Based on the very high interest in this blog and its cloud predictions we are planning to host a Forrester Teleconference entiteled "2012 — The Year The Cloud Matures: A Deeper Dive Into 10 Cloud Predictions For The Upcoming Year" on February 28th, 1-2pm EST/6-7pm UK time, where we will highlight and go through the 10 below predictions one by one. For more details and registration please follow the link to the: teleconference web page.
1. Multicloud becomes the norm
As companies quickly adopt a variety of cloud resources, they’ll increasingly have to address working with several different cloud solutions, often from different providers. By the end of 2012, cloud customers will already be using more than 10 different cloud apps on average. Cloud orchestration will become a big topic and an opportunity for service providers.
2. The Wild West of cloud procurement is over
While 2011 still witnessed different stakeholders within a company brokering (sometimes unsanctioned by IT) a lot of cloud deals, most companies will have established their formal cloud strategy by the end 2012, including the business models between IT and lines of business for their own, private cloud resources.
As 2011 begins to wind down, we can look back on the progress made over the last 11 months with a lot of pride. The market stepped significantly forward with big gains in adoption by leaders Amazon Web Services (AWS) and Rackspace, significant growth in the use of clouds for big data, training, test and development, the creation of landmark new services, and the dawning of the App-Internet era. Cloud technologies matured nearly across the board as did transparency, security, and best practice use and adoption. But there’s much more growth ahead as the cloud is no longer a toddler but has entered the awkward teenage years. And much as found in human development, the cloud is now beginning to fight for its own identity, independence, and place in society. The next few years will be a painful period of rebellion, defiance, exploration, experimentation, and undoubtedly explosive creativity. While many of us would prefer our kids go from the cute pre-teen period straight to adulthood, we don’t become who we are without surviving the teenage years. For infrastructure & operations professionals, charged with
Forrester has done quite a number of reports in the last two years around platform-as-a-service (PaaS) from the long-term strategy perspective from me and from the application developer perspective from my friend John R. Rymer. During this time, we saw many different business cases around PaaS. We have predicted and quantified that the major buying power of PaaS will come out of three camps:
ISVs are buying PaaS technology. This is a model that we saw with many ISVs on major platforms that managed to create a viable marketplace such as salesforce.com's AppExchange and Google's marketplace.
Corporate application developers are using PaaS to deploy custom apps and add-ons around SaaS applications. They are doing this significantly faster and at a lower TCO than before.
Forrester just published parts I & II of its market overview of the public cloud market and these reports, written primarily for the Infrastructure & Operations (I&O) professionals, reveal as much about you – the customers of the clouds – as it does about the clouds themselves.
As discussed during our client teleconference about these reports, clearly the Infrastructure as a Service (IaaS) market is maturing and evolving and the vendors are adapting their solutions to deliver greater value to their current customers and appeal to a broader set of buyers. In the case of pure clouds such as Amazon Web Services, GoGrid and Joyent, the current customers are developers who are mostly building new applications on these platforms. Their demands focus on enabling greater innovation, performance, scale, autonomy and productivity. To broaden the appeal of their cloud services, they aim to deliver better transparency, monitoring, security and support – all things that appeal more to I&O and security & risk managers (SRM).
You know there are developers in your company using public cloud platforms, but do you really know what they are doing? You suspect it’s just test and development work, but are you sure? And if it is production workloads are they taking the steps necessary to protect the company? We have the answers to these questions and you may be surprised by how far they are going.
It’s tough being an infrastructure & operations professional these days. According to our ForrSight surveys, for every cloud project you know about there could be 3 to 6 others you don’t know about. Business unit leaders, marketing and sales professionals and Empowered developers are leading the charge. They aren’t circumventing I&O as a sign of rebellion – they simply are trying to move quickly to drive revenue and increase productivity. While every I&O professional should be concerned about this pattern of shadow IT and its implications on the role of I&O in the future, the more immediate concern is about whether these shadow efforts are putting the company at risk.
The bottom line: Cloud use isn’t just test and development. In fact, according to our ForrSight research there’s more production use of IaaS cloud platforms than test and development and broader use is coming (see Figure 1 below). The prominent uses are for training, product demonstration and other marketing purposes. Our research also shows that test and development projects in the cloud are just as likely to go to production in the cloud as they are to come back to your data center.
After three days of cloudwashing, cloud-in-a-box and erector set private cloud musings at Oracle OpenWorld in San Francisco this week, CEO Larry Ellison chose day four to take the wraps off a legitimate move into cloud computing.
