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VMware continues cloud construction with March announcements

VMware continues cloud construction with March announcements

VMware continues cloud construction sddc

VMware continues cloud construction with March announcements of new features and other enhancements.

VMware continues cloud construction SDDC data infrastructure strategy big picture
VMware Cloud Provides Consistent Operations and Infrastructure Via: VMware.com

With its recent announcements, VMware continues cloud construction adding new features, enhancements, partnerships along with services.

VMware continues cloud construction, like other vendors and service providers who tried and test the waters of having their own public cloud, VMware has moved beyond its vCloud Air initiative selling that to OVH. VMware which while being a public traded company (VMW) is by way of majority ownership part of the Dell Technologies family of company via the 2016 acquisition of EMC by Dell. What this means is that like Dell Technologies, VMware is focused on providing solutions and services to its cloud provider partners instead of building, deploying and running its own cloud in competition with partners.

VMware continues cloud construction SDDC data infrastructure strategy layers
VMware Cloud Data Infrastructure and SDDC layers Via: VMware.com

The VMware Cloud message and strategy is focused around providing software solutions to cloud and other data infrastructure partners (and customers) instead of competing with them (e.g. divesting of vCloud Air, partnering with AWS, IBM Softlayer). Part of the VMware cloud message and strategy is to provide consistent operations and management across clouds, containers, virtual machines (VM) as well as other software defined data center (SDDC) and software defined data infrastructures.

In other words, what this means is VMware providing consistent management to leverage common experiences of data infrastructure staff along with resources in a hybrid, cross cloud and software defined environment in support of existing as well as cloud native applications.

VMware continues cloud construction on AWS SDDC

VMware Cloud on AWS Image via: AWS.com

Note that VMware Cloud services run on top of AWS EC2 bare metal (BM) server instances, as well as on BM instances at IBM softlayer as well as OVH. Learn more about AWS EC2 BM compute instances aka Metal as a Service (MaaS) here. In addition to AWS, IBM and OVH, VMware claims over 4,000 regional cloud and managed service providers who have built their data infrastructures out using VMware based technologies.

VMware continues cloud construction updates

Building off of previous announcements, VMware continues cloud construction with enhancements to their Amazon Web Services (AWS) partnership along with services for IBM Softlayer cloud as well as OVH. As a refresher, OVH is what formerly was known as VMware vCloud air before it was sold off.

Besides expanding on existing cloud partner solution offerings, VMware also announced additional cloud, software defined data center (SDDC) and other software defined data infrastructure environment management capabilities. SDDC and Data infrastructure management tools include leveraging VMwares acquisition of Wavefront among others.

VMware Cloud Updates and New Features

  • VMware Cloud on AWS European regions (now in London, adding Frankfurt German)
  • Stretch Clusters with synchronous replication for cross geography location resiliency
  • Support for data intensive workloads including data footprint reduction (DFR) with vSAN based compression and data de duplication
  • Fujitsu services offering relationships
  • Expanded VMware Cloud Services enhancements

VMware Cloud Services enhancements include:

  • Hybrid Cloud Extension
  • Log intelligence
  • Cost insight
  • Wavefront

VMware Cloud in additional AWS Regions

As part of service expansion, VMware Cloud on AWS has been extended into European region (London) with plans to expand into Frankfurt and an Asian Pacific location. Previously VMware Cloud on AWS has been available in US West Oregon and US East Northern Virginia regions. Learn more about AWS Regions and availability zones (AZ) here.

VMware Cloud Stretch Cluster

VMware Cloud on AWS Stretch Clusters Source: VMware.com

VMware Cloud on AWS Stretch Clusters

In addition to expanding into additional regions, VMware Cloud on AWS is also being extended with stretch clusters for geography dispersed protection. Stretched clusters provide protection against an AZ failure (e.g. data center site) for mission critical applications. Build on vSphere HA and DRS  automated host failure technology, stretched clusters provide recovery point objective zero (RPO 0) for continuous protection, high availability across AZs at the data infrastructure layer.

The benefit of data infrastructure layer based HA and resiliency is not having to re architect or modify upper level, higher up layered applications or software. Synchronous replication between AZs enables RPO 0, if one AZ goes down, it is treated as a vSphere HA event with VMs restarted in another AZ.

vSAN based Data Footprint Reduction (DFR) aka Compression and De duplication

To support applications that leverage large amounts of data, aka data intensive applications in marketing speak, VMware is leveraging vSAN based data footprint reduction (DFR) techniques including compression as well as de duplication (dedupe). Leveraging DFR technologies like compression and dedupe integrated into vSAN, VMware Clouds have the ability to store more data in a given cubic density. Storing more data in a given cubic density storage efficiency (e.g. space saving utilization) as well as with performance acceleration, also facilitate storage effectiveness along with productivity.

