Tony Pearson is a Master Inventor and Senior IT Architect for the IBM Storage product line at the
IBM Executive Briefing Center in Tucson Arizona, and featured contributor
to IBM's developerWorks. In 2016, Tony celebrates his 30th year anniversary with IBM Storage. He is
author of the Inside System Storage series of books. This blog is for the open exchange of ideas relating to storage and storage networking hardware, software and services.
(Short URL for this blog: ibm.co/Pearson )
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Continuing my coverage of last week's Data Center Conference 2009, my last breakout session of the week was an analyst presentation on Solid State Drive (SSD) technology. There are two different classes of SSD, consumer grade multi-level cell (MLC) running currently at $2 US dollars per GB, and Enterprise grade single-level cell (SLC) running at $4.50 US dollars per GB. Roughly 80 to 90 percent of the SSD is used in consumer use cases, such as digital cameras, cell phones, mobile devices, USB sticks, camcorders, media players, gaming devices and automotive.
While the two classes are different, the large R&D budgets spent on consumer grade MLC carry forward to help out enterprise grade SLC as well. SLC means there is a single level for each cell, so each cell can only hold a single bit of data, a one or a zero. MLC means the cell can hold multiple levels of charge, each representing a different value. Typically MLC can hold 3 to 4 bits of data per cell.
Back in 1997, SLC Enterprise Grade SSD cost roughly $7870 per GB. By 2013, Consumer Grade 4-bit MLC is expected to be only 24 cents per GB. Engineers are working on trade-offs between endurance cycles and retention periods. FLASH management software is the key differentiator, such as clever wear-leveling algorithms.
SSD is 10-15 times more expensive than spinning hard disk drives (HDD), and this price difference is expected to continue for a while. This is because of production volumes. In 4Q09, manufacturers will manufacturer 50 Exabytes of HDD, but only 2 Exabytes of SSD. The analyst thinks that SSD will only be roughly 2 percent of the total SAN storage deployed over the next few years.
How well did the audience know about SSD technology?
4 percent not at all
30 percent some awareness
30 percent enough to make purchase decision
21 percent able to quantify benefits and trade-offs
15 percent experts
SSD does not change the design objectives of disk systems. We want disk systems that are more scalable and have higher performance. We want to fully utilize our investment. We want intelligent self-management similar to caching algorithms. We want an extensible architecture.
What will happen to fast Fibre Channel drives? Take out your Mayan calendar. Already 84mm 10K RPM drives are end of life (EOL) in 2009. The analyst expects 67mm and 70mm 10K drives will EOL in 2010, and that 15K will EOL by 2012. A lot of this is because HDD performance has not kept up with CPU advancements, resulting in an I/O bottleneck. SSD is roughly 10x slower than DRAM, and some architectures use SSD as a cache extension. The IBM N series PAM II card and Sun 7000 series being two examples.
Let's take a look at a disk system with 120 drives, comparing 73GB HDD's versus 32GB SSD's.
per HDD drive
per SSD drive
There are various use cases for SSD. These include internal DAS, stand-alone Tier 0 storage, replace or complement HDD in disk arrays, and as an extension of read cache or write cache. The analyst believes there will be mixed MLC/SLC devices that will allow for mixed workloads. His recommendations:
Use SSD to eliminate performance and throughput bottlenecks
Consolidate workloads to maximize value
Use SLAs to identify workload candidates
Evaluate emerging technologies along with established vendors
Do not expect SSD to drastically reduce power/cooling
SSD will continue to complement HDD, primarily SATA disk
Trust but verify, check out customer references offered by storage vendors
Continuing my coverage of last week's Data Center Conference 2009, held Dec 1-4 in Las Vegas, I attended an interesting session related to the battles between Linux, UNIX, Windows and other operating systems. Of course, it is no longer between general purpose operating systems, there are also thin appliances and "Meta OS" such as cloud or Real Time Infrastructure (RTI).
One big development is "context awareness". For the most part, Operating Systems assume they are one-to-one with the hardware they are running on, and Hypervisors like PowerVM, VMware, Xen and Hyper-V have worked by giving OS guests the appearance that this is the case. However, there is growing technology for OS guests to be "aware" they are running as guests, and to be aware of other guests running on the same Hypervisor.
The analyst divided up Operating Systems into three categories:
Operating systems that are typically used to support other OS by offering Web support or other infrastructure. Linux on POWER was an example given.
DBMS/Industry Vertical Applications
Operating systems that are strong for Data Base Management Systems (DBMS) and vertical industry applications. z/OS, AIX, HP-UX, HP NonStop, HP OpenVMS were given as examples.
General Purpose for a variety of applications
Operating systems that can run a range of applications, from Web/Infrastructure, DBMS/Vertical Apps, to others. Windows, Linux x86 and Solaris were offered as examples.
The analyst indicated that what really drove the acceptance or decline of Operating Systems were the applications available. When Software Development firms must choose which OS to support, they typically have to evaluate the different categories of marketplace acceptance:
For developing new applications: Windows-x86 and Linux-x86 are must-haves now
Declining but still valid are UNIX-RISC and UNIX-Itanium platforms
Viable niche are Non-x86 Windows (such as Windows-Itanium) and non-x86 Linux (Linux on POWER, Linux on System z)
Entrenched Legacy including z/OS and IBM i (formerly known as i5/OS or OS/400)
For the UNIX world, there is a three-legged stool. If any leg breaks, the entire system falls apart.
The CPU architecture: Itanium, SPARC and POWER based chipsets
Operating System: AIX, HP-UX and Solaris
Software stacks: SAP, Oracle, etc.
Of these, the analyst consider IBM POWER running AIX to be the safest investment. For those who prefer HP Integrity, consider waiting until "Tukwilla" codename project which will introduce new Itanium chipset in 2Q2010. For Sun SPARC, the European Union (EU) delay could impact user confidence in this platform. The future of SPARC remains now in the hands of Fujitsu and Oracle.
What platform will the audience invest in most over the next 5 years?
45 percent Windows
14 percent UNIX
37 percent Linux
4 percent z/OS
A survey of the audience about current comfort level of Solaris:
10 percent: still consider Solaris to be Strategic for their data center operations and will continue to use it
25 percent: will continue to use Solaris, but in more of a tactical way on a case-by-case basis
30 percent: have already begun migrating away
35 percent: Do not run Solaris
The analyst mentioned Microsoft's upcoming Windows Server 2008 R2, which will run only on 64-bit hardware but support both 32-bit and 64-bit applications. It will provide scalability up to 256 processor cores. Microsoft wants Windows to get into the High Performance Computing (HPC) marketplace, but this is currently dominated by Linux and AIX. The analyst's advice to Microsoft: System Center should manage both Windows and Linux.
