This blog is for the open exchange of ideas relating to IBM Systems, storage and storage networking hardware, software and services.
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Tony Pearson is a Master Inventor, Senior IT Architect and Event Content Manager for [IBM Systems for IBM Systems Technical University] events. With over 30 years with IBM Systems, Tony is frequent traveler, speaking to clients at events throughout the world.
Lloyd Dean is an IBM Senior Certified Executive IT Architect in Infrastructure Architecture. Lloyd has held numerous senior technical roles at IBM during his 19 plus years at IBM. Lloyd most recently has been leading efforts across the Communication/CSI Market as a senior Storage Solution Architect/CTS covering the Kansas City territory. In prior years Lloyd supported the industry accounts as a Storage Solution architect and prior to that as a Storage Software Solutions specialist during his time in the ATS organization.
Lloyd currently supports North America storage sales teams in his Storage Software Solution Architecture SME role in the Washington Systems Center team. His current focus is with IBM Cloud Private and he will be delivering and supporting sessions at Think2019, and Storage Technical University on the Value of IBM storage in this high value IBM solution a part of the IBM Cloud strategy. Lloyd maintains a Subject Matter Expert status across the IBM Spectrum Storage Software solutions. You can follow Lloyd on Twitter @ldean0558 and LinkedIn Lloyd Dean.
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I got an interesting email from a new blogger asking me for advice on how frequently to post entries.I am probably not the right person to ask, as I blog whenever a thought comes to mind that I think otherswould enjoy reading, and sometimes that means several times a day, and other times only a few per month.I actually have a day job, busy doing other things, and blogging is just now part of my general set of activities.My focus is quality not quantity.
With that in mind, I was delightfully surprised that this blog was ranked among theTop 10 Storage Blogs by Network World, which explains my recent spike in traffic.
I shared the news with my 72-year-old father, and he exclaimed "There are actually 10 or more blogsto cover the IT storage industry?" He couldn't understand why the world would read more than two or three. I personally track thirty-five of them, and I suspect there are hundredsothers out there. Of these, some blog quite regularly, while others do not, so I am in good company. Deni Connor, the author who selected these top 10, gave a nice general complement tothe entire list of blogs:
The blogs written by storage company executives can be surprisingly vendor-agnostic, though the analysts and consultants still tend to pull fewer punches.
And this was my goal as well, to enlighten and entertain, in a fair and balanced manner, that adds value to the blogosphere, rather than just repeat the IBM press releases of each day. If you are just looking for "announcements" there is an RSS feed for IBM System Storage you cansubscribe to.
Not surprisingly, two of the blog entries that Deni mentions are the ones I get the most comments on:
ILM for my iPod tried to explain Information Lifecycle Management (ILM) into laymen terms that everyone could understand. As an engineer-turned-marketeer, explaining technology and concepts into laymen terms is something I find myself doing a lot to help others grasp what is otherwise rather complex industry we are in. Not surprisingly, many IBMers were not aware they were eligible for discounts on Apple products like the iPod, and thanked me for pointing them to this.
Aperi is "Viagra" for SMI-S which has now become my infamous blog entry within the halls of IBM. I chose this term over "steroids" given the various scandals involving famous athletes that were going on at the time. To this day,if you search Google for "Tony Pearson" AND "Viagra" you get this blog entry at the top of the list. Oneco-worker overheard that I had "used Viagra" only to later find out they were referring to the fact that I "used Viagra as a metaphor in the title of a blog entry". And that was the real issue, not that I used the term in a popular vernacular that might not translate well into other languages, or that I failed to attribute this as a trademark that belonged to its respective manufacturer, but that it was in the title itself, and thus the URL became "aperi_is_viagra_for_smi" when published in newspapers and press releases. I have since learned to be more careful when phrasing the titles of my blog entries.
I began my year-end vacation today, but like exercising at the gym, I will try to keep up with my blogging over these next two weeks. Especially for those readers out there doing end-of-year storage infrastructure changes. This blog is for you.[Read More]
For a while now, IBM has been trying to explain to clients that focusingon just storage hardware acquisition costs is not enough. You need toconsider the "Total Cost of Ownership" or TCO of a purchase decision.For active data, a 3-5 year TCO assessment can give you a better comparison of costs between IBM and competitive choices. For long-term archive retention, 7-10 year TCO assessment may be necessary.
Now, IBM has a cute [2-minute video] that brings anappropriate analogy to help IT and non-IT executives understand.
Last year in Beijing, China, one of my colleagues told me "When it rains here, cabs dry up". Normally, there are enough taxi cabs to handle normal conditions, but when it rains, people who normally walk now want to take a cab instead, and the demand goes up, resulting in being more difficult to find one when you need one.
I'm wrapping up my week here in Chicago, and it snowed yesterday. Cabs were scarce. I walked. Many others walked too, about half with umbrellas to protect themselves against the snowflakes.
Most systems are designed to handle typical average conditions. Taxi cabs in a city, for example, handle typicalamounts of traffic.
IT is different. In many cases, IT infrastructures are designed for the peaks, not the averages. Peaks can be where you need performance the most, and failure to design for peaks can be disastrous. As with any business decision, this represents a trade-off. Design for the average, and suffer through the peaks, or design for the peak, and be over-allocated and under-utilized most of the time otherwise.
While some might be familiar with mashups that combine public Web 2.0 sources of information, enterprise mashups go one step further, integrating withthe "information infrastructure" of your data center. It's not just enough to deliver theright information to the right person at the right time, it has to bein the right format, in a manner that can be readily understood andacted upon. Enterprise mashups can help.
Well, it's the end of the year, so I thought a recap of year 2014 would be in order.
The year started out with some January announcements, including the IBM FlashSystem 840. IBM is proud to be ranked #1 in All-Flash Arrays, and the IBM acquisition of Texas Memory System has caused all of the other competitors to scramble their own wanna-be offerings. IBM also announced it was going to sell off its System x division to Lenovo.
In February, I wrapped up a project to build a Linux-based PC for a kindergarten class. IBM announced some exciting new things at Pulse 2014 conference, including IBM Bluemix Platform-as-a-Service (PaaS), new IBM SmartCloud Virtual Storage Center offerings, and acquisition of Cloudant Database. Also, on Valentine's day, IBM announced the FlashSystem V840, which combines the software-defined storage features of SAN Volume Controller, with the Microlatency of the FlashSystem 840. IBM sold its 10,000th PureSystems converged expert-integrated system.