With VMware vSAN technology as one of the core underlying technologies for enabling VMware Cloud on AWS (among other deployments), applications with large data needs can store more data at a lower cost point. Note that VMware Cloud can support 10 clusters per SDDC deployment, with each cluster having 32 nodes, with cluster wide and aware dedupe. Also note that for performance, VMware Cloud on AWS leverages NVMe attached Solid State Devices (SSD) to boost effectiveness and productivity.

VMware Hybrid Cloud Extension

Extending VMware vSphere any to any migration across clouds Source: VMware.com

VMware Hybrid Cloud Extension

VMware Hybrid Cloud Extension enables common management of common underlying data infrastructure as well as software defined environments including across public, private as well as hybrid clouds. Some of the capabilities include enabling warm VM migration across various software defined environments from local on-premises and private cloud to public clouds.

New enhancements leverages previously available technology now as a service for enterprises besides service providers to support data center to data center, or cloud centric AZ to AZ, as well as region to region migrations. Some of the use cases include small to large bulk migrations of hundreds to thousands of VM move and migrations, both scheduling as well as the actual move. Move and migrations can span hybrid deployments with mix of on-premises as well as various cloud services.

VMware Cloud Cost Insight

VMware Cost Insight enables analysis, compare cloud costs across public AWS, Azure and private VMware clouds) to avoid flying blind in and among clouds. VMware Cloud cost insight enables awareness of how resources are used, their cost and benefit to applications as well as IT budget impacts. Integrates vSAN sizer tool along with AWS metrics for improved situational awareness, cost modeling, analysis and what if comparisons.

With integration to Network insight, VMware Cloud Cost Insight also provides awareness into networking costs in support of migrations. What this means is that using VMware Cloud Cost insight you can take the guess-work out of what your expenses will be for public, private on-premisess or hybrid cloud will be having deeper insight awareness into your SDDC environment. Learn more about VVMware Cost Insight here.

VMware Log Intelligence

Log Intelligence is a new VMware cloud service that provides real-time data infrastructure insight along with application visibility from private, on-premises, to public along with hybrid clouds. As its name implies, Log Intelligence provides syslog and other log insight, analysis and intelligence with real-time visibility into VMware as well as AWS among other resources for faster troubleshooting, diagnostics, event correlation and other data infrastructure management tasks.

Log and telemetry input sources for VMware Log Intelligence include data infrastructure resources such as operating systems, servers, system statistics, security, applications among other syslog events. For those familiar with VMware Log Insight, this capability is an extension of that known experience expanding it to be a cloud based service.

VMware Wavefront SaaS analytics
Wavefront by VMware Source: VMware.com

VMware Wavefront

VMware Wavefront enables monitoring of cloud native high scale environments with custom metrics and analytics. As a reminder Wavefront was acquired by VMware to enable deep metrics and analytics for developers, DevOps, data infrastructure operations as well as SaaS application developers among others. Wavefront integrates with VMware vRealize along with enabling monitoring of AWS data infrastructure resources and services. With the ability to ingest, process, analyze various data feeds, the Wavefront engine enables the predictive understanding of mixed application, cloud native data and data infrastructure platforms including big data based.

Where to learn more

Learn more about VMware, vSphere, vRealize, VMware Cloud, AWS (and other clouds), along with data protection, software defined data center (SDDC), software defined data infrastructures (SDDI) and related topics via the following links:

SDDC Data Infrastructure

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 and wrap-up

VMware continues cloud construction. For now, it appears that VMware like Dell Technologies is content on being a technology provider partner to large as well as small public, private and hybrid cloud environments instead of building their own and competing. With these series of announcements, VMware continues cloud construction enabling its partners and customers on their various software defined data center (SDDC) and related data infrastructure journeys. Overall, this is a good set of enhancements, updates, new and evolving features for their partners as well as customers who leverage VMware based technologies. Meanwhile VMware continues cloud construction.

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.

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Benefits of Moving Hyper-V Disaster Recovery to the Cloud Webinar

Benefits of Moving Hyper-V Disaster Recovery to the Cloud Webinar

Hyper-V Disaster Recovery sddc server storage I/O data infrastructure trends

Benefits of Moving Hyper-V Disaster Recovery to the Cloud and Achieve global cloud data availability from an Always-On approach with Veeam Cloud Connect webinar.

Feb. 28, 2018 at 11am PT / 2pm ET

Windows Server and Hyper-V software defined data center (SDDC) based applications need always on availability and access to data which means enabling cloud based data protection (including backup/recovery) for seamless disaster recovery (DR), business continuance (BC), business resiliency (BR) and high availability (HA). Key to an always on, available and accessible environment is having robust  RTO and RPO aligned to your application workload needs. In other words, time for data protection to work for you and your applications instead of you working for it (e.g. the data protection tools and technologies).