Has Linux lost its popularity? The analyst indicated that companies are still running mission critical applications on non-Linux platforms, primarily z/OS, Solaris and Windows. What does help Linux are old UNIX Legacy applications, the existence of OpenSolaris x86, Oracle's Enterprise Linux, VMware and Hyper-V support for Linux, Linux on System z mainframe, and other legacy operating systems that are growing obsolete. One issue cited with Linux is scalability. Performance on systems with more than 32 processor cores is unpredictable. More mature operating systems like z/OS and AIX have stronger support for high-core environments.
A survey of the audience of which Linux or UNIX OS were most strategic to their operations resulted in the following weighted scores:
140 points: Red Hat Linux
71 points: AIX
80 points: Solaris
40 points: HP-UX
41 points: Novell SUSE Linux
19 points: Oracle Enterprise Linux
29 points: Other
The analyst wrapped up with an incredibly useful chart that summarizes the key reasons companies migrate from one OS platform to another:
Reduce Costs, Adopt HPC
DBMS, Complex projects
Availability of Admin Skills
Performance, Mission Critical Applications
Availability of Apps, leave incumbent UNIX server vendor
Consolidation, Reduce Costs
Certainly, all three types of operating system have a place, but there are definite trends and shifts in this marketspace.
Continuing my coverage of last week's Data Center Conference 2009, I attended another "User Experience" that was very well received. This time, it was Henry Sienkiewicz of the Department Information Systems Agency (DISA) presenting a real-world example of the business model behind a private cloud implementation. DISA is the US government agency that develops and runs software for the Army, Navy and Air Force.
Being part of the military presents its own unique set of challenges:
Acquisition of hardware to develop and test software is difficult
Budgets fluctuate so an elastic pay-for-use was desirable
End user access had to be secure and meet government regulations
It had to meet the technical aspects of scalable, elastic, dynamic, multi-tenant using shared resources
Using Cloud Computing simplifies provisioning, encourages the use of standards, and provides self-service. DISA has several solutions.
Rapid Access Computing Environment (RACE)
RACE is an internal private cloud with 24-hour provisioning for development and test requests, and 72 hour provisioning for production requests. The amount used is billed on a month-to-month basis, and offers a self-service portal so that developers and administrators can just pick and choose what they need. The result is a hosted server, similar to what you get from 1and1.com or GoDaddy.
Global Content Delivery Service (GCDS)
This provides long-term storage of data. An internal version of "Cloud Storage" for archive and fixed content.
This provides a place to maintain source code, basically their internal version of "SourceForge" used by Open Source projects.
In their traditional approach, a software project would take six months to procure the hardware, another 6-12 months code and test, and then another 6 months in certification, for a total of 18-24 months. With the new Cloud Computing approach that DISA adopted, procurement was down to 24-72 hours with RACE, code test took only 2-6 months with Forge.Mil, and certification could be done in days on RACE, resulting in a new total of only 3-6 months. Some challenges they found:
Service Level management and continuing the use of ITIL best practices
Balancing Military-level Security with Self-service Usability
Internal Funding and Chargeback, they had even adopted a way for developers to pay with their credit card
Cultural inertia, developers don't like to change or do things in a different way
Some lessons learned from this two-year experience:
It's a journey. Most of the user experiences for cloud adoption took two or more years to complete
Infrastructure Fundamentals continue to matter
Know your "marketplace", in this case, software development for military applications
Engage in your end-users early. In this case, Henry had wished he had involved input from software developers that would be using RACE, GCDS and Forge.MIL earlier in the process.
Return on Value analysis, this is different than Return on Investment, as many of the benefits of cloud like higher morale are intangible at first
Avoid fixed costs in negotiations with vendors. For example, he cited they use a lot of IBM because of IBM's pay-for-use billing model. They pay for MIPS used on IBM mainframes, and their IBM Tivoli software pricing is usage-based.
This is my final post on my coverage of the 30th annual [Data Center Conference]. IBM was a Platinum sponsor, and there were over 2,600 attendees, of which 27 percent were IT Directors or higher. Two thirds of the companies have 5000 employees or more. Here is a recap of the last few sessions I attended.
Best Practices for Data Center consolidation
As if the conference co-chairs aren't already super-busy, here they are presenting one of the breakout sessions. In the 1990s, consolidation was done purely to reduce total cost of ownership (TCO). Today, there are a variety of other reasons, including issues with power and cooling, service level agreements, and security.
Of these, 25 percent plan to have more data centers in three years, and 47 percent plan to consolidate to fewer. The benefits to consolidation include economies of scale, staff reduction, reduced hardware facilities costs, and application retirement. Challenges include dealing with politics, building new facilities to replace the old ones, and bandwidth. Here were some of the primary reasons why data center consolidation projects fail:
Human Resources (HR) issues
Resources not freed available
Lack of Project Management skills
No rationalization at consolidated site
Interactive Polling Results
The last keynote session was Thursday morning. The conference co-chairs present the highlights of the interactive polling that was done during the week at this conference.
The first topic was social media. There was a lot of Twitter activity with hashtag #GartnerDC that I followed throughout the week. Most of the tweets seem to be from people who were not actually at the conference.
Some 45 percent of the attendees have implemented social media initiatives at their companies. What tooling are they using to accomplish this? There are some provided by the major ITSM vendors, tools specific for corporate social media such as Yammer, collaboration tools like Microsoft SharePoint and IBM's Lotus Connections, and public sites like Facebook and Twitter. Here were the poll results:
The next topic was focused on Mobile devices and Cloud Computing. For example, do companies store data in public cloud, or plan to in the future, for mobile devices?
One third of the attendees allow employees to bring their own tablet to work with full IT support. Only 18 percent allow employees to bring their own PC or laptop. Over 40 percent felt that their IT department was not yet ready to support smartphones.
What are the main drivers to adopt private cloud? Some are deploying private clouds as a way to defend their IT jobs from going to the public cloud. Here were the poll results:
What problems are companies trying to solve with cloud computing? Here were the poll results:
A majority of attendees that use VMware are exploring LInux KVM, such as Red Hat Enterprise Virtualization (RHEV) or Microsfot Hyper-V. What storage protocol are attendees using for their server virtualization? Here were the poll results:
The next topic was the process for IT service management. The top three were ITIL, CMMI and DevOps, with the majority using ITIL or ITIL in combination with something else. These are needed for release management, change management, performance management, capacity management and incident management. How collaborative is the relationship between IT operations and application development? Here were the poll results:
How well does IT operations contribute to business innovation? This year 38 percent were satisfied, and 33 percent unsatisfied. This was a big improvement over last year, that found 19 percent satisfied, 64 percent unsatisfied.