In March, I completed a six-month film project ["A Tucson Executive Briefing Center: A Quick Visual Tour"]. I was writer/director/actor for this quick 3-minute film posted on YouTube. I wrote the script and had it reviewed by a professional script reviewer, hired a professional cinemetographer, paid royalties for background music, located a voice-over expert for narration, and trained the actors (all IBM employees) how to read their lines and stand on their mark for the camera. It was a big success!
In April, I presented at the Systems Technical University in Istanbul, Turkey. I had been to Turkey before, but this was my first time to the city of Istanbul itself. The owner of my local [Savaya Coffee] is from Istanbul, and was able to introduce me to someone who was able to arrange for a full tour my first day! Meanwhile, on the other side of the pond, IBMers in New York were celebrating the 50th anniversary of the IBM mainframe, including a cameo appearance on the TV show "Mad Men".
In May, I was busy presenting at the IBM Edge conference in Las Vegas. IBM celebrated the sixth anniversary of IBM ProtecTIER data deduplication device, announced "Codename: Elastic Storage" and new features on the DS8870 disk system, and presented analyst findings that IBM Software Defined Storage was substantially less expensive than competitive offerings.
In July, I took a nice summer vacation, [a road trip across the state of Tennessee]. IBM made a strategic partnership with Apple to offer mobile apps for the data center enterprise for the iOS operating system on iPhones and iPad tablets.
In August, I completed a summer partnership with University of Toronto and IBM Softlayer to build "Concept IBM Watson", a scaled down version of IBM Watson based on my infamous 2011 blog post [How to replicate Watson hardware and systems design for your own use in your basement]. Rather than using three physical servers, however, we had virtual x86 machines running on IBM Softlayer cloud. The system was only asked the simplest "How many...?" questions against a single text document, but proved to the University that teaching analytics by replicating IBM's historic achievement was effective and possible.
In September, I celebrated my eight year "Blogoversary". That's right, I have been blogging for the past eight years! With over 800 posts, and five published books, I countinue to be ranked #1 most-read blog on IBM developerWorks. IBM was ranked #1 for Software Defined Storage!
In October, I presented at the Systems Technical University in Dublin, Ireland. This was my first time in Ireland, and I found Dublin to be quite a beautiful city, with friendly people and delicious food.
The rest of October, and much of November and December, I spent on the road, visiting clients to help close deals! (Sorry folks... Due to SEC black-out rules, I am prohibited from telling you how well I did) Since I am not allowed to talk about on-going discussions that I have with clients, my blog has been noticeably silent during these months. I apologize for any stress or anxiety this might have caused any of my readers!
Despite too-much-candy, too-much-turkey and too-many-cookies that the year-end often brings, I managed to lose twenty pounds on a low-carb, gluten-free, Paleo diet and exercise.
Many of you have seen the Storage announcements that were made last month on February 20. I gave you all the skinny about the context of the technology shift and some resources to go deeper still in my blog post [IBM Storage Announcements for February 2018].
So, there’s a lot going on in IBM Storage right now. I’m looking forward to the upcoming IBM Systems Technical University in Orlando, Florida, from April 30 to May 4, 2018.
TechU’s are my favorite events to attend. This is a true event for techies! You get hands-on labs, demos, technical sessions, and birds of a feather (BOF) sessions and open technology discussions.
There are over 200 sessions on IBM Storage. I have the honor of sharing the latest in storage technology and strategy. Here are the topics I am scheduled to present:
IBM hybrid cloud storage solutions
Managing risks with data footprint reduction
Information lifecycle management: Why archive is different than backup
The seven tiers of business continuity and disaster recovery
Introduction to IBM Cloud Object Storage System (powered by Cleversafe)
The pendulum swings back: Understanding Converged and Hyperconverged Systems
Reporting and monitoring: How to verify your storage is being used efficiently
I have been blogging for more than 10 years now, so I am no stranger to commenting on competitive comparisons. In some cases, I am setting the record straight, and other times, poking fun at competitor results, claims or conclusions. This comparison from Brian Carmody was too juicy to ignore.
(FCC Disclosure: I work for IBM. I have no financial interest in Infinidat, Dell EMC, nor Pure Storage, mentioned in this post. I do have friends and former co-workers who now work for Infinidat. This blog post can be considered a "paid celebrity endorsement" for IBM FlashSystem products.)
Here is an excerpt, I have added (Infinidat) wherever Brian says "we" just so there is no confusion:
"... So last week we (Infinidat) finally got around to running the same profiles against an INFINIDAT F6230 in our Waltham Solution Center, configured with 1.1TB of DDR-4 DRAM, 200TB TLC NAND, and 480 3TB Nearline HDDs.
In summary, we (Infinidat) wrecked the Pure and EMC systems. Here are the results side by side with EMC's data:
EMC Unity 600F
16K IOPS (80% Read)
9x Pure, 5x Unity
256K BW MBps
10.6x Pure, 3x Unity
4.5x Pure, 1.6x Unity
Steady-state latency (ms)
1/7 Pure, 1/2 Unity
By the way, we (Infinidat) took the liberty of running the test with a 200TB data set instead of Pure and EMC's 50TB because modern workloads require performance at scale, and we ran it with in-line compression enabled because our compression algorithm doesn't hurt performance.
This was an interesting test to run, and we (Infinidat) hope it helps the storage industry move away from media type wars and benchmarks (you will lose every time on performance if INFINIDAT is in the mix) ..."
Notice anything wrong here? anything missing?
The Tortoise beat "Hare 1" and "Hare 2", but did not invite the Cheetah to the race?
Brian was smart enough not to compare their product to anything from IBM. IBM has a wide variety of All-Flash Arrays, including the DS8880F models, the Storwize V7000F and V5030F models, and Elastic Storage Server models. However, for this workload, IBM would probably recommend the FlashSystem V9000, A9000 or A9000R.
Any All-Flash Array with a steady-state latency of 2 milliseconds or greater is embarassing, but then Infinibox is not really an All-Flash Array.
The architecture of their Infinibox appears much like the original XIV. It has a mix of DRAM memory and SSD cache, combined with spinning drives. It offers only compression, not data deduplication. Unlike the IBM XIV powered by six to 15 servers, the Infinibox appears under-powered with just three servers.
The Infinibox uses software-based in-line compression, which must put a huge tax on the few CPUs they have in those three servers. Infinidat chose not to compress the data in their cache, probably to reduce the additional overhead on their over-taxed CPUs.
The IBM FlashSystem V9000 has an innovative design, based on IBM Spectrum Virtualize, the mature software that you also find in the IBM SAN Volume Controller and Storwize family of products.
The FlashSystem V9000 offers hardware-accelerated compression. IBM takes advantage of the integrated Intel QuickAssist co-processor which runs the compression algorithm 20 times faster than standard Intel Broadwell CPU.