This free data protection webinar (registration required) sponsored by KeepItSafe produced by Virtualization & Cloud Review will be an interactive webinar discussion (not death by power point or Ui Gui product demo ;)) pertaining to enabling always on application (as well as data) availability for Windows Server and Hyper-V environments. Keep in mind with world backup day coming up on March 31 now is a good time to make sure your applications and data are protected as well as recoverable when something bad happens leveraging Hyper-V Disaster Recovery.

Hyper-V Disaster Recovery SDDC Data Infrastructure Data Protection

Join me along with representatives from Veeam and KeepItSafe for an informal conversation including strategies along with how to enable an always on, always available applications data infrastructure for Hyper-V based solutions.

Our conversation will include discussion around:

  • Data protection strategies for Microsoft Windows Server Hyper-V applications
  • Enabling rapid recovery time objectives (RTO) and good recovery point objectives (RPO)
  • Evolving from VM disaster recovery to cloud-based DRaaS
  • Implement 4 3 2 1 data protection availability for Hyper-V with Veeam and KeepItSafe DRaaS

Register for the live event or catch the replay here.

Where to learn more

Learn more about data protection, software defined data center (SDDC), software defined data infrastructures (SDDI), Hyper-V, cloud and related topics via the following links:

SDDC Data Infrastructure

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 and wrap-up

You can not go forward if you can not go back to a particular point in time (e.g. recovery point objective or RPO). Likewise, if you can not go back to a given RPO, how can you go forward with your business as well as meet your recovery time objective (RTO)? Join us for the live conversation or replay by registering (free) here to learn how to enable robust Hyper-V Disaster Recovery and business resiliency.

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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    Like Data They Protect For Now Quantum Revenues Continue To Grow

    For Now Quantum Revenues Continue To Grow

    server storage I/O data infrastructure trends

    For Now Quantum Revenues Continue To Grow. The other day following their formal announced, I received an summary update from Quantum pertaining to their recent Q1 Results (show later below).

    Data Infrastructures Protect Preserve Secure and Serve Information
    Various IT and Cloud Infrastructure Layers including Data Infrastructures

    Quantums Revenues Continue To Grow Like Data

    One of the certainties in life is change and the other is continued growth in data that gets transformed into information via IT and other applications. Data Infrastructures fundamental role is to enable an environment for applications and data to be transformed into information and delivered as services. In other words, Data Infrastructures exist to protect, preserve, secure and serve information along with the applications and data they depend on. Quantums role is to provide solutions and technologies for enabling legacy and cloud or other software defined data infrastructures to protect, preserve, secure and serve data.

    What caught my eye in Quantums announcements was that while not earth shattering growth numbers normally associated with a hot startup, being a legacy data infrasture and storage vendor, Quantum’s numbers are hanging in there.

    At a time when some legacy as well as startups struggle with increased competition from others including cloud, Quantum appears for at least now to be hanging in there with some gains.

    The other thing that caught my eye is that most of the growth not surprisingly is non tape related solutions, particular around their bulk scale out StorNext storage solutions, there is some growth in tape.

    Here is the excerpt of what Quantum sent out:

    
Highlights for the quarter (all comparisons are to the same period a year ago):

•	Grew total revenue and generated profit for 5th consecutive quarter
•	Total revenue was up slightly to $117M, with 3% increase in branded revenue
•	Generated operating profit of $1M with earnings per share of 4 cents, up 2 cents
•	Grew scale-out tiered storage revenue 10% to $34M, with strong growth in video surveillance and technical workflows
o	Key surveillance wins included deals with an Asian government for surveillance at a presidential palace and other government facilities, with a major U.S. port and with four new police department customers
o	Established several new surveillance partnerships – one of top three resellers/integrators in China (Uniview) and two major U.S. integrators (Protection 1 and Kratos)
o	Won two surveillance awards for StorNext – Security Industry Association’s New Product Showcase award and Security Today magazine’s Platinum Govies Government Security award
o	Key technical workflow wins included deals at an international defense and aerospace company to expand StorNext archive environment, a leading biotechnology firm for 1 PB genomic sequencing archive, a top automaker involving autonomous driving research data and a U.S. technology institute involving high performance computing  
o	Announced StorNext 6, which adds new advanced data management features to StorNext’s industry-leading performance and is now shipping
o	Announced scale-out partnerships with Veritone on artificial intelligence and DataFrameworks on data visualization and management  
•	Tape automation, devices and media revenue increased 6% overall while branded revenue for this product category was up 14%
o	Strong sales of newest generation Scalar i3 and i6 tape libraries
•	Established new/enhanced data protection partnerships
o	Enhanced partnership with Veeam, making it easier for their customers to deploy 3-2-1 data protection best practices
o	Became Pure Storage alliance partner, providing our data protection and archive solutions for their customers through mutual channel partners

    Where To Learn More

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

    What This All Means

    Keep in mind that Data Infrastructures fundamental role is to enable an environment for applications and data to be transformed into information and delivered as services. Data Infrastructures exist to protect, preserve, secure and serve information along with the applications and data they depend on. Quantum continues to evolve their business as they have for several years from one focused on tape and related technologies to one that includes tape as well as many other solutions for legacy as well as software defined, cloud and virtual environments. For now, quantum revenues continue to grow and diversify.