Building a Private Storage Cloud: Is It a Science Experiment?
While everyone understands the benefits of private and public cloud computing, there seems to be hesitation about hosted cloud storage. Some people have already adopted some form of cloud storage, and other plan to within 12 months. Here were the poll results:
The top three reasons for considering public cloud storage was to adopt lower-cost storage tier, to benefit from off-site storage, and staff constraints. The top concerns were security and performance.
The IT department will need to start thinking like a cloud provider, and perhaps adopt a hybrid cloud approach. What IT equipment can be re-used? What will the new IT operations look like in a Cloud environment? What were the primary use cases for cloud storage? Here were the poll results:
In addition to the major cloud providers (IBM, Amazon, etc.) there are a variety of new cloud storage startups to address these business needs.
So that wraps up my coverage of this conference. In addition to attending great keynote and breakout sessions, I was able to have great one-on-one discussions with clients at the Solution Showcase booth, during breaks and at meals. IBM's focus on Big Data, Workload-optimized Systems, and Cloud seems to resonate well with the analysts and attendees. I want to give special thinks to Lynda, Dana, Peggy, Hugo, David, Rick, Cris, Richard, Denise, Chloe, and all my colleagues, friends and family from Arizona for their support!
With my colleague, Mike Griese, presenting TPC 5.1 and the IBM SmartCloud Virtual Storage Center earlier this week, you might wonder what is left to say. Mike's session was intended more for clients who already have TPC deployed, but my session is more of an introductory session.
I was the original architect of the product back in 2000-2003, so have some insight into the history, motivations and design principles applied to each version of the product. It has evolved nicely over the years, and while I am no longer working full-time on the product, I am still very much involved, and am consulted by the current architects and product managers for direction and opinion going forward.
I presented an overview of the overall product as it stands today in its current v4.2.2 version, and gave a few highlights of what to expect in the upcoming TPC 5.1 announced this week.
Encryption and Key Management in the Cloud: The Top 6 Concerns to Ensure a Secure and Reliable Solution
This was a split session with two speakers. The first speaker was Richard Moulds, VP of Strategy and Marketing from Thales, and the second speaker was Gordon Arnold, IBM Senior Technical Staff Member (STSM) and Software Architect for Tivoli Security Management.
Richard presented security issues in the cloud. He is an author of several books, including "Key Management for Dummies" and "Data Protection and PCI Compliance for Dummies". Thales is a large French companay of 70,000 people nobody in the USA has heard of, but is a major company in the area of IT Security. He presented survey results about people's perceptions and attitudes towards encryption and security issues in the cloud.
The security threats in the Cloud were presented as the "Seven Deadly Sins":
Data loss and leakage, including data that is not deleted with resources are re-used for other purposes
Shared technologies, especially in Cloud environments that do not have robust multi-tenancy
Malicious insiders, such as administrators being bribed to provide access to sensitive data
Account or service hijacking, including those that pretend to be someone else, asking for password resets
Insecure APIs for applications and services, many of these APIs were developed quickly, recently, and perhaps without the robust review from a security perspective
Abuse of the Cloud, such as using the Cloud itself to crack passwords or break decryption passwords through parallel processing
Unknown risk profile, as few Cloud providers have certified security capabilities
Gordon Arnold (IBM) presented IBM's Encryption and Key management. IBM has two products: IBM Tiovli Key Lifecycle Manager (TKLM) and IBM Security Key Lifecycle Manager (SKLM). These are KMIP v1.0 compliant today. The OASIS group is currently reviewing KMIP v1.1 enhancements that includes some suggestions from IBM.
IBM's use of Key Encrypting Keys on disk and tape has proven to be quite useful. The only copy of the encryption key is on the media, and is then encrypted by an authorization key. If you need to defensibly delete the data for compliance reasons, you can simply destroy the encrption key.
At lunch, I spoke with Scott Laningham who was doing video interviews. For years, Scott was the #1 blogger on IBM developerWorks until I took over the title last year. We discussed working on a video in the future on this.
This week I am in Orlando, Florida for the IBM Edge conference. Thursday evening after all the other sessions, we had a Free-for-All, a Q&A panel across all storage topics, moderated by Scott Drummond. The conference officially ends at noon tomorrow, but for many, this is the last session, as people fly out Friday morning. Here are the questions and the panel responses during the session.
When will IBM unify their storage management between Mainframe z/OS and the distributed systems platforms?
IBM offers a Change and Configuration Management Data Base (CCMDB) for this purpose with appropriate collectors from z/OS and distributed systems, but hasn't sold well.
When will IBM devices have RESTful interfaces?
Both IBM Systems Director and IBM Tivoli Storage Productivity Center (TPC) offer RESTful APIs. IBM Systems Director can manage z/VM and Linux on System z, as well as Power Systems and x86 based distributed systems. Since October 2008, IBM's Project Zero introduced RESTful interfaces to PHP and Groovy software running on WebSphere sMash environments. We have not heard much about this since 2008.
Will IBM TPC support NPIV on Power Systems?
TPC 5.1 has toleration support for this, showing the first port connection discovered, but not all connections, and we expect to retrofit this toleration to TPC 4.2.2 Fixpack 2. Hopefully, we will have full support in a future release.
We would like TPC for Replication to run on Linux for System z. We do not run z/OS at the disaster recovery site location.
Submit an IBM Request for Enhancement [RFE] for this. We have TPC for Replication on z/OS, as well as the distributed systems version that runs on Windows, Linux and AIX.
We have enhancements we would like to see for XIV and SONAS also, can we use the RFE process for this also?
Yes, submit the requirements for our review.
We heard the Statement of Direction that there would be storage integrated into the PureSystems. What exactly does that mean?
The PureSystems family of expert-integrated systems is based on a new chassis that has a front part, a midplane, and a back-part. All IBM System Storage products that support x86 and Power Systems can work with PureSystems. However, IBM does not yet offer storage that fits in the front part of the PureFlex chassis, but the Statement of Direction indicates that we intend to offer that option. Until then, the IBM Storwize V7000 is the storage of choice that can be put into the PureSystems rack, but outside the individual chasses.
We see some features like Real-Time Compression being put into the SAN Volume Controller (SVC), and other features put into the back-end devices. How are we supposed to make sense of this?
IBM's new pilot program, the SmartCloud Virtual Storage Center, to bring these all together. In general, we have design teams of system architects that determine which features go in which products, and prioritize accordingly.
