Microsoft announced Azure Data Box updates #blogtobertech

Microsoft announced Azure Data Box updates – #blogtobertech

Microsoft announced Azure Data Box updates - #blogtobertech

Microsoft announced Azure Data Box is the first in a series of four posts looking at Data Box including a test drive experience. View Part 2 Microsoft Azure Data Box Family, Part 3 Microsoft Azure Data Box Disk Test Drive Review, Part 4 Microsoft Azure Data Box Disk Impressions.

Microsoft Azure Data Box Family Page image via Microsoft.com
Microsoft Azure Data Box Family Page image via Microsoft.com

At Ignite in Microsoft announced Azure Data Box updates, which means its time for a test drive and review. Microsoft has several Data Box solutions available or in the preview to meet various customer needs. These include both online as well as offline solutions that include hardware (except Data Box Gateway), software tools and cloud services. In general, Data Box enables bulk movement and migration of data from on-prem environments to Azure cloud storage including blobs (e.g., objects) and files (e.g., NAS accessible) resources.

Whats The Need for Data Movement Appliance Service

Some might ask the question why do you need a Microsoft Azure Data Box when there are fast networks? Good question, assuming you have fast networks that can move large amounts of bulk data promptly. Microsoft supports traditional Internet-based access to Azure cloud resources for data migration, along with higher speed Express Route service similar to Amazon Web Service (AWS) Direct Connect among other options.

On the other hand, if you need to move a large amount of data that would take weeks, months or longer sending over expensive networks, then solutions like Data Box are an option. Microsoft is not alone or unique having data storage migration or movement services. AWS has Snowball, Snowball Edge with compute, as well as the truck size Snowmobile for large-scale data movement. Google also has their Transfer services including Google Transfer Appliance.

Who is Azure Data Box for?

Azure Data Box is for those who need to migrate data to Azure cloud storage and other services on a one-time or recurring basis. Another scenario is for those who need to have on-prem storage and optional compute at remote or edge locations in support of data acquisition, media & entertainment, energy exploration, AI, ML, DL inferencing, local data processing, pre-processing before sending to cloud among other workloads.

Yet other scenarios for those who need to move large amounts of data online, off-line, or in disconnected also known as submarine mode where a connection to the internet is not always available. Bulk data movement also applies for one-time, as well as recurring data protection such as archive, backups, BC/DR, as well as data shipping, virtual machine farm relocation, SQL Server data migration to cloud, data center consolidation among many other scenarios.

What is Azure Data Box

Azure Data Box is a combination of hardware, software, cloud services that support data migration (on-line and off-line) from on-prem environments including remote or edge to Azure cloud storage resources. There are different Data Box solutions available or in the preview to meet various needs from performance, capacity, functionality, without as well as without compute. In addition to being used for data migration, there are also Data Box solutions (e.g., Edge) that converge compute and storage for deployment at remote or edge locations.

Data Box Gateway is a software-defined virtual machine appliance that deploys on VMware and Microsoft (e.g., Hyper-V) hypervisors. Off-line Data Box solutions scale from single 8TB SSD disks to PB of capacity with various functionality.

As a reminder, blobs are analogous to and what Microsoft Azure refers to instead of objects (e.g., object storage). Also remember that Azure blobs include block, page (512-byte page aligned for VHDX) and append (similar to other vendors object storage). Microsoft Azure in addition to blobs, supports file (SMB and NFS) access, along with table (database) and queue storage services.

Where to learn more

Learn more about Microsoft Azure Data Box, Clouds and Data Infrastructure related trends, tools, technologies and topics via the following links:

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

Software Defined Data Infrastructure Essentials Book SDDC

What this all means

Azure Data Box type solutions and services are becoming more common as well as diverse. With the addition of compute in some of these solutions to support remote edge workloads, the lines may blur with some of the converged and hyper-converged infrastructure (HCI) solutions. Likewise, keep an eye to see how cloud service providers leverage solutions like Data Box Edge to further place their reach out to the edge enabling fog (e.g., cloud at the edge) among other converged functionality. Continue reading Part 2 Microsoft Azure Data Box Family, Part 3 Microsoft Azure Data Box Disk Test Drive Review, and Part 4 Microsoft Azure Data Box Disk Impressions as part of Microsoft announced Azure Data Box updates.

Ok, nuff said, for now.

Cheers Gs

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

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

Cloud File Data Storage Consolidation and Economic Comparison Model #blogtobertech

Cloud File Data Storage Consolidation and Economic Comparison Model #blogtobertech

Cloud File Data Storage Consolidation and Economic Comparison Model

The following is a new Industry Trends Perspective White Paper Report titled Cloud File Data Storage Consolidation and Economic Comparison Model.

Cloud File Data Storage Consolidation and Economic Comparison Model

This new report looks at Distributed File Server and Consolidated Cloud Storage Economic Comparison with a fundamental economic comparison model for remote (on-prem) distributed file-servers and cloud storage consolidation decision-making. IT data infrastructure resource (servers, storage, I/O network, hardware, software, services) decision-making involves evaluating and comparing technical attributes (speeds, feeds, features) of a solution or service. Another aspect of data infrastructure resource decision-making involves assessing how a solution or service will support and enable a given application workload from a Performance, Availability, Capacity, and Economic (PACE) perspective.

Cloud File Data Storage Consolidation and Economic Comparison Model

Keep in mind that all application workloads have some amount of PACE resource requirements that may be high, low or various permutations. Performance, Availability (including data protection along with security) as well as Capacity are addressed via technical speeds, feeds, functionality along with workload suitability analysis. The E in PACE resource decision-making is about the Economic analysis of various costs associated with different solution approaches.

Read more in this Server StorageIO Industry Trends and Perspective (ITP) Report.

Where to learn more

Learn more about Clouds and Data Infrastructure related trends, tools, technologies and topics via the following links:

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

Software Defined Data Infrastructure Essentials Book SDDC

What this all means

When comparing and making data infrastructure resource decisions, consider the application workload PACE characteristics. Also keep in mind that PACE means Performance (productivity), Availability (data protection), Capacity and Economics. This includes making decisions from a technical feature, functionality (speeds and feeds) capacity as well as how the solution supports your application workload. Leverage resources including tools to perform analysis including Cloud File Data Storage Consolidation and Economic Comparison Model approaches.

Ok, nuff said, for now.

Cheers Gs

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

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

Ten tips to reduce your cloud compute storage costs #blogtobertech

Ten tips to reduce your cloud compute storage costs #blogtobertech

Ten tips to reduce your cloud compute storage costs

The following are Ten tips to reduce your cloud compute storage costs.

In some cases, reducing your cloud costs means spending the same yet getting more value and resources that provide a business benefit. For example, paying the same yet upgrading to fewer, faster servers, storage, I/O network resources to support growth while boosting productivity. In other words, when measured on a cost per unit of work done or service enabled, there should be an improvement.

On the other hand, cost cutting can be measured by an actual reduction in spending, for example, consolidating multiple applications to a lower cost compute instance running at higher utilization. The caveat is that while the spend may be reduced, is the corresponding level of service or application and user productivity negatively impacted?

Other examples are a hybrid of removing complexity and cost, as well as cost-cutting, for instance finding orphan resources that are powered on and not used. Orphan resources include IP addresses assigned, being charged for yet not used, or a virtual machine instance powered on however not used. Another orphan example is a VM instance that is powered off however no longer used, nor are the disks assigned to it, as well as any snapshots or backups.

Ten tips to reduce your cloud costs

  • Utilize client and remote site data file cache to reduce cloud egress network fees
  • Bring your own software licenses for operating systems and applications
  • Monitor your cloud cost summaries regularly to watch out for surprises
  • Find and remove orphan resources including instances, images, IP address, storage volumes, buckets
  • Revisit if your data is stored in the appropriate storage class or tier for how it is used. Likewise, leverage lower durable storage tiers as locations for additional protection instead of merely as a single destination to support cost-cutting. For example, cost cutting would be placing your only data protection copy and archive on a lower cost lower durable storage tier. Removing cost, boosting availability would be putting a copy of your data on two or more economical price, less durable storage tiers in different locations, instead of a single copy on a highly durable tier in one place.
  • Consolidate many smaller, lower cost instances into fewer larger instances, removing complexity and costs
  • Utilize reserved instances (RI) along with prepayment discounts, also check with your finance department to see if there are benefits of considering as OpEx or CapEx.
  • Audit your RIs to make sure you have the appropriately sized resources to meet workload needs.
  • Utilize spot instances for spot or ad-hoc interruptible workloads
  • Leverage ephemeral on-instance storage as a cache to boost performance

Additional Tips and Recommendations

Everything is not the same, why treat everything the same including assigning to the same type of resources. Keep in mind that all applications have some level of Performance, Availability, Capacity, and Economic (PACE) resource requirements that need to be balanced.