IBM compresses its cache, using a two-tier approach. The "upper cache" receives the data uncompressed, so that it can then tell the application to continue, for fastest turn-around time. Then the data is compressed, and stored in the "lower cache", optimizing the value and benefits of DRAM memory. Many databases get up to 80 percent savings, resulting in a 5-to-1 benefit in DRAM cache memory.
The IBM FlashSystem A9000 and A9000R also have an innovative, based on IBM Spectrum Accelerate, the code originally developed for IBM XIV storage system.
(Fun fact: Infinidat's founder, [Moshe Yanai], was formerly the founder and designer of XIV, and it appears that Infinidat is just a re-design of old XIV technology architecture, re-packaged with a few differences. Since Moshe left, IBM has drastically enhanced the IBM XIV.)
Like the IBM Spectrum Virtualize family, the IBM FlashSystem A9000 and A9000R have hardware-accelerated in-line compression, and two-tier approach to cache. The "upper cache" receives the data uncompressed, then the data is compressed and deduplicated, and stored in the "lower cache", optimizing the value and benefits of DRAM memory.
The IBM FlashSystem A9000 and A9000R also offer in-line data deduplication. Modern workloads are virtualized, and Virtual Machine (VM) and Virtual Desktop Infrastructure (VDI) get significant benefits from data deduplication. Infinidat does not play here. For the FlashSystem A9000, most of the metadata related to data deduplication is in cache, minimizing the overhead.
IBM FlashSystem A9000 and A9000R have full performance that blows these published Infinibox results away WITH compression and deduplication turned on.
Brian ran a workload that used the DRAM and SSD cache exclusively, eliminating the reality that any REAL WORLD workload would have to tap into those much slower spinning drives. This is not really a side-to-side benchmark. He is comparing his live run on Infinibox to published numbers from a previous comparison run on a completely different set of data.
This raises the question, why pay for all those spinning drives at all, if you plan to only use the DRAM and Flash storage for your workloads?
A week later, Brian followed up with another post [The INFINIDAT Challenge], acknowledging his comparison was bogus. Here's an excerpt. Again, I have added (Infinidat) wherever Brian is referring to his employer just so there is no confusion:
"... It's not likely that a room full of storage engineers will ever agree on parameters for a synthetic benchmark since storage evaluations are competitive and control of test parameters will invariably predetermine the 'winner'. However, I hope we can all agree that synthetic benchmarks are a waste of time, and that real world performance is what matters in the data center.
So, what can we (Infinidat) do about it?
We (Infinidat) cordially invite every enterprise storage customer who wants lower latency and lower storage cost to visit [FasterThanAllFlash.com] and sign up for The INFINIDAT Challenge.
We (Infinidat) will Give you an Infinibox system to test
We (Infinidat) will Help you clone and test your environment with Infinibox
We (Infinidat) Guarantee your applications will run faster on Infinibox than your All-Flash Array.
If we (Infinidat) fail, we'll take the system back and Donate $10,000 to the charity of your choice.
If our technology delivers, you can keep the system, and we'll (Infinidat) Donate $10,000 in your name to the charity of our choice (The American Cancer Society).
Thanks again to all who participated in the dialog over the past week. I know the post generated some controversy. Traditional storage companies are fighting for their lives trying to keep enterprise storage expensive; indeed their business models are predicated upon maintaining price levels from a bygone era...."
As consolidation play doing full range of data services, I do not see this Infinibox working out. Talking to clients who have the Infinibox, the performance deteriorates in REAL WORLD workloads as you add more data to the unit.
The Infinibox seems fine for workloads that do not demand high performance, so I was surprised Brian compared it to All-Flash arrays. The Infinibox is out of its league!
(To be fair, Pure Storage and EMC XtremeIO aren't really in the same league as IBM FlashSystem, either, given that both of those products are based on commodity SSD. IBM FlashSystem models are consistently 4 to 10 times lower latency than these Commodity-SSD based competitors.)
The Infinibox also lacks features many people expect in an Enterprise-class storage array, like Call-Home capability to identify problems quickly, and Synchronous remote mirroring for disaster recovery. It is often common for startups like Infinidat to deliver a [Minimum Viable Product] as their first offering.
To paraphrase Brian himself, your applications will lose every time on performance if INFINIDAT is in your datacenter.
I have been involved with Business Continuity and Disaster Recovery my entire career at IBM System Storage. However, with new workloads like Hadoop analytics and new Hybrid Cloud deployments, I thought it would be good to provide a refresh.
The need for Business Continuity and Disaster Recovery has increased recently due to (a) climate change caused by human activity, (b) ransomware and other cyber attacks, and (c) disgruntled employees.
Back in 1983, a task force of IBM clients at a GUIDE conference developed "Seven Business Continuity Tiers for Disaster Recovery", which I refer to as "BC Tiers". I divided the presentation into three sections:
Backup and Restore: BC tiers 1 through 3 are based on backup and restore methodologies. I explained how to backup Hadoop analytics data, all of the various options for IBM Spectrum Protect software, and how to encrypt the tape data that gets sent off premises.
Rapid Data Recovery: BC tiers 4 and 5 reduce the Recovery Point Objective (RPO) and Recovery Time Objective (RTO) with snapshots, database journal shadowing, and IBM Cloud Object Storage.
Continuous Operations: BC tiers 6 and 7 provide data replication mirroring across locations. I covered 2-site, 3-site and 4-site configurations.
IBM Spectrum Virtualize - How it works - Deep dive
Barry Whyte, IBM Master Inventor and ATS for Spectrum Virtualize, covered a variety of internal topics "under the hood" of Spectrum Virtualize. This covers the SAN Volume Controller (SVC), FlashSystem V9000, Storwize V7000 and V5000 products, as well as Spectrum Virtualize sold as software.
In version 7.7, IBM raised the limits. You can now have 10,000 virtual disks per cluster, rather than 2,048 per node-pair. Also, you can now have up to 512 compressed volumes per node-pair. With the new 5U-high 92-drive expansion drawers, Storwize V7000 can now support up to 3,040 drives, and Storwize V5030 can support up to 1,520 drives.
While each Spectrum Virtualize node has redundant components, the architecture is designed to handle entire node failure. The term "I/O Group" was created to refer to the node-pair of Spectrum Virtualize engines and the set of virtual disks it manages. This made sense when virtual disks were dedicated to a single node-pair. Now, virtual disks can be assigned to multiple node-pairs, dynamically adding or removing node-pairs as needed for each virtual disk.
However, even if you have a virtual disk assigned to multiple node-pairs, only one node-pair would manage its cache, causing all other node-pairs to coordinate I/O through the cache-owning node-pair. The other node-pairs are called "access I/O groups".