We heard the IBM Executives during the opening session indicate that IBM's strategy involves supporting Big Data, but I haven't seen any storage that supports native Hadoop interfaces. Did I miss something?
First, I want to emphasize that Big Data is more than just MapReduce workloads. IBM offers Streams and BigInsights software to handle text, as well as Business Intelligence and Data Warehouse solutions for structured data. IBM's General Parallel File System (GPFS) has a Shared-Nothing-Cluster (SNC) mode with Hadoop interfaces that runs twice as fast as Hadoop's native HDFS file system. The storage products we recommend for Big Data are the SONAS and the DCS3700 disk systems, as both are optimized for the sequential workloads Big Data represents.
Everytime we upgrade our SVC, we review the list for SDDPCM multi-pathing and see that we need to upgrade our back-end DS8000 microcode up to recommended levels. Can we get a list of combinations that work from other customers?
The advantage of storage hypervisors like SVC is that we can separate the multi-pathing driver from the back-end managed disk systems. You only need the SDDPCM to support the SVC, not the back-end devices. For the most part, SVC has not dropped support for any level of previously supported OS or multi-pathing software.
On SVC, when we migrate volumes (vDisks) from one storage pool to another, we would like to throttle this process during FlashCopy.
Yes, we had several requests like this, which is why we now recommend using Volume Mirorring to perform migrations. In fact the GUI wizard uses Volume Mirroring by default when migrations are performed. As for throttling, IBM has implemented "I/O Priority Manager" that offers Quality of Service classes for DS8000 and XIV Gen3, and might consider porting this to other products in our portfolio.
Sizing systems is an art. I just need to know if the DS8000 is running hot. Can we have the equivalent of "red lines" for our disk systems similar to automobile engines?
Storage Optimizer was added to TPC 4.2 to help in this area, identifying heat-maps for IBM DS8000, DS6000, DS5000, DS4000, SVC and Storwize V7000. We recommend you look at the performance violation reports.
How can we evaluate the characteristics of our workloads?
Yes, TPC can do this.
When we are replacing non-IBM storage with IBM, we don't have good tools to evaluate the non-IBM equipment. What is IBM doing for this?
IBM's Disk Magic modeling tool can take inputs from a variety of sources, including iostat from the servers themselves. You can also install a 90-day trial of TPC to help with this.
We really like EMC's "Grab" program, does IBM have one also?
Updating the Host Attachment Kit (HAK) for AIX is quite painful for the SVC. We prefer the method employed for the XIV.
Thanks for the feedback.
For SVC, we need to correlate disk with VMware and VIOS. Can we get vSCSI information on VIOS?
TPC 5.1 has this support, and we believe it has been retrofitted to TPC 4.2.2 Fixpack 2, coming out this month.
Currently, with SVC, when volumes are part of a Global Mirror (GM) session, we need to cancel GM, expand the source volume, expand the target volume, then restart GM. We would like this to be fully automated and non-disruptive.
Sounds like a great requirement to submit for the RFE process.
Can we get an RSS Feed for the RFE community.
Yes, you can subscribe to it. You can also set up "Watch Lists".
Thanks to all of the IBM experts on the panel for their participation at this event!
This week I am in Orlando, Florida for the IBM Edge conference. Here is a recap of Day 4 afternoon sessions which related to Cloud computing.
IBM SmartCloud Enterprise -- Object Storage
George Contino, IBM GTS Consultant for Cloud Storage Service Enablement, presented IBM's latest Object Storage offering, based on an alliance IBM formed with Nirvanix last October 2011, launched January 31, 2012. It is part of the IBM SmartCloud Enterprise system.
IBM currently has two datacenters for this now, Secaucus NJ and Frankfurt Germany, but will have five by end of 2012, and hopefully seven datacenters by nid-year 2013.
The storage is then divided in several layers:
Customer master account, assigned a 128-bit encryption key
Name spaces by department or LOB
User file objects
The objects are given random names, with the real customer-assigned file names stored elsewhere, to provide additional privacy through obfuscation. For added security, it uses Two-Factor Authentication, requiring the users to provide both the 128-bit encryption key and the password.
There are three ways to access data:
Proprietary API - An API is available on Windows and Linux. Symantec NetBackup, BackupExec and Commvault Simpana have already coded to the Nirvanix API to allow backups to be stored in the Nirvanix storage cloud. IBM InfoSphere Optim can archive data to the Nirvanix storage cloud.
CloudNAS - Nirvanix provides software that provides CIFS and NFS interfaces, that converts to the Nivranix API. IBM Tivoli Storage Manager can send backups and archives to the Nirvanix storage cloud using this approach.
Cloud Storage Gateway - Third parties have developed hardware that runs the CloudNAS software, or directly codes to the API, to provide standard interfaces to the local clients, and provides access to the Nirvanix storage cloud. Two examples were Panzura File System Controller and Twinstrata Cloud Array Gateway.
One of Nirvanix's partners is OxygenCloud, which allows mobile/laptop access to work files. This includes security checks on Active Directory or LDAP, AES-256 bit encryption and HTTPS protocol support. For example, if you had to give a bunch of PDF files to your clients outside your company, you could create a folder, and send out a URL link to the clients, and this link would be valid for the next 14 days for them to download the files.
How University of Wisconsin-Milwaukee (UWM) moved SAP to the Cloud
Maik Gasterstaedt, IBM Technical Enablement for SAP, Storage and Cloud solutions, presented this session on the deployment of an SAP cloud at UWM. Worldwide, SAP has established five University Competency Centers (UCC) to provide SAP cloud services to other universities, and UWM is one of these five UCC.
Basically, the UWM manages SAP instances that are then "rented out" to 107 other universities. An SAP instance represents a "sample company" that could be used in a course curriculum, for example, "Global Bikes, Inc.", "Fitter Snacker", or IDES. An SAP Client represents a fresh copy of the data for this sample company.
UWM charges each University per "SAP client" per semester. Suppose a professor will teach three classes on SAP. He can arrange the SAP clients depending on how much he is willing to spend.
Get one SAP Client to be shared across all three classes. All three classes would be using the same sample company.
Get an SAP Client for each class. Each class could be based on the same or different sample companies.
Get one or more SAP Clients for each class. In this case, for example, a class could get two or more sample companies.
The problem was that they were running on Sun servers approaching end-of-life. They decided to switch to IBM, running 43 SAP Instances on AIX with two Power750 servers, 7 SAP instances on Windows guests of VMware across two BladeCenter chassis using HS22 blades, XIV storage, backed up by Tivoli Storage Manager and Tivoli Storage FlashCopy Manager. They can run 50 SAP clients on each SAP instance. Each client could be rented out to different professors at different universities.
