex. Also shown are iSCSI IPsec and CHAP along with firewalls, Active Directory (AD) along with Azure AD (AAD), and Domain Controllers (DC), Group Policies Objects (GPO) and Roles. Note that firewalls can exist in various locations both in hardware appliances in the network, as well as software defined network (SDN), network function virtualization (NFV), as well as higher up.

For example there are firewalls in network routers and appliances, as well as within operating systems, hypervisors, and further up in web blogs platforms such as WordPress among many others. Likewise further up the stack or higher in altitude access to applications as well as database among other resources is also controlled via their own, or in conjunction with other authentication, rights and access control including ADs among others.

A term that might be new for some is attestation which basically means to authenticate and be validated by a server or service, for example, a host guarded server attests with a attestation server. What this means is that the host guarded server (for example Microsoft Windows Server) attests with a known attestation server, that looks at the Windows server comparing it to known good fingerprints, profiles, making sure it is safe to run as a guarded resources.

Other security concerns for legacy and software defined environments include secure boot, shield VMs, host guarded servers and fabrics (networks or clusters of servers) for on-premises, as well as cloud. The following image via Microsoft shows an example of shielded VMs in a Windows Server 2016 environment along with host guarded service (HGS) components ( see how to deploy here).


Via Microsoft.com Guarded Hosts, Shielded VMs and Key Protection Services

Encryption can be done in different locations ranging from data in flight or transit over networks (local and remote), as well as data at rest or while stored. Strength of encryption is determined by different hash and cipher codes algorithms including SHA among others ranging from simple to more complex. The encryption can be done by networks, servers, storage systems, hypervisors, operating systems, databases, email, word and many other tools at granularity from device, file systems, folder, file, database, table, object or blob.

Virtual machine and their virtual disks ( VHDX and VMDK) can be encrypted, as well as migration or movements such as vMotions among other activities. Here are some VMware vSphere encryption topics, along with deep dive previews from VMworld 2016 among other resources here, VMware hardening guides here (NSX, vSphere), and a VMware security white paper (PDF) here.

Other security-related items shown in Figure 10.11 include Lightweight Direct Access Protocol (LDAP), Remote Authentication Dial-In User Service (RADIUS), and Kerberos network authentication. Also shown are VPN along with Secure Socket Layer (SSL) network security, along with security and authentication keys, credentials for SSH remote access including SSO. The cloud shown in figure 10.11 could be your own private using AzureStack, VMware (on-site, or public cloud such as IBM or AWS), OpenStack among others, or a public cloud such as AWS, Azure or Google (among others).

Where To Learn More

Continue reading additional posts in this series of Data Infrastructure Data Protection fundamentals and companion to Software Defined Data Infrastructure Essentials (CRC Press 2017) book, as well as the following links covering technology, trends, tools, techniques, tradecraft and tips.

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

There are many different aspects, as well as layers of security from logical to physical pertaining to data centers, applications and associated data Infrastructure resources, both on-premises and cloud. Security for legacy and software defined environments needs to be integrated as part of various technology domain focus areas, as well as across them including data protection. The above is a small sampling of security related topics with more covered in various chapters of SDDI Essentials as well as in my other books, webinars, presentations and content.

From a data protection focus, security needs to be addressed from a physical who has access to primary and protection copies, what is being protected against and where, as well as who can access logically protection copes, as well as the configuration, settings, certificates involved in data protection. In other words, how are you protecting your data protection environment, configuration and deployment. Data protection copies need to be encrypted to meet regulations, compliance and other requirements to guard against loss or theft, accidental or intentional. Likewise access control needs to be managed including granting of roles, security, authentication, monitoring of access, along with revocation.

Get your copy of Software Defined Data Infrastructure Essentials here at Amazon.com, at CRC Press among other locations and learn more here. Meanwhile, continue reading with the next post in this series, Part 7 Data Protection Tools, Technologies, Toolbox, Buzzword Bingo Trends

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

Posted on

Data Protection Diaries Tools Technologies Toolbox Buzzword Bingo Trends

Fundamental Tools, Technologies, Toolbox, Buzzword Bingo Trends

Companion to Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Fundamental Server Storage I/O Tradecraft ( CRC Press 2017)

This is Part 7 of a multi-part series on Data Protection fundamental tools topics techniques terms technologies trends tradecraft tips as a follow-up to my Data Protection Diaries series, as well as a companion to my new book Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Server Storage I/O Fundamental tradecraft (CRC Press 2017).