Similar to on-prem environments, one of the top mistakes when choosing storage is looking only at a cost per capacity, particular with flash-based SSD and NVMe accessed storage. Also look into what the storage performance thresholds are, as well as any access and API or service call fees.

Watch out for excessive API and cloud service calls beyond your normal monthly limits. For example, consistently running rsync on some storage classes can result in surprise monthly invoices. Likewise, moving data around, changing encryption or other operations may wipe out savings from going to a lower storage tier. Look beyond the monthly cost per capacity, what are the access including egress (reading data) fees, as well as API calls such as list, dir or other operations.

Likewise, for compute instances, look beyond the necessary cost also considering how much memory (DRAM), I/O for storage and networking, on-instance storage (temporary or persistent), bring your own license options, number of cores or virtual CPUs along with their speed. Also, watch for any limits on the number of I/O operations per instance particular with fast flash SSD including NVMe accessed storage. Just because its flash or NVMe does not mean it’s going to be fast.

Where to learn more

Learn more about Clouds and Data Infrastructure related trends, tools, technologies and topics via the following links:

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

Software Defined Data Infrastructure Essentials Book SDDC

What this all means

Have a situational awareness of your on-prem environment knowing your costs of resources as well as the level of services to make informed decisions. Don’t be scared, be prepared, avoid flying blind, plan ahead and apply the appropriate resources along with quantity to require application workload needs. Keep in mind that there are more than Ten tips to reduce your cloud compute storage costs, however these should get your off to a good start.

Ok, nuff said, for now.

Cheers Gs

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

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

How I saved money storing more data on aws s3 simple storage service #blogtobertech

How I saved money storing more data on aws s3 simple storage service #blogtobertech

How I saved money storing more data on aws s3 simple storage service

How I saved money storing more data on aws s3 simple storage service is an example of reducing cloud costs as opposed to merely cutting cloud costs. What this means is that instead of just cutting my cloud storage costs with a focus on how much I could save, I wanted to remove some costs while also storing more data without compromise. For example, since making the changes, storage capacity usage has almost doubled, yet prices are remaining 37% lower from two years ago before the changes were made.

How I saved money storing more data on aws s3?

Without adding any context, the typical reaction might be that I saved money storing more data on (or in) AWS S3 as opposed to locally on-site (on-prem). Another typical response would be that I moved all of my data from a different more expensive cloud service to AWS S3. Yet another common reaction would that I moved my AWS S3 data into AWS Glacier cold storage, or, deleted a large amount of data.

Some might even comment that I must have used some type of dedupe, compression or other data footprint reduction (DFR) technology. On the other hand, some might determine that I probably did all or some of the above, or, leveraged AWS tiered storage, aligning different storage classes to the type of data activity.

How I saved money storing more data in AWS S3 actually involved spending some money, to eventually save money by leveraging different S3 storage classes. As part of rebalancing or moving different data to its new storage class, some one-time charges were incurred which recouped after several months of savings. The costs pertained to EC2 compute instances and associated storage used for some of the data tiering, other fees were for access charges along with excessive API calls. For example, some of the data was in storage classes that had fees for early retrieval or deletions, or fees for access among others.

How I use different AWS S3 storage classes (tiers)

  • Standard – Frequently changing data, or data with frequent access
  • Infrequent Access (IA) – Data that does not change frequently or that is not routinely accessed. In the past before OZA, I had placed data that did not need to be in standard, yet to warm for Glacier in this storage class. After the migrations, I have fewer data stored in IA, with more in OZA as well as some in Standard.
  • One Zone Availability (OZA) – Data that is frequently accessed for reading, however, is static, not yet cold enough to move to Glacier or deep archive. A mix of backups, online and active archives. Note that I use OZA as an additional copy or location and not as a single, lowest cost place to store data. In other words, anything that I put into OZA has at least one additional copy somewhere else which may not be in the cloud.
  • Glacier – Very cold, seldom accessed, archives

Where to learn more

Learn more about Clouds and Data Infrastructure related trends, tools, technologies and topics via the following links:

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

Software Defined Data Infrastructure Essentials Book SDDC

What this all means

I decreased my AWS monthly bill by balancing things around, there was a one-month period where my costs increased during the changes, then a subsequent reduction. However, while I saw my monthly AWS storage invoices decrease, I’m also storing more data per month. How I saved money storing more data on aws s3 simple storage service involved using different storage classes.

Ok, nuff said, for now.

Cheers Gs

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

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

Next Generation Hybrid Software Defined Data Infrastructures Are In Your Future #blogtobertech

Next Generation Hybrid Software Defined Data Infrastructures Are In Your Future #blogtobertech

A few weeks ago I was invited to present a keynote at the 1st annual Minnesota VMware User Group (VMUG) Super VMUG mega event in Minneapolis titled Next Generation Hybrid Software Defined Data Infrastructures Are In Your Future (download PDF presentation here).

Key themes of the presentation focused around data infrastructures (e.g. what’s inside physical data centers including server, storage, I/O networking, hardware, software, policies, procedures) along with industry trends including hybrid software defined clouds (and containers). Anther aspect of the presentation focused around building, refreshing and expanding our fundamental data infrasture tradecraft skills. Also keep in mind that everything is not the same across different environments, granted there are similarities that can be leveraged.


Data Infrasture’s are defined to support business applications information service delivery

Data Infrastructures

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 makeup data infrastructures include hardware, software, cloud 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.

Depending on your role or focus, you may have a different view than somebody else of what is infrastructure, or what an infrastructure is. Generally speaking, people tend to refer to infrastructure as those things that support what they are doing at work, at home, or in other aspects of their lives. For example, the roads and bridges that carry you over rivers or valleys when traveling in a vehicle are referred to as infrastructure.

Similarly, the system of pipes, valves, meters, lifts, and pumps that bring fresh water to you, and the sewer system that takes away waste water, are called infrastructure. The telecommunications network. This includes both wired and wireless, such as cell phone networks, along with electrical generating and transmission networks are considered infrastructure. Even the airplanes, trains, boats, and buses that transport us locally or globally are considered part of the transportation infrastructure. Anything that is below what you do, or that supports what you do is considered infrastructure.

The following figure shows various layers or altitudes of encapsulation and abstraction of data infrastructures along with their underlying resources that are defined to support a business enablement outcome, as well as support information services delivery.


Data Infrastructure Stack Layers and Resources Defined To Support Business Information Services

The following figure shows evolution of data infrastructures from on-prem bare metal to software-defined virtual, cloud, containers, converged and hyper-converged packaging as well as emerging composable. Also shown below are a hybrid as well as multi-clouds including bare metal dedicated services in addition to virtual machine instances as well as container-based services.


Data Infrastructure and Resource Packaging Deployment Evolution

Hybrid Software Defined Industry Trends

Some of the trends discussed in the presentation include:

Clouds – Public, Private, Hybrid, Multi and hybrid clouds along with how they are being used, along with technology evolution including virtual machine (VM) instances, bare metal dedicated private servers (DPS) as well as metal as a service. Other cloud trends include data migration appliances such as AWS Snowball Edge, Microsoft Azure Databox among others, VMware on AWS, as well as fog and edge computing.

Other trend topics included converged, hyper-converged, serverless, containers, persistent memory (PMEM) also known as storage class memory (SCM) along with other server storage I/O topics. Additional trend topics included data protection, Azure Stack, security, NVMe as well as NVMe over Fabrics (NVMeoF) along with composable and Gen-Z.

Tradecraft Skills Experience

Expanding your data infrastructure tradecraft means evolving from your primary focus area, gaining insight into other technologies, tools, techniques in adjacent areas outside your comfort zone. For industry veterans with several years to many decades of experience, this means refreshing on what you know, think you know or need to know with what’s new or evolving. On other other hand, for those who are new, expanding your tradecraft means moving beyond learning to memorize to pass a certificate test, to gaining insight on how, when, where, why to apply different tools, technologies, trends to tasks at hand.

For example, developing tradecraft from knowing the different hardware, software, and services resources as well as tools, to what to use when, where, why, and how. Another dimension of expanding data infrastructure tradecraft skills is gaining the experience and insight to troubleshoot problems, gain insight awareness with dashboard or monitoring tools, as well as how to design and manage to cut or reduce the chance of things going wrong.

