[Apologies to all who have just read this post with a sense of deja-vue. I saw a typo, corrected it and then republished the blog, and it reset the publication date. This post was originally published several months ago.]
Having been away from the Linux scene for a while, I recently took a look at a newer version of Linux, SUSE Enterprise Linux Version 11.3, which is representative of the latest feature sets from the Linux 3.0 et seq kernel available to the entre Linux community, including SUSE, Red Hat, Canonical and others. It is apparent, both from the details on SUSE 11.3 and from perusing the documentation on other distribution providers, that Linux has continued to mature nicely as both a foundation for large scale-out clouds as well as a strong contender for the kind of enterprise workloads that previously were only comfortable on either RISC/UNIX systems or large Microsoft Server systems. In effect, Linux has continued its maturation to the point where its feature set and scalability begin to look like a top-tier UNIX from only a couple of years ago.
Among the enterprise technology that caught my eye:
Scalability – The Linux kernel now scales to 4096 x86 CPUs and up to 16 TB of memory, well into high-end UNIX server territory, and will support the largest x86 servers currently shipping.
I/O – The Linux kernel now includes btrfs (a geeky contraction of “Better File System), an open source file system that promises much of the scalability and feature set of Oracle’s popular ZFS file system including checksums, CoW, snapshotting, advanced logical volume management including thin provisioning and others. The latest releases also include advanced features like geoclustering and remote data replication to support advanced HA topologies.
I'm at IDF, a major geekfest for the people interested in the guts of today’s computing infrastructure, and will be immersing myself in the flow for a couple of days. Before going completely off the deep end, I wanted to call out the announcement of the new Xeon E5. While I’ve discussed it in more depth in an accompanying Quick Take just published on our main website, I wanted to add some additional comments on its implications for data center operations, particularly in the areas of capacity planning and long-term capital budgeting.
For many years, each successive iteration of Intel’s and partners’ roadmaps has been quietly delivering a major benefit that seldom gets top billing – additional capacity within the same power and physical footprint, and the resulting ability for users from small enterprises to mega-scale service providers, to defer additional data spending capital expense.
A group of us just published an analysis of VMworld (Breaking Down VMworld), and I thought I’d take this opportunity to add some additional color to the analysis. The report is an excellent synthesis of our analysis, the work of a talented team of collaborators with my two cents thrown in as well, but I wanted to emphasize a few additional impressions, primarily around storage, converged infrastructure, and the overall tone of the show.
First, storage. If they ever need a new name for the show, they might consider “StorageWorld” – it seemed to me that just about every other booth on the show floor was about storage. Cloud storage, flash storage, hybrid storage, cheap storage, smart storage, object storage … you get the picture.[i] Reading about the hyper-growth of storage and the criticality of storage management to the overall operation of a virtualized environment does not drive the concept home in quite the same way as seeing 1000s of show attendees thronging the booths of the storage vendors, large and small, for days on end. Another leading indicator, IMHO, was the “edge of the show” booths, the cheaper booths on the edge of the floor, where smaller startups congregate, which was also well populated with new and small storage vendors – there is certainly no shortage of ambition and vision in the storage technology pipeline for the next few years.
I’ve recently been thinking a lot about application-specific workloads and architectures (Optimize Scalalable Workload-Specific Infrastructure for Customer Experiences), and it got me to thinking about the extremes of the server spectrum – the very small and the very large as they apply to x86 servers. The range, and the variation in intended workloads is pretty spectacular as we diverge from the mean, which for the enterprise means a 2-socket Xeon server, usually in 1U or 2U form factors.
At the bottom, we find really tiny embedded servers, some with very non-traditional packaging. My favorite is probably the technology from Arnouse digital technology, a small boutique that produces computers primarily for military and industrial ruggedized environments.
Slightly bigger than a credit card, their BioDigital server is a rugged embedded server with up to 8 GB of RAM and 128 GB SSD and a very low power footprint. Based on an Atom-class CPU, thus is clearly not the choice for most workloads, but it is an exemplar of what happens when the workload is in a hostile environment and the computer maybe needs to be part of a man-carried or vehicle-mounted portable tactical or field system. While its creators are testing the waters for acceptance as a compute cluster with up to 4000 of them mounted in a standard rack, it’s likely that these will remain a niche product for applications requiring the intersection of small size, extreme ruggedness and complete x86 compatibility, which includes a wide range of applications from military to portable desktop modules.
Companies understand the urgency of ramping up their business technology (BT) capabilities to help the business innovate and grow. Increasingly, they realize that they cannot do this alone and firms will require partners that can help deliver agile services that bring fast and predictable outcomes to the business. For instance, Bharat Light and Power (BLP), one of the largest clean energy generation companies in India, signed in late 2013, a 10-year engagement with IBM to build a new business capability that aims at nothing short of transforming the utility sector in India. In a few words (more details are available in this report), BLP and IBM are creating an open energy service platform that will help BLP understand how to optimize the utilization of its wind turbines. The really interesting part for me lies in the way the company intends to leverage the information generated by this platform as the basis of its competitive advantage. The energy service platform will indeed act as an expertise repository that BLP can leverage to:
Increase the value of its own assets. As the company operates, grows, and optimizes its own asset efficiency, it learns how the climate, power grid, and wind turbines influence a vital business metric for a utility company: the plant load factor (PLF). This will allow the company to generate more revenues from its existing assets.
