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:
- Scope Creep
- Political Sabotage
- Human Resources (HR) issues
- Communications failure
- 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!
technorati tags: IBM, Data center consolidation, ITSM, Yammer, Cloud Computing, Mobile, VMware, Linux KVM, RHEV, Hyper-V, ITIL, CMMI, DevOps, Cloud storage
Continuing my coverage of the 30th annual [Data Center Conference]. here is a recap of Wednesday breakout sessions.
- Private Cloud Computing at Bank of America – One Year Later
Prentice Dees, Senior VP for Systems Automation Engineering at Bank of America, did the happy dance celebrating their success implementing a private cloud. Bank of America merged with Merrill Lynch, has 29 million users residing in over 100 countries, and 5900 retail offices in 40 countries. They manage $1 billion US dollars in deposits, and $2.2 trillion in assets.
Rather than IaaS or PaaS, his team focused on Application-as-a-Service (AaaS). Their goal is to transform and move IT out of the way of the business. In his view, if a human has to touch a keyboard, then his team has failed.
He divides the work up into three layers:
- Bones: These are the physical components, such as servers, storage, switches that provide capacity and interconnect.
- Muscle: This is the translation layer, providing actions and reporting.
- Brains: This is the layer for intelligent automation
Provisioning new servers with storage involves three sets of steps. The first set of steps involves requesting approval. The second set of steps deploys the server. The third involves installing the application, loading the data and using it until End-of-Life. The second set of steps took 14 to 60 days before, and has been automated down to one to three hours.
The results is that he has improved server utilization 10x, and storage is over-provisioned 4x, and are now hosting over 11,000 server images, saving $20 million US dollars. Not only is this lower cost per application deployed, but the process allows for lower-skilled personnel. He has over 500TB of virtual storage deployed, using thin provisioning, with only 128TB of physical disk. But they have only scratched the surface. Only 15 to 20 percent are virtualized in this manner, and they want to get to 80 percent within the next three years.
What makes an application not "Cloud-ready"? Prentice is a big fan of Linux and Open Source solutions. Some applications consume the entire server. In other cases, code changes are required. If possible, try to split up large applications into smaller Cloud-ready chunks?
How many people on his team? There are currently 16 to 20 people on the team, but at its peak there were 30 people.
Rather than wasting time on capacity planning, his team focuses on a cost recovery model instead. Seed capital in combination with rock-solid recovery is the way to go. "All models are wrong," the saying goes, "but some are useful!"
A nice side benefit to this new approach is maintenance is greatly improved. Rather than rushing to fix problems, you roll the application over to another host machine, and then take your time fixing the failed hardware.
How does the team deal with requests for dedicated resources? Give them the keys to their own miniature private cloud. Let them provision from their dedicated resources using the same methods you use to provision everyone else. This allows them to get comfortable with the process, and eventually join the rest of the shared pool. Analytics can be used to find "rogue VMs" that don't play well with others.
Their automation is a mix of commercial and open source software, with home-grown scripts. They have one "Orchestration Management Data Base" (OMDB) to manage multiple disparate Configuration Management Data bases (CMDBs). The chargeback is not quite per individual pay-per-use, but more at the departmental level.
- 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.
technorati tags: IBM, BofA, Prentice+Dees, AaaS, Linux, Open Source, OMDB, CMDB, Aging data, Archive, Retention, , InfoSphere, Optim, LotusLive, University Minnesota, , 10GbE, SR-IOV, GPFS, private cloud
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".
- Cloud Computing – What's Real vs. Virtual
Chris Molloy, IBM Distinguished Engineer and fellow published author, presented this session on Cloud Computing. His book [IT Virtualization Best Practices: A Lean, Green Virtualized Data Center Approach] is available on Amazon.
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:
|0 percent||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'.
technorati tags: IBM, HP, Cisco, Megavendors, Oracle, SAP, Apple, Google, Chris+Molloy, Cloud Computing, x86, virtualization, IT Service Management, Follow-the-sun, Follow-the-moon, CRAC, Free Cooling
Continuing my coverage of the 30th annual [Data Center Conference]. we had a Solution Showcase booth open Monday, Tuesday and part of Wednesday.
Here is the IBM System z114 mainframe with David Ayd in his white lab coat.
Dana Grove in the white lab coat shows off the "IBM Watson" simulator to Steve Sams.
Here is a side view, to see how thin the "IBM watson" simulator is.
