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)
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).
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
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.
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.
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.
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)
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).
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.
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.
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.
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.
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).
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.
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.
Data Protection Toolbox
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.
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.
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.
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.
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)
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).
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.
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.
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.
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.
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)
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).
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).
Figure 1.5 Data Infrastructures and other IT Infrastructure Layers
who’s Doing What (Toolbox Technology Tools)
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.
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.
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)
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).
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.
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 ShelfSoftware Defined Data Infrastructure Essentials (CRC 2017) BookAdditional 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).
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.
Microsoft Azure September 2017 Software Defined Data Infrastructure Updates
Microsoft and Azure September 2017 Software Defined Data infrastructure Updates
September was a busy month for data infrastructure topics as well as Microsoft in terms of new and enhanced technologies. Wrapping up September was Microsoft Ignite where Azure, Azure Stack, Windows, O365, AI, IoT, development tools announcements occurred, along with others from earlier in the month. As part of the September announcements, Microsoft released a new version of Windows server (e.g. 1709) that has a focus for enhanced container support. Note that if you have deployed Storage Spaces Direct (S2D) and are looking to upgrade to 1709, do your homework as there are some caveats that will cause you to wait for the next release. Note that there had been new storage related enhancements slated for the September update, however those were announced at Ignite to being pushed to the next semi-annual release. Learn more here and also here.
Azure Files and NFS
Microsoft made several Azure file storage related announcements and public previews during September including Native NFS based file sharing as companion to existing Azure Files, along with public preview of new Azure File Sync Service. Native NFS based file sharing (public preview announced, service is slated to be available in 2018) is a software defined storage deployment of NetApp OnTAP running on top of Azure data infrastructure including virtual machines and leverage Azure underlying storage.
Note that the new native NFS is in addition to the earlier native Azure Files accessed via HTTP REST and SMB3 enabling sharing of files inside Azure public cloud, as well as accessible externally from Windows based and Linux platforms including on premises. Learn more about Azure Storage and Azure Files here.
Azure File Sync (AFS)
Azure File Sync (AFS) has now entered public preview. While users of Windows-based systems have been able to access and share Azure Files in the past, AFS is something different. I have used AFS for some time now during several private preview iterations having seen how it has evolved, along with how Microsoft listens incorporating feedback into the solution.
Lets take a look at what is AFS, what it does, how it works, where and when to use it among other considerations. With AFS, different and independent systems can now synchronize file shares through Azure. Currently in the AFS preview Windows Server 2012 and 2016 are supported including bare metal, virtual, and cloud based. For example I have had bare metal, virtual (VMware), cloud (Azure and AWS) as part of participating in a file sync activities using AFS.
Not to be confused with some other storage related AFS including Andrew File System among others, the new Microsoft Azure File Sync service enables files to be synchronized across different servers via Azure. This is different then the previous available Azure File Share service that enables files stored in Azure cloud storage to be accessed via Windows and Linux systems within Azure, as well as natively by Windows platforms outside of Azure. Likewise this is different from the recently announced Microsoft Azure native NFS file sharing serving service in partnership with NetApp (e.g. powered by OnTAP cloud).
AFS can be used to synchronize across different on premise as well as cloud servers that can also function as cache. What this means is that for Windows work folders served via different on premise servers, those files can be synchronized across Azure to other locations. Besides providing a cache, cloud tiering and enterprise file sync share (EFSS) capabilities, AFS also has robust optimization for data movement to and from the cloud and across sites, along with management tools. Management tools including diagnostics, performance and activity monitoring among others.
Check out the AFS preview including planning for an Azure File Sync (preview) deployment (Docs Microsoft), and for those who have Yammer accounts, here is the AFS preview group link.
Azure Blob Storage Tiering and Event Triggers
Two other Azure storage features that are in public preview include blob tiering (for cold archiving) and event triggers for events. As their names imply, blob tiering enables automatic migration from active to cold inactive storage of dormant date. Event triggers are policies rules (code) that get executed when a blob is stored to do various functions or tasks. Here is an overview of blob events and a quick start from Microsoft here.
Keep in mind that not all blob and object storage are the same, a good example is Microsoft Azure that has page, block and append blobs. Append blobs are similar to what you might be familiar with other services objects. Here is a Microsoft overview of various Azure blobs including what to use when.
