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Dell Technology World 2018 Announcement Summary

Dell Technology World 2018 Announcement Summary

Dell Technology World 2018 Announcement Summary
This is part one of a five-part series about Dell Technology World 2018 announcement summary. Last week (April 30-May 3) I traveled to Las Vegas Nevada (LAS) to attend Dell Technology World 2018 (e.g., DTW 2018) as a guest of Dell (that is a disclosure btw). There were several announcements along with plenty of other activity from sessions, meetings, hallway and event networking taking place at Dell Technology World DTW 2018.

Major data infrastructure technology announcements include:

  • PowerMax all-flash array (AFA) solid state device (SSD) NVMe storage system
  • PowerEdge four-socket 2U and 4U rack servers
  • XtremIO X2 AFA SSD storage system updates
  • PowerEdge MX preview of future composable servers
  • Desktop and thin client along with other VDI updates
  • Cloud and networking enhancements

Besides the above, additional data infrastructure related announcements were made in association with Dell Technology family members including VMware along with other partners, as well as customer awards. Other updates and announcements were tied to business updates from Dell Technology, Dell Technical Capital (venture capital), and, Dell Financial Services.

Dell Technology World Buzzword Bingo Lineup

Some of the buzzword bingo terms, topics, acronyms from Dell Technology World 2018 included AFA, AI, Autonomous, Azure, Bare Metal, Big Data, Blockchain, CI, Cloud, Composable, Compression, Containers, Core, Data Analytics, Dedupe, Dell, DFS (Dell Financial Services), DFR (Data Footprint Reduction), Distributed Ledger, DL, Durability, Fabric, FPGA, GDPR, Gen-Z, GPU, HCI, HDD, HPC, Hybrid, IOP, Kubernetes, Latency, MaaS (Metal as a Service), ML, NFV, NSX, NVMe, NVMeoF, PACE (Performance Availability Capacity Economics), PCIe, Pivotal, PMEM, RAID, RPO, RTO, SAS, SATA, SC, SCM, SDDC, SDS, Socket, SSD, Stamp, TBW (Terabytes Written per day), VDI, venture capital, VMware and VR among others.

Dell Technology World 2018 Venue
Dell Technology World DTW 2018 Event and Venue

Dell Technology World 2018 was located at the combined Palazzo and Venetian hotels along with adjacent Sands Expo center kicking off Monday, April 30th and wrapping up May 4th.

The theme for Dell Technology World DTW 2018 was make it real, which in some ways was interesting given the focus on virtual including virtual reality (VR), software-defined data center (SDDC) virtualization, data infrastructure topics, along with artificial intelligence (AI).

Virtual Sky Dell Technology World 2018
Make it real – Venetian Palazzo St. Mark’s Square on the way to Sands Expo Center

There was plenty of AI, VR, SDDC along with other technologies, tools as well as some fun stuff to do including VR games.

Dell Technology World 2018 Commons Area
Dell Technology World Village Area near Key Note and Expo Halls

Dell Technology World 2018 Commons Area Drones
Dell Technology World Drone Flying Area

During a break from some meetings, I used a few minutes to fly a drone using VR which was interesting. I Have been operating drones (See some videos here) visually without dependence on first-person view (FPV) or relying on extensive autonomous operations instead flying heads up by hand for several years. Needless to say, the VR was interesting, granted encountered a bit of vertigo that I had to get used to.

Dell Technology World 2018 Commons Area Virtual Village
More views of the Dell Technology World Village and Commons Area with VR activity

Dell Technology World 2018 Commons Area Virtual Village
Dell Technology World Village and VR area

Dell Technology World 2018 Commons Area Virtual Village
Dell Technology World Bean Bag Area

Dell Technology World 2018 Announcement Summary

Ok, nuff with the AI, ML, DL, VR fun, time to move on to the business and technology topics of Dell Technologies World 2018.

What was announced at Dell Technology World 2018 included among others:

Dell Technology World 2018 PowerMax
Dell PowerMax Front View

Subsequent posts in this series take a deeper look at the various announcements as well as what they mean.

Where to learn more

Learn more about Dell Technology World 2018 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

On the surface it may appear that there was not much announced at Dell Technology World 2018 particular compared to some of the recent Dell EMC Worlds and EMC Worlds. However turns out that there was a lot announced, granted without some of the entertainment and circus like atmosphere of previous events. Continue reading here Part II Dell Technology World 2018 Modern Data Center Announcement Details in this series, along with Part III here, Part IV here (including PowerEdge MX composable infrastructure leveraging Gen-Z) and Part V (servers and converged) here.

Ok, nuff said, for now.

Cheers Gs

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

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

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Part II Dell Technology World 2018 Modern Data Center Announcement Details

Part II Dell Technology World 2018 Modern Data Center Announcement Details

Dell Technology World 2018 Modern Data Center Announcement Summary
This is Part II Dell Technology World 2018 Modern Data Center Announcement Details that is part of a five-post series (view part I here, part III here, part IV here and part V here). Last week (April 30-May 3) I traveled to Las Vegas Nevada (LAS) to attend Dell Technology World 2018 (e.g., DTW 2018) as a guest of Dell (that is a disclosure btw).

Dell Technology World 2018 Venue
Dell Technology World DTW 2018 Event and Venue

What was announced at Dell Technology World 2018 included among others:

Dell Technology World 2018 PowerMax
Dell PowerMax Front View

Dell Technology World 2018 Modern Data Center Announcement Details

Dell Technologies data infrastructure related announcements included new solutions competencies and expanded services deployment competencies with partners to boost deal size and revenues. An Internet of Things (IoT) solution competency was added with others planned including High-Performance Computing (HPC) / Super Computing (SC), Data Analytics, Business Applications and Security related topics. Dell Financial Services flexible consumption models announced at Dell EMC World 2017 provide flexible financing options for both partners as well as their clients.

Flexible Dell Financial Services cloud-like consumption model (e.g., pay for what you use) enhancements include reduced entry points for the Flex on Demand solutions across the Dell EMC storage portfolio. For example, Flex on Demand velocity pricing models for Dell EMC Unity All-Flash Array (AFA) solid state device (SSD) storage solution, and XtremIO X2 AFA systems with price points of less than USD 1,000.00 per month. The benefit is that Dell partners have a financial vehicle to help their midrange customers run consumption-based financing for all-flash storage without custom configurations resulting in faster deployment opportunities.

In other partner updates, Dell Technologies is enhancing the incentive program Dell EMC MyRewards program to help drive new business. Dell EMC MyRewards Program is an opt-in, points-based reward program for solution provider sales reps and systems engineers. MyRewards program is slated to replace the existing Partner Advantage and Sell & Earn programs with bigger and better promotions (up to 3x bonus payout, simplified global claiming).

What this means for partners is the ability to earn more while offering their clients new solutions with flexible financing and consumption-based pricing among other options. Other partner enhancements include update demo program, Proof of Concept (POC) program, and IT transformation campaigns.

Powering up the Modern Data Center and Future of Work

Powering up the modern data center along with future of work, part of the make it real theme of Dell Technologies world 2018 includes data infrastructure server, storage, I/O networking hardware, software and service solutions. These data infrastructure solutions include NVMe based storage, Converged Infrastructure (CI), hyper-converged infrastructure (HCI), software-defined data center (SDDC), VMware based multi-clouds, along with modular infrastructure resources.

In addition to server and storage data infrastructure resources form desktop to data center, Dell also has a focus of enabling traditional as well as emerging Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) as well as analytics applications. Besides providing data infrastructure resources to support AI, ML, DL, IoT and other applications along with their workloads, Dell is leveraging AI technology in some of their products for example PowerMax.

Other Dell Technologies announcements include Virtustream cloud risk management and compliance, along with Epic and SAP Digital Health healthcare software solutions. In addition to Virtustream, Dell Technologies cloud-related announcements also include VMware NSX network Virtual Cloud Network with Microsoft Azure support along with security enhancements. Refer here to recent April VMware vSphere, vCenter, vSAN, vRealize and other Virtual announcements as well as here for March VMware cloud updates.

Where to learn more

Learn more about Dell Technology World 2018 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

The above set of announcements span business to technology along with partner activity. Continue reading here (Part III Dell Technology World 2018 Storage Announcement Details) of this series, and part I (general summary) here, along with Part IV (PowerEdge MX Composable) here and part V here.

Ok, nuff said, for now.

Cheers Gs

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

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

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Part III Dell Technology World 2018 Storage Announcement Details

Part III Dell Technology World 2018 Storage Announcement Details

Part III Dell Technology World 2018 Storage Announcement Details

This is Part III Dell Technology World 2018 Storage Announcement Details that is part of a five-post series (view part I here, part II here, part IV (PowerEdge MX Composable) here and part V here). Last week (April 30-May 3) I traveled to Las Vegas Nevada (LAS) to attend Dell Technology World 2018 (e.g., DTW 2018) as a guest of Dell (that is a disclosure btw).

Dell Technology World 2018 Storage Announcements Include:

  • PowerMax – Enterprise class tier 0 and tier 1 all-flash array (AFA)
  • XtremIO X2 – Native replication and new entry-level pricing

Dell Technology World 2018 PowerMax back view
Back view of Dell PowerMax

Dell PowerMax Something Old, Something New, Something Fast Near You Soon

PowerMax is the new companion to VMAX. Positioned for traditional tier 0 and tier 1 enterprise-class applications and workloads, PowerMax is optimized for dense server virtualization and SDDC, SAP, Oracle, SQL Server along with other low-latency, high-performance database activity. Different target workloads include Mainframe as well as Open Systems, AI, ML, DL, Big Data, as well as consolidation.

