You can almost hear the tom-toms thumping as IBM picks up the beat for flash storage and its FlashSystem, and for good reason. Almost everything companies want to do these days requires fast, efficient storage. Everything waits for data—applications, servers, algorithms, virtually any IT resource. And fast data, of course, depends on the responsiveness of the storage. Flash’s time has arrived.
To get the responsiveness they need companies previously loaded up with conventional DASD, spinning disks that top out at 15K RPM or cheaper DASD at 5400 RPM. To coax sufficient IO/second (IOPS) they ganged together massive amounts of DASD just to get more parallel spindles to compensate for the low IOPS. Sure the disks were cheap but still the cost per IOPS was sky high, especially considering all the overhead and inefficiency they had to absorb.
But in this era of big data analytics, where an organization’s very competitiveness depends on absorbing massive amounts of data fast that old approach doesn’t work anymore. You can’t aggregate enough spindles to handle the huge amounts of machine-generated or sensor or meter data, not to mention data created by millions, possible even billions, of people on Facebook or Twitter and everywhere else to keep up with the data flow. You can’t possibly come up with meaningful results fast enough to be effective. Opportunities will fly past you.
Furthermore, traditional high performance storage comes at a high price, not just in the acquisition cost of large volumes of spinning disk but also in the inefficiency of its deployment. Sure, the cost per gigabyte may be low but aggregating spindles by the ton while not even utilizing the resulting large chunks of unused capacity will quickly offset any gains from a low cost per gigabyte. In short, traditional storage, especially high performance storage, imposes economic limits on the usefulness and scalability of many analytics environments.
Since data access depends on the response of storage, flash has emerged as the way to achieve high IOPS at a low cost, and with the cost of flash storage dropping steadily it will only become a better deal doing forward. Expect to hear a lot about IBM FlashSystem storage at Edge 2014. As IBM points out, it can eliminate wait times and accelerate critical applications for faster decision making, which translates into faster time to results.
Specifically, IBM reports its FlashSystem delivers:
- 45x performance improvement with 10x more durability
- 115x better energy efficiency with 315x superior density
- 19x more efficient $/IOPS.
Here’s how: both the initial acquisition costs and the ongoing operational costs, such as staffing and environmental costs of FlashSystem storage, according to IBM, can be lower than both performance-optimized hard drive storage solutions and emerging hybrid- or all-flash solutions. In short, IBM FlashSystem delivers the three key attributes data analytics workloads require: compelling data economics, enterprise resiliency, and easy infrastructure integration along with high performance.
As proof, IBM cites a German transport services company that deployed FlashSystem storage to support a critical SAP e- business analytics infrastructure and realized a 50% TCO reduction versus competing solutions.
On top of that, IBM reports FlashSystem storage unlocks additional value from many analytics environments by both turbo-charging response times with its use of MicroLatency technology, effectively multiplying the amount of data that can be analyzed. MicroLatency enables a streamlined high performance data path to accelerate critical applications. The resulting faster response times can yield more business agility and quicker time to value from analytics.
In fact, recent IBM research has found that IBM InfoSphere Identity Insight entity analytics processes can be accelerated by over 6x using FlashSystem storage instead of traditional disk. More data analyzed at once means more potential value streams.
Data has long been considered a valuable asset. For some data has become the most important commodity of all. The infrastructure supporting the analytics environment that converts data as a commodity into valuable business insights must be designed for maximum resiliency. FlashSystem brings a set of data protection features that can help enhance reliability, availability and serviceability while minimizing the impact of failures and down-time due to maintenance. In short it protects what for many is the organization’s data, its most valuable asset.
DancingDinosaur is looking forward to attending Edge 2014 sessions that will drill down into the specifics of how IBM FlashSystem storage works under the cover. It is being held May 19-23 in Las Vegas, at the Venetian. Register now and get a discount. And as much as DancingDinosaur is eager to delve into the details of FlashSystem storage the Sheryl Crow concert is very appealing too. When not in sessions or at the concert look for DancingDinosaur in the bloggers lounge. Please join me.
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Tags: 15k RPM hard disk, 5400 RPM disk, analytics, Big Data, DASD, durability, flash storage, IBM, IBM FlashSystem, Input/Output per second, IOPs, machine-generated data, meter data, MicroLatency, scalability, sensor data, storage, storage density, TCO, turbo-charging