Q: Is this a private cloud? AWS said it doesn't believe in private clouds.
A: Yes, despite AWS' protests to the contrary, this is a private cloud. According to the documents that have thus far been made public from this proposal, the CIA is looking for a cloud service (an Infrastructure as a Service) offered on a dedicated set of resources isolated to a specific customer and deployed on CIA-owned resources from within a government owned and operated facility.
Q: Would this be AWS' first private cloud?
A: Yes and no. Yes, it would be the first implementation of the AWS services atop a customer-owned infrastructure and facility asset base. But no, it would not be the first time AWS has delivered an isolated environment offering its services. AWS's GovCloud is also a private cloud for the greater US Government. FedCloud is operated from an AWS-owned facility on AWS owned assets.
Q: Is this a community cloud? What's the difference between that and a private cloud?
Yesterday Intel had a major press and analyst event in San Francisco to talk about their vision for the future of the data center, anchored on what has become in many eyes the virtuous cycle of future infrastructure demand – mobile devices and “the Internet of things” driving cloud resource consumption, which in turn spews out big data which spawns storage and the requirement for yet more computing to analyze it. As usual with these kinds of events from Intel, it was long on serious vision, and strong on strategic positioning but a bit parsimonious on actual future product information with a couple of interesting exceptions.
Content and Core Topics:
No major surprises on the underlying demand-side drivers. The the proliferation of mobile device, the impending Internet of Things and the mountains of big data that they generate will combine to continue to increase demand for cloud-resident infrastructure, particularly servers and storage, both of which present Intel with an opportunity to sell semiconductors. Needless to say, Intel laced their presentations with frequent reminders about who was the king of semiconductor manufacturingJ
Google is officially serious about the enterprise space. I met with Google Enterprise execs hosting their very first analyst day in Singapore recently, and was introduced to their enterprise suite of services, which was, unsurprisingly, similar to their consumer suite of services.
However, while they took their starting point from the consumer end, providing enterprise-ready solutions requires a different level of product calibration. To that end, Google cites spending of approximately US$3 billion annually on building/improving its data center infrastructure, investing in undersea cable systems, and laying fiber networks in the US specifically. In Asia Pacific (AP) last year, they spent approximately US$700 million building three data centers in Singapore, Hong Kong, and Taiwan.
In addition to infrastructure investments, Google has also acquired companies like Quickoffice to enhance their appeal to enterprises weaned on Microsoft Office, while also expanding existing offerings in areas like communications and collaboration (Gmail, Google Plus), contextualized services (Maps, Compute Engine, Big Query), access devices (Nexus range, Chromebook), application development (App Engine) and discovery and archiving (Search, Vault).
My Forrester colleagues Ted Schadler and John McCarthy have written about the differences between Systems of Reference (SoR) and Systems of Engagement (SoE) in the customer-facing systems and mobility, but after further conversations with some very smart people at IBM, I think there are also important reasons for infrastructure architects to understand this dichotomy. Scalable and flexible systems of engagement, engagement, built with the latest in dynamic web technology and the back-end systems of record, highly stateful usually transactional systems designed to keep track of the “true” state of corporate assets are very different animals from an infrastructure standpoint in two fundamental areas:
Suitability to cloud (private or public) deployment – SoE environments, by their nature, are generally constructed using horizontally scalable technologies, generally based on some level of standards including web standards, Linux or Windows OS, and some scalalable middleware that hides the messy details of horizontally scaling a complex application. In addition, the workloads are generally highly parallel, with each individual interaction being of low value. This characteristic leads to very different demands on the necessity for consistency and resiliency.
At the half mark through 2013, both the global and the European tech markets have pockets of strength and other pockets of weakness, both by product and by geography. Forrester's mid-2013 global tech market update (July 12, 2013, “A Mixed Outlook For The Global Tech Market In 2013 And 2014 –The US Market And Software Buying Will Be The Drivers Of 2.3% Growth This Year And 5.4% Growth Next Year”) shows the US market for business and government purchases of information technology goods and services doing relatively well, along with tech markets in Latin America and Eastern Europe/Middle East/Africa and parts of Asia Pacific. However, the tech market in Western and Central Europe will post negative growth and those in Japan, Canada, Australia, and India will grow at a moderate pace. Measured in US dollars, growth will be subdued at 2.3% in 2013, thanks to the strong dollar, and revenues of US tech vendors will suffer as a result. However, in local currency terms, growth will more respectable, at 4.6%. Software -- especially for analytical and collaborative applications and for software-as-a-service products -- continue to be a bright spot, with 3.3% dollar growth and 5.7% in local currency-terms. Apart from enterprise purchases of tablets, hardware -- both computer equipment and communications equipment -- will be weak. IT services will be mixed, with slightly stronger demand for IT consulting and systems integration services than for IT outsourcing and hardware maintenance.