The Dell PowerMax is an all-flash array (AFA) architecture with an end to end NVMe along with built-in AI and ML technology. Building on the architecture of Dell EMC VMAX (some models still available) with new faster processors, full end to end NVMe ready (e.g., front-end server attachment, back-end devices).

The AI and ML features of PowerMax PowerMaxOS include an engine (software) that learns and makes autonomous storage management decisions, as well as implementations including tiering. Other AI and ML enabled operations include performance optimizations based on I/O pattern recognition.

Other features of PowerMax besides increased speeds, feeds, performance includes data footprint reduction (DFR) inline deduplication along with enhanced compression. The DFR benefits include up to 5:1 data reduction for space efficiency, without performance impact to boost performance effectiveness. The DFR along with improved 2x rack density, along with up to 40% power savings (your results may vary) based on Dell claims to enable an impressive amount of performance, availability, capacity, economics (e.g., PACE) in a given number of cubic feet (or meters).

There are two PowerMax models including 2000 (scales from 1 to 2 redundant controllers) and 8000 (scales from 1 to 8 redundant controller nodes). Note that controller nodes are Intel Xeon multi-socket, multi-core processors enabling scale-up and scale-out performance, availability, and capacity. Competitors of the PowerMax include AFA solutions from HPE 3PAR, NetApp, and Pure Storage among others.

Dell Technology World 2018 PowerMax Front View
Front view of Dell PowerMax

Besides resiliency, data services along with data protection, Dell is claiming PowerMax is 2x faster than their nearest high-end storage system competitors with up to 150GB/sec (e.g., 1,200Gbps) of bandwidth, as well as up to 10 million IOPS with 50% lower latency compared to previous VMAX.

PowerMax is also a full end to end NVMe ready (both back-end and front-end). Back-end includes NVMe drives, devices, shelves, and enclosures) as well as front-end (future NVMe over Fabrics, e.g., NVMeoF). Being NVMeoF ready enables PowerMax to support future front-end server network connectivity options to traditional SAN Fibre Channel (FC), iSCSI among others.

PowerMax is also ready for new, emerging high speed, low-latency storage class memory (SCM).  SCM is the next generation of persistent memories (PMEM) having performance closer to traditional DRAM while persistence of flash SSD. Examples of SCM technologies entering the market include Intel Optane based on 3D XPoint, along with others such as those from Everspin among others.

IBM Z Zed Mainframe at Dell Technology World 2018
An IBM “Zed” Mainframe (in case you have never seen one)

Based on the performance claims, the Dell PowerMax has an interesting if not potentially industry leading power, performance, availability, capacity, economic footprint per cubic foot (or meter). It will be interesting to see some third-party validation or audits of Dell claims. Likewise, I look forward to seeing some real-world applied workloads of Dell PowerMax vs. other storage systems. Here are some additional perspectives Via SearchStorage: Dell EMC all-flash PowerMax replaces VMAX, injects NVMe


Dell PowerMax Visual Studio (Image via Dell.com)

To help with customer decision making, Dell has created an interactive VMAX and PowerMax configuration studio that you can use to try out as well as learn about different options here. View more Dell PowerMax speeds, feeds, slots, watts, features and functions here (PDF).

Dell Technology World 2018 XtremIO X2

XtremIO X2

Dell XtremIO X2 and XIOS 6.1 operating system (software-defined storage) enhanced with native replication across wide area networks (WAN). The new WAN replication is metadata-aware native to the XtremIO X2 that implements data footprint reduction (DFR) technology reducing the amount of data sent over network connections. The benefit is more data moved in a given amount of time along with better data protection requiring less time (and network) by only moving unique changed data.

Dell Technology World 2018 XtremIO X2 back view
Back View of XtremIO X2

Dell EMC claims to reduce WAN network bandwidth by up to 75% utilizing the new native XtremIO X2 native asynchronous replication. Also, Dell says XtremIO X2 requires up to 38% less storage space at disaster recovery and business resiliency locations while maintaining predictable recovery point objectives (RPO) of 30 seconds. Another XtremIO X2 announcement is a new entry model for customers at up to 55% lower cost than previous product generations. View more information about Dell XtremIO X2 here, along with speeds feeds here, here, as well as here.

What about Dell Midrange Storage Unity and SC?

Here are some perspectives Via SearchStorage: Dell EMC midrange storage keeps its overlapping arrays.

Dell Bulk and Elastic Cloud Storage (ECS)

One of the questions I had going into Dell Technology World 2018 was what is the status of ECS (and its predecessors Atmos as well as Centera) bulk object storage is given lack of messaging and news around it. Specifically, my concern was that if ECS is the platform for storing and managing data to be preserved for the future, what is the current status, state as well as future of ECS.

In conversations with the Dell ECS folks, ECS which has encompassed Centera functionality and it (ECS) is very much alive, stay tuned for more updates. Also, note that Centera has been EOL. However, its feature functionality has been absorbed by ECS meaning that data preserved can now be managed by ECS. While I can not divulge the details of some meeting discussions, I can say that I am comfortable (for now) with the future directions of ECS along with the data it manages, stay tuned for updates.

Dell Data Protection

What about Data Protection? Security was mentioned in several different contexts during Dell Technology World 2018, as was a strong physical security presence seen at the Palazzo and Sands venues. Likewise, there was a data protection presence at Dell Technologies World 2018 in the expo hall, as well as with various sessions.

What was heard was mainly around data protection management tools, hybrid, as well as data protection appliances and data domain-based solutions. Perhaps we will hear more from Dell Technologies World in the future about data protection related topics.

Where to learn more

Learn more about Dell Technology World 2018 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

If there was any doubt about would Dell keep EMC storage progressing forward, the above announcements help to show some examples of what they are doing. On the other hand, lets stay tuned to see what news and updates appear in the future pertaining to mid-range storage (e.g. Unity and SC) as well as Isilon, ScaleIO, Data Protection platforms as well as software among other technologies.

Continue reading part IV (PowerEdge MX Composable and Gen-Z) here in this series, as well as part I here, part II here, part IV (PowerEdge MX Composable) here, and, part V here.

Ok, nuff said, for now.

Cheers Gs

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

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

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Part IV Dell Technology World 2018 PowerEdge MX Gen-Z Composable Infrastructure

Part IV Dell Technology World 2018 PowerEdge MX Gen-Z Composable Infrastructure

Part IV Dell Technology World 2018 PowerEdge MX Gen-Z Composable Infrastructure
This is Part IV Dell Technology World 2018 PowerEdge MX Gen-Z Composable Infrastructure that is part of a five-post series (view part I here, part II here, part III here and part V here). Last week (April 30-May 3) I traveled to Las Vegas Nevada (LAS) to attend Dell Technology World 2018 (e.g., DTW 2018) as a guest of Dell (that is a disclosure btw).

Introducing PowerEdge MX Composable Infrastructure (the other CI)

Dell announced at Dell Technology World 2018 a preview of the new PowerEdge MX (kinetic) family of data infrastructure resource servers. PowerEdge MX is being developed to meet the needs of resource-centric data infrastructures that require scalability, as well as performance availability, capacity, economic (PACE) flexibility for diverse workloads. Read more about Dell PowerEdge MX, Gen-Z and composable infrastructures (the other CI) here.

Some of the workloads being targeted by PowerEdge MX include large-scale dense SDDC virtualization (and containers), private (or public clouds by service providers). Other workloads include AI, ML, DL, data analytics, HPC, SC, big data, in-memory database, software-defined storage (SDS), software-defined networking (SDN), network function virtualization (NFV) among others.

The new PowerEdge MX previewed will be announced later in 2018 featuring a flexible, decomposable, as well as composable architecture that enables resources to be disaggregated and reassigned or aggregated to meet particular needs (e.g., defined or composed). Instead of traditional software defined virtualization carving up servers in smaller virtual machines or containers to meet workload needs, PowerEdge MX is part of a next-generation approach to enable server resources to be leveraged at a finer granularity.

For example, today an entire server including all of its sockets, cores, memory, PCIe devices among other resources get allocated and defined for use. A server gets defined for use by an operating system when bare metal (or Metal as a Service) or a hypervisor. PowerEdge MX (and other platforms expected to enter the market) have a finer granularity where with a proper upper layer (or higher altitude) software resources can be allocated and defined to meet different needs.

What this means is the potential to allocate resources to a given server with more granularity and flexibility, as well as combine multiple server’s resources to create what appears to be a more massive server. There are vendors in the market who have been working on and enabling this type of approach for several years ranging from ScaleMP to startup Liqid and Tidal among others. However, at the heart of the Dell PowerEdge MX is the new emerging Gen-Z technology.

If you are not familiar with Gen-Z, add it to your buzzword bingo lineup and learn about it as it is coming your way. A brief overview of Gen-Z consortium and Gen-Z material and primer information here. A common question is if Gen-Z is a replacement for PCIe which for now is that they will coexist and complement each other. Another common question is if Gen-Z will replace Ethernet and InfiniBand and the answer is for now they complement each other. Another question is if Gen-Z will replace Intel Quick Path and another CPU device and memory interconnects and the answer is potentially, and in my opinion, watch to see how long Intel drags its feet.