Project Honolulu and Windows Server Enhancements
Microsoft has evolved from command prompt (e.g. early MSDOS) to GUI with Windows to command line extending into PowerShell that left some thinking there is no longer need for GUI. Even though Microsoft has extended its CLI with PowerShell spanning WIndows platforms and Azure, along with adding Linux command shell, there are those who still want or need a GUI. Project Honolulu is the effort to bring GUI based management back to Windows in a simplified way for what had been headless, and desktop less deployments (e.g. Nano, Server Core). Microsoft had Server Management Tools (SMT) accessible via the Azure Portal which has been discontinued.
Project Honolulu Image via Microsoft.com
This is where project Honolulu comes into play for managing Windows Server platforms. What this means is that for those who dont want to rely on or have a PowerShell dependency have an alternative option. Learn more about Project Honolulu here and here, including download the public preview here.
Storage Spaces Direct (S2D) Kepler Appliance
Data Infrastructure provider DataOn has announced a new turnkey Windows Server 2016 Storage Spaces Direct (S2D) powered Hyper-Converged Infrastructure (e.g. productization of project Kepler-47) solution with two node small form factor servers (partner with MSI). How small? Think suitcase or airplane roller board carry on luggage size.
What this means is that you can get into the converged, hyper-converged software defined storage game with Windows-based servers supporting Hyper-V virtual machines (Windows and Linux) including hardware for around $10,000 USD (varies by configuration and other options).
Azure and Microsoft Networking News
Speaking of Microsoft Azure public cloud, ever wonder what the network that enables the service looks like and some of the software defined networking (SDN) along with network virtualization function (NFV) objectives are, have a look at this piece from over at Data Center Knowledge.
In related Windows, Azure and other focus areas, Microsoft, Facebook and Telxius have completed the installation of a high-capacity subsea cable (network) to cross the atlantic ocean. Whats so interesting from a data infrastructure, cloud or legacy server storage I/O and data center focus perspective? The new network was built by the combined companies vs. in the past by a Telco provider consortium with the subsequent bandwidth sold or leased to others.
This new network is also 4,000 miles long including in depths of 11,000 feet, supports with current optics 160 terabits (e.g. 20 TeraBytes) per second capable of supporting 71 million HD videos streamed simultaneous. To put things into perspective, some residential Fiber Optic services can operate best case up to 1 gigabit per second (line speed) and in an asymmetrical fashion (faster download than uploads). Granted there are some 10 Gbit based services out there more common with commercial than residential. Simply put, there is a large amount of bandwidth increased across the atlantic for Microsoft and Facebook to support growing demands.
Where To Learn More
Learn more about related technology, trends, tools, techniques, and tips with the following links.
What This All Means
Microsoft announced a new release of Windows Server at Ignite as part of its new semi-annual release cycle. This latest version of Windows server is optimized for containers. In addition to Windows server enhancements, Microsoft continues to extend Azure and related technologies for public, private and hybrid cloud as well as software defined data infrastructures.
By the way, if you have not heard, its Blogtober, check out some of the other blogs and posts occurring during October here.
Ok, nuff said, for now.
Gs
Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (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.
NVMe Wont Replace Flash By Itself They Complement Each Other
Updated 2/2/2018
NVMe Wont Replace Flash By Itself They Complement Each Other
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Various Solid State Devices (SSD) including NVMe, SAS, SATA, USB, M.2
There has been some recent industry marketing buzz generated by a startup to get some attention by claiming via a study sponsored by including the startup that Non-Volatile Memory (NVM) Express (NVMe) will replace flash storage. Granted, many IT customers as well as vendors are still confused by NVMe thinking it is a storage medium as opposed to an interface used for accessing fast storage devices such as nand flash among other solid state devices (SSDs). Part of that confusion can be tied to common SSD based devices rely on NVM that are persistent memory retaining data when powered off (unlike the memory in your computer).
Instead of saying NVMe will mean the demise of flash, what should or could be said however some might be scared to say it is that other interfaces and protocols such as SAS (Serial Attached SCSI), AHCI/SATA, mSATA, Fibre Channel SCSI Protocol aka FCP aka simply Fibre Channel (FC), iSCSI and others are what can be replaced by NVMe. NVMe is simply the path or roadway along with traffic rules for getting from point a (such as a server) to point b (some storage device or medium e.g. flash SSD). The storage medium is where data is stored such as magnetic for Hard Disk Drive (HDD) or tape, nand flash, 3D XPoint, Optane among others.
NVMe and NVM including flash are better together
The simple quick get to the point is that NVMe (e.g. Non Volatile Memory aka NVM Express [NVMe]) is an interface protocol (like SAS/SATA/iSCSI among others) used for communicating with various nonvolatile memory (NVM) and solid state device (SSDs). NVMe is how data gets moved between a computer or other system and the NVM persistent memory such as nand flash, 3D XPoint, Spintorque or other storage class memories (SCM).