The architecture allows for linear scalability, double the number of nodes, and you double your performance. Some competitors use n-way caching across four or more nodes, and it is a semi-religious argument on the pros and cons of each approach. Barry feels the 2-way caching implemented by Spectrum Virtualize is the most effective and efficient for performance.
All of the nodes are connected over IP network, but there is one designated as a "config node", and one, often the same, as a "boss node".
A cluster can have up to three physical quorum disks (either drive or mDisk) and optionally up to five IP-based quorums. The IP-based is just a Java program that runs on any server or Cloud, provided it can respond within 80 msec.
Either IP-based or physical quorum can be used for "tie-breaking" a split-brain situations. In the event there is no "active" quorum, the administrator can now serve as the tie-breaker manually. Barry recommends for Storwize clusters, where physical quorum disks are attached to a single node-pair, that you have at least one IP-based quorum for tie-breaking.
However, only physical quorum can be used for T3 Recovery. T3 Recovery happens after power outages. All of the nodes update the quorum disk with critical information of all of the virtual mappings of blocks to volumes, and this is used when bringing up the nodes again.
To protect against one pool consuming all of the cache, Spectrum Virtualize will partition the cache, and prevent any one pool from consuming more than a certain percentage of the total cache. The percentage depends on the number of pools:
Number of Pools
Max percentage of any individual pool
5 or more
Barry explained how failover works in the event of node failure. There is voting involved, and the majority remains in the cluster. In the case of an even split, called a "split brain" situation, the quorum decides. Orphaned nodes in a node-pair go into write-through mode, since the cache is no longer mirrored.
The I/O forwarding layer has been split between upper and lower roles. The upper layer handles access I/O groups. The lower layer handles asymmetric access to drives, mDisks and arrays.
N-port ID Virtualization (NPIV) drastically improves multi-pathing. Perhaps one of the coolest improvements in awhile, NPIV allows us to assign "Virtual" WWPN to other ports. When an I/O sent to a single port fails, it retries one or more times again, then waits 30 seconds, and then invokes multi-pathing to find a completely different path to the data. With NPIV, when a port fails, its WWPN is re-assigned to a different port, so the retries are likely to be successful before having to wait 30 seconds!
Lastly, Barry covered the delicate art of Software upgrades. Software is rolled forward one node at a time, and the "cluster state" is maintained during this time.
Different presentations this week are at different technical levels. My session was meant to be an overview of the concepts of Business Continuity, independent of specific operating system platform, using specific IBM products to help illustrate specific examples. Barry's was a deep dive into a single product family.
Ken Gibson has written a four-part series about where the storage industry is going, on his Storage Thoughts blog. You can find the four parts here (Part 1,Part 2,Part 3,Part 4).
His analysis of the storage industry is based on the concepts in Clayton Christensen's latest book Seeing What's Next, his latest work on the heels of his last two successes "The Innovator's Dilemma" and "The Innovator's Solution". I've only read the first book, "The Innovator's Dilemma" but need to check out these other two.
Ken explores the efforts of the incumbent players, and I agree IBM is farthest along, but not only for our "Storage Tank" architecture. For those not aware of Storage Tank, it was the code-name of a project from IBM's Almaden Research Center, productized as IBM System Storage SAN File System (SFS). Earlier this year the advanced policy-based data placement, movement and expiration features of SFS were copied over to IBM's General Parallel File System (GPFS) which has wide adoption among the High-Performance Technical Computing (HPTC) community. As I've said before, switching from one file system to another is hard, so it makes sense for HPTC clients who already use GPFS to make use of these new features by staying with GPFS, rather than trying to get them to move to SFS.
I also like Ken's analysis of "overshot" and "undershot" clients. Overshot clients are those that find what the marketplace delivers already "good enough" for their needs, and are price sensitive against paying for features they don't think they need. The undershot clients are those that the current marketplace set of offerings are not yet good enough, and are willing to pay a premium to the vendor or supplier that can get them closer to what they are looking for.
Changes are underfoot, and it is an exciting time to be involved in the storage industry.[Read More]
Well, it's Tuesday again, and you know what that means? IBM Announcements!
(This week I am in Pennsylvania and New York speaking to clients. The weather this week has not been cooperative!)
Spectrum Protect Plus 10.1.2
Just in time for the upcoming VMworld conference, IBM announces the following features added to Spectrum Protect Plus, a snapshot-based backup software for VMware, Hyper-V and databases.
Data-at-Rest Encryption for local backups stored in the vSnap repository
IBM Db2 support with point-in-time recovery
VMware vSphere 6.7 support
Alerting for backup and restore jobs and storage thresholds limits
Drill-down capabilities for dashboard widgets
Spectrum Protect 8.1.6
IBM also continues to enhance its traditional file-based backup product. Here are some of the features:
Tier data by backup state for container pools. When you have multiple backup versions, the most recent version is called the "active", the older versions are called "inactive" versions. Rarely do you recover inactive versions, so this feature allows them to be migrated off to object or cloud storage.
Ransomware detection for Virtual Environment workloads. This is an enhancement of the "Ransomware detection" introduced earlier this year, but for VMware and Hyper-V images.
IBM DS8882F All-Flash Array
When IBM announced the DS8880, it shocked folks that it changed them from the previous 33-inch wide, to a standard 19-inch width. The IBM Z team followed up with 19-inch wide models of its mainframe servers.
Now, IBM can bring these together. There are two flavors of the new DS8882F:
The "Rackless" model is 17U in height with the optional keyboard/monitor, and can be put into existing 19-inch racks. These can be used with VMware, Linux, Windows, AIX and z/OS.
The "Flex Frame" model, which is 16U, allowing it to fit nicely inside a single-rack IBM Z Z14 ZR1 model, or LinuxOne RockHopper II model. It is 16U instead of 17U because it shares the existing 1U-high keyboard/monitor unit.
Like the DS8888F, DS8886F, and DS8884F models, the new DS8882F uses the High Performance Flash Enclosure (HPFE) gen2 drawers, supporting either high-performance/high-endurance drives (400GB to 3.2TB each), or high-capacity/standard-endurance drives (3.8TB to 15.3 TB each).
The R8.5 release of firmware that accompanies this announcement also supports data-in-flight encryption for Transparent Cloud Tiering. It also supports a new feature called "Safeguarded Copies", up to 500 copies to protect against hackers and ransomware.
IBM Spectrum Access blueprints have been extended to support IBM Z and LinuxOne. These blueprints show how to run IBM Cloud Private with Spectrum Connect with IBM block storage, including IBM DS8880/F, SVC, Storwize and FlashSystem models.