Software Defined Data Infrastructure Essentials Book SDDC

Click here to view the previous post Part 6 Data Protection Security Logical Physical Software Defined, and click here to view the next post Part 8 Walking The Data Protection Talk What I Do.

Post in the series includes excerpts from Software Defined Data Infrastructure (SDDI) pertaining to data protection for legacy along with software defined data centers ( SDDC), data infrastructures in general along with related topics. In addition to excerpts, the posts also contain links to articles, tips, posts, videos, webinars, events and other companion material. Note that figure numbers in this series are those from the SDDI book and not in the order that they appear in the posts.

In this post the focus is around Data Protection related tools, technologies, trends as companion to other posts in this series, as well as across various chapters from the SDDI book.

SDDC, SDI, SDDI data infrastructure
Figure 1.5 Data Infrastructures and other IT Infrastructure Layers

Data Protection Tools, Technologies, Toolbox, Buzzword Bingo Trends

There are many data Infrastructure related topics, technologies, tools, trends, techniques and tips that pertain to data protection, many of which have been covered in this series of posts already, as well as in the SDDI Essentials book, and elsewhere. The following are some additional related data Infrastructure data protection topics, tools, technologies.

Buzzword Bingo is a popular industry activity involving terms, trends, tools and more, read more here, here, and here. The basic idea of buzzword bingo is when somebody starts mentioning lots of buzzwords, buzz terms, buzz trends at some point just say bingo. Sometimes you will get somebody who asks what that means, while others will know, perhaps get the point to move on to what’s relevant vs. talking the talk or showing how current they are on industry activity, trends and terms.

Just as everything is not the same across different environments, there are various size and focus from hyper-scale clouds and managed service providers (MSP) server (and storage along with applications focus), smaller and regional cloud, hosting and MSPs, as well as large enterprise, small medium enterprise (SME), small medium business (SMB), remote office branch office (ROBO), small office home office (SOHO), prosumer, consumer and client or edge. Sometimes you will hear server vs. edge or client focus, thus context is important.

Data protection just like data infrastructures span servers, storage, I/O networks, hardware, software, clouds, containers, virtual, hypervisors and related topics. Otoh, some might view data protection as unique to a particular technology focus area or domain. For example, I once had backup vendor tell me that backups and data protection was not a storage topic, can you guess which vendor did not get recommend for data protection of data stored on storage?

Data gets protected to different target media, mediums or services including HDDs, SSD, tape, cloud, bulk and object storage among others in various format from native to encapsulated in save sets, zips, tar ball among others.

Bulk storage can be on-site, on-premises low-cost tape, disk (file, block or object) as well as off-site including cloud services such as AWS S3 (buckets and objects), Microsoft Azure (containers and blobs), Google among others using various Access ( Protocols, Personalities, Front-end, Back-end) technologies. Which type of data protection storage medium, location or service is best depends on what you are trying to do, along with other requirements.

SDDC SDDI data center data protection toolbox
Data Protection Toolbox

SDDC SDDI Object Storage Architecture
Figure 3.18 Generic Object (and Blob) architecture with Buckets (and Containers)

Object Storage

Before discussing Object Storage lets take a step back and look at some context that can clarify some confusion around the term object. The word object has many different meanings and context, both inside of the IT world as well as outside. Context matters with the term object such as a verb being a thing that can be seen or touched as well as a person or thing of action or feeling directed towards.

Besides a person, place or physical thing, an object can be a software defined data structure that describes something. For example, a database record describing somebody’s contact or banking information, or a file descriptor with name, index ID, date and time stamps, permissions and access control lists along with other attributes or metadata. Another example is an object or blob stored in a cloud or object storage system repository, as well as an item in a hypervisor, operating system, container image or other application.

Besides being a verb, object can also be a noun such as disapproval or disagreement with something or someone. From an IT context perspective, object can also refer to a programming method (e.g. object oriented programming [oop], or Java [among other environments] objects and class’s) and systems development in addition to describing entities with data structures.

In other words, a data structure describes an object that can be a simple variable, constant, complex descriptor of something being processed by a program, as well as a function or unit of work. There are also objects unique or with context to specific environments besides Java or databases, operating systems, hypervisors, file systems, cloud and other things.

SDDC SDDI Object Storage Example
Figure 3.19 AWS S3 Object storage example, objects left and descriptive names on right

The role of object storage (view more at www.objectstoragecenter.com) is to provide low-cost, scalable capacity, durable availability of data including data protection copies on-premises or off-site. Note that not all object storage solutions or services are the same, some are immutable with write once read many (WORM) like attributes, while others non-immutable meaning that they can be not only appended to, also updated to page or block level granularity.