From Tools and Technologies to Techniques and Tricks of the Trade

Expanding your awareness of new technologies along with how they work is important, so too is understanding application and organization needs. Developing your tradecraft means balancing the focus on new and old technologies, tools, and techniques with business or organizational application functionality.

This is where using various tools that themselves are applications to gain insight into how your data infrastructure is configured and being used, along with the applications they support, is important.

Data Infrastructure Tools Tradecraft
Data Infrastructure Toolbox (Hardware, Software, Scripts)

Next Generation Hybrid Software Defined Data Infrastructures What Next


Balance head in the clouds (thinking, strategy, vision) with feet on the ground (what you can do today)

The following are some additional tips, comments, recommendations to keep in mind for enabling your next generation hybrid software defined data infrastructure.

Where to learn more

Learn more about data infrastructures and tradecraft related trends, tools, technologies and topics via the following links:

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

Software Defined Data Infrastructure Essentials Book SDDC

What this all means

Everything is not the same across different organizations, IT environments, application workloads and the data infrastructures that support them. Data Infrasture’s span from legacy on-prem to software-defined cloud (public, private, hybrid, multi-cloud), container, serverless, virtual, hybrid, converged and hyper-converged, as well as central, core and distributed edge or remote office branch office (ROBO). Even though everything is not the same, there are similarities across different environments, technologies and workloads that can be leveraged. Fundamental tradecraft skills and experiences are what enable you to know what to use when, where, why and how including using new as well as old things in new ways, while not making old mistakes in new ways.

Some other tips include avoid flying blind, particular in software defined and cloud environments, have situational awareness, end to end (E2E) insight leveraging metrics that matter, are relevant, timely, accurate and hold context to the data infrastructures as well as applications they support. Part of expanding your tradecraft skills is refreshing on what you know, also expanding into new adjacent areas getting out of your comfort zone. Also understand the context of different terms, technologies and tools. For example, SAS can be big data analytic statistical analysis software, serial attached SCSI storage device as well as shared access signature for Azure clouds among others.

Also keep in mind that while software defined things are popular and trendy with the industry, keep the focus on what is being defined to enable an outcome or business enablement In other words, the emphasis should not be on the software aspect per say, rather how something (hardware, software, service) is defined to enable something. Also keep in mind with software defined marketing and trends such as serverless, servers and software still need hardware (somewhere), and hardware still needs software from micro code to firmware to many other places in the data infrasture layers or stack. Meanwhile, keep in mind that it is #blogtobertech and Next Generation Hybrid Software Defined Data Infrastructures Are In Your Future.

Ok, nuff said, for now.

Cheers Gs

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

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

Server StorageIO 2018 VMworld Data Infrastructure Buzzword Bingo Puzzle

Server StorageIO 2018 VMworld Data Infrastructure Buzzword Bingo Puzzle

Server StorageIO 2018 VMworld Data Infrastructure Buzzword Bingo Puzzle

Following up from last years 2017 crossword puzzle for travel fun, here is the Server StorageIO 2018 VMworld Data Infrastructure Buzzword Bingo Puzzle (click on the below image for PDF version that includes answers). The Server StorageIO 2018 VMworld Data Infrastructure Buzzword Bingo Puzzle can be something to do while traveling, taking a break between (or during) sessions as well as keynotes. I wonder which buzzword term will get used the most, as well as new ones to be added to an updated version of this?

Server StorageIO 2018 VMworld Data Infrastructure Buzzword Bingo Puzzle

Where to learn more

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

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

Software Defined Data Infrastructure Essentials Book SDDC

What this all means

Next week is VMworld 2018 in Las Vegas which means for some traveling and long week. Feel free to suggest additions as there could be a revision, update or two between now and VMworld. Have fun, safe travels, hope to see you next week in the meantime enjoy the Server StorageIO 2018 VMworld Data Infrastructure Buzzword Bingo Puzzle.

Ok, nuff said, for now.

Cheers Gs

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

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

Catching Up With Summer 2018 IBM Cloudy Software Defined Storage Announcements

Summer 2018 IBM Cloudy Software Defined Storage Announcements

Catching Up With Summer 2018 IBM Cloudy Software Defined Storage Announcements

Time for some catching up with summer 2018 IBM cloudy software defined storage announcements that were made earlier this week. The Share Event (Mainframe centric) is occurring this week in St. Louis. Thus, it is no surprise that it is time for catching up with summer 2018 IBM cloudy software-defined storage announcements that are geared to mainframe Z environments. These cloud and software-defined storage for the mainframe environment announcements follow those from a few weeks ago including new Power9 based servers and IBM FlashSystem 9100 flash SSD.

What was announced

What IBM announced this week were a mix of mainframe Z server storage with software-defined storage and cloud (e.g. cloudy) support including:

IBM Spectrum Protect 8.1.6 multi-cloud updates with tiered backup across on-site and cloud. For example, active data remains on-site (or on-prem), inactive data protection copies get moved (tiered) to cloud storage. Other enhancements include software-defined threat protection such as malware and ransomware extending to hypervisor data, along with blueprint guides for IBM Cloud (e.g., Softlayer), AWS and Microsoft Azure.

IBM Spectrum Protect Plus 10.1.1 enhanced with encryption of vSnap repositories for security, VMware vSphere 6.7 support, improved dashboards user interfaces (UI), and DB2 support in addition to Microsoft SQL Server and Oracle.

IBM DS8882F storage
IBM DS8882F Z mainframe rack mount storage Image via IBM.com

IBM DS8882F rack-mounted storage system (part of DS8000 storage family) integrated with IBM Z ZR1 (mainframe) and LinuxOne Rockhopper II (mainframe) servers. The DS8882F supports from 6.4TB to 368.64TB raw capacity. Along with safeguarded copy protection including read-only copies (e.g., a variation of WORM), along with encrypted digital signatures, and 256-bit AES encryption.

IBM Cloud Object Storage aka COS (formerly known as Cleversafe) functions as a target tier for DS8880 without the need for an external gateway. Enhancements also include a new 1U server (via Quanta) supporting up to 72 TB configurations.

IBM Elastic Storage Server File and Object pre-configured storage for AI, ML, Big Data and High-Performance Compute (HPC) includes an integrated file (NFS, SMB, S3, Swift) and object access. The solution is pre-installed on IBM Power8 servers running Red Hat Linux (e.g., RHEL). IBM claims high throughput for NAS NFS workloads with a large number of server connections. However, some performance numbers would be impressive to see along with a side of context.

IBM Spectrum Scale on AWS is a software-defined storage solution alternative to the traditional appliance-based solution. With Spectrum Scale 5.0.2 IBM is joining other vendors who have made their software-defined storage solutions available on clouds such as AWS, Azure, Google among others. Besides running on AWS working with Virtual Private Clouds (VPC), IBM supports per TB licenses including bringing your own license a growing industry trend.

Where to learn more

Learn more about IBM Server, Storage, Data Protection and data infrastructures related topics via the following links:

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

Software Defined Data Infrastructure Essentials Book SDDC

What this all means

Despite having been declared dead for decades, IBM Z series are still prevalent in many large environments even in a software-defined cloudy era. It’s good to see IBM continuing to invest in, and join other industry vendors who are supporting various cloudy deployments, as well as legacy on-site aka on-prem.

Likewise, IBM is making its legacy Z mainframe systems trendy and cloudy with these new enhancements to support customer hybrid server, storage, and data infrastructure deployments.

Overall, a nice set of incremental improvements following industry trends, and catching up with summer 2018 IBM cloudy software defined storage announcements.

Ok, nuff said, for now.

Cheers Gs

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

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

July 2018 Server StorageIO Data Infrastructure Update Newsletter

July 2018 Server StorageIO Data Infrastructure Update Newsletter

July 2018 Server StorageIO Data Infrastructure Update Newsletter

Volume 18, Issue 7 (July 2018)

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

In cased you missed it, the June 2018 Server StorageIO Data Infrastructure Update Newsletter can be viewed here ( HTML and PDF).

In this issue buzzwords topics include Dell Technology and VMware, AWS and Google public, private and hybrid cloud, machine learning, 3D XPoint, SCM, SSD, NVMe, data infrastructure management tools among other topics.

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

Cheers GS

Data Infrastructure and IT Industry Activity Trends

July 2018 data infrastructure, server, storage, I/O network, hardware, software, cloud, converged, and container as well as data protection industry activity includes among others:

Amazon Web Services AWS July 2018 Updates include enhancements to machine learning (ML) Sagemaker service, faster S3 access, new EC2 instances along with Snowball Edge (SBE) for on-prem converged server and compute appliance ( read more about SBE here). In other public cloud activity, Google Cloud Platform GCP announced new Los Angeles Region.