Note that composability is another way of saying defined without saying defined, something to pay attention too as well as have some vendor fun with. Also, note that Dell is referent to PowerEdge MX and Kinetic architecture which is not the same as the Seagate Kinetic Ethernet-based object key value accessed drive initiative from a few years ago (learn more about Seagate Kinetic here). Learn more about Gen-Z and what Dell is doing here.

Where to learn more

Learn more about Dell Technology World 2018 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

Dell has provided a glimpse of what they are working on pertaining composable infrastructure, the other CI, as well as Gen-Z and related next generation of servers with PowerEdge MX as well as Kinetic. Stay tuned for more about Gen-Z and composable infrastructures. Continue reading Part V (servers converged) in this series here, as well as part I here, part II here and part III here.

Ok, nuff said, for now.

Cheers Gs

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

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

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Application Data Value Characteristics Everything Is Not The Same (Part I)

Application Data Value Characteristics Everything Is Not The Same

Application Data Value Characteristics Everything Is Not The Same

Application Data Value Characteristics Everything Is Not The Same

This is part one of a five-part mini-series looking at Application Data Value Characteristics Everything Is Not The Same as a companion excerpt from chapter 2 of my new book Software Defined Data Infrastructure Essentials – Cloud, Converged and Virtual Fundamental Server Storage I/O Tradecraft (CRC Press 2017). available at Amazon.com and other global venues. In this post, we start things off by looking at general application server storage I/O characteristics that have an impact on data value as well as access.

Application Data Value Software Defined Data Infrastructure Essentials Book SDDC

Everything is not the same across different organizations including Information Technology (IT) data centers, data infrastructures along with the applications as well as data they support. For example, there is so-called big data that can be many small files, objects, blobs or data and bit streams representing telemetry, click stream analytics, logs among other information.

Keep in mind that applications impact how data is accessed, used, processed, moved and stored. What this means is that a focus on data value, access patterns, along with other related topics need to also consider application performance, availability, capacity, economic (PACE) attributes.

If everything is not the same, why is so much data along with many applications treated the same from a PACE perspective?

Data Infrastructure resources including servers, storage, networks might be cheap or inexpensive, however, there is a cost to managing them along with data.

Managing includes data protection (backup, restore, BC, DR, HA, security) along with other activities. Likewise, there is a cost to the software along with cloud services among others. By understanding how applications use and interact with data, smarter, more informed data management decisions can be made.

IT Applications and Data Infrastructure Layers
IT Applications and Data Infrastructure Layers

Keep in mind that everything is not the same across various organizations, data centers, data infrastructures, data and the applications that use them. Also keep in mind that programs (e.g. applications) = algorithms (code) + data structures (how data defined and organized, structured or unstructured).

There are traditional applications, along with those tied to Internet of Things (IoT), Artificial Intelligence (AI) and Machine Learning (ML), Big Data and other analytics including real-time click stream, media and entertainment, security and surveillance, log and telemetry processing among many others.

What this means is that there are many different application with various character attributes along with resource (server compute, I/O network and memory, storage requirements) along with service requirements.

Common Applications Characteristics

Different applications will have various attributes, in general, as well as how they are used, for example, database transaction activity vs. reporting or analytics, logs and journals vs. redo logs, indices, tables, indices, import/export, scratch and temp space. Performance, availability, capacity, and economics (PACE) describes the applications and data characters and needs shown in the following figure.

Application and data PACE attributes
Application PACE attributes (via Software Defined Data Infrastructure Essentials)

All applications have PACE attributes, however:

  • PACE attributes vary by application and usage
  • Some applications and their data are more active than others
  • PACE characteristics may vary within different parts of an application

Think of applications along with associated data PACE as its personality or how it behaves, what it does, how it does it, and when, along with value, benefit, or cost as well as quality-of-service (QoS) attributes.

Understanding applications in different environments, including data values and associated PACE attributes, is essential for making informed server, storage, I/O decisions and data infrastructure decisions. Data infrastructures decisions range from configuration to acquisitions or upgrades, when, where, why, and how to protect, and how to optimize performance including capacity planning, reporting, and troubleshooting, not to mention addressing budget concerns.

Primary PACE attributes for active and inactive applications and data are:

P – Performance and activity (how things get used)
A – Availability and durability (resiliency and data protection)
C – Capacity and space (what things use or occupy)
E – Economics and Energy (people, budgets, and other barriers)

Some applications need more performance (server computer, or storage and network I/O), while others need space capacity (storage, memory, network, or I/O connectivity). Likewise, some applications have different availability needs (data protection, durability, security, resiliency, backup, business continuity, disaster recovery) that determine the tools, technologies, and techniques to use.

Budgets are also nearly always a concern, which for some applications means enabling more performance per cost while others are focused on maximizing space capacity and protection level per cost. PACE attributes also define or influence policies for QoS (performance, availability, capacity), as well as thresholds, limits, quotas, retention, and disposition, among others.

Performance and Activity (How Resources Get Used)

Some applications or components that comprise a larger solution will have more performance demands than others. Likewise, the performance characteristics of applications along with their associated data will also vary. Performance applies to the server, storage, and I/O networking hardware along with associated software and applications.

For servers, performance is focused on how much CPU or processor time is used, along with memory and I/O operations. I/O operations to create, read, update, or delete (CRUD) data include activity rate (frequency or data velocity) of I/O operations (IOPS). Other considerations include the volume or amount of data being moved (bandwidth, throughput, transfer), response time or latency, along with queue depths.

Activity is the amount of work to do or being done in a given amount of time (seconds, minutes, hours, days, weeks), which can be transactions, rates, IOPs. Additional performance considerations include latency, bandwidth, throughput, response time, queues, reads or writes, gets or puts, updates, lists, directories, searches, pages views, files opened, videos viewed, or downloads.
 
Server, storage, and I/O network performance include:

  • Processor CPU usage time and queues (user and system overhead)
  • Memory usage effectiveness including page and swap
  • I/O activity including between servers and storage
  • Errors, retransmission, retries, and rebuilds

the following figure shows a generic performance example of data being accessed (mixed reads, writes, random, sequential, big, small, low and high-latency) on a local and a remote basis. The example shows how for a given time interval (see lower right), applications are accessing and working with data via different data streams in the larger image left center. Also shown are queues and I/O handling along with end-to-end (E2E) response time.

fundamental server storage I/O
Server I/O performance fundamentals (via Software Defined Data Infrastructure Essentials)

Click here to view a larger version of the above figure.

Also shown on the left in the above figure is an example of E2E response time from the application through the various data infrastructure layers, as well as, lower center, the response time from the server to the memory or storage devices.

Various queues are shown in the middle of the above figure which are indicators of how much work is occurring, if the processing is keeping up with the work or causing backlogs. Context is needed for queues, as they exist in the server, I/O networking devices, and software drivers, as well as in storage among other locations.

Some basic server, storage, I/O metrics that matter include:

  • Queue depth of I/Os waiting to be processed and concurrency
  • CPU and memory usage to process I/Os
  • I/O size, or how much data can be moved in a given operation
  • I/O activity rate or IOPs = amount of data moved/I/O size per unit of time
  • Bandwidth = data moved per unit of time = I/O size × I/O rate
  • Latency usually increases with larger I/O sizes, decreases with smaller requests
  • I/O rates usually increase with smaller I/O sizes and vice versa
  • Bandwidth increases with larger I/O sizes and vice versa
  • Sequential stream access data may have better performance than some random access data
  • Not all data is conducive to being sequential stream, or random
  • Lower response time is better, higher activity rates and bandwidth are better

Queues with high latency and small I/O size or small I/O rates could indicate a performance bottleneck. Queues with low latency and high I/O rates with good bandwidth or data being moved could be a good thing. An important note is to look at several metrics, not just IOPs or activity, or bandwidth, queues, or response time. Also, keep in mind that metrics that matter for your environment may be different from those for somebody else.

Something to keep in perspective is that there can be a large amount of data with low performance, or a small amount of data with high-performance, not to mention many other variations. The important concept is that as space capacity scales, that does not mean performance also improves or vice versa, after all, everything is not the same.

Where to learn more

Learn more about Application Data Value, application characteristics, PACE along with data protection, software defined data center (SDDC), software defined data infrastructures (SDDI) and related topics via the following links:

SDDC Data Infrastructure

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

Software Defined Data Infrastructure Essentials Book SDDC

What this all means and wrap-up

Keep in mind that with Application Data Value Characteristics Everything Is Not The Same across various organizations, data centers, data infrastructures spanning legacy, cloud and other software defined data center (SDDC) environments. However all applications have some element (high or low) of performance, availability, capacity, economic (PACE) along with various similarities. Likewise data has different value at various times. Continue reading the next post (Part II Application Data Availability Everything Is Not The Same) in this five-part mini-series here.

Ok, nuff said, for now.

Gs

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

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

Posted on

Application Data Availability 4 3 2 1 Data Protection

Application Data Availability 4 3 2 1 Data Protection

4 3 2 1 data protection Application Data Availability Everything Is Not The Same

Application Data Availability 4 3 2 1 Data Protection

This is part two of a five-part mini-series looking at Application Data Value Characteristics everything is not the same as a companion excerpt from chapter 2 of my new book Software Defined Data Infrastructure Essentials – Cloud, Converged and Virtual Fundamental Server Storage I/O Tradecraft (CRC Press 2017). available at Amazon.com and other global venues. In this post, we continue looking at application performance, availability, capacity, economic (PACE) attributes that have an impact on data value as well as availability.

4 3 2 1 data protection Book SDDC

Availability (Accessibility, Durability, Consistency)

Just as there are many different aspects and focus areas for performance, there are also several facets to availability. Note that applications performance requires availability and availability relies on some level of performance.