They started installation April 1, and the entire system was running in production by August 15, less than five months end-to-end.
The results were stunning. SAP instance provisioning used to take 5 days, now takes 12 hours. Backups that used to take an hour complets in about 30 seconds.
The conference is almost over folks! Just a few sessions tomorrow and then it is all done.
It's Thursday here at the [Data Center Conference] here in Las Vegas. Trying to keep up with all the sessions and activities has been quite challenging. As is often the case, there are more sessions that I want to attend than I physically am able to, so have to pick and choose.
Making the Green Data Center a Reality
The sixth and final keynote was an expert panel session, with Mark Bramfitt from Pacific Gas and Electric [PG&E], and Mark Thiele from VMware.
Mark explained PG&E's incentive program to help data centers be more energyefficient. They have spent $7 million US dollars so far on this, and he has requested another$50 million US dollars over the next three years. One idea was to put "shells" aroundeach pod of 28 or so cabinets to funnel the hot air up to the ceiling, rather than havingthe hot air warm up the rest of the cold air supply.
The fundamental disconnect for a "green" data center is that the Facilities team pay for the electricity, but it is the IT department that makes decisions that impact its use. The PG&E rebates reward IT departments for making better decisions. The best metric available is"Power Usage Effectiveness" or [PUE], which is calculated by dividing total energy consumed in the data center, divided by energy consumed by the IT equipment itself.Typical PUE runs around 3.0 which means for every Watt used for servers, storage or network switches, another 2 Watts are used for power, cooling, and facilities. Companies are tryingto reduce their PUE down to 1.6 or so. The lower the better, and 1.0 is the ideal.The problem is that changing the data center infrastructure is as difficult as replacingthe phone system or your primary ERP application.
While California has [Title 24], stating energy efficiency standards for both residential and commercial buildings, it does notapply to data centers. PG&E is working to add data center standards into this legislation.
The two speakers also covered Data Center [bogeymans], unsubstantiated myths that prevent IT departments fromdoing the right thing. Here are a few examples:
Power cycles - some people believe that x86 servers can typically only handle up to 3000 shutdowns, and so equipment is often left running 24 hours a day to minimize these. Most equipment is kept less than 5 years (1826 days), so turning off non-essential equipment at night, and powering it back on the next morning, is well below this 3000 limit and can greatly reduce kWh.
Dust - many are so concerned about dust that they run extra air-filters which impactsthe efficiency of cooling systems air flow. New IT equipment tolerates dust much betterthan older equipment.
Humidity - Mark had a great story on this one. He said their "de-humidifier" broke,and they never got around to fixing it, and they went years without it, realizing they didn't need to de-humidify.
The session wrapped up with some "low hanging fruit", items that can provide immediate benefit with little effort:
Cold-aisle containment--Why are so few data centers doing this?
Colocation providers need to meter individual clients' energy usage -- IBM offers the instrumentation and software to make this possible
Air flow management--Simply organizing cables under the floor tiles could help this.
Virtualization and Consolidation.
High-efficiency power supplies
Managing IT from a Business Service Perspective
The "other" future of the data center is to manage it as a set of integrated IT services,rather than a collection of servers, storage and switches.IT Infrastructure Library (ITIL) is widely-accepted as a set of best practices to accomplish this "service management" approach. The presenter from ASG Software Solutions presented their Configuration Management Data Base (CMDB) and application dependency dashboard. Theyhave some customers with as many as 200,000 configuration items (CIs) in their CMDB.
The solution looked similar to the IBM Tivoli software stack presented earlier this yearat the [Pulse conference].Both ASG and IBM "eat their own dog food", or perhaps more accurately "drink their own champagne", using these software products to run their own internal IT operations.
For many, the future of a "green" data center managed as a set of integrated service are years away, but the technologies and products are available today, and there is no reasonto postpone these projects any longer than necessary. For more about IBM's approach togreen data center, see [Energy EfficiencySolutions]. You can also take IBM's[IT Service Management self-assessment] to help determine whichIBM tools you need for your situation.
Lagasse, Inc. sells janitorial supplies, such as mops, cleaning chemicals, waste receptacles, and garbage can liners. Of the 1000 employees of Lagasse nationwide, about 200 associates were located in New Orleans at their main Headquarters, primary customer care center, and primary IT computing center.
Amazingly, Lagasse did not have a formally documented BCP (Business Continuity Plan) but more of aBCI (Business Continuity Idea). They chose to take a ["donut tire"] approach, putting older previous-generation equipment at their DR site. They knew that in the event of a disaster,they would not be processing as many transactions per second. That was a business trade-offthey could accept.
Evaluating all the different threat scenarios for impact and likelihood, and focused on hurricanes and floods.They had experienced previous hurricanes, learning from each,with the most recent being 2004 Hurricane Ivan and 2005 Hurricane Dennis. From this, they wereable to categorize three levels of DR recovery:
Tier 1 - The most mission-critical, which for them related to picking, packing and shipping products.
Tier 2 - The next most important, focused on maintaining good customer service
Tier 3 - Everything else, including reporting and administrative functions
The time-line of events went as follows:
The US Government issues warning that a hurricane may hit New Orleans
August 27 - 7pm
Lagasse declares a disaster, starts recovery procedures to an existing IT facility in Chicago, owned by their parent company. A temporary "Southeast" Headquarters were set up in Atlanta.Remote call centers were identified in Dallas, Atlanta, San Antonio, and Miami.
August 28 - just after midnight
In just five hours, they recovered their "Tier 1" applications.
August 28 - 7:30pm
In just over 24 hours, they recovered their "Tier 2" applications.
August 29 - 6am
The Hurricane hits land. With 73 levees breached, the city of New Orleans was flooded.
The following week
Lagasse was fully operational, and recorded their second and third best sales days ever.
I was quite impressed with their company's policy for how they treat their employees during a disaster. For many companies, people during a disaster prioritize on their families, not their jobs.If any associate was asked to work during a disaster, the company would take care of:
The safety of their family
The safety of their pets. (In the weeks following this hurricane, I sponsored people in Tucson to go to New Orleans to attend to lost and stray dogs and cats, many of which were left behind when rescuers picked up people from their rooftops.)
Any emergency repairs to secure the home they leave behind
Marshall felt that if you don't know the names of the spouse and kids of your key employees, you are not emotionally-invested enough to be successful during a disaster.
For communications, cell phones were useless. They could call out on them, but anyone with acell phone with 504 area code had difficulty receiving calls, as the calls had to be processedthrough New Orleans. Instead, they used Voice over IP (VoIP) to redirect calls to whichever remote call center each associate went to. Laptops, Citrix, VPN and email were considered powerful tools during this process. They did not have Instant Messaging (IM) at the time.