Intel and Micron have announced that they will be pursuing different paths when they complete the second generation in 2019 of 3D XPoint used in Intel Optane NVMe SSD and Storage Class Memory (SCM) technologies, read more here Intel Micron 3D XPoint Evolving. Meanwhile, Broadcom buying CA, Brilliant or a Brainbuster? This deal is a bit of a head scratcher with Broadcom spending $18.9 Billion USD (cash) to by CA Technologies.

In other data infrastructures news and activity, DataDirect Networks Stages Bid to Acquire Tintri’s Assets and Expand Its Storage Portfolio into the Enterprise. Dell EMC announced a new integrated data protection appliance ( IDPA DP4400) for small and midsize organizations. In other activity, VMware declared a dividend, with Dell Technologies being a majority owner, will use cash to fund Dell business structuring. Read more about Dell Technologies Announces Class V VMware Tracking Stock exchange for stock or cash here.

Spectra (e.g. who some of you know as Spectra Logic) has announced enhancements to their tape libraries. Note that one of the larger growth (or sustainment) markets for tape based technologies in recent years have been the larger cloud scale service providers. Granted those providers are not using tape in old ways (e.g. for direct backup), rather, in new ways where it is a companion to SSD, HDD as another storage class, tier or technology enabler.

IBM has jumped on the NVMe bandwagon announcing updates to their Flashsystems 9100 systems (e.g. what they acquired via TMS a few years ago). Opvisor has announced a new VMware vSAN performance monitoring and troubleshooting feature for their insight, awareness management tools.

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

Data Infrastructure Server StorageIO Comments Content

Server StorageIO Commentary in the news, tips and articles

Recent Server StorageIO industry trends perspectives commentary in the news.

Via : SearchStorage: Comments on GDPR and Cloudian File Sync Share 
Via : NetworkComputing: Comments Software Defined Storage SDS Getting Started 
Via SearchStorage: Comments The storage administrator skills you need to keep up today
Via SearchStorage: Comments Managing storage for IoT data at the enterprise edge
Via SearchCloudComputing: Comments Hybrid cloud deployment demands a change in security mind set

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

Data Infrastructure Server StorageIOblog posts

Server StorageIOblog Data Infrastructure Posts

Recent and popular Server StorageIOblog posts include:

2018 Hot Popular New Trending Data Infrastructure Vendors to Watch
June 2018 Server StorageIO Data Infrastructure Update Newsletter
May 2018 Server StorageIO Data Infrastructure Update Newsletter
Have you heard about the new CLOUD Act data regulation?
Data Protection Recovery Life Post World Backup Day Pre GDPR
Microsoft Windows Server 2019 Insiders Preview
Server Storage I/O Benchmark Performance Resource Tools
Data Infrastructure Primer Overview (Its Whats Inside The Data Center)
If NVMe is the answer, what are the questions?

View other recent as well as past StorageIOblog posts here

Server StorageIO Recommended Reading (Watching and Listening) List

Software-Defined Data Infrastructure Essentials SDDI SDDC

In addition to my own books including Software Defined Data Infrastructure Essentials (CRC Press 2017) available at Amazon.com (check out special sale price), the following are Server StorageIO data infrastructure recommended reading, watching and listening list items. The Server StorageIO data infrastructure recommended reading list includes various IT, Data Infrastructure and related topics including Intel Recommended Reading List (IRRL) for developers is a good resource to check out.

Duncan Epping ( @DuncanYB), Frank Denneman ( @FrankDenneman) and Neils Hagoort ( @NHagoort) have released their VMware vSphere 6.7 Clustering Deep Dive book available at venues including Amazon.com. This is the latest in a series of Cluster and deep dive books from Frank and Duncan which if you are involved with VMware, SDDC and related software defined data infrastructures these should be on your bookshelf.

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

Data Infrastructure Server StorageIO event activities

Events and Activities

Recent and upcoming event activities.

July 25, 2018 – Webinar – Data Protect & Storage

June 27, 2018 – Webinar – App Server Performance

June 26, 2018 – Webinar – Cloud App Optimize

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

Data Infrastructure Server StorageIO Industry Resources and Links

Various useful links and resources:

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

What this all means and wrap-up

Summer is here in North America and the Northern Hemisphere which means holidays as well as vacations. However Data Infrastructures continue to evolve as do the tools, technologies, trends, hardware, software, services along with those who take care of, and define them. Enjoy your summer vacation, holidays as well as this July 2018 Server StorageIO Data Infrastructure Update Newsletter edition.

Ok, nuff said, for now.

Gs

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

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

Amazon Web Services AWS July 2018 Updates

Amazon Web Services AWS July 2018 Updates

Amazon Web Services (AWS) July 2018 Updates

Amazon Web Services AWS July 2018 Updates

Amazon Web Services AWS July 2018 Updates continue to expand feature, functionality, service capabilities of the public cloud providers capabilities across various geographies.

Recent AWS updates include Snowball Edge (SBE) that adds local, on-site, on-premises aka on-prem EC2 compute capabilities as part of the Snowball appliance. Previously Snowball was a data and storage migration only appliance, now with the new capabilities, compute is also enabled as part of a turnkey converged platform. Read more about SBE here.

In other updates, AWS has extended its Elastic Cloud Compute (EC2) capabilities (besides Snowball Edge) with new instance types, along with leveraging their next generation hypervisor as part of Nitro enabled systems. New EC2 instances span from on-prem Snowball Edge (SBE) to AWS Dedicated aka bare metal instances, along with traditional cloud instances (e.g., virtual machines).

These new instances including R5, R5D, and Z1 among others leverage faster Intel Xeon Platinum 8000 series processors, along with more memory. For example, Z1D is a compute-intensive instance with 4.0 GHz all turbo enabled core, while R5 is memory optimized with 3.1 GHz cores (up to 96 vCPU) and up to 768GB of RAM. The R5D is a memory-optimized instance that also supports up to 3.6TB of on-instance NVMe based storage. View additional AWS instance types here.

AWS has enhanced SageMaker (Machine Learning) service supporting higher throughput enabling faster data transformation batch jobs of non-real-time inference. To enable higher data and API call rates, AWS has also enhanced Simple Storage Service (S3) request rate. Another enhancement by AWS is enabling bring your own IP address preview for virtual private cloud (VPC) as part of allowing hybrid clouds.

View additional new, recent and past AWS updates here, and here.

Where to learn more

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

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

Software Defined Data Infrastructure Essentials Book SDDC

What this all means

Amazon Web Services AWS July 2018 Updates continue to expand the number, type and extensiveness of public cloud services, as well as enabling hybrid capabilities. The Amazon Web Services AWS July 2018 Updates also address different data infrastructure layers from lower level Infrastructure as a Service (IaaS) including EC2 compute, as well as higher level artificial inelegance (AI), machine learning (ML), deep learning (DL) among other cognitive as well as analytic offerings.

Ok, nuff said, for now.

Cheers Gs

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

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

Broadcom buying CA, Brilliant or a Brainbuster?

Broadcom buying CA, Brilliant or a Brainbuster?

Broadcom buying CA, Brilliant or a Brain buster?

For some in the IT industry as well as financial markets, there is skepticism about Broadcom (formerly known as Avago) making an announcing that they are buying CA Technologies (CA) for USD 18.9 Billion (cash). For example, the Broadcom stock ( AVGO) took a significant negative hit (13%) on the news.

Broadcom Stock impact after announcing CA purchase
Broadcom Stock upon announcing buying CA (via Google)

Broadcom aka Avago and CA rewind

Why the backlash over buying CA? a couple of reasons, CA is not exactly the most loved software vendor by customers in the industry, and, Broadcom (Avago) has been traditionally focused on hardware.

However, to understand this better, lets take a step back.

After digesting the likes of Broadcom, Brocade, and LSI among others, as well as after failing to capture Qualcomm in a USD 117 Billion takeover attempt, Avago (e.g., Broadcom) has set its sights on Mainframe and legacy enterprise software vendor Computer Technologies (CA) formerly known as Computer Associates. CA has about USD 4.2 Billion in annual revenue with about two-thirds tied to legacy IBM mainframe software, and the rest in other enterprise software. While not a growth segment, the IBM mainframe software business is a good annuity revenue and margin stream.