In other words, the only thing NVMe will, should, might or could kill off would be the use of some other interface such as SAS, SATA/AHCI, Fibre Channel, iSCSI along with propritary driver or protocols. On the other hand, given the extensibility of NVMe and how it can be used in different configurations including as part of fabrics, it is an enabler for various NVMs also known as persistent memories, SCMs, SSDs including those based on NAND flash as well as emerging 3D XPoint (or Intel version) among others.
Where To Learn More
View additional NVMe, SSD, NVM, SCM, Data Infrastructure and related topics via the following links.
- Use Intel Optane NVMe U.2 SFF 8639 SSD drive in PCIe slot
- NVMe overview and primer – Part I
- Part II – NVMe overview and primer (Different Configurations)
- Part III – NVMe overview and primer (Need for Performance Speed)
- Part IV – NVMe overview and primer (Where and How to use NVMe)
- Part V – NVMe overview and primer (Where to learn more, what this all means)
- PCIe Server I/O Fundamentals
- If NVMe is the answer, what are the questions?
- NVMe Wont Replace Flash By Itself
- Via Computerweekly – NVMe discussion: PCIe card vs U.2 and M.2
- Intel and Micron unveil new 3D XPoint Non Volatie Memory (NVM) for servers and storage
- Part II – Intel and Micron new 3D XPoint server and storage NVM
- Part III – 3D XPoint new server storage memory from Intel and Micron
- Server storage I/O benchmark tools, workload scripts and examples (Part I) and (Part II)
- Data Infrastructure Overview, Its Whats Inside of Data Centers
- Software Defined, Converged Infrastructure (CI), Hyper-Converged Infrastructure (HCI) resources
- The SSD Place (SSD, NVM, PM, SCM, Flash, NVMe, 3D XPoint, MRAM and related topics)
- The NVMe Place (NVMe related topics, trends, tools, technologies, tip resources)
- Data Protection Diaries (Archive, Backup/Restore, BC, BR, DR, HA, RAID/EC/LRC, Replication, Security)
- Software Defined Data Infrastructure Essentials (CRC Press 2017) including SDDC, Cloud, Container and more
- Various Data Infrastructure related events, webinars and other activities
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
Context matters for example, NVM as the medium compared to NVMe as the interface and access protocols. With context in mind you can compare like or similar apples to apples such as nand flash, MRAM, NVRAM, 3D XPoint, Optane among other persistent memories also known as storage class memories, NVMs and SSDs. Likewise with context in mind NVMe can be compared to other interfaces and protocols such as SAS, SATA, PCIe, mSATA, Fibre Channel among others. The following puts all of this into context including various packaging options, interfaces and access protocols, functionality and media.
Putting IT all together
Will NVMe kill off flash? IMHO no not by itself, however NVMe combined with some other form of NVM, SCM, persistent memory as a storage medium may eventually combine as an alternative to NVMe and flash (or SAS/SATA and flash). However, for now at least for many applications, NVMe is in your future (along with flash among other storage mediums), the questions include when, where, why, how, with what among other questions (and answers). NVMe wont replace flash by itself (at least yet) as they complement each other.
Keep in mind, if NVMe is the answer, what are the questions.
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.
Who Will Be At Top Of Storage World Next Decade?
Data Storage regardless of if hardware, legacy, new, emerging, cloud service or various software defined storage (SDS) approaches are all fundamental resource components of data infrastructures along with compute server, I/O networking as well as management tools, techniques, processes and procedures.
Fundamental Data Infrastructure resources
Data infrastructures include legacy along with software defined data infrastructures (SDDI), along with software defined data centers (SDDC), cloud and other environments to support expanding workloads more efficiently as well as effectively (e.g. boosting productivity).
Data Infrastructure and other IT Layers (stacks and altitude levels)
Various data infrastructures resource components spanning server, storage, I/O networks, tools along with hardware, software, services get defined as well as composed into solutions or services which may in turn be further aggregated into more extensive higher altitude offerings (e.g. further up the stack).