    Ok, nuff said, for now.
    Gs

    Greg Schulz – Multi-year Microsoft MVP Cloud and Data Center Management, VMware vExpert (and vSAN). 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 2006-2023 Server StorageIO(R) and UnlimitedIO. All Rights Reserved.

    Posted on

    VMware vSAN 6.6 hyper-converged (HCI) software defined data infrastructure

    server storage I/O trends

    VMware vSAN 6.6 hyper-converged (HCI) software defined data infrastructure

    In case you missed it, VMware announced vSAN v6.6 hyper-converged infrastructure (HCI) software defined data infrastructure solution. This is the first of a five-part series about VMware vSAN V6.6. Part II (just the speeds feeds please) is located here, part III (reducing cost and complexity) located here, part IV (scaling ROBO and data centers today) found here, as well as part V here (VMware vSAN evolution, where to learn more and summary).

    VMware vSAN 6.6
    Image via VMware

    For those who are not aware, vSAN is a VMware virtual Storage Area Network (e.g. vSAN) that is software-defined, part of being a software-defined data infrastructure (SDDI) and software-defined data center (SDDC). Besides being software-defined vSAN is HCI combining compute (server), I/O networking, storage (space and I/O) along with hypervisors, management, and other tools.

    Software-defined data infrastructure

    Excuse Me, What is vSAN and who is if for

    Some might find it odd having to explain what vSAN is, on the other hand, not everybody is dialed into the VMware world ecosystem, so let’s give them some help, for everybody else, and feel free to jump ahead.

    For those not familiar, VMware vSAN is an HCI software-defined storage solution that converges compute (hypervisors and server) with storage space capacity and I/O performance along with networking. Being HCI means that with vSAN as you scale compute, storage space capacity and I/O performance also increases in an aggregated fashion. Likewise, increase storage space capacity and server I/O performance you also get more compute capabilities (along with memory).

    For VMware-centric environments looking to go CI or HCI, vSAN offers compelling value proposition leveraging known VMware tools and staff skills (knowledge, experience, tradecraft). Another benefit of vSAN is the ability to select your hardware platform from different vendors, a trend that other CI/HCI vendors have started to offer as well.

    CI and HCI data infrastructure

    Keep in mind that fast applications need a fast server, I/O and storage, as well as server storage I/O needs CPU along with memory to generate I/O operations (IOPs) or move data. What this all means is that HCI solutions such as VMware vSAN combine or converge the server compute, hypervisors, storage file system, storage devices, I/O and networking along with other functionality into an easy to deploy (and management) turnkey solution.

    Learn more about CI and HCI along with who some other vendors are as well as considerations at www.storageio.com/converge. Also, visit VMware sites to find out more about vSphere ESXi hypervisors, vSAN, NSX (Software Defined Networking), vCenter, vRealize along with other tools for enabling SDDC and SDDI.

    Give Me the Quick Elevator Pitch Summary

    VMware has enhanced vSAN with version 6.6 (V6.6) enabling new functionality, supporting new hardware platforms along with partners, while reducing costs, improving scalability and resiliency for SDDC and SDDI environments. This includes from small medium business (SMB) to mid-market to small medium enterprise (SME) as well as workgroup, departmental along with Remote Office Branch Office (ROBO).

    Being a HCI solution, management functions of the server, storage, I/O, networking, hypervisor, hardware, and software are converged to improve management productivity. Also, vSAN integrated with VMware vSphere among other tools enable modern, robust data infrastructure that serves, protect, preserve, secure and stores data along with their associated applications.

    Where to Learn More

    The following are additional resources to learn more about vSAN and related technologies.

    What this all means

    Overall a good set of enhancements as vSAN continues its evolution looking back just a few years ago, to where it is today and will be in the future. If you have not looked at vSAN recently, take some time beyond reading this piece to learn some more.

    Continue reading more about VMware vSAN 6.6 in part II (just the speeds feeds please) is located here, part III (reducing cost and complexity) located here, part IV (scaling ROBO and data centers today) located here, as well as part V here (VMware vSAN evolution, where to learn more and summary).

    Ok, nuff said (for now…).

    Cheers
    Gs

    Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert (and vSAN). Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Watch for the spring 2017 release of his new book “Software-Defined Data Infrastructure Essentials” (CRC Press).

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