Data Infrastructures
Data Infrastructures support IT business applications

Broadcom had 2017 revenues of about USD 17.6 Billion made up of a diverse product set including data infrastructure hardware along with associated software spanning legacy to new and emerging cloud environments. Some of Broadcom technologies include server I/O devices such as PCIe, SAS, SATA and NVMe adapters, RAID controllers and chips, Fibre Channel, NVMe over Fabric (NVMeoF), Ethernet, switches and much more.
Broadcom and CA, Brainbuster or Brilliant?

This deal is a bit of a head-scratcher or brainbuster on the surface as Broadcom aka Avago has been primarily a hardware company (they do have a portfolio of drivers, management tools, monitoring and other software) and I can understand them wanting to get more into the software business.

Avago (excuse me, Broadcom) has had a focus on leaning out acquisitions to drive volume and integration across its portfolio, bringing value to its partners and customers. For its part, CA has been known where old (or new) software goes to die or retire garnering CA reputations as a software retirement home, or undertaker for technology. Refer to the Broadcom SEC filing for more information here.

On the other hand, CA has made a successful business wringing our value from existing software as opposed to substantial investment in new development; they do do some new development.

Perhaps this is the risk and reward that Avago sees, where similar to themselves of wringing out value from existing hardware, maybe they will do the same with CA, however, taking it to a new level. If that is the game, then once CA is bought by Broadcom, who will they pursue from a software acquisition target list similar to what Avago has done with hardware?

Where to learn more

Learn more about Broadcom (Avago), CA and data infrastructures related topics via the following links:

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

Software Defined Data Infrastructure Essentials Book SDDC

What this all means

For now, Broadcom buying CA is a brainbuster, especially on the surface. However, there could be a brilliant move if Broadcom can leverage CA to do what it has done in the past. That is, similar to Avago buying various companies and leaning them out; CA has done similar with both boosting recurring revenues and increasing market footprint. Also, the combined companies can also leverage their reach into various partner ecosystems as keep in mind, hardware needs software, software needs hardware, and Broadcom is now a supplier of both.

It will be interesting to see how much Broadcom leans out CA, perhaps the lessons from buying Brocade might help as opposed to previous purchases. My point is that Brocade solutions are higher up the data infrastructure technology stack than traditional Broadcom, Avago, LSI components that require more direct customer-facing sales and marketing.

CA for its part also relies on direct customer-facing sales and marketing, however, is their room or opportunity for leaning things out?

Something else interesting to watch is how much Broadcom allows CA to operate on its own, vs. more under the direct Broadcom umbrella.

Then there is the question of to sustain growth, does Broadcom and CA go on additional shopping sprees for undervalued software companies and whom would those be? Perhaps some of the legacy big vendors such as Cisco, Dell Technologies, HPE, IBM, Oracle among others might be interested in selling off some under performing software.

On the other hand, perhaps there are some opportunities for Broadcom and CA to do some buy out deals with private equity firms?

Keep in mind that over the past few years, several software business units have been divested from the likes of the combined Dell and EMC, HPE among others.

For now, I’m sticking with Broadcom buying CA as a brainbuster, however, see some interesting scenarios in the future.

Ok, nuff said, for now.

Cheers Gs

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

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

AWS Snowball Edge SBE Converged Cloud Storage Appliance

AWS Snowball Edge SBE Converged Cloud Storage Appliance

AWS Snowball Edge SBE Converged Cloud Storage Appliance

As part of extending their cloud platform reach, recent Amazon Web Services (AWS) announcements include AWS Snowball Edge SBE Converged Cloud Storage Appliance. Snowball Edge (SBE) has evolved from its previous focus as a data transfer, migration platform appliance to now include support for on-prem compute. SBE has previously been available as an appliance that ships from AWS to your location as a service to enable bulk data movement to the public cloud (e.g. AWS Simple Storage Service (S3) bucket). With this new capability, AWS is enabling SBE to support on-prem compute similar to Elastic Cloud Compute (EC2) cloud instances.

AWS Snowball Data Migration at PB scale
AWS Snowball Appliance Image via AWS.com

What is AWS Snowball

Snowball is a bulk physical data migration appliance that AWS ships to your location. You use Snowball by setting up a copy job with AWS, when the device arrives at your site, set it up, and enable the copy jobs to occur moving data from source to Snowball destination. Once data is copied, you ship the Snowball back to an AWS region and availability zone (AZ) where its contents are copied into a Simple Storage Service (S3) bucket of your choice. Once the copy job into an AWS S3 is complete, AWS performs a secure erase of the Snowball.

Basic Snowball includes 10 GbE network connections (RJ45 and SFP+ [fiber or copper]). Security and Encryption includes 256-bit keys that can be managed via AWS Key Management Service (KMS). Note that keys are not sent to or stored on the device for security during transit. For additional protection, tamper-resistant seals are included along with the Trusted Platform Module (TPM) to detect unauthorized hardware, firmware or software changes.

End to End tracking is enabled using E ink shipping labels and allow monitoring via AWS Simple Notification Service (SNS). Once your data transfer job completes along with verified, a software erasure of the SBE is performed by AWS following NIST media handling guidelines.

For management, SBE has an API for customer integration, as well as the ability to create and manage transfer jobs via the AWS management console. SBE Adapter also gives customers direct access to Snowball where it appears as an S3 endpoint (how you access the storage and data).

Backside view of AWS Snowball
Backside view of Snowball Image via Amazon.com

Additional Snowball Speeds and Specification Feature Feeds include:

  • Storage space capacity of 50TB (42TB usable) or 80TB (72TB usable)
  • Network connectivity 10 GbE RJ45 (Cat6), SFP+ (Copper and Optical). Cables include RJ45 and Copper SFP+. For Fiber attached Ethernet, the customer supplies their own SFP+ optical cables.
  • SBE is designed for office environments, as well as data centers (e.g., about 68db) and weigh about 47 pounds.
  • Power requirements include NEMA 5-15p (standard wall outlet) 100-200 volts with power cable included.

Note for traditional Snowball deployments an on-prem workstation or server is needed to copy data from source locations to the Snowball device.

How AWS Snowball and Snowball Edge work

How AWS Snowball Works

Referring to the image above, first step to using AWS Snowball (or Snowball Edge) is to place an order via AWS management console (A). Part of the ordering process involves setting up the data transfer job, and in the case of AWS Snowball Edge, defining the EC2 instance and image (read more about that here via AWS). After placing order and setup, the AWS Snowball arrives at your location (B), on-site setup is done and data transfer performed (C). Once data is transferred, the AWS Snowball is returned to designated AWS location via two day shipping (D) and data copied into your specified S3 or Glacier bucket (E). After your data is transferred into the S3 or Glacier bucket you specify as part of the transfer job, you are able to do what you want with your files, folders, images, videos, VHDX’s, VMDK’s, ISO, little data, big data.

What is AWS Snowball Edge

AWS has enhanced its Snowball Edge (SBE) data mobility, migration, and transport appliance to now also include compute. For those not familiar, Snowball is an appliance that comes in various sizes that you order from AWS, it shows up at your site, and then you copy your data to it for migration into AWS. Once data is copied, you return to AWS where the data then appears in your designated S3 bucket. From your S3 bucket, you can then move the data, files, volumes, images to other locations, use for standing up EC2 compute, populating databases or other items.

With the new compute feature, AWS is enabling compute on the snowball edge appliance functioning similar to EC2 instance, except that they are on your site. This means you can use the compute to run your own custom AMI’s (Amazon Machine Image) on site or on-prem in support of data migration, conversion or another process. You can also keep the appliance on-site for as long as you want, granted your credit card gets charged to support development, test, extended migration, or to have a converged, or, hyper-converged platform.

Note that with SBE having compute capability, you can now run an EC2 image that functions as your copy server eliminating the need to have a workstation or server on-prem for the copy operation.

Additional AWS Snowball Edge Speeds and feature function feeds include:

  • 100TB (82TB usable) storage space capacity
  • 10 GbE network, along with 10/25 GbE SFP28 and 40 GbE QSFP+ with device-based encryption (customer provided network cables)
  • Local computing with EC2 and Lambda functions for remote deployment along with scale-out clustering of multiple SBE’s
  • S3 compatible endpoint along with NFS endpoint (mount point) using both NFS v3 and v4.1.
  • Weighs about 50 pounds, tamper evident seals along with TPM similar to traditional Snowball along with detection of hardware, firmware or software changes.
  • Can exist in an office environment, or data center.
  • Power cables are included, NEMA 5-15p, 100-220 volts, 400 watts.