Availability is a broad and encompassing area that includes data protection to protect, preserve, and serve (backup/restore, archive, BC, BR, DR, HA) data and applications. There are logical and physical aspects of availability including data protection as well as security including key management (manage your keys or authentication and certificates) and permissions, among other things.

Availability = accessibility (can you get to your application and data) + durability (is the data intact and consistent). This includes basic Reliability, Availability, Serviceability (RAS), as well as high availability, accessibility, and durability. “Durable” has multiple meanings, so context is important. Durable means how data infrastructure resources hold up to, survive, and tolerate wear and tear from use (i.e., endurance), for example, Flash SSD or mechanical devices such as Hard Disk Drives (HDDs). Another context for durable refers to data, meaning how many copies in various places.

Server, storage, and I/O network availability topics include:

  • Resiliency and self-healing to tolerate failure or disruption
  • Hardware, software, and services configured for resiliency
  • Accessibility to reach or be reached for handling work
  • Durability and consistency of data to be available for access
  • Protection of data, applications, and assets including security

Additional server I/O and data infrastructure along with storage topics include:

  • Backup/restore, replication, snapshots, sync, and copies
  • Basic Reliability, Availability, Serviceability, HA, fail over, BC, BR, and DR
  • Alternative paths, redundant components, and associated software
  • Applications that are fault-tolerant, resilient, and self-healing
  • Non disruptive upgrades, code (application or software) loads, and activation
  • Immediate data consistency and integrity vs. eventual consistency
  • Virus, malware, and other data corruption or loss prevention

From a data protection standpoint, the fundamental rule or guideline is 4 3 2 1, which means having at least four copies consisting of at least three versions (different points in time), at least two of which are on different systems or storage devices and at least one of those is off-site (on-line, off-line, cloud, or other). There are many variations of the 4 3 2 1 rule shown in the following figure along with approaches on how to manage technology to use. We will go into deeper this subject in later chapters. For now, remember the following.

large version application server storage I/O
4 3 2 1 data protection (via Software Defined Data Infrastructure Essentials)

4    At least four copies of data (or more), Enables durability in case a copy goes bad, deleted, corrupted, failed device, or site.
3    The number (or more) versions of the data to retain, Enables various recovery points in time to restore, resume, restart from.
2    Data located on two or more systems (devices or media/mediums), Enables protection against device, system, server, file system, or other fault/failure.

1    With at least one of those copies being off-premise and not live (isolated from active primary copy), Enables resiliency across sites, as well as space, time, distance gap for protection.

Capacity and Space (What Gets Consumed and Occupied)

In addition to being available and accessible in a timely manner (performance), data (and applications) occupy space. That space is memory in servers, as well as using available consumable processor CPU time along with I/O (performance) including over networks.

Data and applications also consume storage space where they are stored. In addition to basic data space, there is also space consumed for metadata as well as protection copies (and overhead), application settings, logs, and other items. Another aspect of capacity includes network IP ports and addresses, software licenses, server, storage, and network bandwidth or service time.

Server, storage, and I/O network capacity topics include:

  • Consumable time-expiring resources (processor time, I/O, network bandwidth)
  • Network IP and other addresses
  • Physical resources of servers, storage, and I/O networking devices
  • Software licenses based on consumption or number of users
  • Primary and protection copies of data and applications
  • Active and standby data infrastructure resources and sites
  • Data footprint reduction (DFR) tools and techniques for space optimization
  • Policies, quotas, thresholds, limits, and capacity QoS
  • Application and database optimization

DFR includes various techniques, technologies, and tools to reduce the impact or overhead of protecting, preserving, and serving more data for longer periods of time. There are many different approaches to implementing a DFR strategy, since there are various applications and data.

Common DFR techniques and technologies include archiving, backup modernization, copy data management (CDM), clean up, compress, and consolidate, data management, deletion and dedupe, storage tiering, RAID (including parity-based, erasure codes , local reconstruction codes [LRC] , and Reed-Solomon , Ceph Shingled Erasure Code (SHEC ), among others), along with protection configurations along with thin-provisioning, among others.

DFR can be implemented in various complementary locations from row-level compression in database or email to normalized databases, to file systems, operating systems, appliances, and storage systems using various techniques.

Also, keep in mind that not all data is the same; some is sparse, some is dense, some can be compressed or deduped while others cannot. Likewise, some data may not be compressible or dedupable. However, identical copies can be identified with links created to a common copy.

Economics (People, Budgets, Energy and other Constraints)

If one thing in life and technology that is constant is change, then the other constant is concern about economics or costs. There is a cost to enable and maintain a data infrastructure on premise or in the cloud, which exists to protect, preserve, and serve data and information applications.

However, there should also be a benefit to having the data infrastructure to house data and support applications that provide information to users of the services. A common economic focus is what something costs, either as up-front capital expenditure (CapEx) or as an operating expenditure (OpEx) expense, along with recurring fees.

In general, economic considerations include:

  • Budgets (CapEx and OpEx), both up front and in recurring fees
  • Whether you buy, lease, rent, subscribe, or use free and open sources
  • People time needed to integrate and support even free open-source software
  • Costs including hardware, software, services, power, cooling, facilities, tools
  • People time includes base salary, benefits, training and education

Where to learn more

Learn more about Application Data Value, application characteristics, PACE along with data protection, software defined data center (SDDC), software defined data infrastructures (SDDI) and related topics via the following links:

SDDC Data Infrastructure

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

Software Defined Data Infrastructure Essentials Book SDDC

What this all means and wrap-up

Keep in mind that with Application Data Value Characteristics Everything Is Not The Same across various organizations, data centers, data infrastructures spanning legacy, cloud and other software defined data center (SDDC) environments. All applications have some element of performance, availability, capacity, economic (PACE) needs as well as resource demands. There is often a focus around data storage about storage efficiency and utilization which is where data footprint reduction (DFR) techniques, tools, trends and as well as technologies address capacity requirements. However with data storage there is also an expanding focus around storage effectiveness also known as productivity tied to performance, along with availability including 4 3 2 1 data protection. Continue reading the next post (Part III Application Data Characteristics Types Everything Is Not The Same) in this series here.

Ok, nuff said, for now.

Gs

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

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

Posted on

Application Data Characteristics Types Everything Is Not The Same

Application Data Characteristics Types Everything Is Not The Same

Application Data Characteristics Types Everything Is Not The Same

Application Data Characteristics Types Everything Is Not The Same

This is part three of a five-part mini-series looking at Application Data Value Characteristics everything is not the same as a companion excerpt from chapter 2 of my new book Software Defined Data Infrastructure Essentials – Cloud, Converged and Virtual Fundamental Server Storage I/O Tradecraft (CRC Press 2017). available at Amazon.com and other global venues. In this post, we continue looking at application and data characteristics with a focus on different types of data. There is more to data than simply being big data, fast data, big fast or unstructured, structured or semistructured, some of which has been touched on in this series, with more to follow. Note that there is also data in terms of the programs, applications, code, rules, policies as well as configuration settings, metadata along with other items stored.

Application Data Value Software Defined Data Infrastructure Essentials Book SDDC

Various Types of Data

Data types along with characteristics include big data, little data, fast data, and old as well as new data with a different value, life-cycle, volume and velocity. There are data in files and objects that are big representing images, figures, text, binary, structured or unstructured that are software defined by the applications that create, modify and use them.

There are many different types of data and applications to meet various business, organization, or functional needs. Keep in mind that applications are based on programs which consist of algorithms and data structures that define the data, how to use it, as well as how and when to store it. Those data structures define data that will get transformed into information by programs while also being stored in memory and on data stored in various formats.

Just as various applications have different algorithms, they also have different types of data. Even though everything is not the same in all environments, or even how the same applications get used across various organizations, there are some similarities. Even though there are different types of applications and data, there are also some similarities and general characteristics. Keep in mind that information is the result of programs (applications and their algorithms) that process data into something useful or of value.

Data typically has a basic life cycle of:

  • Creation and some activity, including being protected
  • Dormant, followed by either continued activity or going inactive
  • Disposition (delete or remove)

In general, data can be

  • Temporary, ephemeral or transient
  • Dynamic or changing (“hot data”)
  • Active static on-line, near-line, or off-line (“warm-data”)
  • In-active static on-line or off-line (“cold data”)

Data is organized

  • Structured
  • Semi-structured
  • Unstructured

General data characteristics include:

  • Value = From no value to unknown to some or high value
  • Volume = Amount of data, files, objects of a given size
  • Variety = Various types of data (small, big, fast, structured, unstructured)
  • Velocity = Data streams, flows, rates, load, process, access, active or static

The following figure shows how different data has various values over time. Data that has no value today or in the future can be deleted, while data with unknown value can be retained.

Different data with various values over time

Application Data Value across sddc
Data Value Known, Unknown and No Value

General characteristics include the value of the data which in turn determines its performance, availability, capacity, and economic considerations. Also, data can be ephemeral (temporary) or kept for longer periods of time on persistent, non-volatile storage (you do not lose the data when power is turned off). Examples of temporary scratch include work and scratch areas such as where data gets imported into, or exported out of, an application or database.

Data can also be little, big, or big and fast, terms which describe in part the size as well as volume along with the speed or velocity of being created, accessed, and processed. The importance of understanding characteristics of data and how their associated applications use them is to enable effective decision-making about performance, availability, capacity, and economics of data infrastructure resources.