Also keep in mind that some solutions and services refer to items being stored as objects while others as blobs, and the name space those are part of as a bucket or container. Note that context is important not to confuse an object container with a docker, kubernetes or micro services container.

Many applications and storage systems as well as appliances support as back-end targets cloud access using AWS S3 API (of AWS S3 service or other solutions), as well as OpenStack Switch API among others. There are also many open source and third-party tools for working with cloud storage including objects and blobs. Learn more about object storage, cloud storage at www.objectstoragecenter.com as well as in chapters 3, 4, 13 and 14 in SDDI Essentials book.

S3 Simple Storage Service

Simple Storage Service ( S3) is the Amazon Web Service (AWS) cloud object storage service that can be used for bulk and other storage needs. The S3 service can be accessed from within AWS as well as externally via different tools. AWS S3 supports large number of buckets and objects across different regions and availability zones. Objects can be stored in a hierarchical directory structure format for compatibility with existing file systems or as a simple flat name space.

Context is important with data protection and S3 which can mean the access API, or AWS service. Likewise context is important in that some solutions, software and services support S3 API access as part of their front-end (e.g. how servers or clients access their service), as well as a back-end target (what they can store data on).

Additional AWS S3 (service) and related resources include:

Data Infrastructure Environments and Applications

Data Infrastructure environments that need to be protected include legacy, software defined (SDDC, SDDI, SDS), cloud, virtual and container based, as well as clustered, scale-out, converged Infrastructure (CI), hyper-converged Infrastructure (HCI) among others. In addition to data protection related topics already converged in the posts in this series (as well as those to follow), a related topic is Data Footprint Reduction ( DFR). DFR comprises several different technologies and techniques including archiving, compression, compaction, deduplication (dedupe), single instance storage, normalization, factoring, zip, tiering and thin provisioning among many others.

Data Footprint Reduction (DFR) Including Dedupe

There is a long-term relationship with data protection and DFR in that to reduce the impact of storing more data, traditional techniques such as compression and compaction have been used, along with archive and more recently dedupe among others. In the Software Defined Data Infrastructure Essentials book there is an entire chapter on DFR ( chapter 11), as well as related topics in chapters 8 and 13 among others. For those interested in DFR and related topics, there is additional material in my books Cloud and Virtual Data Storage Networking (CRC Press), along with in The Green and Virtual Data Center (CRC Press), as well as various posts on StorageIOblog.com and storageio.com. Figure 11.4 is from Software Defined Data Infrastructure Essentials showing big picture of various places where DFR can be implemented along with different technologies, tools and techniques.

SDDC, SDI, SDDI DFR Dedupe
Figure 11.4 Various points of interest where DFR techniques and technology can be applied

Just as everything is not the same, there are different DFR techniques along with implementations to address various application workload and data performance, availability, capacity, economics (PACE) needs. Where is the best location for DFR that depends on your objectives as well as what your particular technology can support. However in general, I recommend putting DFR as close to where the data is created and stored as possible to maximize its effectiveness which can be on the host server. That however also means leveraging DFR techniques downstream where data gets sent to be stored or protected. In other words, a hybrid DFR approach as a companion to data protection should use various techniques, technologies in different locations. Granted, your preferred vendor might only work in a given location or functionality so you can pretty much guess what the recommendations will be ;) .

Tips, Recommendations and Considerations

Additional learning experiences along with common questions (and answers), appendices, as well as tips can be found here.

General action items, tips, considerations and recommendations include:

    • Everything is not the same; different applications with SLO, PACE, FTT, FTM needs
    • Understand the 4 3 2 1 data protection rule and how to implement it.
    • Balance rebuild performance impact and time vs. storage space overhead savings.
    • Use different approaches for various applications and environments.
    • What is best for somebody else may not be best for you and your applications.
    • You cant go forward in the future after a disaster if you cant go back
    • Data protection is a shared responsibility between vendors, service providers and yourself
    • There are various aspects to data protection and data Infrastructure management

Where To Learn More

Continue reading additional posts in this series of Data Infrastructure Data Protection fundamentals and companion to Software Defined Data Infrastructure Essentials (CRC Press 2017) book, as well as the following links covering technology, trends, tools, techniques, tradecraft and tips.

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

There are many different buzzword, buzz terms, buzz trends pertaining to data infrastructure and data protection. These technologies span legacy and emerging, software-defined, cloud, virtual, container, hardware and software. Key point is what technology is best fit for your needs and applications, as well as how to use the tools in different ways (e.g. skill craft techniques and tradecraft). Keep context in mind when looking at and discussing different technologies such as objects among others.