Oracle Public Cloud is the unification of the company's long-struggling software-as-a-service (SaaS) portfolio with its Fusion applications transformation, all atop Oracle VM and Sun hardware. While Ellison spent much of his keynote taking pot shots at his former sales executive and now SaaS nemesis, Salesforce CEO Mark Benioff, the actual solution being delivered is more of a direct competitor to Amazon Web Services than Force.com. The strongest evidence is in Oracle's stance on multitenancy. Ellison adamantly shunned a tenancy model built on shared data stores and application models, which are key to the profitability of Salesforce.com (and most true SaaS and PaaS solutions), stating that security comes only through application and database isolation and tenancy through the hypervisor. Oracle will no doubt use its own Xen-based hypervisor, OracleVM rather than the enterprise standard VMware vSphere, but converting images between these platforms is quickly proving trivial.
In the IaaS market the open source torch has officially been passed from Eucalyptus to OpenStack, a community effort that is showing strong momentum in both vendor participation and end user interest. But now it needs to start showing staying power, and that's just what I expect to see at this week's OpenStack Design Summit in Boston. What started as an effort to leverage the open community to help advance the technologies started by Rackspace and NASA has now turned into a vibrant community advancing IaaS technologies at a rapid pace. What it was lacking up until this summer was solid go-to-market momentum. But now:
I recently published an update on power and cooling in the data center (http://www.forrester.com/go?docid=60817), and as I review it online, I am struck by the combination of old and new. The old – the evolution of semiconductor technology, the increasingly elegant attempts to design systems and components that can be incrementally throttled, and the increasingly sophisticated construction of the actual data centers themselves, with increasing modularity and physical efficiency of power and cooling.
The new is the incredible momentum I see behind Data Center Infrastructure Management software. In a few short years, DCIM solutions have gone from simple aggregated viewing dashboards to complex software that understands tens of thousands of components, collects, filters and analyzes data from thousands of sensors in a data center (a single CRAC may have in excess of 20 sensors, a server over a dozen, etc.) and understands the relationships between components well enough to proactively raise alarms, model potential workload placement and make recommendations about prospective changes.
Of all the technologies reviewed in the document, DCIM offers one of the highest potentials for improving overall efficiency without sacrificing reliability or scalability of the enterprise data center. While the various DCIM suppliers are still experimenting with business models, I think that it is almost essential for any data center operations group that expects significant change, be it growth, shrinkage, migration or a major consolidation or cloud project, to invest in DCIM software. DCIM consumers can expect to see major competitive action among the current suppliers, and there is a strong potential for additional consolidation.
A project I’m working on for an approximately half-billion dollar company in the health care industry has forced me to revisit Hyper-V versus VMware after a long period of inattention on my part, and it has become apparent that Hyper-V has made significant progress as a viable platform for at least medium enterprises. My key takeaways include:
Hyper-V has come a long way and is now a viable competitor in Microsoft environments up through mid-size enterprise as long as their DR/HA requirements are not too stringent and as long as they are willing to use Microsoft’s Systems Center, Server Management Suite and Performance Resource Optimization as well as other vendor specific pieces of software as part of their management environment.
Hyper-V still has limitations in VM memory size, total physical system memory size and number of cores per VM compared to VMware, and VMware boasts more flexible memory management and I/O options, but these differences are less significant that they were two years ago.
For large enterprises and for complete integrated management, particularly storage, HA, DR and automated workload migration, and for what appears to be close to 100% coverage of workload sizes, VMware is still king of the barnyard. VMware also boasts an incredibly rich partner ecosystem.
For cloud, Microsoft has a plausible story but it is completely wrapped around Azure.
While I have not had the time (or the inclination, if I was being totally honest) to develop a very granular comparison, VMware’s recent changes to its legacy licensing structure (and subsequent changes to the new pricing structure) does look like license cost remains an attraction for Microsoft Hyper-V, especially if the enterprise is using Windows Server Enterprise Edition.
An important prerequisite for a full cloud broker model is the technical capability of cloud bursting:
Cloud bursting is the dynamic relocation of workloads from private environments to cloud providers and vice versa. A workload can represent IT infrastructure or end-to-end business processes.
The initial meaning of cloud bursting was relatively simple. Consider this scenario: An enterprise with traditional, non-cloud infrastructure is running out of infrastructure and temporarily gets additional compute power from a cloud service provider. Many enterprises have now established private clouds, and cloud bursting fits even better here, with dynamic workload relocation between private clouds, public clouds, and the more private provider models in the middle; Forrester calls these virtual private clouds. The private cloud is literally bursting into the next cloud level at peak times.
An essential step before leveraging cloud bursting is properly classifying workloads. This involves describing the most public cloud level possible, based on technical restrictions and data privacy needs (including compliance concerns). A conservative enterprise could structure their workloads into three classes of cloud:
Productive workloads of back-office data and processes, such as financial applications or customer-related transactions:These need to remain on-premises. An example is the trading system of an investment bank.