While the disk and tapes needed to recover Tiers 1 and 2 were already in Chicago, the tapes for Tier 3 were stored locally by a third-party provider. When Lagasse asked for thier DR tapes back, the third-party refused, based on their [force majeure] clause. Force majeure is a common clause in many business contracts to free parties from liabilityduring major disasters.Marshall advised everyone to strike out any "force majeure" clauses out of any future third-party DR protection contracts.
Hurricane Katrina hit the US hard, killing over 1400 people, and America still has not fully recovered. The recovery of thecity of New Orleans has been slow. Massive relocations has caused a deficit of talent inthe area, not just IT talent, but also in the areas of medicine, education and other professions. The result has been degraded social services, encouraging others to relocate as well. Some have called it the "liberation effect", a major event that causespeople to move to a new location or take on a new career in a different field.
On a personal note, I was in New Orleans for a conference the week prior to landfall, and helped clients with their recoveries the weeks after. For more on how IBM Business Continuity Recovery Services (BCRS) helped clients during Hurricane Katrina, see the following [media coverage].
The booths at a typical week-long tradeshow only go from day 2 to day 4, so that day 1 and day 5 can be used for unpacking and repacking all of the demo equipment and displays. This was the case here at the27th annual [Data Center Conference] here in Las Vegas.
The solution showcase ended Thursday afternoon.
From left to right:George Lane, Ron Houston, Cris Espinosa, Patty Congdon, David Bricker, Paula Koziol, Steve Sams, Tony Pearson,Gary Fierko, Diane Hill, David Share, Nick Sardino, Carla Fleming, Bruce Otte.
Gary Fierko and I discuss the IBM's vision and strategy, the TS7650G ProtecTIER gateway, and the differences between LTO-4 and IBM Enterprise tape, with an attendees at the booth.
Behind the scenes were folks from the [George P. Johnson company] that run events.Deniese Dunavin here helped us be successful at this conference!
Here are just a portion of all the sponsors that made this event possible, printed on bags given to each attendee.
After the booths closed down, we were invited to several different hospitality suites, sponsoredby different vendors.
The Cisco hospitality suite had an Elvis impersonator and a beautiful bride. Her name was Trixie.
The bouncers at the Computer Associates (CA) hospitality suite wore the same shade of green and blue colors from their logo.
The APC hospitality suite went with an Island/Pirate theme.
The Brocade hospitality suite rocked the Casbah! Yes, that is a REAL snake she is holding.
Michael Nixon, a presenter from NEC Corporation of America.
By the time we got to the Data Domain hospitality suite, they were out of "dedupe-tinis", most ofthe attendees had left, but they were giving out these bumper stickers. For those considering Data Domain,you might want to look at the IBM TS7650G Virtual Tape gateway, which also provides inline datadeduplication, but about six times faster ingest rate.
Continuing my coverage of the 30th annual [Data Center Conference]. here is a recap of Wednesday breakout sessions.
Aging Data: The Challenges of Long-Term Data Retention
The analyst defined "aging data" to be any data that is older than 90 days. A quick poll of the audience showed the what type of data was the biggest challenge:
In addition to aging data, the analyst used the term "vintage" to refer to aging data that you might actually need in the future, and "digital waste" being data you have no use for. She also defined "orphaned" data as data that has been archived but not actively owned or managed by anyone.
You need policies for retention, deletion, legal hold, and access. Most people forget to include access policies. How are people dealing with data and retention policies? Here were the poll results:
The analyst predicts that half of all applications running today will be retired by 2020. Tools like "IBM InfoSphere Optim" can help with application retirement by preserving both the data and metadata needed to make sense of the information after the application is no longer available. App retirement has a strong ROI.
Another problem is that there is data growth in unstructured data, but nobody is given the responsibility of "archivist" for this data, so it goes un-managed and becomes a "dumping ground". Long-term retention involves hardware, software and process working together. The reason that purpose-built archive hardware (such as IBM's Information Archive or EMC's Centera) was that companies failed to get the appropriate software and process to complete the solution.
Cloud computing will help. The analyst estimates that 40 percent of new email deployments will be done in the cloud, such as IBM LotusLive, Google Apps, and Microsoft Online365. This offloads the archive requirement to the public cloud provider.
A case study is University of Minnesota Supercomputing Institute that has three tiers for their storage: 136TB of fast storage for scratch space, 600TB of slower disk for project space, and 640 TB of tape for long-term retention.
What are people using today to hold their long-term retention data? Here were the poll results:
Bottom line is that retention of aging data is a business problem, techology problem, economic problem and 100-year problem.
A Case Study for Deploying a Unified 10G Ethernet Network
Brian Johnson from Intel presented the latest developments on 10Gb Ethernet. Case studies from Yahoo and NASA, both members of the [Open Data Center Alliance] found that upgrading from 1Gb to 10Gb Ethernet was more than just an improvement in speed. Other benefits include:
45 percent reduction in energy costs for Ethernet switching gear
80 percent fewer cables
15 percent lower costs
doubled bandwidth per server
Ruiping Sun, from Yahoo, found that 10Gb FCoE achieved 920 MB/sec, which was 15 percent faster than the 8Gb FCP they were using before.
IBM, Dell and other Intel-based servers support Single Root I/O Virtualization, or SR-IOV for short. NASA found that cloud-based HPC is feasible with SR-IOV. Using IBM General Parallel File System (GPFS) and 10Gb Ethernet were able to replace a previous environment based on 20 Gbps DDR Infiniband.
While some companies are still arguing over whether to implement a private cloud, an archive retention policy, or 10Gb Ethernet, other companies have shown great success moving forward!
Continuing my coverage of the Data Center Conference 2009, we had a keynote session on Wednesday, Dec 2 (Day 3) that focused on the key technologies to watch for the data center.
It seems like every session this week mentioned Cloud Computing. It is service- based, scalable and elastic both upwards and downwards, uses shared resources and internet standards, and can be metered by use. There are three focal points related to Cloud Computing:
Consuming Cloud Services offered by other providers
Developing cloud-enabled applications and solutions
Implementing an internal "Prviate Cloud"
The analyst used the term "service boundary" to distinguish between IaaS, PaaS and SaaS cloud service models. For those still confused, here is how I explain Cloud Computing, using that analogy of transportation as an example.
You buy a car to get around town. You need to have a drivers license, carry liability insurance, and have a place to park your vehicle. You get to pick the make, model and color. You need to come up with thousands of dollars up front, or arrange some form of financing for monthly payments. It could take days or weeks to purchase, as you test drive different ones, research online, and check out feature comparisons between car dealers. You can drive wherever you want, whenever you want.