Get your copy of Software Defined Data Infrastructure Essentials here at Amazon.com, at CRC Press among other locations and learn more here. Meanwhile, continue reading with the next post in this series, Part 8 Walking The Data Protection Talk.

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

Posted on

Data Protection Diaries Fundamentals Walking The Data Protection Talk

Data Protection Diaries Walking The Data Protection Talk

Companion to Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Fundamental Server Storage I/O Tradecraft ( CRC Press 2017)

server storage I/O data infrastructure trends

By Greg Schulz – www.storageioblog.com November 26, 2017

This is Part 8 of a multi-part series on Data Protection fundamental tools topics techniques terms technologies trends tradecraft tips as a follow-up to my Data Protection Diaries series, as well as a companion to my new book Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Server Storage I/O Fundamental tradecraft (CRC Press 2017).

Software Defined Data Infrastructure Essentials Book SDDC

Click here to view the previous post Data Protection Tools, Technologies, Toolbox, Buzzword Bingo Trends, and click here to view the next post who’s Doing What ( Toolbox Technology Tools).

Post in the series includes excerpts from Software Defined Data Infrastructure (SDDI) pertaining to data protection for legacy along with software defined data centers ( SDDC), data infrastructures in general along with related topics. In addition to excerpts, the posts also contain links to articles, tips, posts, videos, webinars, events and other companion material. Note that figure numbers in this series are those from the SDDI book and not in the order that they appear in the posts.

In this post the focus is around what I (and Server StorageIO) does for Data Protection besides just talking the talk and is a work in progress that is being updated over time with additional insights.

Walking The Data Protection Talk What I Do

A couple of years back I did the first post as part of the Data Protection Diaries series ( view here), that included the following image showing some data protection needs and requirements, as well as what being done, along with areas for improvement. Part of what I and Server StorageIO does involves consulting (strategy, design, assessment), advising and other influencers activities (e.g. blog, write articles, create reports, webinars, seminars, videos, podcasts) pertaining to data Infrastructure topics as well as data protection.

What this means is knowing about the trends, tools, technologies, what’s old and new, who’s doing what, what should be in the data protection toolbox, as well as how to use those for different scenarios. Its one thing to talk the talk, however I also prefer to walk the talk including eating my own dog food applying various techniques, approaches, tools and technologies discussed.

The following are from a previous Data Protection Diaries post where I discuss my data protection needs (and wants) some of which have evolved since then. Note the image on the left is my Livescribe Echo digital pen and paper tablet. On the right is an example of the digital image created and imported into my computer from the Livescribe. In other words, Im able to protect my hand written notes, diagrams and figures.

Data Protection Diaries Data Protection Diaries Walking The Talk
Via my Livescribe Echo digital pen ( get your Livescribe here at Amazon.com)

My Environment and data protection is always evolving, some based on changing projects, others that are more stable. Likewise the applications along with data are varied after all, everything is not the same. My data protection includes snapshots, replication, mirror, sync, versions, backup, archive, RAID, erasure code among others technologies, tools, and techniques.

Applications range from desktop, office, email, documents, spreadsheets, presentations, video, audio and related items in support of day-to-day activities. Then there are items part of various projects that range from physical to virtual, cloud and container leveraging various tools. This means having protection copies (sync, backup, snapshots, consistency points) of virtual machines, physical machine instances, applications and databases such as SQL Server among many others. Other application workloads include web, word press blog and email among others.

The Server StorageIO environment consists of a mix of legacy on-premises technologies from servers, storage, hardware, software, networks, tools as well as software defined virtual (e.g. VMware, Hyper-V, Docker among others), as well as cloud. The StorageIO data Infrastructure environment consists of dedicated private server (DPS) that I have had for several years now that supports this blog as well as other sites and activity. I also have a passive standby site used for testing of the WordPress based blog on an AWS Lightsail server. I use tools such as Updraft Plus Premium to routinely create a complete data protection view (database, plugins, templates, settings, configuration, core) of my WordPress site (runs on DPS) that is stored in various locations, including at AWS.

Data Protection Diaries Walking The Talk
Some of my past data protection requirements (they have evolved)

Currently the Lightsail Virtual Private Server (VPS) is in passive mode, however plans are to enable it as a warm or active standby fail over site for some of the DPS functions. One of the tools I have for monitoring and insight besides those in WordPress and the DPS are AWS Route 53 alerts that I have set up to monitor endpoints. AWS Route 53 is a handy resource for monitoring your endpoints such as a website, blog among other things and have it notify you, or take action including facilitating DNS fail over if needed. For now, Im simply using Route 53 besides as a secondary DNS as a notification tool.

