Chinese media outlets recently published a speech given by Huawei CEO Ren Zhengfei in which he addressed Huawei’s enterprise business. This speech was not only represents the first public enterprise business overview since Huawei entered the market three years ago, but it also details the firm’s enterprise business development strategy for 2014.
First note that Huawei recorded US$2.5 billion in enterprise revenue in 2013, representing year-on-year growth of 33% — which did not meet the company’s expectations. Mr. Ren’s speech shows how Huawei is further fine-tuning its enterprise strategy and what that means for end users. He said that Huawei:
Has an enterprise solution to support your big data strategy. Organizations need to translate huge amounts of data into business outcomes. While Huawei’s big data hardware solution didn’t address business requirements by industry and region, it plans to build complete big data solutions using FusionCube, its converged infrastructure product.
Will centralize its resources in key products and regions. This is a good strategy for Huawei’s enterprise business, which focuses mainly on Asia Pacific and Europe. By concentrating on key countries like China, Japan, and India, Huawei can improve its local service capabilities, including maintenance, tech support, and ecosystem development, via ISVs and SIs.
With budgets tight and new agendas for social, mobile and cloud, for many, green initiatives are middle to low priority, often considered but secondary to price and convenience. So why should you care about green?
Customers today are increasingly interested in green alternatives. In the recent report Why Every Online Retailer Needs To Think Green, Sucharita Mulpuru uses Forrester’s consumer Technographics® data to reveal that more than 50% of today's US online adults can be categorized as green consumers, interested in buying green products or buying from brands that engage in green initiatives, such as supply chain transparency or carbon reporting. For online retailers, this represents a significant growth opportunity, as the majority of this consumer segment is not only classified as “high spending,” but also willing to spend more on green alternatives, and more likely to advocate for these products.
Dell just picked up Enstratius for an undisclosed amount today, making the cloud management vendor the latest well-known cloud controller to get snapped up by a big infrastructure or OS vendor. Dell will add Enstratius cloud management capabilities to its existing management suite for converged and cloudy infrastructure, which includes element manager and configuration automator Active System Manager (ASM, the re-named assets acquired with Gale Technologies in November), Quest Foglight performance monitoring, and (maybe) what’s still around from Scalent and DynamicOps.
This is a good move for Dell, but it doesn’t exactly clarify where all these management capabilities will fall out. The current ASM product seems to be a combo of code from the original Scalent acquisition upgraded with the GaleForce product; regardless of what’s in it, though, what it does is discover, configure and deploy physical and virtual converged infrastructure components. A private cloud automation platform, basically. Like all private cloud management stacks, it does rapid template-based provisioning and workflow orchestration. But it doesn’t provision apps or provision to public or open-source cloud stacks. That’s where Enstratius comes in.
At the OpenStack Summit in Portland last week, the open-source cloud platform got real, to echo Forrester’s cloud team predictions for 2013. At the busy gathering attended by over 2,400, suits mingled effortlessly with hoodies and deep-tech design committee meetings were sandwiched between marquee-name customers sharing success stories. Three core themes drove the show, as outlined by Jonathan Bryce in the opening keynote: the OpenStack technology platform has matured, the ecosystem is vibrant, and the global user footprint now includes enterprise customers doing real business.
The show followed on the heels of the Grizzly release, the 7th release of the OpenStack platform. Along with stronger support for VMware and Microsoft hypervisors, Grizzly widens block storage options and includes 10+ new enterprise storage platform drivers and workload-based scheduling. A wide range of new network plugins expand the platform’s software-defined networking options and a sexier Dashboard to access, provision and automate resources.
A year and a half ago I broke up with Blackberry and started dating iPhone. It was a clean but cruel breakup: AT&T cancelled my T-Mobile contract on my behalf, the equivalent of getting dumped by your girlfriend’s new boyfriend.
This year I’ve been cheating on my laptop with my iPad. But it’s an on-again, off-again relationship. While I tell my iPad it’s the only one, I keep going back to my laptop. When I travel, my iPad is with me meeting clients. Meanwhile my laptop is in the hotel room surfing the online menu for a turkey club.