The same is done in the data center, you buy servers, storage and network gear, build a data center floor to hold it all, and hire server, storage and network administrators to manage it.
Infrastructure as a Service (IaaS)
You rent a car from a local Car Rental Agency. You still need a drivers license and carry liability insurance, but often you can get the insurance for the days or weeks that you are renting the car. You have limited choices of make, model and color. You don't need thousands of dollars, just enough to cover the daily or weekly rate. The rental process can be done in minutes.
IaaS providers have their own data centers, so you don't need your own. They can rent you floorspace and equipment on a monthly basis. Your server, storage and network administrators manage these remotely. Your OS choices are limited to the types of hardware available, typically x86 servers, SAN and NAS storage.
Platform as a Service (PaaS)
You take a taxi. Since you are not driving, you do not need a drivers license nor need liability insurance. The vehicle is typically a yellow four-door sedan. You don't need thousands of dollars, just enough to cover the ride, often metered by the distance traveled. Getting a taxi takes minutes, just a matter of calling the cab company, or hailing one streetside. Depending on the cab company, you can tell the taxi driver where to go, how to get there, and that you are in a hurry.
PaaS providers have data centers with servers, storage and networking gear. Your options are often Linux or Windows with some middleware web serving and database already running. You may still need some of your own server, storage and network admins to manage things remotely. Usage is metered, you pay for bandwidth, CPU and storage used. Typical rates for Cloud Storage, for example, is 25 cents per GB per month.
Software as a Service (SaaS)
You take public transportation, like the subway. You are not driving, so no need for license or insurance. The vehicle holds hundreds of passengers, and you have no options on the make, model or color. You only need enough to cover the cost of the ticket, which is often based on the distance traveled. You have to get to the subway station nearest you, and it takes you to the subway station nearest your eventual destination, so other forms of transportation may be required if this does not completely meet your requirements.
SaaS providers offer you the application already running in their data center on their servers. You are charged per employee per month that uses this application. You won't need server, storage or network administrators, but you might need your own software developers to customize the application, or compensate for its lack of functionality with surrounding applications if it does not exactly meet your needs. Google Gmail and IBM LotusLive are two examples of this.
Virtualization for Availability and Business Continuity
No surprise here, virtualization has proven quite useful to improve both high availability and continuous operations within the data center, as well as multiple site configurations for disaster recovery and business continuity. P-to-V is used to refer to the concept of running applications on physical servers at the primary location, but have these as virtual servers under VMware or Hyper-V at the disaster site secondary location to minimize the cost of standby equipment.
Reshaping the Data Center
Data Center facilities design is going modular, with design for server/storage/network "pod" and contained "power zones".
IT for Green
This is not making the IT department itself more environment-friendly, but using IT to make the entire company more environment-friendly, including using sensors to monitor input and output, reduce carbon footprint and monitor energy consumption per employee.
Virtual Desktop Infrastructure (VDI) is changing the way employees use IT services. Rather than having to maintain a full OS and application stack on each employees PC, using VDI and browser-based applications can help centralize and take back control, minimizing help desk costs.
Business Intelligence and Operational Analytics is taking off. In the past, decision support systems were limited to just the highest levels of executives and analysts that work for them, but now the technology is reaching a broader portion of the company, allowing knowledge workers to have more information to make better business decisions. We have seen this transition from employees working off fixed rules of thumb that apply to all situations, to decisions supported by market data, to now a more predictive analysis.
FLASH memory (Solid State Drives, SSD)
Solid State Drives and advances in memory will impact the storage world in the data center, much as it has in consumer electronics.
Reshaping the Server
This last prediction seemed far-fetched. The analyst felt that we will begin to see server components to be separated between CPU, memory and I/O support, so that you can seemlessly add or remote each from running servers. Some of this has happened with blade servers, with some components shraed by multiple servers that are hot-swappable.
Certainly, an interesting list of technologies to watch.
Continuing my coverage of the Data Center Conference 2009, held Dec 1-4 in Las Vegas, the title of this session refers to the mess of "management standards" for Cloud Computing.
The analyst quickly reviewed the concepts of IaaS (Amazon EC2, for example), PaaS (Microsoft Azure, for example), and SaaS (IBM LotusLive, for example). The problem is that each provider has developed their own set of APIs.
(One exception was [Eucalyptus], which adopts the Amazon EC2, S3 and EBS style of interfaces. Eucalyptus is an open-source infrastrcture that stands for "Elastic Utility Computing Architecture Linking Your Programs To Useful Systems". You can build your own private cloud using the new Cloud APIs included Ubuntu Linux 9.10 Karmic Koala termed Ubuntu Enterprise Cloud (UEC). See these instructions in InformationWeek article [Roll Your Own Ubuntu Private Cloud].)
The analyst went into specific Virtual Infrastructure (VI) and public cloud providers.
Private Clouds can be managed by VMware tools. For remote management of public IaaS clouds, there is [vCloud Express], and for SaaS, a new service called [VMware Go].
Citrix is the Open Service Champion. For private clouds based on Xen Server, they have launched the [Xen Cloud Project] to help manage. For public clouds, they have [Citrix Cloud Center, C3], including an Amazon-based "Citrix C3 Labs" for developing and testing applications. For SaaS, they have [GoToMyPC and [GoToAssist].
Amazon offers a set of Cloud computing capabilities called Amazon Web Services [AWS]. For virtual private clouds, use the AWS Management Console. For IaaS (Amazon EC2), use [CloudWatch] which includes Elastic Load Balancing.
If you prefer a common management system independent of cloud provider, or perhaps across multiple cloud providers, you may want to consider one of the "Big 4" instead. These are the top four system management software vendors: IBM, HP, BMC Software, and Computer Associates (CA).
A survey of the audience found the number one challenge was "integration". How to integrate new cloud services into an existing traditional data center. Who will give you confidence to deliver not tools for remote management of external cloud services? Survey shows:
28 percent: VI Providers (VMware, Citrix, Microsoft)
19 percent: Big 4 System Management software vendors (IBM, HP, BMC, CA)
13 percent: Public cloud providers (Amazon, Google)
40 percent: Other/Don't Know
For internal private on-promise Clouds, the results were different:
40 percent: VI Providers (VMware, Citrix, Microsoft)
21 percent: Big 4 System Management software vendors (IBM, HP, BMC, CA)
13 percent: Emerging players (Eucalyptus)
26 percent: Other/Don't Know
Some final thoughts offered by the analyst. First, nearly a third of all IT vendors disappear after two years, and the cloud will probably have similar, if not worse, track record. Traditional server, storage and network administrators should not consider Cloud technologies as a death knell for in-house on-premises IT. Companies should probably explore a mix of private and public cloud options.
Continuing my coverage of the 30th annual [Data Center Conference]. here is a recap of Wednesday morning sessions.
A Data Center Perspective on MegaVendors
The morning started with a keynote session. The analyst felt that the eight most strategic or disruptive companies in the past few decades were: IBM, HP, Cisco, SAP, Oracle, Apple and Google. Of these, he focused on the first three, which he termed the "Megavendors", presented in alphabetical order.
Cisco enjoys high-margins and a loyal customer base with Ethernet switch gear. Their new strategy to sell UP and ACROSS the stack moves them into lower-margin business like servers. Their strong agenda with NetApp is not in sync with their partnership with EMC. They recently had senior management turn-over.
HP enjoys a large customer base and is recognized for good design and manufacturing capabilities. Their challenges are mostly organizational, distracted by changes at the top and an untested and ever-changing vision, shifting gears and messages too often. Concerns over the Itanium have not helped them lately.
IBM defies simple description. One can easily recognize Cisco as an "Ethernet Switch" company, HP as a "Printer Company", Oracle as a "Database Company', but you can't say that IBM is an "XYZ" company, as it has re-invented itself successfully over its past 100 years, with a strong focus on client relationships. IBM enjoys high margins, sustainable cost structure, huge resources, a proficient sales team, and is recognized for its innovation with a strong IBM Research division. Their "Smarter Planet" vision has been effective in supporting their individual brands and unlock new opportuties. IBM's focus on growth markets takes advantage of their global reach.
His final advice was to look for "good enough" solutions that are "built for change" rather than "built to last".
Chris works in the Data Center Management and Optimization Services team. IBM owns and/or manages over 425 data centers, representing over 8 million square feet of floorspace. This includes managing 13 million desktops, and 325,000 x86 and UNIX server images, and 1,235 mainframes. IBM is able to pool resources and segment the complexity for flexible resource balancing.
Chris gave an example of a company that selected a Cloud Compute service provided on the East coast a Cloud Storage provider on the West coast, both for offering low rates, but was disappointed in the latency between the two.
Chris asked "How did 5 percent utilization on x86 servers ever become acceptable?" When IBM is brought in to manage a data center, it takes a "No Server Left Behind" approach to reduce risk and allow for a strong focus on end-user transition. Each server is evaluated for its current utilization:
Amazingly, many servers are unused. These are recycled properly.
1 to 19 percent
Workload is virtualized and moved to a new server.
20 to 39 percent
Use IBM's Active Energy Manager to monitor the server.
40 to 59 percent
Add more VMs to this virtualized server.
over 60 percent
Manage the workload balance on this server.
This approach allows IBM to achieve a 60 to 70 percent utilization average on x86 machines, with an ROI payback period of 6 to 18 months, and 2x-3x increase of servers-managed-per-FTE.
Storage is classified using Information Lifecycle Management (ILM) best practices, using automation with pre-defined data placement and movement policies. This allows only 5 percent of data to be on Tier-1, 15 percent on Tier-2, 15 percent on Tier-3, and 65 percent on Tier-4 storage.
Chris recommends adopting IT Service Management, and to shift away from one-off builds, stand-alone apps, and siloed cost management structures, and over to standardization and shared resources.
You may have heard of "Follow-the-sun" but have you heard of "Follow-the-moon"? Global companies often establish "follow-the-sun" for customer service, re-directing phone calls to be handled by people in countries during their respective daytime hours. In the same manner, server and storage virtualization allows workloads to be moved to data centers during night-time hours, following the moon, to take advantage of "free cooling" using outside air instead of computer room air conditioning (CRAC).
Since 2007, IBM has been able to double computer processing capability without increasing energy consumption or carbon gas emissions.
It's Wednesday, Day 3, and I can tell already that the attendees are suffering from "information overload'.
Earlier this year, I wrote a Web article titled [Data Footprint Reduction] which covered data deduplication and compression, and was asked to present this at IBM Edge. I have expanded it to include:
Space-Efficient Point-in-Time copies
After I presented the basic concepts, Sanjay Bhikot, a Unix and Storage admin at RICOH, presented his real-world experiences with data deduplication using the IBM ProtecTIER and real-time compression Beta experience using the SAN Volume Controller (SVC).
IBM Active Cloud Engine Implementation on IBM SONAS 1.3 and IBM Storwize V7000 Unified
John Sing (IBM) presented the latest enhancements in the v1.3.2 release of SONAS and Storwize V7000 Unified.
Introducing VMware vSphere Storage Features
Fellow blogger Stephen Foskett presented this session on VMware's storage features. This included VMware APIs for Array Integration (VAAI), VMware Array Storage Awareness (VASA), vCenter plug-ins, and a new concept he called "vVol" which de-multiplexes the "I/O Blender" that server hypervisors do by tagging individual requests to individual OS guests to provide added benefit. IBM is a leading reseller of VMware, so it makes sense that most of our storage meets all of Steve's requirements for recommendation.
IBM's Storage Strategy in the Smarter Computing Era
Last year, I presented this on the fourth day of the conference, and feedback we received from attendees was that this should have been presented sooner in the week, as it provides great context for the more detailed product presentations.
To address this concern, the IBM executives presented IBM strategy on Monday's keynote session, but allowed me to present this on Wednesday for several reasons:
You may have missed the keynote session. For example, you may not have arrived in time to hear the executives speak due to weather or mechanical problems causing travel delays.
You may have attended the keynote session, but want to hear it again. Maybe you were a bit hung-over, or just may have been overwhelmed with the size and scope of this event. I have read for strategic topics, audiences may have to hear the message five to seven times before they truly appreciate and understand it.
You may want to ask questions, and explore the implications in more detail. While keynote sessions can reach a broader audience, the communication is very much uni-directional. With break-out sessions with a few hundred people, the venue is more intimate and can afford opportunties for information exchange.
The title of this session rolls off the tongue nicely, much like "James and the Giant Peach", "Harold and the Purple Crayon", or "Charlie and the Chocolate Factory".
When people say they are interested in "Cloud Storage", what exactly do they mean. After discussions with hundreds of clients, IBM has worked out a "taxonomy" that identifies four distinct types of storage:
In this session, I presented how IBM SONAS addresses all four of these categories, as well as other IBM storage products that can address specific categories in the taxonomy.
In the evening, the attendees at IBM Edge joined the attendees from Innovate2012 (focused on IBM Rational products) at SeaWorld, with BBQ dinner, rides, Shamu the whale show, and a concert featuring Foreigner!