Speaking of AWS, I have compute instances in Elastic Cloud Compute (EC2) along with associated Elastic Block Storage (EBS) volumes as well as their snapshots. I also have AWS S3 buckets in different regions that are on various tiers from standard to infrequent access (IA), as well as some data on Glacier. Data from my DPS at Bluehost gets protected to a AWS S3 bucket that I can access from AWS EC2, as well as via other locations including Microsoft Azure as needed.

Some on-premises data also gets protected to AWS S3 (as well as to elsewhere) using various tools, for different granularity, frequency, access and retention. After all, everything is not the same, why treat it the same. Some of the data protected to AWS S3 buckets is in native format (e.g. they appear as objects to S3 or object enabled applications), as well as file to file based applications with appropriate tools.

Other data that is also protected to AWS S3 from different data protection or backup tools are stored in vendor neutral or vendor specific save set, zip, tar ball or other formats. In other words, I need the tool or compatible tool that knows the format of the saved data to retrieve individual data files, items or objects. Note that this is similar to storing data on tape, HDDs, SSD or other media in native format vs. in some type of encapsulate save set or other format.

In addition to protecting data to AWS, I also have data at Microsoft Azure among other locations. Other locations include non-cloud based off-site where encrypted removable media is periodically taken to a safe secure place as a master, gold in case of major emergency, ransomeware copy.

Why not just rely on cloud copies?

Simple, I can pull individual files or relatively small amounts of data back from the cloud sometimes faster (or easier) than from on-site copies, let alone my off-site, off-line, air gap copies. On the other hand, if I need to restore large amounts of data, without a fast network, it can be quicker to get the air gap off-line, off-site copy, do the large restore, then apply incremental or changed data via cloud. In other a hybrid approach.

Now a common question I get is why not just do one or the other and save some money. Good point, I would save some money, however by doing the above among other things, they are part of being able to test, try new and different things, gain insight, experience not to mention walk the talk vs. simply talking the talk.

Of course Im always looking for ways to streamline to make my data protection more efficient, as well as effective (along with remove complexity and costs).

  • Everything is not the same, so why treat it all the same with common SLO, RTO, RPO and retention?
  • Likewise why treat and store all data the same way, on the same tiers of technology
  • Gain insight and awareness into environment, applications, workloads, PACE needs
  • Applications, data, systems or devices are protected with different granularity and frequency
  • Apply applicable technology and tools to the task at hand
  • Any data I have in cloud has a copy elsewhere, likewise, any data on-premises has a copy in the cloud or elsewhere
  • I implement the 4 3 2 1 rule by having multiple copies, versions, data in different locations, on and off-line including cloud
  • From a security standpoint, many different things are implemented on a logical as well as physical basis including encryption
  • Ability to restore data as well as applications or image instances locally as well as into cloud environments
  • Leverage different insight and awareness, reporting, analytics and monitoring tools
  • Mix of local storage configured with different RAID and other protection
  • Test, find, fix, remediate improve the environment including leveraging lessons learned

Where To Learn More

Continue reading additional posts in this series of Data Infrastructure Data Protection fundamentals and companion to Software Defined Data Infrastructure Essentials (CRC Press 2017) book, as well as the following links covering technology, trends, tools, techniques, tradecraft and tips.

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

Everything is not the same, thats why in my environment I use different technologies, tools and techniques to protect my data. This also means having different RTO, RPO across various applications, data and systems as well as devices. Data that is more important has more copies, versions in different locations as well as occurring more frequently as part of 4 3 2 1 data protection. Other data that does not change as frequently, or time sensitive have alternate RTO and RPO along with corresponding frequency of protection.

Get your copy of Software Defined Data Infrastructure Essentials here at Amazon.com, at CRC Press among other locations and learn more here. Meanwhile, continue reading with the next post in this series Part 9 who’s Doing What (Toolbox Technology Tools).

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

Posted on

Data Protection Diaries Fundamentals Who Is Doing What Toolbox Technology Tools

Data Protection Toolbox Whos Doing What Technology Tools

Updated 1/17/2018

Data protection toolbox is a companion to Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Fundamental Server Storage I/O Tradecraft ( CRC Press 2017)

server storage I/O data infrastructure trends

By Greg Schulz – www.storageioblog.com November 26, 2017

This is Part 9 of a multi-part series on Data Protection fundamental tools topics techniques terms technologies trends tradecraft tips as a follow-up to my Data Protection Diaries series, as well as a companion to my new book Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Server Storage I/O Fundamental tradecraft (CRC Press 2017).