IBM Storage Solutions for Virtual Desktop Infrastructures (VDI)
IBM offers a new blueprint to configure Virtual Desktops with its newly announced IBM FlashSystem 9100 device. The low latency/high IOPS capability of the FlashSystem 9100 is perfect for the type of "boot storms" that are often encountered with VDI deployments.
IBM Spectrum Scale 5.0.2 and Elastic Storage Server
At recent IBM Technical University, I joked that the IBM Elastic Storage Server is only "part of a complete breakfast" because it only supported the NSD POSIX interface. To make it useful in most situations, you needed to buy additional servers outside of the ESS to run Spectrum Scale protocol nodes to provide industry-standard file and object protocols.
Today, IBM announced that you can order a new "IBM Elastic Storage Server Data Server" (5148-22L) which is a POWER server with the Spectrum Scale software pre-installed for protocol node support. It has [similar specifications] to the IBM Elastic Storage Server Management Server (5148-21L).
If you prefer to run Spectrum Scale in the cloud, you can "Bring your own license" (BYOL) to Amazon Web Services.
I am back safely from my travels to New Zealand and Australia, and would like to wish everyone today a Happy [Earth Day]!
The Tucson area has been continuously-inhabited by people for the past 3,500 years. One of the great challenges for this arid desert region is water. Recently, Tucson was selected for a [2013 IBM Smarter Cities Challenge] grant. Here is an excerpt from a blog post by Tucson Mayor Jonathan Rothschild titled [Ensuring Tucson's Water Future]:
"One critical area for cost-effective investment is technology. We are converting all of our customer water meters to digital in order to reduce the amount of labor required to manually read all the 225,000 customer meters each month. And we are replacing our Supervisory Control and Data Acquisition (SCADA) system in order to improve our ability to control and manage our water distribution system.
I was pleased that Tucson was selected for a 2013 IBM Smarter Cities Challenge grant. As a result, a team of senior IBM executives came to Tucson for three weeks to listen to our story, learn about our water system and lend their expertise. They came from North Carolina, Texas, New York, California and Virginia to learn about how one of the most arid American cities is setting the standard for wise water use. The IBM team lived in our community and worked with the Tucson Water Department. They learned a great deal and helped us even more.
The Smarter Cities team's final report delivered exactly what we were looking for. It contained a roadmap with both shorter and longer term recommendations. The report did not recommend additional investments beyond our means, but it did make an effective case for the timing and scheduling of our planned investments – recommendations which will help us achieve better near-term results while we develop sustainable practices for this ongoing project. The four areas of improvement detailed in the roadmap were:
Improve customer service with automated metering
Modernize our meter management systems
Implement advanced operations management systems
Build additional capacities for our existing information technology systems
It's clear that IBM has made a strategic decision to focus on the opportunities and challenges facing cities around the world through its Smarter Cities program. They understand that a city is a 'system of systems,' and that comprehensive analyses of the ways these systems interact with one another and with the populations they serve are critical to improving the quality of life of citizens everywhere. IBM's selection of Tucson as a global smarter city has given us the chance to demonstrate that we have some of the highest standards for resource management, conservation, financial planning and community engagement for municipal water departments anywhere in the United States."
While this is certainly good for the environment, IBM's focus on helping the Earth become a smarter planet has been good for its bottom line as well. According to the latest 1Q 2013 financial results, IBM revenues related to Smarter Planet initiatives, including the Smarter Cities campaign, have increased 25 percent year-to-year.
Well, it's Tuesday again, and you know what that means! IBM Announcements!
Starting today, April 1, 2014, the IBM Executive Briefing Centers (EBC) are adopting a new self-hosted model. In the past, each briefing was assigned a "Briefing Host", a member of the EBC staff, who acted as [master of ceremonies] for the day (or more) for the clients. At some locations, if there were three rooms, there would be three or more briefing hosts so that concurrent briefings could be held.
However, the method does not scale. Having a person per briefing means that you are limited to the number of total concurrent briefings. Inspired by self-service provisioning and scalability of the Cloud, IBM has adopted a new methodology.
In the new model, the visiting client rep, sales rep, or IBM Business Partner will be handed instructions and a map. This will include the agenda, the schedule, biographies of each speaker, the locations of the nearest restrooms, and so on.
I can take partial credit for the idea. In 2012, I made the analogy that having briefing centers at each development lab made a lot of sense, because it allowed clients to interact directly with the engineers and executives that made development decisions. I also made the analogy that having a fully-staffed EBC was like a fire department, whether you have five briefings per month, or fifty, you need a team that is ready, staying abreast of the latest technological changes.
In my post, [Like animals in the zoo], I argued there are two kinds of zoos, the self-guided kind, where visitors are handed a map, versus the docent-guided kind, where a member of the zoo staff introduces you to each animal.
The EBC briefing hosts in this analogy were the docents, and the animals that people came to visit were the engineers and executives.
As for the fire department, IBM management flipped the analogy around. They argued that many smaller communities had "volunteer fire departments", eliminating the need to keep full-time employees doing nothing but playing cards and sliding down brass poles in between fire fighting sessions. When a fire happens, phones calls are made, and this will help get everyone notified to get involved.
In my past 28 years at IBM, I have to say that you know you have good analogies when they can be used in both directions. The zoo analogy was used to prevent management from consolidating all of the EBC staff to Austin, TX. The fire department analogy helped us keep all of our lab equipment to run demonstrations.
The new self-hosted model will address both scheduling and scalability issues. We often had two-day and three-day briefings, and scheduling the rooms, and the briefing managers, based on their availability, was quite challenging.
There are three advantages to the new method:
A coordinator will merely assign rooms, no longer worrying if a briefing host is available for those days. Now, each EBC location can run at full capacity, limited only by real estate and floor space.
Subject matter experts, like myself, that often did double-duty serving as briefing hosts as needed, will have more free time. I personally will be doing more "outbound briefings" to attend conferences and visit clients at their location, eliminating the time I need to be in Tucson to host "inbound" briefings.
The awkward silence that happens when the client rep, sales or IBM Business Partner invites all the clients and presenters, but forgets to invite the briefing host, is completely eliminated.
SNW wrapped up Thursday. As is often the case, a lot of people have left already.
I saw two presentations worth discussing here in this blog.
Angus MacDonald, CEO of Mathon Systems,presented "Litigation Readiness: How prepared are you for the demands of eDiscovery?"