Across the aisle was the ever-popular IBM Portable Modular Data Center (PMDC)
We were conveniently positioned between the wine and dessert areas. The Solution Showcase is a great opportunity to catch up with the latest technologies and vendors.
technorati tags: IBM, z114, mainframe, David Ayd, Dana Grove, Steve Sams, PMDC
Continuing my coverage of the 30th annual [Data Center Conference]. Here is a recap of more of the Tuesday afternoon sessions:
- IBM CIOs and Storage
Barry Becker, IBM Manager of Global Strategic Outsourcing Enablement for Data Center Services, presented this session on Storage Infrastructure Optimization (SIO).
A bit of context might help. I started my career in DFHSM which moved data from disk to tape to reduce storage costs. Over the years, I wouuld visit clients, analyze their disk and tape environment, and provide a set of recommendations on how to run their operations better. In 2004, this was formalized into week-long "Information Lifecycle Management (ILM) Assessments", and I spent 18 months in the field training a group of folks on how to perform them. The IBM Global Technology Services team have taken a cross-brand approach, expanding this ILM approach to include evaluations of the application workloads and data types. These SIO studies take 3-4 weeks to complete.
Over the next decade, there will only be 50 percent more IT professionals than we have today, so new approaches will be needed for governance and automation to deal with the explosive growth of information.
SIO deals with both the demand and supply of data growth in five specific areas:
- Data reclamation, rationalization and planning
- Virtualization and tiering
- Backup, business continuity and disaster recovery
- Storage process and governance
- Archive, Retention and Compliance
The process involves gathering data and interview business, financial and technical stakeholders like storage administrators and application owners. The interviews take less than one hour per person.
Over the past two years, the SIO team has uncovered disturbing trends. A big part of the problem is that 70 percent of data stored on disk has not been accessed in the past 90 days, and is unlikely to be accessed at all in the near future, so would probably be better to store on lower cost storage tiers.
Storage Resource Management (SRM) is also a mess, with over 85 percent of clients having serious reporting issues. Even rudimentary "Showback" systems to report back what every individual, group or department were using resulted in significant improvement.
Archive is not universally implemented mostly because retention requirements are often misunderstood. Barry attributed this to lack of collaboration between storage IT personnel, compliance officers, and application owners. A "service catalog" that identifies specific storage and data types can help address many of these concerns.
The results were impressive. Clients that follow SIO recommendations save on average 20 to 25 percent after one year, and 50 percent after three to five years. Implementing storage virtualization averaged 22 percent lower CAPEX costs. Those that implemented a "service catalog" saved on average $1.9 million US dollars. Internally, IBM's own operations have saved $13 million dollars implementing these recommendations over the past three years.
- Reshaping Storage for Virtualization and Big Data
The two analysts presenting this topic acknowledged there is no downturn on the demand for storage. To address this, they recommend companies identify storage inefficiencies, develop better forecasting methodologies, implement ILM, and follow vendor management best practices during acquisition and outsourcing.
To deal with new challenges like virtualization and Big Data, companies must decide to keep, replace or supplement their SRM tools, and build a scalable infrastructure.
One suggestion to get upper management to accept new technologies like data deduplication, thin provisioning, and compression is to refer to them as "Green" technologies, as they help reduce energy costs as well. Thin provisioning can help drive up storage utilization to rates as high as you dare, typically 60 to 70 percent is what most people are comfortable with.
A poll of the audience found that top three initiatives for 2012 are to implement data deduplication, 10Gb Ethernet, and Solid-State drives (SSD).
The analysts explained that there are two different types of cloud storage. The first kind is storage "for" the cloud, used for cloud compute instances (aka Virtual Machines), such as Amazon EBS for EC2. The second kind is storage "as" the cloud, storage as a data service, such as Amazon S3, Azure Blob and AT&T Synaptic.
The analysts feel that cloud storage deployments will be mostly private clouds, bursting as needed to public cloud storage. This creates the need for a concept called "Cloud Storage Gateways" that manage this hybrid of some local storage and some remote storage. IBM's SONAS Active Cloud Engine provides long-distance caching in this manner. Other smaller startups include cTera, Nasuni, Panzura, Riverbed, StorSimple, and TwinStrata.
A variation of this are "storage gateways" for backup and archive providers as a staging area for data to be subsequently sent on to the remote location.
New projects like virtualization, Cloud computing and Big Data are giving companies a new opportunity to re-evaluate their strategies for storage, process and governance.
technorati tags: IBM, SIO, SRM, deduplication, 10GbE, SSD, Amazon, EBS, EC2, Azure, SONAS, Active Cloud Engine, Cloud Computing, virtualization, Big Data