What is AWS Snowmobile

Need something with more capacity than an SBE? AWS has a more extensive version called Snowmobile that supports up to 100PB that is brought to your site via a 45-foot-long tractor-trailer truck. Both SBE and Snowmobile physically move data from your location to an AWS region availability zone (AZ) aka data center where it is placed into the Simple Storage Service (S3) or Glacier bucket of your choice. Once in the S3 or Glacier bucket, you can move the data to where ever you need it.

Why Snowball Edge and Snowmobile vs. Fast Networks

Some people ask why the need for services such as SBE and Snowmobile, or, physically shipping your SSDs, HDD’s, tape or other storage media to a cloud provider in the Internet era of fast networks. The reason can be quite simple; most environments do not have internet connection speeds of 10 GbE or higher that can be dedicated outside of regular use for data movement at scale.

Likewise, some public cloud service providers have limitations on the network speed of their front-end general-purpose Internet access.

Note that some such as AWS have high-speed, low latency direct connect services from partner staging locations. However, those too may be limited in speed for large bulk transfers. AWS also has other performance-enhanced services for general Internet access including S3 Transfer Acceleration. Note that Microsoft Azure has special connectivity options such as ExpressRoute, while Google Compute Platform (GCP) has Cloud Interconnect.

Is AWS SBE and CI, HCI, CiB or Appliance?

The answer to the question of if SBE is a Converged Infrastructure (CI), Hyper-Converged Infrastructure (HCI), Cloud in a Box (CiB) or Cloud Appliance depends on your view and definition of those deployment models. Some will argue that SBE is a CI or HCI as well as CiB based on what Cisco, Dell Technologies, HPE, Microsoft (Azure Stack and Windows S2D), NetApp, Nutanix, Pivot3 and VMware vSAN among others offerings.

On the other hand, some will argue that SBE is not the same as the above and others give it does not meet the definition of their CI, HCI, CiB or cloud appliance. What is important is not if CI, HCI, CiB or appliance, rather, what it can do, how it can adapt to your environment and work for you vs. you work for it. In other words, what is important is the enablement a solution provides vs. if it is CI, HCI, CIB or something else. Meanwhile watch to see who ignores SBE, who welcomes it to their market space, and who throws mud balls and fud balls at snowball.

When to use Snowball vs. Snowball Edge

If all you need is bulk data migration appliance using one of your servers or workstations for smaller amounts of data, traditional Snowball is a good fit. On the other hand, if you need to move more data, leverage SBE enabled on-prem compute with EC2 and Lambda functionality for short, or long-term duration, as well as scale-out to create a cluster, then SBE is for you. SBE is also a good fit for environments that need short-term, as well as the longer-term deployment of compute, storage and network (e.g., converged). For example, factory environments, rugged implementations on ships, energy exploration and processing, traveling venues and sporting events, distributed environments being consolidated among others.

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

What About AWS Snowball Edge Pricing

Pricing varies based on AWS region you are using for your transfer and management from. Another variable is if you are selecting data transfer only, or, enabling EC2 compute instance on-prem. Yet another pricing variable is how long you will keep the Snowball Edge on-prem. You are given ten (10) free days as part of your data transfer job along with days for shipping and return.

Beyond the ten free days, you will pay a daily rate that varies. The longer you keep the SBE on-prem, and for example commit to a one or three-year pre-pay, you will receive larger discounts. Also note that there are no data transfer fees for moving data into AWS. However, standard pricing applies once stored into AWS, or moved. Also note that standard AWS storage charges (e.g. S3, Glacier, along with API calls apply once data is stored).

As an example, data transfer only, the service fee for a data transfer job is USD 300 for the US and another non-Asia-Pacific (Singapore). Additional days are $30 each.

Another example is selecting data transfer plus EC2 compute instance which varies by region example is $500 for transfer job (US East Northern Virginia or Ohio), $50 a day extra fee. However, if you are will to pay up front for one year, the day fee drops to $42 (varies by region), and to $35 a day for a three commitment.

For some environments, it may cost less to buy a server with storage, set it up and manage, while for others, the simplicity of a turnkey converged platform may be more cost-effective along with better value. Learn more about AWS Snowball Edge pricing here.

Where to learn more

Learn more about AWS, Snowball Edge, Cloud and data infrastructures related topics via the following links:

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

Software Defined Data Infrastructure Essentials Book SDDC

What this all means

Has AWS embraced hybrid public cloud and on-prem computing? IMHO while AWS is making it easier for environments to use, access as well as move to public cloud, they are still focused on the public cloud as the destination. In other words, AWS is making it easy to move your data and applications to their services as well as access them with AWS Snowball Edge SBE Converged Cloud Storage Appliance.

Ok, nuff said, for now.

Cheers Gs

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

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

Google Cloud Platform GCP announced new Los Angeles Region

Google Cloud Platform GCP announced new Los Angeles Region

Google Cloud Platform GCP announced new Los Angeles Region

Google Cloud Platform GCP announced new Los Angeles Region

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

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

How Does GCP Compare to AWS and Azure?

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

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

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

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

Where to learn more

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

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

Software Defined Data Infrastructure Essentials Book SDDC

What this all means

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

Ok, nuff said, for now.

Cheers Gs

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

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

2018 Hot Popular New Trending Data Infrastructure Vendors to Watch

2018 Hot Popular New Trending Data Infrastructure Vendors to Watch

2018 Hot Popular New Trending Data Infrastructure Vendors to Watch

2018 Hot Popular New Trending Data Infrastructure Vendors to Watch

Here is the 2018 Hot Popular New Trending Data Infrastructure Vendors To Watch which includes startups as well as established vendors doing new things. This piece follows last year’s hot favorite trending data infrastructure vendors to watch list (here), as well as who will be top of storage world in a decade piece here.

2018 Hot Popular New Trending Data Infrastructure Vendors to Watch
Data Infrastructures Support Information Systems Applications and Their Data

Data Infrastructures are what exists inside physical data centers and cloud availability zones (AZ) that are defined to provide traditional, as well as cloud services. Cloud and legacy data infrastructures are combined by hardware (server, storage, I/O network), software along with management tools, policies, tradecraft techniques (skills), best practices to support applications and their data. There are different types of data infrastructures to meet the needs of various environments that range in size, scope, focus, application workloads, along with Performance and capacity.

Another important aspect of data infrastructures is that they exist to protect, preserve, secure and serve applications that transform data into information. This means that availability and Data Protection including archive, backup, business continuance (BC), business resiliency (BR), disaster recovery (DR), privacy and security among other related topics, technology, techniques, and trends are essential data infrastructure topics.

2018 Hot Popular New Trending Data Infrastructure Vendors to Watch
Different timelines of adoption and deployment for various audiences

2018 Hot Popular New Trending Data Infrastructure Vendors to Watch

Some of those on this year’s list are focused on different technology areas, while others on size or types of vendors, suppliers, service providers. Others on the list are focused on who is new, startup, evolving, or established which varies from if you are an industry insider or IT customer environment. Meanwhile others new and some are established doing new things, mix of some you may not have heard of for those who want or need to have the most current list to rattle off startups for industry adoption (and deployment), as well as what some established players are doing that might lead to customer deployment (and adoption).

AMD – The AMD EPYC family of processors is opening up new opportunities for AMD to challenge Intel among others for a more significant share of the general-purpose compute market in support of data center and data infrastructure markets. An advantage that AMD has and is playing to in the industry speeds feeds, slots and watts price performance game is the ability to support more memory and PCIe lanes per socket than others including Intel. Keep in mind that PCIe lanes will become even more critical as NVMe deployment increases, as well as the use of GPU’s and faster Ethernet among other devices. Name brand vendors including Dell and HPE among others have announced or are shipping AMD EPYC based processors.

Aperion – Cloud and managed service provider with diverse capabilities.

Amazon Web Services (AWS) – Continues to expand its footprint regarding regions, availability zones (AZ) also known as data centers in regions, as well as some services along with the breadth of those capabilities. AWS has recently announced a new Snowball Edge (SBE) which in the past has been a data migration appliance now enhanced with on-prem Elastic Cloud Compute (EC2) capabilities. What this means is that AWS can put on-prem compute capabilities as part of a storage appliance for short-term data movement, migration, conversion, importing of virtual machines and other items.

On the other hand, AWS can also be seen as using SBE as a first entry to placing equipment on-prem for hybrid clouds, or, converged infrastructure (CI), hyper-converged infrastructure (HCI), cloud in a box similar to Microsoft Azure Stack, as well as CI/HCI solutions from others.

