Continuing my coverage of the [IBM Storage Innovation Executive Summit], this is my second in a series of blog posts on this event.
- Optimizing Storage Infrastructure for Growth and Innovation
This session started off with my former boss, Brian Truskowski, IBM General Manager of System Storage and Networking.
We've come a long way in storage. In 1973, the "Winchester Drive" was named after the famous Winchester 3030 rifle. The disk drive was planning to have two 30MB platters, hence the name. When it finally launched, it would have two 35MB platters, for a total raw capacity of 70MB.
Today, IBM announced the verison 6.2 of SAN Volume Controller with support for 10GbE iSCSI. Since 2003, IBM has sold over 30,000 SAN Volume Controllers. An SVC cluster can now manage up to 32PB of disk storage.
IBM also announced new 4TB tape drive (TS1140), LTFS Library Edition, the TS3500 Library Connector, improved TS7600 and TS7700 virtual tape libraries, enhanced Information Archive for email, files and eDiscovery, new Storwize V7000 hardware, new Storwize Rapid Application bundles, new firmware for SONAS and DS8000 disk systems, and Real-Time Compression support for EMC disk systems. I plan to cover each of these in follow-on posts, but if you can't wait, here are [links to all the announcements].
- Customer Testimonial - CenterPoint Energy
"CenterPoint is transforming its business from being an energy distribution company that uses technology, to a technology company that distributes energy."
-- Dr. Steve Pratt, CTO of CenterPoint Energy
The next speaker was Dr. Steve Pratt is CTO of [CenterPoint Energy]. CenterPoint is 110 years old (older than IBM!) energy company that is involved in electricity, gasoline distribution, and natural gas pipeline. CenterPoint serves Houston, Texas (the fourth largest city in the USA) and surrounding area.
CenterPoint are transforming to a Smart Grid involving smart meters, and this requires the best IT infrastructure you can buy, including IBM DS8000, XIV and SAN Volume Controller disk systems, IBM Smart Analytics System, Stream Analytics, IBM Virtual Tape Library, IBM Tivoli Storage Manager, and IBM Tivoli Storage Productivity Center.
Dr. Pratt has seen the transition of information over the years:
- Data Structure, deciding how to code data to record it in a structured manner
- Information Reporting, reporting to upper management what happened
- Intelligence Aggregation, finding patterns and insight from the data
- Predictive Analytics, monitoring real-time data to take pro-active steps
- Autonomics, where automation and predictive analysis allows the system to manage itself
What does the transition to a Smart Grid mean for their storage environment? They will go from 80,000 meter reads, to 230,400,000 reads per day. Ingestion of this will go from MB/day to GB/sec. Reporting will transition to real-time analytics.
Dr. Pratt prefers to avoid trade-offs. Don't lose something to get something else. He also feels that language of the IT department can help. For example, he uses "Factor" like 25x rather than percent reduction (96 percent reduced). He feels this communicates the actual results more effectively.
Today's smarter consumers are driving the need for smarter technologies. Individual consumers and small businesses can make use of intelligent meters to help reduce their energy costs. Everything from smart cars to smart grids will need real-time analytics to deal with the millions of events that occur every day.
- IBM's Data Protection and Retention Story
Brian Truskowski came back to provide the latest IBM messaging for Data Protection and Retention (DP&R). The key themes were:
- Stop storing so much
- Store more with what's on the floor
- Move data to the right place
IBM announced today that the IBM Real-Time Compression Appliances now support EMC gear, such as EMC Celerra. While some of the EMC equipment have built-in compression features, these often come at a cost of performance degradation. Instead, the IBM Real-Time compression can offer improved performance as well as 3x to 5x reduction in storage capacity.
OVer 70 percent of data on disk has not be accessed in the last 90 days. IBM Easy Tier on the DS8700 and DS8800 now support FC-to-SATA automated tiering.
IBM is projecting that backup and archive storage will grow at over 50 percent per year. To help address this, IBM is launching a new "Storage Infrastructure Optimization" assessment. All attendees at today's summit are eligible for a free assessment.
Analytics are increasing the value of information, and making it more accessible to the average knowledge worker. The cost of losing data, as well as the effort spent searching for information, has skyrocketed. Users have grown to expect 100 percent uptime availability.
An analysis of IT environments found that only 55 percent was spent on revenue-producing workloads. The remaining 45 percent was spent on Data Protection and Retenion. That means that for every IT dollar spent on projects to generate revenue, you are spending another 90 cents to protect it. Imagine spending 90 percent of your house payments for homeowners' insurance, or 90 percent of your car's purchase price for car insurance.
IBM has organized its solutions into three categories:
- Hyper-Efficient Backup and Recovery
- Continuous Data Availability
- Smart Archiving
What would it mean to your business if you could shift some of the money spent on DP&R over to revenue-producing projects instead? That was the teaser question posed at the end of these morning sessions for us to discuss during lunch.
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
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