Software Defined Data Infrastructure Essentials Book SDDC

Click here to view the previous post Part 8 Walking The Data Protection Talk, and click here to view the next post Part 10 Data Protection Resources Where to Learn More.

Post in the series includes excerpts from Software Defined Data Infrastructure (SDDI) pertaining to data protection for legacy along with software defined data centers ( SDDC), data infrastructures in general along with related topics. In addition to excerpts, the posts also contain links to articles, tips, posts, videos, webinars, events and other companion material. Note that figure numbers in this series are those from the SDDI book and not in the order that they appear in the posts.

In this post the focus is around Data Protection who’s Doing What ( Toolbox Technology Tools).

SDDC, SDI, SDDI data infrastructure
Figure 1.5 Data Infrastructures and other IT Infrastructure Layers

who’s Doing What (Toolbox Technology Tools)

SDDC SDDI data center data protection toolbox
Data Protection Toolbox

Note that this post is evolving with additional tools, technologies, techniques, hardware, software, services being added over time along with applicable industry links.

The following are a sampling of some hardware, software, solution and component vendors along with service providers involved with data protection from RAID, Erasure Codes (EC) to snapshots, backup, BC, BR, DR, archive, security, cloud, bulk object storage, HDDs, SSD, tape among others including buzzword (and buzz term trends) bingo. Acronis, Actifio, Arcserve, ATTO, AWS, Backblaze, Barracuda, Broadcom, Caringo, Chelsio (offload), Code42/Crashplan, Cray, Ceph, Cisco, Cloudian, Cohesity, Compuverde, Commvault, Datadog, Datrium, Datos IO, DDN, Dell EMC, Druva, E8, Elastifile, Exagrid, Excelero, Fujifilm, Fujutsu, Google, HPE, Huawei, Hedvig, IBM, Intel, Iomega, Iron Mountain, IBM, Jungledisk, Kinetic key value drives (Seagate), Lenovo, LTO organization, Mangstor, Maxta, Mellanox (offload), Micron, Microsoft (Azure, Windows, Storage Spaces), Microsemi, Nakivo, NetApp, NooBaa, Nexsan, Nutanix, OpenIO, OpenStack (Swift), Oracle, Panasas, Panzura, Promise, Pure, Quantum, Quest, Qumulo, Retrospect, Riverbed, Rozo, Rubrik, Samsung, Scale, Scality, Seagate (DotHill), Sony, Solarwinds, Spectralogic, Starwind, Storpool, Strongbox, Sureline, Swiftstack, Synology, Toshiba, Tintri, Turbonomics, Unitrends, Unix and Linux platforms, Vantara, Veeam, VMware, Western Digital (Amplidata, Tegile and others), WekaIO, X-IO, Zadara and Zmanda among many others.

Note if you dont see yours, or your favorite, preferred or clients listed above or in the data Infrastructure industry related links send us a note for consideration to be included in future updates, or having a link, or sponsor spot pointing to your site added. Feel free to add a non sales marketing pitch to courteous comments to the comment section below.

View additional IT, data center and data Infrastructure along with data protection related vendors, services, tools, technologies links here.

Where To Learn More

Continue reading additional posts in this series of Data Infrastructure Data Protection fundamentals and companion to Software Defined Data Infrastructure Essentials (CRC Press 2017) book, as well as the following links covering technology, trends, tools, techniques, tradecraft and tips.

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

Part of modernizing data protection for various data center and data infrastructure environments is to know the tools, technologies and trends that are part of your data protection toolbox. The other part of modernizing data is protection is knowing the techniques of how to use different tools, technologies to meet various application workload performance, availability, capacity economic (PACE) needs.

Also keep in mind that information services requires applications (e.g. programs) and that programs are a combination of algorithms (code, rules, policies) and data structures (e.g. data and how it is organized including unstructured). What this means is that data protection needs to address not only data, also the applications, configuration settings, metadata as well as protecting the protection tools and its data.

Get your copy of Software Defined Data Infrastructure Essentials here at Amazon.com, at CRC Press among other locations and learn more here. Meanwhile, continue reading with the next post in this series, Part 10 Data Protection Fundamental Resources Where to Learn More.