My prediction near term, however, is that CI/HCI vendors will either ignore SBE, downplay it, create some new marketing on why it is not CI/HCI or fud about vendor lock-in. In other words, make some popcorn and sit back, watch the show.

Backblaze – Low-cost, high-capacity cloud storage for backup and archiving provider known for their quarterly disk drive reliability ratings (or failure) reports. They have been around for a while, have a good reputation among those who use their services for being a low-cost alternative to the larger providers.

Barefoot networks – Some of you may already be aware of or following Barefoot Networks, while others may not have heard of them outside of the networking space. They have some impressive capabilities, are new, you probably have not heard of them, thus an excellent addition to this list.

Cloudian – Continue to evolve and no longer just another object storage solution, Cloudian has been expanding via organic technology development, as well as acquisitions giving them a broad portfolio of software-defined storage and tiering from on-prem to the cloud, block, file and object access.

Cloudflare – Not exactly a startup, some of you may know or are using Cloudflare, while to others, their role as a web cache, DNS, and other service is transparent. I have been using Cloudflare on my various sites for over a year, and like the security, DNS, cache and analytics tools they provide as a customer.

Cobalt Iron – For some, they might be new, Software-defined Data protection and management is the name of the game over at Cobalt Iron which has been around a few years under the radar compared to more popular players. If you have or are involved with IBM Tivoli aka TSM based backup and data protection among others, check out the exciting capabilities that Cobalt can bring to the table.

CTERA – Having been around for a while, to some they might not be a startup, on the other hand, they may be new to others while offering new data and file management options to others.

DataCore – You might know of DataCore for their software-defined storage and past storage hypervisor activity. However, they have a new piece of software MaxParallel that boost server storage I/O performance. The software installs on your Windows Server instance (bare metal, VM, or cloud instance) and shows you performance with and without acceleration which you can dynamically turn off and off.

DataDirect Networks (DDN) – Recently acquired Lustre assets from Intel, now picking up the storage startup Tintri pieces after it ceased operations. What this means is that while beefing up their traditional High-Performance Compute (HPC) and Super Compute (SC) focus, DDN is also expanding into broader markets.

Dell Technologies – At its recent Dell Technology World event in Las Vegas during late April, early May 2018, several announcements were made, including some tied to emerging Gen-Z along with composability. More recently, Dell Technologies along with VMware announced business structure and finance changes. Changes include VMware declaring a dividend, Dell Technologies being its largest shareholder will use proceeds to fund restricting and debt service. Read more about VMware and Dell Technology business and financial changes here.

Densify – With a name like Densify no surprise they propose to drive densification and automation with AI-powered deep learning to optimize application resource use across on-prem software-defined virtual as well as cloud instances and containers.

FlureDB – If you are into databases (SQL or NoSQL), as well as Blockchain or distributed ledgers, check out FlureDB.

Innovium.com – When it comes to data infrastructure and data center networking, Innovium is probably not on your radar, however, keep an eye on these folks and their TERALYNX switching silicon to see where it ends up given their performance claims.

Komprise – File, and data management solutions including tiering along with partners such as IBM.

Kubernetes – A few years ago OpenStack, then Docker containers was the favorite and trending discussion topic, then Mesos and along comes Kubernetes. It’s safe to say, at least for now, Kubernetes is settling in as a preferred open source industry and customer defecto choice (I want to say standard, however, will hold off on that for now) for container and related orchestration management. Besides, do it yourself (DiY) leveraging open source, there are also managed AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Services (AKS), Google Kubernetes Engine (GKE), and VMware Pivotal Container Service (PKS) among others. Besides Azure, Microsoft also includes Kubernetes support (along with Docker and Windows containers) as part of Windows Servers.

ManageEngine (part of Zoho) – Has data infrastructure monitoring technology called OpManager for keeping an eye on networking.

Marvel – Marvel may not be a familiar name (don’t confuse with comics), however, has been a critical component supplier to partners whose server or storage technology you may be familiar with or have yourself. Server, Storage, I/O Networking chip maker has closed on its acquisition of Cavium (who previously bought Qlogic among others). The combined company is well positioned as a key data infrastructure component supplier to various partners spanning servers, storage, I/O networking including Fibre Channel (FC), Ethernet, InfiniBand, NVMe (and NVMeoF) among others.

Mellanox – Known for their InfiniBand adapters, switches, and associated software, along with growing presence in RDMA over Converged Ethernet (RoCE), they are also well positioned for NVMe over Fabrics among other growth opportunities following recent boardroom updates, along with technology roadmap’s.

Microsoft – Azure public cloud continues to evolve similarly to AWS with more region locations, availability zone (AZ) data centers, as well as features and extensions. Microsoft also introduced about a year ago its hybrid on-prem CI/HCI cloud in a box platform appliance Azure Stack (read about my test drive here). However, there is more to Microsoft than just their current cloud first focus which means Windows (desktop), as well as Server, are also evolving. Currently, in public preview, Windows Server 2019 insiders build available to try out many new capabilities, some of which were covered in the recent free Microsoft Virtual Summit held in June. Key themes of Windows Server 2019 include security, performance, hybrid cloud, containers, software-defined storage and much more.

Microsemi – Has been around for a while is the combination of some vendors you may not have heard of or heard about in some time including PMC-Sierra (acquired Adaptec) and Vitesse among others. The reason I have Microsemi on this list is a combination of their acquisitions which might be an indicator of whom they pick up next. Another reason is that their components span data infrastructure topics from servers, storage, I/O and networking, PCIe and many more.

NVIDIA – GPU high performance compute and related compute offload technologies have been accessible for over a decade. More recently with new graphics and computational demands, GPU such as those NVIDIA are in need. Demand includes traditional graphics acceleration for physical and virtual, augmented and virtual reality, as well as cloud, along with compute-intensive analytics, AI, ML, DL along with other cognitive workloads.

NGDSystems (NGD) – Similar to what NVIDIA and other GPU vendors do for enabling compute offload for specific applications and workloads, NGD is working on a variation. That variation is to move offload compute capabilities for the server I/O storage-intensive workloads closer, in fact into storage system components such as SSDs and emerging SCMs and PMEMs. Unlike GPU based applications or workloads that tend to be more memory and compute intensive, NGD is positioned for applications that are the server I/O and storage intensive.

The premise of NGD is that they move the compute and application closer to where the data is, eliminating extra I/O, as well as reducing the amount of main server memory and compute cycles. If you are familiar with other server storage I/O offload engines and systems such as Oracle Exadata database appliance NGD is working at a tighter integration granularity. How it works is your application gets ported to run on the NGD storage platform which is SSD based and having a general-purpose processor. Your application is initiated from a host server, where it then runs on the NGD meaning I/Os are kept local to the storage system. Keep in mind that the best I/O is the one that you do not have to do, the second best is the one with the least resource or user impact.

Opvisor – Performance activity and capacity monitoring tools including for VMware environments.

Pavillon – Startup with an interesting NVMe based hardware appliance.

Quest – Having gained their independence as a free-standing company since divestiture from Dell Technologies (Dell had previously acquired Quest before EMC acquisition), Quest continues to make their data infrastructure related management tools available. Besides now being a standalone company again, keep an eye on Quest to see how they evolve their existing data protection and data infrastructure resource management tools portfolio via growth, acquisition, or, perhaps Quest will be on somebody else’s future growth list.

Retrospect – Far from being a startup, after gaining their independence from when EMC bought them several years ago, they have since continued to enhance their data protection technology. Disclosure, I have been a Retrospect customer since 2001 using it for on-site, as well as cloud data protection backups to the cloud.

Rubrik – Becoming more of a data infrastructure household name given their expanding technology portfolio and marketing efforts. More commonly known in smaller customer environments, as well as broadly within industry insider circles, Rubrik has potential with continued technology evolution to move further upmarket similar to how Commvault did back in the late 90s, just saying.

SkyScale – Cloud service provider that offers dedicated bare metal, as well as private, hybrid cloud instances along with GPU to support AI, ML, DL and other high performance,  compute workloads.

Snowflake – The name does not describe well what they do or who they are. However, they have an interesting cloud data warehouse (old school) large-scale data lakes (new school) technologies.

Strongbox – Not to be confused with technology such as those from Iosafe (e.g., waterproof, fireproof), Strongbox is a data protection storage solution for storing archives, backups, BC/BR/DR data, as well as cloud tiering. For those who are into buzzword bingo, think cloud tiering, object, cold storage among others. The technology evolved out of Crossroads and with David Cerf at the helm has branched out into a private company with keeping an eye on.