Data Value

There is more to data storage than how much space capacity per cost.

All data has one of three basic values:

  • No value = ephemeral/temp/scratch = Why keep it?
  • Some value = current or emerging future value, which can be low or high = Keep
  • Unknown value = protect until value is unlocked, or no remaining value

In addition to the above basic three, data with some value can also be further subdivided into little value, some value, or high value. Of course, you can keep subdividing into as many more or different categories as needed, after all, everything is not always the same across environments.

Besides data having some value, that value can also change by increasing or decreasing in value over time or even going from unknown to a known value, known to unknown, or to no value. Data with no value can be discarded, if in doubt, make and keep a copy of that data somewhere safe until its value (or lack of value) is fully known and understood.

The importance of understanding the value of data is to enable effective decision-making on where and how to protect, preserve, and cost-effectively store the data. Note that cost-effective does not necessarily mean the cheapest or lowest-cost approach, rather it means the way that aligns with the value and importance of the data at a given point in time.

Where to learn more

Learn more about Application Data Value, application characteristics, PACE along with data protection, software-defined data center (SDDC), software-defined data infrastructures (SDDI) and related topics via the following links:

SDDC Data Infrastructure

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

Software Defined Data Infrastructure Essentials Book SDDC

What this all means and wrap-up

Data has different value at various times, and that value is also evolving. Everything Is Not The Same across various organizations, data centers, data infrastructures spanning legacy, cloud and other software defined data center (SDDC) environments. Continue reading the next post (Part IV Application Data Volume Velocity Variety Everything Not The Same) in this series here.

Ok, nuff said, for now.

Gs

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

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

Posted on

Application Data Volume Velocity Variety Everything Is Not The Same

Application Data Volume Velocity Variety Everything Not The Same

Application Data Volume Velocity Variety Everything Is Not The Same

Application Data Volume Velocity Variety Everything Not The Same

This is part four of a five-part mini-series looking at Application Data Value Characteristics everything is not the same as a companion excerpt from chapter 2 of my new book Software Defined Data Infrastructure Essentials – Cloud, Converged and Virtual Fundamental Server Storage I/O Tradecraft (CRC Press 2017). available at Amazon.com and other global venues. In this post, we continue looking at application and data characteristics with a focus on data volume velocity and variety, after all, everything is not the same, not to mention many different aspects of big data as well as little data.

Application Data Value Software Defined Data Infrastructure Essentials Book SDDC

Volume of Data

More data is growing at a faster rate every day, and that data is being retained for longer periods. Some data being retained has known value, while a growing amount of data has an unknown value. Data is generated or created from many sources, including mobile devices, social networks, web-connected systems or machines, and sensors including IoT and IoD. Besides where data is created from, there are also many consumers of data (applications) that range from legacy to mobile, cloud, IoT among others.

Unknown-value data may eventually have value in the future when somebody realizes that he can do something with it, or a technology tool or application becomes available to transform the data with unknown value into valuable information.

Some data gets retained in its native or raw form, while other data get processed by application program algorithms into summary data, or is curated and aggregated with other data to be transformed into new useful data. The figure below shows, from left to right and front to back, more data being created, and that data also getting larger over time. For example, on the left are two data items, objects, files, or blocks representing some information.

In the center of the following figure are more columns and rows of data, with each of those data items also becoming larger. Moving farther to the right, there are yet more data items stacked up higher, as well as across and farther back, with those items also being larger. The following figure can represent blocks of storage, files in a file system, rows, and columns in a database or key-value repository, or objects in a cloud or object storage system.

Application Data Value sddc
Increasing data velocity and volume, more data and data getting larger

In addition to more data being created, some of that data is relatively small in terms of the records or data structure entities being stored. However, there can be a large quantity of those smaller data items. In addition to the amount of data, as well as the size of the data, protection or overhead copies of data are also kept.

Another dimension is that data is also getting larger where the data structures describing a piece of data for an application have increased in size. For example, a still photograph was taken with a digital camera, cell phone, or another mobile handheld device, drone, or other IoT device, increases in size with each new generation of cameras as there are more megapixels.

Variety of Data

In addition to having value and volume, there are also different varieties of data, including ephemeral (temporary), persistent, primary, metadata, structured, semi-structured, unstructured, little, and big data. Keep in mind that programs, applications, tools, and utilities get stored as data, while they also use, create, access, and manage data.

There is also primary data and metadata, or data about data, as well as system data that is also sometimes referred to as metadata. Here is where context comes into play as part of tradecraft, as there can be metadata describing data being used by programs, as well as metadata about systems, applications, file systems, databases, and storage systems, among other things, including little and big data.

Context also matters regarding big data, as there are applications such as statistical analysis software and Hadoop, among others, for processing (analyzing) large amounts of data. The data being processed may not be big regarding the records or data entity items, but there may be a large volume. In addition to big data analytics, data, and applications, there is also data that is very big (as well as large volumes or collections of data sets).

For example, video and audio, among others, may also be referred to as big fast data, or large data. A challenge with larger data items is the complexity of moving over the distance promptly, as well as processing requiring new approaches, algorithms, data structures, and storage management techniques.

Likewise, the challenges with large volumes of smaller data are similar in that data needs to be moved, protected, preserved, and served cost-effectively for long periods of time. Both large and small data are stored (in memory or storage) in various types of data repositories.

In general, data in repositories is accessed locally, remotely, or via a cloud using:

  • Object and blobs stream, queue, and Application Programming Interface (API)
  • File-based using local or networked file systems
  • Block-based access of disk partitions, LUNs (logical unit numbers), or volumes

The following figure shows varieties of application data value including (left) photos or images, audio, videos, and various log, event, and telemetry data, as well as (right) sparse and dense data.

Application Data Value bits bytes blocks blobs bitstreams sddc
Varieties of data (bits, bytes, blocks, blobs, and bitstreams)

Velocity of Data

Data, in addition to having value (known, unknown, or none), volume (size and quantity), and variety (structured, unstructured, semi structured, primary, metadata, small, big), also has velocity. Velocity refers to how fast (or slowly) data is accessed, including being stored, retrieved, updated, scanned, or if it is active (updated, or fixed static) or dormant and inactive. In addition to data access and life cycle, velocity also refers to how data is used, such as random or sequential or some combination. Think of data velocity as how data, or streams of data, flow in various ways.

Velocity also describes how data is used and accessed, including:

  • Active (hot), static (warm and WORM), or dormant (cold)
  • Random or sequential, read or write-accessed
  • Real-time (online, synchronous) or time-delayed

Why this matters is that by understanding and knowing how applications use data, or how data is accessed via applications, you can make informed decisions. Also, having insight enables how to design, configure, and manage servers, storage, and I/O resources (hardware, software, services) to meet various needs. Understanding Application Data Value including the velocity of the data both for when it is created as well as when used is important for aligning the applicable performance techniques and technologies.

Where to learn more

Learn more about Application Data Value, application characteristics, performance, availability, capacity, economic (PACE) along with data protection, software-defined data center (SDDC), software-defined data infrastructures (SDDI) and related topics via the following links:

SDDC Data Infrastructure

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

Software Defined Data Infrastructure Essentials Book SDDC

What this all means and wrap-up

Data has different value, size, as well as velocity as part of its characteristic including how used by various applications. Keep in mind that with Application Data Value Characteristics Everything Is Not The Same across various organizations, data centers, data infrastructures spanning legacy, cloud and other software defined data center (SDDC) environments. Continue reading the next post (Part V Application Data Access life cycle Patterns Everything Is Not The Same) in this series here.

Ok, nuff said, for now.

Gs

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

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

Posted on

Application Data Access Lifecycle Patterns Everything Is Not The Same

Application Data Access Life cycle Patterns Everything Is Not The Same(Part V)

Application Data Access Life cycle Patterns Everything Is Not The Same

Application Data Access Life cycle Patterns Everything Is Not The Same

This is part five of a five-part mini-series looking at Application Data Value Characteristics everything is not the same as a companion excerpt from chapter 2 of my new book Software Defined Data Infrastructure Essentials – Cloud, Converged and Virtual Fundamental Server Storage I/O Tradecraft (CRC Press 2017). available at Amazon.com and other global venues. In this post, we look at various application and data lifecycle patterns as well as wrap up this series.

Application Data Value Software Defined Data Infrastructure Essentials Book SDDC

Active (Hot), Static (Warm and WORM), or Dormant (Cold) Data and Lifecycles

When it comes to Application Data Value, a common question I hear is why not keep all data?

If the data has value, and you have a large enough budget, why not? On the other hand, most organizations have a budget and other constraints that determine how much and what data to retain.

Another common question I get asked (or told) it isn’t the objective to keep less data to cut costs?

If the data has no value, then get rid of it. On the other hand, if data has value or unknown value, then find ways to remove the cost of keeping more data for longer periods of time so its value can be realized.

In general, the data life cycle (called by some cradle to grave, birth or creation to disposition) is created, save and store, perhaps update and read with changing access patterns over time, along with value. During that time, the data (which includes applications and their settings) will be protected with copies or some other technique, and eventually disposed of.

Between the time when data is created and when it is disposed of, there are many variations of what gets done and needs to be done. Considering static data for a moment, some applications and their data, or data and their applications, create data which is for a short period, then goes dormant, then is active again briefly before going cold (see the left side of the following figure). This is a classic application, data, and information life-cycle model (ILM), and tiering or data movement and migration that still applies for some scenarios.

Application Data Value
Changing data access patterns for different applications

However, a newer scenario over the past several years that continues to increase is shown on the right side of the above figure. In this scenario, data is initially active for updates, then goes cold or WORM (Write Once/Read Many); however, it warms back up as a static reference, on the web, as big data, and for other uses where it is used to create new data and information.

Data, in addition to its other attributes already mentioned, can be active (hot), residing in a memory cache, buffers inside a server, or on a fast storage appliance or caching appliance. Hot data means that it is actively being used for reads or writes (this is what the term Heat map pertains to in the context of the server, storage data, and applications. The heat map shows where the hot or active data is along with its other characteristics.

Context is important here, as there are also IT facilities heat maps, which refer to physical facilities including what servers are consuming power and generating heat. Note that some current and emerging data center infrastructure management (DCIM) tools can correlate the physical facilities power, cooling, and heat to actual work being done from an applications perspective. This correlated or converged management view enables more granular analysis and effective decision-making on how to best utilize data infrastructure resources.

In addition to being hot or active, data can be warm (not as heavily accessed) or cold (rarely if ever accessed), as well as online, near-line, or off-line. As their names imply, warm data may occasionally be used, either updated and written, or static and just being read. Some data also gets protected as WORM data using hardware or software technologies. WORM (immutable) data, not to be confused with warm data, is fixed or immutable (cannot be changed).

When looking at data (or storage), it is important to see when the data was created as well as when it was modified. However, you should avoid the mistake of looking only at when it was created or modified: Instead, also look to see when it was the last read, as well as how often it is read. You might find that some data has not been updated for several years, but it is still accessed several times an hour or minute. Also, keep in mind that the metadata about the actual data may be being updated, even while the data itself is static.

Also, look at your applications characteristics as well as how data gets used, to see if it is conducive to caching or automated tiering based on activity, events, or time. For example, there is a large amount of data for an energy or oil exploration project that normally sits on slower lower-cost storage, but that now and then some analysis needs to run on.

Using data and storage management tools, given notice or based on activity, which large or big data could be promoted to faster storage, or applications migrated to be closer to the data to speed up processing. Another example is weekly, monthly, quarterly, or year-end processing of financial, accounting, payroll, inventory, or enterprise resource planning (ERP) schedules. Knowing how and when the applications use the data, which is also understanding the data, automated tools, and policies, can be used to tier or cache data to speed up processing and thereby boost productivity.

All applications have performance, availability, capacity, economic (PACE) attributes, however:

  • PACE attributes vary by Application Data Value and usage
  • Some applications and their data are more active than others
  • PACE characteristics may vary within different parts of an application
  • PACE application and data characteristics along with value change over time

Read more about Application Data Value, PACE and application characteristics in Software Defined Data Infrastructure Essentials (CRC Press 2017).

Where to learn more

Learn more about Application Data Value, application characteristics, PACE along with data protection, software defined data center (SDDC), software defined data infrastructures (SDDI) and related topics via the following links:

SDDC Data Infrastructure

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

Software Defined Data Infrastructure Essentials Book SDDC

What this all means and wrap-up

Keep in mind that Application Data Value everything is not the same across various organizations, data centers, data infrastructures, data and the applications that use them.

Also keep in mind that there is more data being created, the size of those data items, files, objects, entities, records are also increasing, as well as the speed at which they get created and accessed. The challenge is not just that there is more data, or data is bigger, or accessed faster, it’s all of those along with changing value as well as diverse applications to keep in perspective. With new Global Data Protection Regulations (GDPR) going into effect May 25, 2018, now is a good time to assess and gain insight into what data you have, its value, retention as well as disposition policies.

Remember, there are different data types, value, life-cycle, volume and velocity that change over time, and with Application Data Value Everything Is Not The Same, so why treat and manage everything the same?

Ok, nuff said, for now.

Gs

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

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

Posted on

November 2017 Server StorageIO Data Infrastructure Update Newsletter

Volume 17, Issue 11 (November 2017)

Hello and welcome to the November 2017 issue of the Server StorageIO update newsletter.

Software-Defined Data Infrastructure Essentials SDDI SDDC

2017 has a few more weeks left which look to be busy with end of year, holidays and other activities. Like the rest of 2017 November saw a lot of activity in and around the industry, setting up 2018 as yet another sequel to the busiest and most exciting year ever.

This is also the time of year when predictions for the following year (e.g. 2018) start to roll out, some of which are variations from those of the past or perennial favorites (e.g. the year of flash, the year of cloud, the year of software defined, the year of <insert_your_favorite_item_here>. Look for predictions and perspectives in future posts and newsletters.

Having been a busy month, let’s get to the content…

In This Issue

Enjoy this edition of the Server StorageIO data infrastructure update newsletter.

Cheers GS

Data Infrastructure and IT Industry Activity Trends

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

On the heals of completing its acquisition of Brocade (note previously Avago (who bought LSI) also bought Broadcom and then changed its name to the more well-known entity. Broadcom also announced relocating it headquarters from Singapore to the US, along an over $100 Billion USD acquisition offer of Qualcomm (here is interesting perspective Apple might play). Broadcom has been focused more on server, storage, I/O and general networking technology, while Qualcomm on mobile including phones and related items. Note that Qualcomm has previously made a $38.5 Billion USD offer for NXP semiconductors waiting regularity approval. View recent Broadcom financial results here.

Also in November server storage I/O controller chip maker Marvell (not to be confused with entertainment provider Marvel) announced a merger with Cavium who had previously acquired Qlogic among others. The resulting combined entity to be called Marvell will have an estimated $16 Billion USD revenue stream focused on server, storage, I/O and networking technologies among others.

In other merger and acquisition activity, VMware announced acquisition of VeloCloud for software defined wide area networking (SD-WAN).

With Super Compute 2017 (SC17) in November there were several announcements including from ATTO, DDN, Enmotus and Micron, Everspin, along with many others. By the way, in case you missed it at end of October Microsoft and Cray announced a partnership to bring Super Compute capabilities to Azure clouds. Speaking of Microsoft, there was also an announcement of adding VMware running on top of Azure (granted without VMware support), similar in concept to VMware on AWS (read hare).

Also at the end of November was AWS Reinvent with many announcements (more on those in a follow-up newsletter and posts). Prior to Reinvent AWS announced several server, storage and other data infrastructure security enhancements including for S3. Highlights from AWS reinvent include Fargate (serverless aka containers at scale without managing infrastructure), Elastic Container Services for Kubernetes (EKS), Greengrass (machine learning [ML] data infrastructure), along with many others.

Fargate is for those who want to leverage serveless microservices containers without having to devote DevOps and related activity to the care and feeding of its data infrastructure. In other words, Fargate is for those who want to focus maximum effort on the business applications, vs. the business of setting up and maintaining the data infrastructure for serverless On the other hand, AWS also announced EKS for those who want or need to customize their serverless data infrastructure including around Kubernetes among others.

In other industry activity, Taiwanese based Foxconn who manufactures technology for the who’s who of the industry announced progress towards their future Wisconsin based factory complex.

Over at HPE, the big news announcement is that CEO Meg Whitman is stepping down. HPE also announced new AMD powered Gen 10 Proliant services, as well as multi-cloud management solutions. HPE also announced new partnerships with DDN for HPC and SC, with Rackspace for selling private cloud services, along with Cloudian EMEA partnership among others.

OwnBackup announced a new version of their data protection software, while low-cost budget bulk storage service backblaze (B2) announced their more recent quarterly drive failure (or success) reliability reports. Meanwhile over at Quantum they released former Ceo Jon Gacek and rotated in new management.

Red Hat announced Ceph Storage 3 including CephFS (POSIX compatible file system), iSCSI gateway including support for VMware and Windows that lack native Ceph drivers, daemon deployment in Linux containers for smaller hardware footprint. Also included are enhanced monitoring, troubleshooting and diagnostics to streamline deployment and ongoing management. Red Hat also announced OpenShift version 3.7 for containers.

SANblaze announced NVMf and dual port NVMe capabilities for NVMe fabrics, while Linbit won an European grant to build out a software defined storage cloud scale out solution.

I often get asked who are the hot, new, trendy or other vendors and services to keep an eye on some of which I have mentioned in previous newsletters, as well as posts such as here and here. Moving in to 2018 some to keep an eye on (not all are new or trendy, yet they can enable you to be productive, or differentiate) include the following.

AWS, Bluemedora, Chelsio, Cloudian, CloudPassage, Compuverde, Databricks, Datadog, Datos, Enmotus, Everspin, Excelero, Fluree (Blockchain database), Google, Mellonox, Microsemi, Microsoft, Marvel and Cavium, MyWorkDrive, Red Hat, Rook, Rozo, Rubrik, Strongbox, Storone, Turbonomic, Ubuntu, Veeam, Velostrata, Virtuozo, VMware, WekaIO and others.

What the above means, is that it has been a busy month as well as year, and, the year is not over yet. There are still plenty of shopping days left both for christmas and the holidays, as well as for IT year-end spending, vendors looking to do acquisitions, or other last-minute projects. Speaking of which, drop me a note if you have any end of year, or new year projects Server StorageIO can assist you with.

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

Server StorageIO Commentary in the news, tips and articles

Recent Server StorageIO industry trends perspectives commentary in the news.

Via HPE Insights: Comments on Public cloud versus on-prem storage
Via DataCenterKnowledge: Data Center Standards: Where’s the Value?
Via arsTechnica: Comments on cloud backup disaster recovery

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

Server StorageIOblog Data Infrastructure Posts

Recent and popular Server StorageIOblog posts include:

In Case You Missed It #ICYMI

View other recent as well as past StorageIOblog posts here

Server StorageIO Recommended Reading (Watching and Listening) List

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

Intel Recommended Reading List (IRRL) for developers is a good resource to check out.

For those who are into Linux, container and hypervisor performance along with internals including cloud based, check out Brendan Gregg site. He has a lot of great material including some recent interesting posts ranging from dealing with workplace jerks, to whats inside AWS EC2 new KVM (switch from Xen based) hypervisors among others.

Here is a post by New York Times CIO/CTO Nick Rockwell The (Futile) Resistance to Serverless, also check out my podcast discussion with Nick here.

Over at Next Platform they have some interesting perspectives on Intel’s next Exascale architecture worth spending a few minutes to read.

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

Events and Activities

Recent and upcoming event activities.

Nov. 9, 2017 – Webinar – All You Need To Know about ROBO Data Protection Backup
Nov. 2, 2017 – Webinar – Modern Data Protection for Hyper-Convergence

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

Server StorageIO Industry Resources and Links

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

Connect and Converse With Us


Ok, nuff said, for now.

Gs

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

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2023 Server StorageIO(R) and UnlimitedIO. All Rights Reserved.

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Dell EMC VMware September 2017 Software Defined Data Infrastructure Updates

Dell EMC VMware September 2017 Software Defined Data Infrastructure Updates

server storage I/O data infrastructure trends

Dell EMC VMware September 2017 Software Defined Data Infrastructure Updates

vmworld 2017

September was a busy month including VMworld in Las Vegas that featured many Dell EMC VMware (among other) software defined data infrastructure updates and announcements.

A summary of September VMware (and partner) related announcements include:

VMware on AWS via Amazon.com
VMware and AWS via Amazon Web Services

VMware and AWS

Some of you might recall VMware earlier attempt at public cloud with vCloud Air service (see Server StorageIO lab test drive here) which has since been depreciated (e.g. retired). This new approach by VMware leverages the large global presence of AWS enabling customers to set up public or hybrid vSphere, vSAN and NSX based clouds, as well as software defined data centers (SDDC) and software defined data infrastructures (SDDI).

VMware Cloud on AWS exists on a dedicated, single-tenant (unlike Elastic Cloud Compute (EC2) multi-tenant instances or VMs) that supports from 4 to 16 underlying host per cluster. Unlike EC2 virtual machine instances, VMware Cloud on AWS is delivered on elastic bare-metal (e.g. dedicated private servers aka DPS). Note AWS EC2 is more commonly known, AWS also has other options for server compute including Lambda micro services serverless containers, as well as Lightsail virtual private servers (VPS).

Besides servers with storage optimized I/O featuring low latency NVMe accessed SSDs, and applicable underlying server I/O networking, VMware Cloud on AWS leverages the VMware software stack directly on underlying host servers (e.g. there is no virtualization nesting taking place). This means more robust performance should be expected like in your on premise VMware environment. VM workloads can move between your onsite VMware systems and VMware Cloud on AWS using various tools. The VMware Cloud on AWS is delivered and managed by VMware, including pricing. Learn more about VMware Cloud on AWS here, and here (VMware PDF) and here (VMware Hands On Lab aka HOL).

Read more about AWS September news and related updates here in this StorageIOblog post.

VMware PKS
VMware and Pivotal PKS via VMware.com

Pivotal Container Service (PKS) and Google Kubernetes Partnership

During VMworld VMware, Pivotal and Google announced a partnership for enabling Kubernetes container management called PKS (Pivotal Container Service). Kubernetes is evolving as a popular open source container microservice serverless management orchestration platform that has roots within Google. What this means is that what is good for Google and others for managing containers, is now good for VMware and Pivotal. In related news, VMware has become a platinum sponsor of the Cloud Native Compute Foundation (CNCF). If you are not familiar with CNCF, add it to your vocabulary and learn more here at www.cncf.io.

Other VMworld and September VMware related announcements

Hyper converged data infrastructure provider Maxta has announced a VMware vSphere Escape Pod (parachute not included ;) ) to facilitate migration from ESXi based to Red Hat Linux hypervisor environments. IBM and VMware for cloud partnership, along with Dell EMC, IBM and VMware joint cloud solutions. White listing of VMware vSphere VMs for enhanced security combine with earlier announced capabilities.

Note that both VMware with vSphere ESXi and Microsoft with Hyper-V (Windows and Azure based) are supporting various approaches for securing Virtual Machines (VMs) and the hosts they run on. These enhancements are moving beyond simply encrypting the VMDK or VHDX virtual disks the VMs reside in or use, as well as more than password, ssh and other security measures. For example Microsoft is adding support for host guarded fabrics (and machine hosts) as well as shielded VMs. Keep an eye on how both VMware and Microsoft extend the data protection and security capabilities for software defined data infrastructures for their solutions and services.

Dell EMC Announcements

At VMworld in September Dell EMC announcements included:

  • Hyper Converged Infrastructure (HCI) and Hybrid Cloud enhancements
  • Data Protection, Goverence and Management suite updates
  • XtremIO X2 all flash array (AFA) availability optimized for vSphere and VDI

HCI and Hybrid Cloud enhancements include VxRail Appliance, VxRack SDDC (vSphere 6.5, vSAN 6.6, NSX 6.3) along with hybrid cloud platforms (Enterprise Hybrid Cloud and Native Hybrid Cloud) along with vSAN Ready Nodes (vSAN 6.6 and encryption) and VMware Ready System. Note that Dell EMC in addition to supporting VMware hybrid clouds also previously announced solutions for Microsoft Azure Stack back in May.

Software Defined Data Infrastructure Essentials at VMworld Bookstore

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Software Defined Data Infrastructure Essentials (CRC Press) at VMworld bookstore

My new book Software Defined Data Infrastructure Essentials (CRC Press) made its public debut in the VMware book store where I did a book signing event. You can get your copy of Software Defined Data Infrastructure Essentials which includes Software Defined Data Centers (SDDC) along with hybrid, multi-cloud, serverless, converged and related topics at Amazon among other venues. Learn more here.

Where To Learn More

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

What This All Means

A year ago at VMworld the initial conversations were started around what would become the VMware Cloud on AWS solution. Also a year ago besides VMware Integrated Containers (VIC) and some other pieces, the overall container and in particular related management story was a bit cloudy (pun intended). However, now the fog and cloud seem to be clearing with the PKS solution, along with details of VMware Cloud on AWS. Likewise vSphere, vSAN and NSX along with associated vRealize tools continue to evolve as well as customer deployment growing. All in all, VMware continues to evolve, let’s see how things progress now over the year until the next VMworld.

By the way, if you have not heard, its Blogtober, check out some of the other blogs and posts occurring during October here.

Ok, nuff said, for now.
Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (and vSAN). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio.

Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2023 Server StorageIO(R) and UnlimitedIO. All Rights Reserved.

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Announcing Software Defined Data Infrastructure Essentials Book by Greg Schulz

New SDDI Essentials Book by Greg Schulz of Server StorageIO

Cloud, Converged, Virtual Fundamental Server Storage I/O Tradecraft

server storage I/O data infrastructure trends

Update 1/21/2018

Over the past several months I have posted, commenting, presenting and discussing more about Software Defined Data Infrastructure Essentials aka SDDI or SDDC and SDI. Now it is time to announce my new book (my 4th solo project), Software Defined Data Infrastructure Essentials Book (CRC Press). Software Defined Data Infrastructure Essentials is now generally available at various global venues in hardcopy, hardback print as well as various electronic versions including via Amazon and CRC Press among others. For those attending VMworld 2017 in Las Vegas, I will be doing a book signing, meet and greet at 1PM Tuesday August 29 in the VMworld book store, as well as presenting at various other fall industry events.

Software Defined Data Infrastructure Essentials Book Announcement

(Via Businesswire) Stillwater, Minnesota – August 23, 2017  – Server StorageIO, a leading independent IT industry advisory and consultancy firm, in conjunction with publisher CRC Press, a Taylor and Francis imprint, announced the release and general availability of “Software-Defined Data Infrastructure Essentials,” a new book by Greg Schulz, noted author and Server StorageIO founder.

Software Defined Data Infrastructure Essentials

The Software Defined Data Infrastructure Essentials book covers physical, cloud, converged (and hyper-converged), container, and virtual server storage I/O networking technologies, revealing trends, tools, techniques, and tradecraft skills.

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

From cloud web scale to enterprise and small environments, IoT to database, software-defined data center (SDDC) to converged and container servers, flash solid state devices (SSD) to storage and I/O networking,, the book helps develop or refine hardware, software, services and management experiences, providing real-world examples for those involved with or looking to expand their data infrastructure education knowledge and tradecraft skills.

Software Defined Data Infrastructure Essentials book topics include:

  • Cloud, Converged, Container, and Virtual Server Storage I/O networking
  • Data protection (archive, availability, backup, BC/DR, snapshot, security)
  • Block, file, object, structured, unstructured and data value
  • Analytics, monitoring, reporting, and management metrics
  • Industry trends, tools, techniques, decision making
  • Local, remote server, storage and network I/O troubleshooting
  • Performance, availability, capacity and  economics (PACE)

Where To Purchase Your Copy

Order via Amazon.com and CRC Press along with Google Books among other global venues.

What People Are Saying About Software Defined Data Infrastructure Essentials Book

“From CIOs to operations, sales to engineering, this book is a comprehensive reference, a must-read for IT infrastructure professionals, beginners to seasoned experts,” said Tom Becchetti, advisory systems engineer.