The process of eDiscovery is to take a large volume of data and get the small bits of relevance, as it relatesto a case, investigation or litigation. In 2004, there were 64 billion emails per day, and this is expected to be 103 billion by 2008. There are growing concerns about the "spoliation" of evidence, which I thought was a typo,until I looked it up. He encouraged everyone to check out the Electronic Discovery Reference Model, which is trying to standardize the wayIT and legal communication with each other.
The problem is often miscommunication over semantics and terminology. For example, in eDiscovery, the term"production" describes the delivery of relevant documents to a judge or opposing party. This may involve printingthem out on paper, delivering them electronically in their original format, or converting to a more standardelectronic format like Adobe PDF. The judge or opposing party reserves the right to request how they want thedocuments produced. Of course, in any format other than the original format, authenticity needs to be affirmed.
He gave two example lawsuits related to this.
In Zubulake v. UBS Warburg, Zubulake was awarded $29 million because UBS stored old emails on backup tapes, rather than an archiving system, and could not locate seven of these backup tapes. This is not the first time I have seen some IT department, or some legal department, think that keeping backups of email repositories for many years is the same as keeping an "archive".
In Coleman Holdings v. Morgan Stanley, Coleman was awarded $1.45 billion because the judge felt that Morgan Stanley failed to do proper eDiscovery. This was after they tried to reconstruct their email system from 5000 old backup tapes.
Angus suggests identifying the types of documents most often requested, and start planning from there.In an interesting twist, the CEO/CFO/CIO might go to jail if the IT department doesn't do something correctly, so perhaps IT managers will now get the respect/funding/technology they need to get the job done.
Bruce Kornfeld, Compellent Technologies, presented "Building Systems that Scale: Imagining the one Petabyte per Admin management ratio."
Bruce did a good job staying generic, and not mentioning his company's products too much. Specifically, Compellentmakes a frame similar to what IBM used to call the "SAN Integration Server". Back in 2003, IBM introduced the SAN Volume Controller, which had no disk, and the "SAN Integration Server" which had controller + disk. What IBM learned was that customers prefer the diskless model, minimizing the amount of disk that has to be purchased from the original vendor, and instead opting to have the freedom to choose any vendor they like for the managed capacity.
An interesting feature of the Compellent solution is that they chop up the virtual disk into 2MB pieces, and allow these pieces to be moved automatically from high-speed (FC) to low-speed (SATA) disk, based on their reference frequency. This is similar to HSM, but at the block level, rather than the file level.
Every advantage Bruce listed for his box already exists from IBM: improved capacity planning, improved performance, ease of data migration, flexible volumes, and a single pane of glass GUI administration tool.
Perhaps more interesting were the questions from the audience:
Q1. Do you have any customers that have 1PB of your solution? No, we have several in the 200-500TB range.
Q2. You only have a single two-node cluster, can we have more clusters? No, that is all we support, but if you need that you would have to go to one of the major storage vendors (like IBM).
Q3. Do we have to buy Compellent storage to go with the Compellent controllers? Yes, it is designed so it is an integrated solution. If you need to virtualize your existing storage, you have to go to one of the major storage vendors (like IBM).
Q4. Having data migrate automatically from FC to SATA behind the scenes lowers performance and raises the risk of disk failure? Our box is designed for inactive data, so performance is not an issue.
Q5. How do you protect against double-disk failures? We don't, and these would be even more detrimental to our solution than traditional solutions. Other vendors offer RAID6, but we don't have that yet.
It was a fun week, and good to see people I have communicated with, but never met in person.
IBM has been holding various "Hackathons" and "Meetups" as a new way to reach out to prospective clients. IBM sponsored a meetup at the Austin Executive Briefing Center (EBC) to discuss Machine Learning with TensorFlow on IBM Power systems, October 26, 2017.
This was a joint event, co-sponsored by [IBM Watson/Cognitive Austin] and [Big Data/AI Revealed] meetup groups. Special thanks to my colleague Cathy Cocco, IBM Executive IT Architect with the IBM Austin EBC, for coordinating this event with their organizers.
(What is a Meetup? [Meetup.com is an online social networking website that facilitates in-person local group meetings. Meetup allows members to find and join groups unified by a common interest, such as books, games, pets, technology, careers or hobbies. In 2017, there are 32 million users with 280 thousand groups available across 182 countries.)
Here was the agenda for the event:
Registration, Pizza & Soft drinks
Tensorflow 101 presentation
Demo: Using TensorFlow for Financial Market Predictions on IBM POWER Systems
Lightning Talk: IBM Data Science Experience
Clarisse Taaffe-Hedglin: Intro to TensorFlow on IBM Power servers
Our guest speaker was my colleague Clarisse Taaffe-Hedglin, IBM Cognitive Senior Technical Architect, part of the same Worldwide Client Centers team that I work in. She flew in from Charlotte, NC.
Her topic was TensorFlow, an open source [Machine Learning] framework. TensorFlow was originally developed by Google, but was made open source in November 2015.
Machine Learning is popular in a variety of industries, from self-driving cars and trucks, speech recognition and video surveillance, to what movie to watch next on Netflix. There are three aspects to Machine Learning:
Data: Start with the data you want to analyze. This could be IoT sensor data, security logs, or social media feeds. Check out all that happens in an "Internet Minute"!
Compute: While mathematical computations can be performed on traditional CPUs, some frameworks are optimized and accelerated with Graphical Processing Units (GPU). These GPU can perform Teraflops of single and double precision calculations.
Technique: As methodology have gotten more complicated over the years, frameworks have evolved to match.
The [TensorFlow] framework is now one of the most popular among data scientists. You can download it for free at [Github].
Clarisse showed the various programming/calculation tools used by data scientists. The top five were: Python, R, SQL language, MapReduce, and Microsoft Excel.
Mathematical models come in many flavors. Clarisse explained they can be used to identify clusters of data that might have similar properties, or to perform classification, or linear regression. The results can be "descriptive", gaining a better understanding of what already is, or "predictive" for what might be.
Some frameworks like Chainer or Torch are more flexible, using a dynamic Build-by-Run approach. However, these do not scale well. Theano and TensorFlow, on the other hand, employ a Define-then-Run approach, which scales better for larger projects. With the growth in popularity with TensorFlow, the Theano framework has been "functionally stabilized".
Clarisse Taaffe-Hedglin: Financial Markets Demo
For the demo, Clarisse had historical stock closing data for USA, Australia and Asian stock markets. The hypothesis: We can determine a Buy/Sell for USA stocks based on the closing results of non-American stock results? This is a classic "Binary Classification" model. The other stock markets close 4-16 hours before the U.S. markets open, so this has real-world applicability.
Since the data was in different monetary units, she did some cleanup to normalize the data, removing out the trends, and converting everything to U.S. Dollars (USD).