You’ve probably already seen the announcement of the partnership between IBM and Apple; Forrester clients can read more about it here, along with our deeper analysis.
While I can’t comment on the trends in North America and Europe, I know that there are some interesting dynamics in the enterprise mobility space in Asia Pacific at the moment. The penetration of technologies like BYOD, customer mobility, and employee-facing mobile apps has been relatively low in many Asian countries, putting the region’s companies behind their North American peers for the most part. I still speak with CIOs and marketing leaders about why they should have a mobility strategy or how they can help their employees stay productive regardless of location.
Don’t get me wrong: There are a lot of smartphones and tablets — particularly iPads — in businesses across the region. But many of these devices, especially the tablets, were personally acquired by employees — so they’re an “accessory tool,” not a core productivity tool; often, corporate tech management doesn’t support them and app-dev teams don’t develop for them.
IBM's acquisition of Cognea, a startup that creates virtual assistants of multiple personalities, further reinforces that voice is not enough for artificial intelligence. You need personality.
I for one cheer IBM's investment, because to be honest, IBM Watson's Jeopardy voice was a bit creepy. What has made Apple's Siri intriguing and personable, even if not always an effective capability, is the sultry sound of her voice and at times the hilarity of Siri's responses. However, if you were like me and changed from the female to male voice because you were curious, the personality of male Siri was disturbing (the first time I heard it I jumped). Personality is what you relate to.
The impression of intelligence is a factor of what is said and how it is delivered. Think about how accents influence our perception of people. It is why news media personalities work hard to refine and master a Mid-west accent. And, how one presents themselves in professional situations says a lot about whether you can trust their judgment. As much as I love my home town of Boston, our native accent and sometimes cold personalities have much to be desired by the rest of the country. And we have Harvard and MIT! Oh so smart maybe, but some feel we are not always easy to connect with.
Yesterday HP announced that it will be entering into a “non-equity joint venture” (think big strategic contract of some kind with a lot of details still in flight) to address the large-scale web services providers. Under the agreement, Foxcon will design and manufacture and HP will be the primary sales channel for new servers targeted at hyper scale web service providers. The new servers will be branded HP but will not be part of the current ProLiant line of enterprise servers, and HP will deliver additional services along with hardware sales.
The motivation is simple underneath all the rhetoric. HP has been hard-pressed to make decent margins selling high-volume low-cost and no-frills servers to web service providers, and has been increasingly pressured by low-cost providers. Add to that the issue of customization, which these high-volume customers can easily get from smaller and more agile Asian ODMs and you have a strategic problem. Having worked at HP for four years I can testify to the fact that HP, a company maniacal about quality but encumbered with an effective but rigid set of processes around bringing new products to market, has difficulty rapidly turning around a custom design, and has a cost structure that makes it difficult to profitably compete for deals with margins that are probably in the mid-teens.
Enter the Hon Hai Precision Industry Co, more commonly known as Foxcon. A longtime HP partner and widely acknowledged as one of the most efficient and agile manufacturing companies in the world, Foxcon brings to the table the complementary strengths to match HP – agile design, tightly integrated with its manufacturing capabilities.
On April 23, IBM rolled out the long-awaited POWER8 CPU, the successor to POWER7+, and given the extensive pre-announcement speculation, the hardware itself was no big surprise (the details are fascinating, but not suitable for this venue), offering an estimated 30 - 50% improvement in application performance over the latest POWER7+, with potential for order of magnitude improvements with selected big data and analytics workloads. While the technology is interesting, we are pretty numb to the “bigger, better, faster” messaging that inevitably accompanies new hardware announcements, and the real impact of this announcement lies in its utility for current AIX users and IBM’s increased focus on Linux and its support of the OpenPOWER initiative.
OK, so we’re numb, but it’s still interesting. POWER8 is an entirely new processor generation implemented in 22 nm CMOS (the same geometry as Intel’s high-end CPUs). The processor features up to 12 cores, each with up to 8 threads, and a focus on not only throughput but high performance per thread and per core for low-thread-count applications. Added to the mix is up to 1 TB of memory per socket, massive PCIe 3 I/O connectivity and Coherent Accelerator Processor Interface (CAPI), IBM’s technology to deliver memory-controller-based access for accelerators and flash memory in POWER systems. CAPI figures prominently in IBM’s positioning of POWER as the ultimate analytics engine, with the announcement profiling the performance of a configuration using 40 TB of CAPI-attached flash for huge in-memory analytics at a fraction of the cost of a non-CAPI configuration.[i]
A Slam-dunk for AIX users and a new play for Linux