"We had a front row seat watching Greg present live in our education workshop seminar sessions for ITC professionals in the Netherlands material that is in this book. We recommend this amazing book to expand your converged and data infrastructure knowledge from beginners to industry veterans."

Gert and Frank Brouwer – Brouwer Storage Consultancy

"Software-Defined Data Infrastructures provides the foundational building blocks to improve your craft in several areas including applications, clouds, legacy, and more.  IT professionals, as well as sales professionals and support personal, stand to gain a great deal by reading this book."

Mark McSherry- Oracle Regional Sales Manager

"Greg Schulz has provided a complete ‘toolkit’ for storage management along with the background and framework for the storage or data infrastructure professional (or those aspiring to become one)."
Greg Brunton – Experienced Storage and Data Management Professional

“Software-defined data infrastructures are where hardware, software, server, storage, I/O networking and related services converge inside data centers or clouds to protect, preserve, secure and serve applications and data,” said Schulz.  “Both readers who are new to data infrastructures and seasoned pros will find this indispensable for gaining and expanding their knowledge.”

SDDI and SDDC components

More About Software Defined Data Infrastructure Essentials
Software Defined Data Infrastructures (SDDI) Essentials provides fundamental coverage of physical, cloud, converged, and virtual server storage I/O networking technologies, trends, tools, techniques, and tradecraft skills. From webscale, software-defined, containers, database, key-value store, cloud, and enterprise to small or medium-size business, the book is filled with techniques, and tips to help develop or refine your server storage I/O hardware, software, Software Defined Data Centers (SDDC), Software Data Infrastructures (SDI) or Software Defined Anything (SDx) and services skills. Whether you are new to data infrastructures or a seasoned pro, you will find this comprehensive reference indispensable for gaining as well as expanding experience with technologies, tools, techniques, and trends.

Software Defined Data Infrastructure Essentials SDDI SDDC content

This book is the definitive source providing comprehensive coverage about IT and cloud Data Infrastructures for experienced industry experts to beginners. Coverage of topics spans from higher level applications down to components (hardware, software, networks, and services) that get defined to create data infrastructures that support business, web, and other information services. This includes Servers, Storage, I/O Networks, Hardware, Software, Management Tools, Physical, Software Defined Virtual, Cloud, Docker, Containers (Docker and others) as well as Bulk, Block, File, Object, Cloud, Virtual and software defined storage.

Additional topics include Data protection (Availability, Archiving, Resiliency, HA, BC, BR, DR, Backup), Performance and Capacity Planning, Converged Infrastructure (CI), Hyper-Converged, NVM and NVMe Flash SSD, Storage Class Memory (SCM), NVMe over Fabrics, Benchmarking (including metrics matter along with tools), Performance Capacity Planning and much more including whos doing what, how things work, what to use when, where, why along with current and emerging trends.

Book Features

ISBN-13: 978-1498738156
ISBN-10: 149873815X
Hardcover: 672 pages
(Available in Kindle and other electronic formats)
Over 200 illustrations and 70 plus tables
Frequently asked Questions (and answers) along with many tips
Various learning exercises, extensive glossary and appendices
Publisher: Auerbach/CRC Press Publications; 1 edition (June 19, 2017)
Language: English

SDDI and SDDC toolbox

Where To Learn More

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

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

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

Data Infrastructures exist to protect, preserve, secure and serve information along with the applications and data they depend on. With more data being created at a faster rate, along with the size of data becoming larger, increased application functionality to transform data into information means more demands on data infrastructures and their underlying resources.

Software-Defined Data Infrastructure Essentials: Cloud, Converged, and Virtual Fundamental Server Storage I/O Tradecraft is for people who are currently involved with or looking to expand their knowledge and tradecraft skills (experience) of data infrastructures. Software-defined data centers (SDDC), software data infrastructures (SDI), software-defined data infrastructure (SDDI) and traditional data infrastructures are made up of software, hardware, services, and best practices and tools spanning servers, I/O networking, and storage from physical to software-defined virtual, container, and clouds. The role of data infrastructures is to enable and support information technology (IT) and organizational information applications.

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

Everything is not the same in business, organizations, IT, and in particular servers, storage, and I/O. This means that there are different audiences who will benefit from reading this book. Because everything and everybody is not the same when it comes to server and storage I/O along with associated IT environments and applications, different readers may want to focus on various sections or chapters of this book.

If you are looking to expand your knowledge into an adjacent area or to understand whats under the hood, from converged, hyper-converged to traditional data infrastructures topics, this book is for you. For experienced storage, server, and networking professionals, this book connects the dots as well as provides coverage of virtualization, cloud, and other convergence themes and topics.

This book is also for those who are new or need to learn more about data infrastructure, server, storage, I/O networking, hardware, software, and services. Another audience for this book is experienced IT professionals who are now responsible for or working with data infrastructure components, technologies, tools, and techniques.

Learn more here about Software Defined Data Infrastructure (SDDI) Essentials book along with cloud, converged, and virtual fundamental server storage I/O tradecraft topics, order your copy from Amazon.com or CRC Press here, and thank you in advance for learning more about SDDI and related topics.

Ok, nuff said, for now.

Gs

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

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

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Microsoft Windows Server, Azure, Nano Life cycle Updates

server storage I/O trends

Microsoft Windows Server, Azure, Nano and life cycle Updates

For those of you who have an interest in Microsoft Windows Server on-premises, on Azure, on Hyper-V or Nano life cycle here are some recently announced updates.
Microsoft Windows Server Nano Lifecycle

Microsoft has announced updates to Windows Server Core and Nano along with semi-annual channel updates (read more here). The synopsis of this new update via Microsoft (read more here) is:

In this new model, Windows Server releases are identified by  the year and month of release: for example, in 2017, a release in the 9th month  (September) would be identified as version 1709. Windows Server will release  semi-annually in fall and spring. Another release in March 2018 would be  version 1803. The support lifecycle for each release is 18 months.

Microsoft has announced that its lightweight variant of WIndows Server 2016 (if you need a refresh on server requirements visit here) known as nano will now be focused for WIndows based containers as opposed to being for bare metal. As part of this change, Microsoft has reiterated that Server Core the headless (aka non-desktop user interface) version of WIndows Server 2016 will continue as the platform for BM along with other deployments where a GUI interface is not needed. Note that one of the original premises of Nano was that it could be leveraged as a replacement for Server Core.

As part of this shift, Microsoft has also stated their intention to further streamline the already slimmed down version of WIndows Server known as Nano by reducing its size another 50%. Keep in mind that Nano is already a fraction of the footprint size of regular Windows Server (Core or Desktop UI). The footprint of Nano includes both its capacity size on disk (HDD or SSD), as well as its memory requirements, speed of startup boot, along with number of components that cut the number of updates.

By focusing Nano for container use (e.g. Windows containers) Microsoft is providing multiple micro services engines (e.g. Linux and Windows) along with various management including Docker. Similar to providing multiple container engines (e.g. Linux and Windows) Microsoft is also supporting management from Windows along with Unix.

Does This Confirm Rumor FUD that Nano is Dead

IMHO the answer to the FUD rumors that are circulating around that NANO is dead are false.

Granted Nano is being refocused by Microsoft for containers and will not be the lightweight headless Windows Server 2016 replacement for Server Core. Instead, the Microsoft focus is two path with continued enhancements on Server Core for headless full Windows Server 2016 deployment, while Nano gets further streamlined for containers. This means that Nano is no longer bare metal or Hyper-V focused with Microsoft indicating that Server Core should be used for those types of deployments.

What is clear (besides no bare metal) is that Microsoft is working to slim down Nano even further by removing bare metal items, Powershell,.Net and other items instead of making those into optional items. The goal of Microsoft is to make the base Nano image on disk (or via pull) as small as possible with the initial goal of being 50% of its current uncompressed 1GB disk size. What this means is that if you need Powershell, you add it as a layer, need .Net then add as a layer instead of having the overhead of those items if you do not need tem. It will be interesting to see how much Microsoft is able to remove as standard components and make them options that you can simply add as layers if needed.

What About Azure and Bring Your Own License

In case you were not aware or had forgotten when you use Microsoft Azure and deploy virtual machine (aka cloud instances), you have the option of bringing (e.g. using) your own WIndows Server licenses. What this means is that by using your own Windows Server licenses you can cut the monthly cost of your Azure VMs. Check out the Azure site and explore various configuration options to learn more about pricing and various virtual machine instances from Windows to Linux here as well as hybrid deployments.

Where To Learn More

What This All Means

Microsoft has refocused Windows Server 2016 Core and Desktop as its primary bare metal including for virtual as well as Azure OS platforms, while Nano is now focused on being optimized for Windows-based containers including Docker among other container orchestration.

Ok, nuff said (for now…).

Cheers
Gs

Greg Schulz – Multi-year Microsoft MVP Cloud and Data Center Management, VMware vExpert (and vSAN). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio.

Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2023 Server StorageIO(R) and UnlimitedIO. All Rights Reserved.

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

server storage I/O trends

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

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

VMware vSAN 6.6
Image via VMware

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

Software-defined data infrastructure

Excuse Me, What is vSAN and who is if for

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

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

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

CI and HCI data infrastructure

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

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

Give Me the Quick Elevator Pitch Summary

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

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

Where to Learn More

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

What this all means

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

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

Ok, nuff said (for now…).

Cheers
Gs

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

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