Clarisse used "Supervised Learning" on 80 percent subset of the data, and then used the other 20 percent remaining data to validate how well it did.
As with any model, you measure how good it is by how close it results in the correct answer. Wrong answers are weighted by how bad they are. This is often referred to as "Loss" or "Cost". Different models can therefore be compared by minimizing the loss.
Using a simple y=wx+b mathematical model, she ran 30,000 iterations. After 5,000 iterations, the model was already guessing correctly 55 percent of the time, by the time we hit 30,000 this was up to 68 percent accuracy.
TensorFlow also supports "hidden layers", basically intermediate variables that are then used in subsequent layers for more complicated calculations. This is the way our brain works with neural networks. With two added layers, she re-ran the 30,000 iterations, and now was up to 73 percent accuracy.
Normally, this kind of analysis would take hours or days, but since TensorFlow takes advantage of the IBM Power8 CPU and NVidia Tesla K80 GPU in the IBM Power server, the whole thing finished in five minutes!
Tuhin Mahmed: Lightning Talk on IBM Data Science Experience (DSX)
Tuhin Mahmed, IBM Software Developer, is the organizer for the Big Data/AI meetup group. He wants to promote the idea of "Lightning Talks" where each person presents for just 10-15 minutes. This is a variant of the popular [Pecha Kucha] events.
To get things started, he presented 10-15 minutes on [IBM Data Science Experience], or DSX for short. Taking Multiple Listing Service (MLS) real estate data of closing prices on houses sold in a range of zip codes from the Austin Area, he mapped these on x-y axis. The x axis was square feet, and the y axis was closing price.
Using DSX, he was able to develop a mathematical model that estimates house closing prices based on their zip code and square footage.
This was a simple example, but it showed the power of Jupyter Notebooks, and how anyone can get a 30-day free trial of DSX for their own experimentation.
Currently, being a data scientist is more of an art than a science. This is one of those fields that takes only a few months to learn, but years to master.
Rather than building a model from scratch, data scientists can take existing models, and modify them to fit their needs. There are a variety of existing models available in what is called the "Model Zoo". Google has over 2,000 projects already.
Those interested in trying this out TensorFlow for themselves were directed to [Nimbix], a Cloud Service Provider that offers POWER servers with NVidia GPUs.
There were about 50 attendees, more than half identified themselves data scientists. As the first inaugural sponsored event for the IBM Austin EBC, I think this was a success!
If you are in the Austin area, the next meetup will be at the [Capital Factory] on Brazos Street on November 30, 2017.
New Generation Storage Tiering: Less Management, Lower Investment and Increased Performance
This was not just an update to my session last year in Brussels, Belgium. Rather, I decided to start over and focus I/O density as the metric to focus my efforts, armed with real data from Intelligent Storage Tiering Analysis (ISTA) studies done at various clients. From that, I was able to talk about storage tiering on three fronts:
Storage tiering between Flash and disk. IBM FlashSystem and IBM Easy Tier on DS8000 and Storwize family for hybrid Flash-and-disk configurations.
Storage tiering between disk and tape. HSM and Information Lifecycle Management (ILM) on SONAS, Storwize V7000 Unified and LTFS-EE.
Storage tiering automation across your entire environment. ISTA studies can help identify a target mix of Tier 0, Tier 1, Tier 2 and Tier 3 storage. SmartCloud Virtual Storage Center can recommend or perform the movement of LUNs to more appropriate tiers, based on age and I/O density measurements.
Next Generation FlashSystem 840 and V840, Architecture Deep Dive
Detlef Helmbrecht, from the IBM Advanced Technical Skills team in Germany, presented this deep dive in our latest IBM FlashSystem offerings. He started with an analogy. Latency is like a single car driving down an empty highway. IOPS, on the other hand, is like a lot of cars stuck in slow traffic, with all lanes filled on the autobahn. While there are more cars transported on a full highway, the individual cars are not driving very fast. Flash versus disk has similar comparisons.
Detlef explained the differences between the previous FlashSystem 810/820 with the new 840, as well as talk about the FlashAdapter 90 now available as a PCIe card.
Finally, we talked about SAN Volume Controller combined with Flash, and the new FlashSystem V840 which combines SVC and FlashSystem 840 to have an incredibly function-rich, robust solution.
Data Footprint Reduction - Understanding IBM Storage Efficiency Options
My last session of the week! This session covered all of the various technologies for data footprint reduction, including Thin Provisioning, Space-efficient FlashCopy and snapshots, Real-time compression and data deduplication. Frankly, I wasn't expecting many people to attend the last session of the last day, but nearly 50% of the seats were filled, so I was quite pleased on the turn-out.
Fun Fact: Istanbul is considered by TripAdvisor in 2014 as the #1 most popular city to visit in Europe!
Amy Hirst, IBM Director, z Systems, Power, & Storage Technical Training, kicked off the general session.
Dr. Seshadri "Sesha" Subbanna, IBM Corporate Innovation and Technology Evaluation, asked the audience what capability is needed to drive business growth. A recent poll indicated that the ability for businesses to innovate was the number one response.
The IT industry has had its own version of growth. Consider the Apollo 11 [Guidance Computer] used to land a man on the moon had just 4KB or RAM, and 36KB or ROM. A typical smartphone has 62,000,000 times as much.
The Appollo missions led and motivated the Integrated-Circuit technology, but soon, maybe in the next 10 years, Dr. Subbanna feels that Silicon may run its course. Today, both POWER8 and z13 servers are based on 22nm. IBM has projected possible reductions to 17nm, 13nm, 10nm, and finally 7nm. That's it, smaller than 7nm may not be possible without hitting atomic issues.
The City of Rio de Janeiro, Brazil is a good example. In 2010, heavy rains resulted in flooding and landslides that killed over 110 residents. To prevent such high death rates in the future, IBM helped the city government predictive analytics and forecasting that allows "rain simulations" to see how well the city can handle different situations.
IBM is already looking for a more holistic view of systems, and new technologies like cognitive computing. New 3D technology allows various chip technologies to be stacked as layers on a single chip. For example, you could have computer on the bottom layer, flash non-volatile storage in middle layers, and networking at top layer. Connecting the layers is merely a matter of drilling holds and filling them with metal.
The idea that compute is the center of the universe, with a mainframe server surrounded by input and output "peripheral" storage devices, is giving way to a more storage-centric model, where central storage repositories (or data lakes) are accessed by "peripheral" smartphones, tablets and variety of servers. For example, the IBM DB2 Accerlation Appliance acts as a storage-centric model that IBM z System mainframes can connect to, send data in, process complex database queries, and get the results 2000x faster.