Storbyte – With longtime industry insider sales and marketing pro-Diamond Lauffin (formerly Nexsan) involved as Chief Evangelist, this is worth keeping an eye on and could be entertaining as well as exciting. In some ways it could be seen as a bit of Nexsan meets NVme meets NAND Flash meets cost-effective value storage dejavu play.

Talon – Enterprise storage and management solutions for file sharing across organizations, ROBO and cloud environments.

Ubitqui – Also known as UBNT is a data infrastructure networking vendor whose technologies span from WiFi access points (AP), high-performance antennas, routing, switching and related hardware, along with software solutions. UBNT is not as well-known in more larger environments as a Cisco or others. However, they are making a name for themselves moving from the edge to the core. That is, working from the edge with AP and routers, firewalls, gateways for the SMB, ROBO, SOHO as well as consumer (I have several of their APs, switches, routers and high-performance antennas along with management software), these technologies are also finding their way into larger environments. 

My first use of UBNT was several years ago when I needed to get an IP network connection to a remote building separated by several hundred yards of forest. The solution I found was to get a pair of UBNT NANO Apps, put them in secure bridge mode; now I have a high-performance WiFi service through a forest of trees. Since then have replaced an older Cisco router, several Cisco, and other APs, as well as the phased migration of switches.

UpdraftPlus– If you have a WordPress web or blog site, you should also have a UpdraftPlus plugin (go premium btw) for data protection. I have been using Updraft for several years on my various sites to backup and protect the MySQL databases and all other content. For those of you who are familiar with Spanning (e.g., was acquired by EMC then divested by Dell) and what they do for cloud applications, UpdraftPlus does similar for lower-end, smaller cloud-based applications.

Vexata – Startup scale out NVMe storage solution.

VMware – Expanding their cloud foundation from on-prem to in and on clouds including AWS among others. Data Infrastructure focus continues to expand from core to edge, server, storage, I/O, networking. With recent Dell Technologies and VMware declaring a dividend, should be interesting to see what lies ahead for both entities.

What About Those Not Mentioned?

By the way, if you were wondering about or why others are not in the above list, simple, check out last year’s list which includes Apcera, Blue Medora, Broadcom, Chelsio, Commvault, Compuverde, Datadog, Datrium, Docker, E8 Storage, Elastifile, Enmotus, Everspin, Excelero, Hedvig, Huawei, Intel, Kubernetes, Liqid, Maxta, Micron, Minio, NetApp, Neuvector, Noobaa, NVIDA, Pivot3, Pluribus Networks, Portwork, Rozo Systems, ScaleMP, Storpool, Stratoscale, SUSE Technology, Tidalscale, Turbonomic, Ubuntu, Veeam, Virtuozzo and WekaIO. Note that many of the above have expanded their capabilities in the past year and remain, or have become even more interesting to watch, while some might be on the future where are they now list sometime down the road. View additional vendors and service providers via our industry links and resources page here.

What About New, Emerging, Trending and Trendy Technologies

Bitcoin and Blockchain storage startups, some of which claim or would like to replace cloud storage taking on giants such as AWS S3 in the not so distant future have been popping up lately. Some of these have good and exciting stories if they can deliver on the hype along with the premise. A couple of names to drop include among others Filecoin, Maidsafe, Sia, Storj along with services from AWS, Azure, Google and a long list of others.

Besides Blockchain distributed ledgers, other technologies and trends to keep an eye on include compute processes from ARM to SoC, GPU, FPGA, ASIC for offload and specialized processing. GPU, ASIC, and FPGA are appearing in new deployments across cloud providers as they look to offload processing from their general servers to derive total effective productivity out of them. In other words, innovating by offloading to boost their effective return on investment (old ROI), as well as increase their return on innovation (the new ROI).

Other data infrastructure server I/O which also ties into storage and network trends to watch include Gen-Z that some may claim as the successor to PCIe, Ethernet, InfiniBand among others (hint, get ready for a new round of “something is dead” hype). Near-term the objective of Gen-Z is to coexist, complement PCIe, Ethernet, CPU to memory interconnect, while enabling more granular allocation of data infrastructure resources (e.g., composability). Besides watching who is part of the Gen-Z movement, keep an eye on who is not part of it yet, specifically Intel.

NVMe and its many variations from a server internal to networked NVMe over Fabrics (NVMeoF) along with its derivatives continue to gain both industry adoption, as well as customer deployment. There are some early NVMeoF based server storage deployments (along with marketing dollars). However, the server side NVMe customer adoption is where the dollars are moving to the vendors. In other words, it’s still early in the bigger broader NVMe and NVMeoF game.

Where to learn more

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

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

Software Defined Data Infrastructure Essentials Book SDDC

What this all means

Let’s see how those mentioned last year as well as this year, along with some new and emerging vendors, service providers who did not get said end up next year, as well as the years after that.

2018 Hot Popular New Trending Data Infrastructure Vendors to Watch
Different timelines of adoption and deployment for various audiences

Keep in mind that there is a difference between industry adoption and customer deployment, granted they are related. Likewise let’s see who will be at the top in three, five and ten years, which means some of the current top or favorite vendors may or may not be on the list, same with some of the established vendors. Meanwhile, check out the 2018 Hot Popular New Trending Data Infrastructure Vendors to Watch.

Ok, nuff said, for now.

Cheers Gs

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

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

Dell Technologies Announces Class V VMware Tracking Stock exchange for stock or cash

Dell Technologies Announces Class V VMware Tracking Stock exchange for stock or cash

Dell Technologies Announces Class V VMware Tracking Stock exchange for stock or cash

Dell Technologies Announces Class V VMware Tracking Stock exchange for stock or cash.

Dell Technologies Announces Class V VMware Tracking Stock exchange for stock or cash
Image via Dell Technologies

Summary of Dell transaction announcement includes:

  • VMware declares an $11 Billion USD cash dividend pro rata to all VMware stock holders.
  • Given ownership percentage of VMware, Dell Technologies will receive approximately $9 Billion USD cash dividend.
  • Dell plans to list its Class C common stock shares on the New York Stock Exchange (NYSE).
  • Dell plans to use the VMware dividend proceeds to fund cash consideration to be paid to Class V (tracking stock) shareholders.
  • For each Class V share (e.g. VMware tracking stock) shareholders can choose to receive:

    1.3665 shares of Dell Technologies Class C common stock, or
    $109 in cash per DVMT (Class V share) a 29% premium per share

Dell Announces Class V VMware Tracking Stock exchange for stock or cash
Image via Dell Technologies

Additional interest points of this transaction include:

  • Transaction expected to close Q4 CY2018, subject to Class V shareholder approval.
  • VMware maintains its independence as a separate publicly traded company.
  • Dell Technologies maintains its 81% ownership of VMware common stock
    Dell Technologies Class V (DVMT) shareholders will own 20.8% to 31.0% of Dell Class C (depending on cash election amounts).
  • Streamline Dell capital and ownership structure.
  • Establishes a public security (stock) in global end to end data infrastructure provider (e.g. Dell Technologies Stock on NYSE).
  • Enables financial flexibility for future strategic initiatives

Dell Announces Class V VMware Tracking Stock exchange for stock or cash
Image via Dell Technologies

Michael Dell and Silver Lake Continued Ownership

As part of this transaction, both Michael Dell and Silver Lake partners announce commitment to Dell Technologies. Michael Dell will continue to serve as Chairman and CEO, along with a committed stockholder beneficially owning between about 47% to 54% of Dell Technologies on a fully diluted basis. Silver Lake equity partners, an investor in Dell will continue its long-term partnership with Michael Dell beneficially owning between about 16%-18% of Dell Technologies on a fully diluted basis.

Where to learn more

Learn more about Dell Technologies, VMware, Data Infrastructures and related topics via the following links:

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

Software Defined Data Infrastructure Essentials Book SDDC

What this all means

This announcement enables Dell to streamline its financial structure, while providing VMware shareholder with a dividend value. In addition, this Dell Technologies announcement puts to rest industry discussions of what will Michael Dell along with Dell Technologies and VMware do in the future. Speaking of the future, this transaction could also page the wave for future investment or acquisitions by Dell and/or VMware. Now the question is if you are a DVMT tracking stock shareholder, do you take the $109 USD cash, or, new Class C Dell Technologies stock? Now lets see how Dell Technologies Announces Class V VMware Tracking Stock exchange for stock or cash plays out during the rest of summer and into the fall.

Ok, nuff said, for now.

Cheers Gs

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

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