The iPad beats my laptop on size, weight, connectivity, and battery life. It also improves the human element when I’m having a face-to-face conversation but need to take notes. These are all critically important to me when I'm out of the office visiting clients or at an event.
But my laptop wins when I need to perform other important activities. For example, the larger screen really helps to write and edit research reports (John Rakowski, you’ll have your edits soon!). Or when I need to approve expenses behind the VPN or access files on my hard drive that I haven’t stored in Google Drive (yes, Forrester sanctioned).
Now that I've had a few months of compare both devices, I come back to outcomes . . .
Cash-starved. Fast-paced. Understaffed. Late nights. T-shirts. Jeans.
These descriptors are just as relevant to emerging tech startups as they are to the typical enterprise IT infrastructure and operations (I&O) department. And to improve customer focus and develop new skills, I&O professionals should apply a “startup” mentality.
A few weeks ago, I had the opportunity to spend time with Locately, a four-person Boston-based startup putting a unique spin on customer insights and analytics: Location. By having consumers opt-in to Locately’s mobile application, media companies and brands can understand how their customers spend their time and where they go. Layered with other contextual information – such as purchases, time, and property identifiers (e.g. store names, train stops) – marketers and strategists can drive revenues and awareness, for example, by optimizing their marketing and advertising tactics or retail store placement.
The purpose of my visit to Locately was not to write this blog post, at least not initially. It was to give the team of five Research Associates that I manage exposure to a different type of technology organization than they usually have access to – the emerging tech startup. Throughout our discussion with Locately, it struck me that I&O organizations share a number of similarities with startups. In particular, here are two entrepreneurial characteristics that I&O professionals should embody in their own organizations:
There has been turmoil and angst recently in the 0pen source community of late over Oracle’s decision to cancel OpenSolaris. Since this community can be expected to react violently anytime something is taken out of open source, the real question is whether this action has any impact on real-world IT and operations professionals. The short answer is no.
Enterprise Solaris users, be they small, medium or large, are using it to run critical applications; and as far as we can tell, the uptake of OpenSolaris as opposed to Solaris supplied and sold by Sun was very low in commercial accounts, other than possibly a surge in test and dev environments. The decision to take Solaris into the open source arena was, in my opinion, fundamentally flawed, and Oracle’s subsequent decision to change this is eminently rational – Oracle’s customers almost certainly are not going to run their companies on an OS that is built and maintained by any open source community (even the vast majority of corporate Linux use is via a distribution supported by a major vendor and under a paid subscription model), and Oracle cannot continue to develop Solaris unless they have absolute control over it, just as is the case with every other enterprise OS. In the same vein, unless Oracle can also have an expectation of being compensated for their investments in future Solaris development, there is little motivation for them to continue to invest heavily in Solaris.
I’ve been getting a number of inquiries recently regarding benchmarking potential savings from consolidating multiple physical servers onto a smaller number of servers using VMs, usually VMware. The variations in the complexity of the existing versus new infrastructures, operating environments, and applications under consideration make it impossible to come up with consistent rules of thumb, and in most cases, also make it very difficult to predict with any accuracy what the final outcome will be absent a very tedious modeling exercise.
However, the major variables that influence the puzzle remain relatively constant, giving us the ability to at least set out a framework to help analyze potential consolidation projects. This list usually includes:
One of the great revolutions in manufacturing of the past decades is just-in-time inventory management. The basic idea is to provision only what is needed for a certain level of operation and to put in place a number of management functions that will trigger the provisioning of inventory. This is one the key elements that allowed the manufacturing of goods to contain production costs. We have been trying to adapt the concept to IT for years with little success. But a combination of the latest technologies is finally bringing the concept to a working level. IT operations often faces unpredictable workloads or large variations of workloads during peak periods. Typically, the solution is to over-provision infrastructure capacity and use a number of potential corrective measures: load balancing, traffic shaping, fast reconfiguration and provisioning of servers, etc.