In another client example, IBM helped a bank in China to determine optimal placement of bank branches, based on public information of average salary levels of each neighborhood.
CPU processors are also getting help from co-processor accelerators like GPU (Graphical Processing Unit) and FPGA (Field Programmable Gate Arrays). Comparing a single IBM POWER8 server that is CAPI-attached to an IBM FlashSystem to a stack of x86 servers with internal SSD, the POWER8 solution connsumes 12x less rackspace, consumes 12x less electricity, and reduces per-user costs from $24/user for x86 down to $7.50/user on POWER8.
While social media, mobile phones and the Internet of Things (IoT) generate a lot data. If you then factor the "context multiplier effect" of all the links, connections and cross-references, you quickly see that data is growing at incredible rates.
Another issue is the difficulty to identify application inter-dependencies. Forecasting disruptive anamolies can be quite difficult. In one example, adminstrators received warning messages 65 minutes before a major outage, but they did not respond in time because they were unable to understand the full implications.
Cognitive computing is different than the tabulating and programming paradigms of prior decades. It is focused on Natural Language Processing, citing evidence to base responsed, and the ability to learn and improve based on learning from experience. The IBM Watson group is working with Memorial Sloane Kettering to help oncology doctors with cancer patients.
In an interesting demo, IBM Watson computer analyzed thousands of "TED Talk" videos, and was able to respond to search queries by playing a 30-second video clip that most closely address the search topic.
Cognitive computing is also looking at "Neuro-Synaptic" chips that work very much like the neurons and synapses in the brain. I have seen some of this work already at the IBM Almaden Research Center in California.
The general session ended with a Q&A panel with Dr. Subbanna, Frank De Gilio, and Bill Starke.
My session on IBM Cloud Object Storage had three sections. First, I covered an overview of what "Object Storage" was in general, how this differs from traditional block or file storage approaches.
Second, I explained what is unique and different of IBM Cloud Object Storage System, formerly called DsNet from Cleversafe. IBM acquired Cleversafe in 2015.
Third, I explained the various applications, use cases and industries that can take advantage of Object Storage.
IBM Storage and the NVMe Revolution
Brian Sherman, IBM Distinguished Engineer for Storage Advanced Technical Services, presented an overview of NVMe, NVMe Over Fabric (NVMeOF) and what IBM is doing in this area.
How to Build a Rockstar Personal Brand
Andrea Edwards, The Digital Conversationalist, is a globally award winning B2B communications professional with more than 20 years' worth of experience from around the globe, including 12 years exclusively in Asia Pacific. IBM has hired her in the Asia Pacific region to train many IBMers in Social Media.
She condensed her normal 5-6 hour training down to a single hour for this event. She explained why building a personal brand was important, how to do it, and why businesses and organizations should encourage their employees to do so.
For example, who has the most influence on most people? Behind friends and family are bloggers. Bloggers are more influential than journalists, religious leaders, celebrities and politicians.
(As the #1 blogger of IBM, I am considered to already have a "rockstar personal brand". I am pleased to see that IBM is taking social media seriously. I have been blogging since 2006, and have influenced over $4 billion US dollars in IBM revenue in the past 11 years.)
IBM Spectrum Virtualize technical updates
Andrew Martin, IBM Spectrum Virtualize Support Architect, presented the last 18 months of enhancements to Spectrum Virtualize, from v7.6.1 introduced in March 2016 to v7.8.1 released earlier this year.
He managed to highlight quite a few enhnacements:
Distributed RAID 5 and RAID 6
Integrated Compresstimator tool
New hardware: SVC, Storwize V7000 Gen2+, Storwize V5000 Gen 2, and 92-drive 5U High Density Expansion Enclosure
N-Port ID Virtualization (NPIV)
Virtualization Over iSCSI
Encryption for Distributed RAID Arrays
64GB Read Cache
Tier 1 Flash Support
Compressed IP Replication
Spectrum Virtualize as Software for Lenovo and SuperMicro servers
Host Clusters and Throttling
Raised limit to 10,000 Volumes
Transparent Cloud Tiering
Storwize Model Conversions
IBM SKLM Support for Encryption
Consistency Protection for Metro and Global Mirror remote-distance replication
Andrew called this a "reverse roadmap", rather than a session that presents where we are going in the next 18 months, he presented where we have been.
Solution Center Reception
Here I am with Morgan Tracey and Jenna Brooker from Computer Merchants, an IBM Business Partner.
Not only were Computer Merchants a sponsor with a booth at the Solution Center, but they also gave a customer testimonial at one of the breakout sessions on how they were able to use IBM Artificial Intelligence to help with their business.
I also spent time at the SuSE booth. SuSE is a distributor of Linux that runs on x86, POWER and IBM Z mainframe systems.
While I was working, Mo took a tour to Phillip Island. On the way, they stopped at Maru to feed kangaroos and take pictures with Koala bears.
At Phillip Island, Mo watched penguins come out of the ocean, waddle up on shore and march to their burroughs. This happens every evening and is one of the top tourist attractions near Melbourne.
Continuing my coverage of the IBM Systems Technical University in Orlando, here are the sessions that I presented or attended on Day 2 (Tuesday).
Andrew Greenfield, IBM Global XIV Storage and Networking Client Technical Specialist, presented IBM's future plans for XIV and FlashSystem products. This was a special NDA session.
Eric Aquaronne, IBM Systems and Cloud Business Development lead, explained what OpenStack was, and why IBM is so heavily invested in its success. OpenStack is cloud management software that can be used to manager both on-premise and off-premise environments, including computer, storage and networking resources.
Software Defined Storage - Why? What? How?
Tony Pearson presented an overview of Software Defined Environments and how storage fits into this.
Suspiciously, there was a lot of overlap with Brian Sherman's presentation on Day 1. As Charles Caleb Colton would say, "Imitation is the sincerest form of flattery."
Making Sense of IBM Cloud Offerings
Jay Kruemcke, IBM Cloud Program Executive Client Collaboration Market Management Offering Manager, gave a high-level overview of IBM's various Cloud offerings from SoftLayer to Managed Cloud Services.
The Pendulum Swings Back - Understanding Converged and Hyperconverged environments
Tony Pearson presented IBM's involvement with Converged Systems like VersaStack and Hyperconverged systems with Spectrum Accelerate and Spectrum Scale software.
Next Generation Storage Tiering: Less Management, Lower Cost and Increased Performance
Tony Pearson presented Easy Tier, Storage Analytics Engine in Spectrum Control Advanced Edition, and Spectrum Scale tiering across flash, disk and tape media.
The second day ended with a "Networking" Reception in the Solution Center, serving food and my favorite grape-flavored beverages.