And don't forget to listen to the 'open mic' conversation about Storage Hypervisors with IBM's Ron Riffe, the author of this blog series, and ESG analyst, Mark Peters:
IBM Systems Storage Software Blog
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This is part 2 of a 3 part post on how somebody responsible for a private storage environment could save their company a pile of money by implementing cloud storage techniques. Part I introduced the concept of a storage hypervisor as a first step in transitioning traditional IT into a private cloud storage environment. In this 2nd post, I’m going to explain some of the key storage cloud management controls that can be used to drive down cost.
Storage services are standardized. When it comes to shopping, I avoid (at almost all costs) actually going to the store. You can keep all the time and frustration of traffic, fighting for a parking place, wondering aimlessly through aisles of choices, and standing in checkout lines. I’ll take the simplicity and speed of a good online catalog any day.
The idea of shopping from a catalog isn’t new and the cost efficiency it offers to the supplier isn’t new either. Public storage cloud service providers seized on the catalog idea quickly as both a means of providing a clear description of available services to their clients, and of controlling costs. Here’s the idea… I can go to a public cloud storage provider like Amazon S3, Nirvanix, Google Storage for Developers, or any of a host of other providers, give them my credit card, and get some storage capacity. Now, the “kind” of storage capacity I get depends on the service level I choose from their catalog. These folks each offer a small few different service level options. Amazon S3, for example, offers Standard Storage or Reduced Redundancy Storage (can you guess which one costs less?).
Most of today’s private IT environments represent the complete other end of the pendulum swing – total customization. Every application owner, every business unit, every department wants to have complete flexibility to customize their storage services in any way they want. This expectation is one of the reasons so many private IT environments have such a heavy mix of tier-1 storage. Since there is no structure around the kind of requests that are coming in, the only way to be prepared is to have a disk array that could service anything that shows up. Not very efficient… There has to be a middle ground.
Now, for each catalog entry, there are a variety of service levels that can be defined that cover things like capacity efficiency, I/O performance, data access resilience, and disaster protection. By this point you’re probably rolling your eyes because you know your application owners… and they’re going to want every byte of their data to have the highest available service in each of these areas (and you wonder why you have so much tier-1 storage). A little bit further into this post we’re going to talk about the wonder of usage-based chargeback, but we’re getting ahead of ourselves. For now, let’s assume you’re having a coherent conversation with your application owners and are able to define realistic needs for your database data. Maybe something like this…
From there, you’re back to the wizard. Actually defining the attributes of the catalog entry is a little mundane (lot’s of propeller head knobs and dials to turn), but once you’re done – you’re done! – and life get’s really efficient. So, let’s get the mundane stuff out of the way. First are the capacity efficiency and I/O performance attributes (be sure and notice that for “Database” we are telling the catalog we want virtual volumes – from a storage hypervisor. There will be a test in a paragraph or so :-)
Then the data access resilience attributes.
And finally the disaster protection attributes.
I told you it was a little mundane. But now come the exciting results that really drive cost out of the environment and save a huge amount of administrative time.
First is capital expense. You’re running mostly tier-1 disk arrays today. You have just finished defining the fifteen-ish catalog entries your company is going to use. Some, like “Database”, call for storage services that are often associated with tier-1 disk arrays. Most others don’t. With a little intelligent forecasting, you should be able to determine exactly how much tier-1 storage capability you really need, and how much lower-tier storage you can start using We’ve seen clients shift their mix from 70% tier-1 to 70% lower-tier storage (pretty significant capital expense shift). And if the thought of moving all that existing data from tier-1 to a lower tier makes you shudder, refer back to Part I of this post and look again at the data mobility provided by a good storage hypervisor (Test: did you notice that for “Database” we told the catalog we wanted virtual volumes – from a storage hypervisor…).
The second big savings is in operational expense (keep reading).
Here comes the request from an application owner for 500GB of new “Database” capacity (one of the options available in the storage service catalog) to be attached to some server. After appropriate approvals, the administrator can simply enter the three important pieces of information (type of storage = “Database”, quantity = 500GB, name of the system authorized to access the storage) and click the “Go” button (in TPC SE it’s actually a “Run now” button) to automatically provision and attach the storage. No more complicated checklists or time consuming manual procedures.
Storage is paid per use. It’s the little appreciated – but incredibly powerful tool in the quest to drive cost out of the environment. When end users are aware of the impact of their consumption and service level choices, they tend to make more efficient choices. Conversely (we all know what happens here), when there’s no correlation between service level choices and end user visibility to cost… well… you have a lot of tier-1 storage on the floor.
A chargeback tool like IBM Tivoli Usage and Accounting Manager (TUAM) completes the story we have been building…
Stay tuned for Part III of this post where I’ll explore some technical thoughts you’ll want to consider when picking a storage hypervisor.
The conversation is building! Earlier this week, fellow IBM blogger Tony Pearson joined the conversation with a perspective on Storage Hypervisor integration with VMware. And IBM blogger Rich Vining added a perspective on VMware Data Protection with a Storage Hypervisor. To cap it off, we just completed our first live group chat with over 30 IT managers, industry analysts, independent bloggers, and IBM storage experts.
Join the conversation! The virtual dialogue on this topic will continue in another live group chat on September 30, 2011 from 12 noon to 1pm Eastern Time.