Back during the dot.com boom years, existing telcos and dozens of new network operators, especially in western Europe and North America, laid vast amounts of fiber optic networks in anticipation of rapidly rising Internet usage and traffic. When the expected volumes of Internet usage failed to materialize, they did not turn on or “light up” most (some estimate 80% and even 90% on many routes) of this fiber network capacity. This unused capacity was called “dark fiber,” and it has only been in recent years that this dark fiber has been put to use.
I am seeing early signs of something similar in the build-out of infrastructure-as-a-service (IaaS) cloud offerings. Of course, the data centers of servers, storage devices, and networks that IaaS vendors need can scale up in a more linear fashion (add another rack of blade servers as needed to support an new client) than the all-or-nothing build-out of fiber optic networks, so the magnitude of “dark cloud” will never reach the magnitude of “dark fiber.” Nonetheless, if current trends continue and accelerate, there is a real potential for IaaS wannabes creating a glut of “dark cloud” capacity that exceeds actual demand, with resulting downward pressure on prices and shakeouts of unsuccessful IaaS providers.
Cloud computing continues to be hyped. By now, almost every ICT hardware, software, and services company has some form of cloud strategy — even if it’s just a cloud label on a traditional hosting offering — to ride this wave. This misleading vendor “cloud washing” and the complex diversity of the cloud market in general make cloud one of the most popular and yet most misunderstood topics today (for a comprehensive taxonomy of the cloud computing market, see this Forrester blog post).
Software-as-a-service (SaaS) is the largest and most strongly growing cloud computing market; its total market size in 2011 is $21.2 billion, and this will explode to $78.4 billion by the end of 2015, according to our recently published sizing of the cloud market. But SaaS consists of many different submarkets: Historically, customer relationship management (CRM), human capital management (HCM) — in the form of “lightweight” modules like talent management rather than payroll — eProcurement, and collaboration software have the highest SaaS adoption rates, but highly integrated software applications that process the most sensitive business data, such as enterprise resource planning (ERP), are the lantern-bearers of SaaS adoption today.
Do you keep every single light on in your house even though you are fast asleep in your bedroom?
Of course you don't. That would be an abject waste. Then why do most firms deploy peak capacity infrastructure resources that run around the clock even though their applications have distinct usage patterns? Sometimes the applications are sleeping (low usage). At other times, they are huffing and puffing under the stampede of glorious customers. The answer is because they have no choice. Application developers and infrastructure operations pros collaborate (call it DevOps if you want) to determine the infrastucture that will be needed to meet peak demand.
One server, two server, three server, four.
The business is happy when the web traffic pedal is to the floor.
All of us in the technology industry get caught up in the near-term fluctuations and pressures of our business. This quarter’s earnings, next quarter’s shipments, this year’s hiring plan . . . it’s easy to get swallowed up by the flood of immediate concerns. So one of the things that we work hard on at Forrester, and that our clients value in their relationships with us, is taking a few steps back and looking at the longer-term, bigger picture of the size and shape of the industry’s trajectory. It provides strategic and financial context for the short-term fluctuations and trends that buffet all of us.
I am lucky to co-lead research in Forrester's Vendor Strategy team, which is explicitly chartered to predict and quantify the new growth opportunities and disruptions facing strategists at some of our leading clients. We will put those predictions on display later this month at Forrester's IT Forum, our flagship client event. Among the sessions that Vendor Strategy analysts will be leading:
"The Software Industry in Transition": Holger Kisker will preview his latest research detailing best practices for software vendors navigating the tricky transition from traditional license to as-a-service pricing and engagement models.
"The Computing Technologies of 2016": Frank Gillett will put us in a time machine for a trip five years into the future of computing, storage, network, and component technologies that will underpin new applications, new experiences, and new computing capabilities.
Intel has been publishing research for about a decade on what they call “3D Trigate” transistors, which held out the hope for both improved performance as well as power efficiency. Today Intel revealed details of its commercialization of this research in its upcoming 22 nm process as well as demonstrating actual systems based on 22 nm CPU parts.
The new products, under the internal name of “Ivy Bridge”, are the process shrink of the recently announced Sandy Bridge architecture in the next “Tock” cycle of the famous Intel “Tick-Tock” design methodology, where the “Tick” is a new optimized architecture and the “Tock” is the shrinking of this architecture onto then next generation semiconductor process.
What makes these Trigate transistors so innovative is the fact that they change the fundamental geometry of the semiconductors from a basically flat “planar” design to one with more vertical structure, earning them the description of “3D”. For users the concepts are simpler to understand – this new transistor design, which will become the standard across all of Intel’s products moving forward, delivers some fundamental benefits to CPUs implemented with them:
Leakage current is reduced to near zero, resulting in very efficient operation for system in an idle state.