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

Posted on

Data Protection Diaries Fundamental Resources Where to Learn More

Data Protection Diaries Fundamental Resources Where to Learn More

Companion to Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Fundamental Server Storage I/O Tradecraft ( CRC Press 2017)

server storage I/O data infrastructure trends

By Greg Schulz – www.storageioblog.com November 26, 2017

This is the last in a multi-part series on Data Protection fundamental tools topics techniques terms technologies trends tradecraft tips as a follow-up to my Data Protection Diaries series, as well as a companion to my new book Software Defined Data Infrastructure Essentials – Cloud, Converged, Virtual Server Storage I/O Fundamental tradecraft (CRC Press 2017).

Click here to view the previous post Part 9 – who’s Doing What ( Toolbox Technology Tools).

Software Defined Data Infrastructure Essentials Book SDDC

Post in the series includes excerpts from Software Defined Data Infrastructure (SDDI) pertaining to data protection for legacy along with software defined data centers ( SDDC), data infrastructures in general along with related topics. In addition to excerpts, the posts also contain links to articles, tips, posts, videos, webinars, events and other companion material. Note that figure numbers in this series are those from the SDDI book and not in the order that they appear in the posts.

In this post the focus is around Data Protection Resources Where to Learn More.

SDDC, SDI, SDDI data infrastructure
Figure 1.5 Data Infrastructures and other IT Infrastructure Layers

Software Defined Data Infrastructure Essentials Table of Contents (TOC)

Here is a link (PDF) to the table of contents (TOC) for Software Defined Data Infrastructure Essentials.

The following is a Software Defined Data Infrastructure Essentials book TOC summary:

Chapter 1: Server Storage I/O and Data Infrastructure Fundamentals
Chapter 2: Application and IT Environments
Chapter 3: Bits, Bytes, Blobs, and Software-Defined Building Blocks
Chapter 4: Servers: Physical, Virtual, Cloud, and Containers
Chapter 5: Server I/O and Networking
Chapter 6: Servers and Storage-Defined Networking
Chapter 7: Storage Mediums and Component Devices
Chapter 8: Data Infrastructure Services: Access and Performance
Chapter 9: Data Infrastructure Services: Availability, RAS, and RAID
Chapter 10: Data Infrastructure Services: Availability, Recovery-Point Objective, and Security
Chapter 11: Data Infrastructure Services: Capacity and Data Reduction
Chapter 12: Storage Systems and Solutions (Products and Cloud)
Chapter 13: Data Infrastructure and Software-Defined Management
Chapter 14: Data Infrastructure Deployment Considerations
Chapter 15: Software-Defined Data Infrastructure Futures, Wrap-up, and Summary
Appendix A: Learning Experiences
Appendix B: Additional Learning, Tools, and tradecraft Tricks
Appendix C: Frequently Asked Questions
Appendix D: Book Shelf and Recommended Reading
Appendix E: Tools and Technologies Used in Support of This Book
Appendix F: How to Use This Book for Various Audiences
Appendix G: Companion Website and Where to Learn More
Glossary
Index

Click here to view (PDF) table of contents (TOC).

Data Protection Resources Where To Learn More

Learn more about Data Infrastructure and Data Protection related technology, trends, tools, techniques, tradecraft and tips with the following links.

The following are the various posts that are part of this data protection series:

  • Part 1 – Data Infrastructure Data Protection Fundamentals
  • Part 2 – Reliability, Availability, Serviceability ( RAS) Data Protection Fundamentals
  • Part 3 – Data Protection Access Availability RAID Erasure Codes ( EC) including LRC
  • Part 4 – Data Protection Recovery Points (Archive, Backup, Snapshots, Versions)
  • Part 5 – Point In Time Data Protection Granularity Points of Interest
  • Part 6 – Data Protection Security Logical Physical Software Defined
  • Part 7 – Data Protection Tools, Technologies, Toolbox, Buzzword Bingo Trends
  • Part 8 – Data Protection Diaries Walking Data Protection Talk
  • Part 9 – who’s Doing What ( Toolbox Technology Tools)
  • Part 10 – Data Protection Resources Where to Learn More


    • The following are various data protection blog posts:

  • Welcome to the Data Protection Diaries
  • Until the focus expands to data protection, backup is staying alive!
  • The blame game, Does cloud storage result in data loss?
  • Loss of data access vs. data loss
  • Revisiting RAID storage remains relevant and resources
  • Only you can prevent cloud (or other) data loss
  • Data protection is a shared responsibility
  • Time for CDP (Commonsense Data Protection)?
  • Data Infrastructure Server Storage I/O Tradecraft Trends (skills, experiences, knowledge)
  • My copies were corrupted: The [4] 3-2-1 rule and more about 4 3 2 1 as well as 3 2 1 here and here

    • The following are various data protection tips and articles:

  • Via Infostor Cloud Storage Concerns, Considerations and Trends
  • Via Network World What’s a data infrastructure?
  • Via Infostor Data Protection Gaps, Some Good, Some Not So Good
  • Via Infostor Object Storage is in your future
  • Via Iron Mountain Preventing Unexpected Disasters
  • Via InfoStor – The Many Variations of RAID Storage
  • Via InfoStor – RAID Remains Relevant, Really!
  • Via WservNews Cloud Storage Considerations (Microsoft Azure)
  • Via ComputerWeekly Time to restore from backup: Do you know where your data is?
  • Via Network World Ensure your data infrastructure remains available and resilient

    • The following are various data protection related webinars and events:

  • BrightTalk Webinar Data Protection Modernization – Protect, Preserve and Serve you Information
  • BrightTalk Webinar BCDR and Cloud Backup Protect Preserve and Secure Your Data Infrastructure
  • TechAdvisor Webinar (Free with registration) All You Need To Know about ROBO data protection
  • TechAdvisor Webinar (Free with registration) Tips for Moving from Backup to Full Disaster Recovery

    • The following are various data protection tools, technologies, services, vendor and industry resource links:

  • Various Data Infrastructure related news commentary, events, tips and articles
  • Data Center and Data Infrastructure industry links (vendors, services, tools, technologies, hardware, software)
  • Data Infrastructure server storage I/O network Recommended Reading List Book Shelf
  • Software Defined Data Infrastructure Essentials (CRC 2017) Book

    • Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

    What This All Means

    Everything is not the same across environments, data centers, data infrastructures including SDDC, SDX and SDDI as well as applications along with their data.

    Likewise everything is and does not have to be the same when it comes to Data Protection.

    Since everything is not the same, various data protection approaches are needed to address various application performance, availability, capacity economic (PACE) needs, as well as SLO and SLAs.

    Data protection encompasses many different hardware, software, services including cloud technologies, tools, techniques, best practices, policies and tradecraft experience skills (e.g. knowing what to use when, where, why and how).

    Software Defined Data Infrastructure Essentials Book SDDC

    Context is important as different terms have various meanings depending on what they are being discussed with. Likewise different technologies and topics such as object, blob, backup, replication, RAID, erasure code (EC), mirroring, gaps (good, bad, ugly), snapshot, checkpoint, availability, durability among others have various meanings depending on context, as well as implementation approach.

    In most cases there is no bad technology or tool, granted there are some poor or bad (even ugly) implementations, as well as deployment or configuration decisions. What this means is the best technology or approach for your needs may be different from somebody else’s and vice versa.

    Some other points include there is no such thing as an information recession with more data generated every day, granted, how that data is transformed or stored can be in a smaller footprint. Likewise there is an increase in the size of data including unstructured big data, as well as the volume (how much data), as well as velocity (speed at which it is created, moved, processed, stored). This also means there is an increased dependency on data being available, accessible and intact with consistency. Thus the fundamental role of data Infrastructures (e.g. what’s inside the data center or cloud) is to combine resources, technologies, tools, techniques, best practices, policies, people skill set, experiences (e.g. tradecraft) to protect, preserve, secure and serve information (applications and data).

    modernizing data protection including backup, availability and related topics means more than swapping out one hardware, software, service or cloud for whatever is new, and then using it in old ways.

    What this means is to start using new (and old) things in new ways, for example move beyond using SSD or HDDs like tape as targets for backup or other data protection approaches. Instead use SSD, HDDs or cloud as a tier, yet also to enable faster protection and recovery by stepping back and rethinking what to protect, when, where, why, how and apply applicable techniques, tools and technologies. Find a balance between knowing all about the tools and trends while not understanding how to use those toolbox items, as well as knowing all about the techniques of how to use the tools, yet not knowing what the tools are.

    Want to learn more, have questions about specific tools, technologies, trends, vendors, products, services or techniques discussed in this series, send a note (info at storageio dot com) or via our contact page. We can set up a time to discuss your questions or needs pertaining to Data Protection as well as data infrastructures related topics from legacy to software defined virtual, cloud, container among others. For example consulting, advisory services, architecture strategy design, technology selection and acquisition coaching, education knowledge transfer sessions, seminars, webinars, special projects, test drive lab reviews or audits, content generation, videos, podcasts, custom content, chapter excerpts, demand generation among many other things.

    Get your copy of Software Defined Data Infrastructure Essentials here at Amazon.com, at CRC Press among other locations and learn more here.

    Ok, nuff said, for now.

    Gs

    Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

    All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.