Various IT and Data Infrastructure Stack Layers (Altitude Levels)
Focus on Data Storage Present and Future Predictions
Drew Robb (@Robbdrew) has a good piece over at Enterprise Storage Forum looking at the past, present and future of who will rule the data storage world that includes several perspective predictions comments from myself as well as others. Some of the perspectives and predictions by others are more generic and technology trend and buzzword bingo focus which should not be a surprise. For example including the usual performance, Cloud and Object Storage, DPDK, RDMA/RoCE, Software-Defined, NVM/Flash/SSD, CI/HCI, NVMe among others.
Here are some excerpts from Drews piece along with my perspective and prediction comments of who may rule the data storage roost in a decade:
Amazon Web Services (AWS) – AWS includes cloud and object storage in the form of S3. However, there is more to storage than object and S3 with AWS also having Elastic File Services (EFS), Elastic Block Storage (EBS), database, message queue and on-instance storage, among others. for traditional, emerging and storage for the Internet of Things (IoT).
It is difficult to think of AWS not being a major player in a decade unless they totally screw up their execution in the future. Granted, some of their competitors might be working overtime putting pins and needles into Voodoo Dolls (perhaps bought via Amazon.com) while wishing for the demise of Amazon Web Services, just saying.
Voodoo Dolls and image via Amazon.com
Of course, Amazon and AWS could follow the likes of Sears (e.g. some may remember their catalog) and ignore the future ending up on the where are they now list. While talking about Amazon and AWS, one will have to wonder where Wall Mart will end up in a decade with or without a cloud of their own?
Microsoft – With Windows, Hyper-V and Azure (including Azure Stack), if there is any company in the industry outside of AWS or VMware that has quietly expanded its reach and positioning into storage, it is Microsoft, said Schulz.
Microsoft IMHO has many offerings and capabilities across different dimensions as well as playing fields. There is the installed base of Windows Servers (and desktops) that have the ability to leverage Software Defined Storage including Storage Spaces Direct (S2D), ReFS, cache and tiering among other features. In some ways I’m surprised by the number of people in the industry who are not aware of Microsoft’s capabilities from S2D and the ability to configure CI as well as HCI (Hyper Converged Infrastructure) deployments, or of Hyper-V abilities, Azure Stack to Azure among others. On the other hand, I run into Microsoft people who are not aware of the full portfolio offerings or are just focused on Azure. Needless to say, there is a lot in the Microsoft storage related portfolio as well as bigger broader data infrastructure offerings.
NetApp – Schulz thinks NetApp has the staying power to stay among the leading lights of data storage. Assuming it remains as a freestanding company and does not get acquired, he said, NetApp has the potential of expanding its portfolio with some new acquisitions. “NetApp can continue their transformation from a company with a strong focus on selling one or two products to learning how to sell the complete portfolio with diversity,” said Schulz.
NetApp has been around and survived up to now including via various acquisitions, some of which have had mixed results vs. others. However assuming NetApp can continue to reinvent themselves, focusing on selling the entire solution portfolio vs. focus on specific products, along with good execution and some more acquisitions, they have the potential for being a top player through the next decade.
Dell EMC – Dell EMC is another stalwart Schulz thinks will manage to stay on top. “Given their size and focus, Dell EMC should continue to grow, assuming execution goes well,” he said.
There are some who I hear are or have predicted the demise of Dell EMC, granted some of those predicted the demise of Dell and or EMC years ago as well. Top companies can and have faded away over time, and while it is possible Dell EMC could be added to the where are they now list in the future, my bet is that at least while Michael Dell is still involved, they will be a top player through the next decade, unless they mess up on execution.
Various Data Infrastructures and Resources involving Data Storage
Huawei – Huawei is one of the emerging giants from China that are steadily gobbling up market share. It is now a top provider in many categories of storage, and its rapid ascendancy is unlikely to stop anytime soon. “Keep an eye on Huawei, particularly outside of the U.S. where they are starting to hit their stride,” said Schulz.
In the US, you have to look or pay attention to see or hear what Huawei is doing involving data storage, however that is different in other parts of the world. For example, I see and hear more about them in Europe than in the US. Will Huawei do more in the US in the future? Good question, keep an eye on them.
VMware – A decade ago, Storage Networking World (SNW) was by far the biggest event in data storage. Everyone who was anyone attended this twice yearly event. And then suddenly, it lost its luster. A new forum known as VMworld had emerged and took precedence. That was just one of the indicators of the disruption caused by VMware. And Schulz expects the company to continue to be a major force in storage. “VMware will remain a dominant player, expanding its role with software-defined storage,” said Schulz.
VMware has a dominant role in data storage not just because of the relationship with Dell EMC, or because of VSAN which continues to gain in popularity, or the soon to be released VMware on AWS solution options among others. Sure all of those matters, however, keep in mind that VMware solutions also tie into and work with other legacies as well as software-defined storage solution, services as well as tools spanning block, file, object for virtual machines as well as containers.
"Someday soon, people are going to wake up like they did with VMware and AWS," said Schulz. "That’s when they will be asking ‘When did Microsoft get into storage like this in such a big way.’"
What the above means is that some environments may not be paying attention to what AWS, Microsoft, VMware among others are doing, perhaps discounting them as the old or existing while focusing on new, emerging what ever is trendy in the news this week. On the other hand, some environments may see the solution offerings from those mentioned as not relevant to their specific needs, or capable of scaling to their requirements.
Keep in mind that it was not that long ago, just a few years that VMware entered the market with what by today’s standard (e.g. VSAN and others) was a relatively small virtual storage appliance offering, not to mention many people discounted and ignored VMware as a practical storage solution provider. Things and technology change, not to mention there are different needs and solution requirements for various environments. While a solution may not be applicable today, give it some time, keep an eye on them to avoid being surprised asking the question, how and when did a particular vendor get into storage in such a big way.
Is Future Data Storage World All Cloud?
Perhaps someday everything involving data storage will be in or part of the cloud.
Does this mean everything is going to the cloud, or at least in the next ten years? IMHO the simple answer is no, even though I see more workloads, applications, and data residing in the cloud, there will also be an increase in hybrid deployments.
Note that those hybrids will span local and on-premises or on-site if you prefer, as well as across different clouds or service providers. Granted some environments are or will become all in on clouds, while others are or will become a hybrid or some variation. Also when it comes to clouds, do not be scared, be prepared. Also keep an eye on what is going on with containers, orchestration, management among other related areas involving persistent storage, a good example is Dell EMCcode RexRay among others.
Various data storage focus areas along with data infrastructures.
What About Other Vendors, Solutions or Services?
In addition to those mentioned above, there are plenty of other existing, new and emerging vendors, solutions, and services to keep an eye on, look into, test and conduct a proof of concept (PoC) trial as part of being an informed data infrastructure and data storage shopper (or seller).
Keep in mind that component suppliers some of whom like Cisco also provides turnkey solutions that are also part of other vendors offerings (e.g. Dell EMC VxBlock, NetApp FlexPod among others), Broadcom (which includes Avago/LSI, Brocade Fibre Channel, among others), Intel (servers, I/O adapters, memory and SSDs), Mellanox, Micron, Samsung, Seagate and many others.
E8, Excelero, Elastifile (software defined storage), Enmotus (micro-tiering, read Server StorageIOlab report here), Everspin (persistent and storage class memories including NVDIMM), Hedvig (software defined storage), NooBaa, Nutanix, Pivot3, Rozo (software defined storage), WekaIO (scale out elastic software defined storage, read Server StorageIO report here).
Some other software defined management tools, services, solutions and components I’m keeping an eye on, exploring, digging deeper into (or plan to) include Blue Medora, Datadog, Dell EMCcode and RexRay docker container storage volume management, Google, HPE, IBM Bluemix Cloud aka IBM Softlayer, Kubernetes, Mangstor, OpenStack, Oracle, Retrospect, Rubrix, Quest, Starwind, Solarwinds, Storpool, Turbonomic, Virtuozzo (software defined storage) among many others
What about those not mentioned? Good question, some of those I have mentioned in earlier Server StorageIO Update newsletters, as well as many others mentioned in my new book "Software Defined Data Infrastructure Essentials" (CRC Press). Then there are those that once I hear something interesting from on a regular basis will get more frequent mentions as well. Of course, there is also a list to be done someday that is basically where are they now, e.g. those that have disappeared, or never lived up to their full hype and marketing (or technology) promises, let’s leave that for another day.
Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.
Where To Learn More
Learn more about related technology, trends, tools, techniques, and tips with the following links.
Data Infrastructures Resources (Servers, Storage, I/O Networks) enabling various services
What This All Means
It is safe to say that each new year will bring new trends, techniques, technologies, tools, features, functionality as well as solutions involving data storage as well as data infrastructures. This means a usual safe bet is to say that the current year is the most exciting and has the most new things than in the past when it comes to data infrastructures along with resources such as data storage. Keep in mind that there are many aspects to data infrastructures as well as storage all of which are evolving. Who Will Be At Top Of Storage World Next Decade? What say you?
Ok, nuff said (for now…).
Cheers
Gs
Greg Schulz – Multi-year 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).
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.