Power consumption at equivalent performance is reduced by approximately 50% from Sandy Bridge’s already improved results with its 32 nm process.
. . . but bad reactive marketing can make the problem much worse.
[co-authored by Zachary Reiss-Davis]
As has been widely reported, in sources broad and narrow, Amazon.com’s cloud service EC2 went down for an extended period of time yesterday, bringing many of the hottest high-tech startups with it, ranging from the well known (Foursquare, Quora) to the esoteric (About.me, EveryTrail). For a partial list of smaller startups affected, see http://ec2disabled.com/.
While this is clearly a blow to both Amazon.com and to the cloud hosting market in general, it also serves as an example of how technology companies must quickly respond publicly and engage with their customers when problems arise. Amazon.com let their customers control the narrative by not participating in any social media response to the problem; their only communication was through their online dashboard with vague platitudes. Instead, they allowed angry heads of product management and CEOs who are used to communicating with their customers on blogs and Twitter to unequivocally blame Amazon.com for the problem.
What is it that you think makes one tech company stand out from another? “My product is better than your product”? Not anymore. “My salespeople are better than your salespeople”? Possibly. “My channel is better than your channel”. You’re getting warmer. How about, “My marketing machine is better than your marketing machine”?
For example, 41% of customers identify “the vendor’s (not including its salespeople’s) ability to understand our business problem”, compared with only 21% who identified “the vendor’s salesperson’s ability to understand our business problem” as the most important vendor action factor when selecting a tech vendor. Marketing is clearly the difference-maker.
But cloud computing changes everything. The implications of cloud computing go far beyond its technology delivery/consumption model. It seems I get questions from tech marketers about all things cloud these days. A few examples:
“How can I use the cloud more effectively to market our solutions?” (Answer: It’s not what you read in USA Today about Facebook and Twitter. According to the results of our 2011 B2B Social Technographics® survey, discussion forums and professional social networking sites (read: not consumer social sites) outpace Facebook and Twitter ten-fold as information sources for informing businesses’ technology purchase decisions.)
The lines are blurring between software and services — with the rise of cloud computing, that trend has accelerated faster than ever. But customers aren’t just looking at cloud business models, such as software-as-a-service (SaaS), when they want more flexibility in the way they license and use software. While in 2008 upfront perpetual software licenses (capex) made up more than 80% of a company’s software license spending, this percentage will drop to about 70% in 2011. The other 30% will consist of different, more flexible licensing models, including financing, subscription services, dynamic pricing, risk sharing, or used license models.
Forrester is currently digging deeper into the different software licensing models, their current status in the market, as well as their benefits and challenges. We kindly ask companies that are selling software and/or software related services to participate in our ~20-minute Online Forrester Research Software Licensing Survey, letting us know about current and future licensing strategies. Of course, all answers are optional and will be kept strictly confidential. We will only use anonymous, aggregated data in our upcoming research report, and interested participants can get a consolidated upfront summary of the survey results if they chose to enter an optional email address in the survey.
A lot has been written about potential threats to Intel’s low-power server hegemony, including discussions of threats from not only its perennial minority rival AMD but also from emerging non-x86 technologies such as ARM servers. While these are real threats, with potential for disrupting Intel’s position in the low power and small form factor server segment if left unanswered, Intel’s management has not been asleep at the wheel. As part of the rollout of the new Sandy Bridge architecture, Intel recently disclosed their platform strategy for what they are defining as “Micro Servers,” small single-socket servers with shared power and cooling to improve density beyond the generally accepted dividing line of one server per RU that separates “standard density” from “high density.” While I think that Intel’s definition is a bit myopic, mostly serving to attach a label to a well established category, it is a useful tool for segmenting low-end servers and talking about the relevant workloads.
Intel’s strategy revolves around introducing successive generations of its Sandy Bridge and future architectures embodied as Low Power (LP) and Ultra Low Power (ULP) products with promises of up to 2.2X performance per watt and 30% less actual power compared to previous generation equivalent x86 servers, as outlined in the following chart from Intel:
So what does this mean for Infrastructure & Operations professionals interested in serving the target loads for micro servers, such as:
The drum continues to beat for converged infrastructure products, and Dell has given it the latest thump with the introduction of vStart, a pre-integrated environment for VMware. Best thought of as a competitor to VCE, the integrated VMware, Cisco and EMC virtualization stack, vStart combines: