Posts Tagged ‘scalability’

Value and Power of LinuxOne Emperor II

February 4, 2018

There is much value n the mainframe but it doesn’t become clear until you do a full TCO analysis. When you talk to an IBMer about the cost of a mainframe the conversation immediately shifts to TCO, usually in the form of how many x86 systems you would have to deploy to handle a comparable workload with similar quality of service.  The LinuxONE Emperor II, introduced in September, can beat those comparisons.

LinuxONE Emperor II

Proponents of x86 boast about the low acquisition cost of x86 systems. They are right if you are only thinking about a low initial acquisition cost. But you also have to think about the cost of software for each low-cost core you purchase, and for many enterprise workloads you will need to acquire a lot of cores. This is where costs can mount quickly.

As a result, software will likely become the highest TCO item because many software products are priced per core.  Often the amount charged for cores is determined by the server’s maximum number of physical cores, regardless of whether they actually are activated. In addition, some architectures require more cores per workload. Ouch! An inexpensive device suddenly becomes a pricy machine when all those cores are tallied and priced.

Finally, x86 to IBM Z core ratios differ per workload, but x86 almost invariably requires more cores than a z-based workload; remember, any LinuxONE is a Z System. For example, the same WebSphere workload on x86 that requires 10 – 12 cores may require only one IFL on the Z. The lesson here: whether you’re talking about system software or middleware, you have to consider the impact of software on TCO.

The Emperor II delivers stunning specs. The machine can be packed with up to 170 cores, as much as 32 TB of memory, and 160 PCIe slots. And it is flexible; use this capacity, for instance, to add more system resources—cores or memory—to service an existing Linux instance or clone more Linux instances. Think of it as scale-out capabilities on steroids, taking you far beyond what you can achieve in the x86 world and do it with just a few keystrokes. As IBM puts it, you might:

  • Dynamically add cores, memory, I/O adapters, devices, and network cards without disruption.
  • Grow horizontally by adding Linux instances or grow vertically by adding resources (memory, cores, slots) to existing Linux guests.
  • Provision for peak utilization.
  • After the peak subsides automatically return unused resources to the resource pool for reallocation to another workload.

So, what does this mean to most enterprise Linux data centers? For example, IBM often cites a large insurance firm. The insurer needed fast and flexible provisioning for its database workloads. The company’s approach directed it to deploy more x86 servers to address growth. Unfortunately, the management of software for all those cores had become time consuming and costly. The company deployed 32 x86 servers with 768 cores running 384 competitor’s database licenses.

By leveraging elastic pricing on the Emperor II, for example, it only needed one machine running 63 IFLs serving 64 competitor’s database licenses.  It estimated savings of $15.6 million over 5 years just by eliminating charges for unused cores. (Full disclosure: these figures are provided by IBM; DancingDinosaur did not interview the insurer to verify this data.) Also, note there are many variables at play here around workloads and architecture, usage patterns, labor costs, and more. As IBM warns: Your results may vary.

And then there is security. Since the Emperor II is a Z it delivers all the security of the newest z14, although in a slightly different form. Specifically, it provides:

  • Ultimate workload isolation and pervasive encryption through Secure Service Containers
  • Encryption of data at rest without application change and with better performance than x86
  • Protection of data in flight over the network with full end-to-end network security
  • Use of Protected Keys to secure data without giving up performance
  • Industry-leading secure Java performance via TLS (2-3x faster than Intel)

BTW the Emperor II also anchors IBM’s Blockchain cloud service. That calls for security to the max. In the end. the Emperor II is unlike any x86 Linux system.

  • EAL 5+ isolation, best in class crypto key protection, and Secure Service Containers
  • 640 Power cores in its I/O channels (not included in the core count)
  • Leading I/O capacity and performance in the industry
  • IBM’s shared memory vertical scale architecture with a better architecture for stateful workloads like databases and systems of record
  • Hardware designed to give good response time even with 100% utilization, which simplifies the solution and reduces the extra costs x86 users assume are necessary because they’re used to keeping a utilization safety margin.

This goes far beyond TCO.  Just remember all the things the Emperor II brings: scalability, reliability, container-based security and flexibility, and more.

…and Go Pats!

DancingDinosaur is Alan Radding, a Boston-based veteran information technology analyst, writer, and ghost-writer. Please follow DancingDinosaur on Twitter, @mainframeblog. See more of his IT writing at technologywriter.com and here.

Expect Flash to be Big at Edge 2014

March 26, 2014

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.

Follow DancingDinosaur on Twitter: @mainframeblog


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