Monthly Archives: May 2010
Here’s a round-up of what I’ve written lately, for those of you that are Gartner clients and are following my research:
Data Center Managed Services: Regional Differences in the Move Toward the Cloud is about how the IaaS market will evolve differently in each of the major regions of the world. We’re seeing significant adoption differences between the United States, Western Europe (and Canada follows the WEU pattern), and Asia, both in terms of buyer desires and service provider evolution.
Web Hosting and Cloud Infrastructure Prices, North America, 2010 is my regular update to the state of the hosting and cloud IaaS markets, targeted at end-users (IT buyers).
Content Delivery Network Services and Pricing, 2010 is my regular update of end-user (buyer) advice, providing a brief overview of the current state of the market.
Is a Cloud Content Delivery Network Right for You? is a look at Amazon CloudFront and the other emerging “cloud CDN” services (Rackspace/Limelight, GoGrid/EdgeCast, Microsoft’s CDN for Azure, etc.). It’s a hot topic of inquiry at the moment (interestingly, mostly among Akamai customers hoping to reduce their costs).
Some of my colleagues have also recently published notes that might be of interest to those of you who follow my research. Those notes include:
- Andrea di Maio’s Criteria for Government to Evaluate Cloud Computing
- PaaS analysts collaborating on VMware and Salesforce.com: The Beginning of a Beautiful Friendship?
- Adam Couture and Stan Zaffos’s SNIA Launches First Cloud Storage Standard
- Matt Cain’s Make or Break Time for Microsoft Cloud E-Mail
Historically, software vendors haven’t had to care too much about exactly how their software performed. Enterprise IT managers are all too familiar with the experience of buying commercial software packages and/or working with integrators in order to deliver software solutions that have turned out to consume far more hardware than was originally projected (and thus caused the overall project to cost more than anticipated). Indeed, many integrators simply don’t have anyone on hand that’s really a decent architect, and lack the experience on the operations side to accurately gauge what’s needed and how it should be configured in the first place.
Software vendors needed to fix performance issues so severe that they were making the software unusable, but they did not especially care whether a reasonably efficient piece of software was 10% or even 20% more efficient, and given how underutilize enterprise data centers typically are, enterprises didn’t necessarily care, either. It was cheaper and easier to simply throw hardware at the problem rather than to worry about either performance optimization in software, or proper hardware architecture and tuning.
Software as a service turns that equation around sharply, whether multi-tenant or hosted single-tenant. Now, the SaaS vendor is responsible for the operational costs, and therefore the SaaS vendor is incentivized to pay attention to performance, since it directly affects their own costs.
Since traditional ISVs are increasingly offering their software in a SaaS model (usually via a single-tenant hosted solution), this trend is good even for those who are running software in their own internal data centers — performance optimizations prioritized for the hosted side of the business should make their way into the main branch as well.
I am not, by the way, a believer that multi-tenant SaaS is inherently significantly superior to single-tenant, from a total cost of ownership, and total value of opportunity, perspective. Theoretically, with multi-tenancy, you can get better capacity utilization, lower operational costs, and so forth. But multi-tenant SaaS can be extremely expensive to develop. Furthermore, a retrofit of a single-tenant solution into a multi-tenant one is a software project burdened with both incredible risk and cost, in many cases, and it diverts resources that could otherwise be used to improve the software’s core value proposition. As a result, there is, and will continue to be, a significant market for infrastructure solutions that can help regular ISVs offer a SaaS model in a cost-effective way without having to significantly retool their software.
Congratulations, you’ve virtualized (or gone to public cloud IaaS) and have the ability to instantly and easily provision capacity.
Now, stop and shoot yourself in the foot by not implementing a lightweight procurement process to go with your lightweight provisioning technology.
That’s all too common of a story, and it highlights a critical aspect of movement towards a cloud (or just ‘cloudier’ concepts). In many organizations, it’s not actually the provisioning that’s expensive and lengthy. It’s the process that goes with it.
You’ll probably have heard that it can take weeks or months for an enterprise to provision a server. You might even work for an organization where that’s true. You might also have heard that it takes thousands of dollars to do so, and your organization might have a chargeback mechanism that makes that the case for your department.
Except that it doesn’t actually take that long, and it’s actually pretty darn cheap, as long as you’re large enough to have some reasonable level of automation (mid-sized businesses and up, or technology companies with more than a handful of servers). Even with zero automation, you can buy a server and have it shipped to you in a couple of days, and build it in an afternoon.
What takes forever is the procurement process, which may also be heavily burdened with costs.
When most organizations virtualize, they usually eliminate a lot of the procurement process — getting a VM is usually just a matter of requesting one, rather than going through the whole rigamarole of justifying buying a server. But the “request a VM” process can be anything from a self-service portal to something with as much paperwork headache as buying a server — and the cost-savings and the agility and efficiency that an organization gains from virtualizing is certainly dependent upon whether they’re able to lighten their process for this new world.
There are certain places where the “forever to procure, at vast expense” problems are notably worse. For instance, subsidiaries in companies that have centralized IT in the parent company often seem to get shafted by central IT — they’re likely to tell stories of an uncaring central IT organization, priorities that aren’t aligned with their own, and nonsensical chargeback mechanisms. Moreover, subsidiaries often start out much more nimble and process-light than a parent company that acquired them, which leads to the build-up of frustration and resentment and an attitude of being willing to go out on their own.
And so subsidiaries — and departments of larger corporations — often end up going rogue, turning to procuring an external cloud solution, not because internal IT cannot deliver a technology solution that meets their needs, but because their organization cannot deliver a process that meets their needs.
When we talk about time and cost savings for public cloud IaaS vs. the internal data center, we should be careful not to conflate the burden of (internal, discardable/re-engineerable) process, with what technology is able to deliver.
Note that this also means that fast provisioning is only the beginning of the journey towards agility and efficiency. The service aspects (from self-service to managed service) are much more difficult to solve.