There are many benefits credited to the cloud, including its accessibility, extensibility, security, moving CapEx to OpEx, resiliency, etc. However, one the major benefits that occasionally gets overlooked in all of the discussions about the cloud is how its “elasticity” is both a benefit on its own as well as the enabler for driving operational efficiency and effectiveness.
If you have not heard the term “elastic computing” or the use of the word “elasticity” in discussions of the benefits of the cloud, in simple terms here is what you need to know. The term refers to the ability of the cloud to do two things that are very valuable:
- Allow enterprises to only use and pay for the computing resources they need when they need them.
- By being almost instantaneously available based on need, performance is optimized as a result of having the right computing resources applied for the job at hand.
Optimized cloud infrastructure translates into better resource management and app performance
If you are an IT professional, you are more than aware that obtaining optimal price performance out of your resources is a challenge. In short, planning for and achieving utilization goals that make sense to handle peak loads without costing significant expense during less than peak times is in many ways you holy grail. That said, realities are that in many if not most environments, even workloads running in the cloud are not required 24/7, but at particular times throughout the day or through the week. Some workload demands are based on dynamic load indicators such as CPU or memory use across a set of vServers. Other workload demands are more regular, scaling up at particular times and scaling down at other times. Adding to all of this is the fact that traffic because of globalization, the virtualization of work and the explosion of applications usage has become increasingly unpredictable.
What all this means is the cloud may be the answer but the question is how to make sure it can deal with both the known and the unexpected when it comes to delivering maximum performance and hence maximum value?
One place IT professional are taking a careful look at is thus the elasticity, scaling up and scaling down capabilities and metrics of their own cloud-based solutions and those offered by their cloud providers. One solution IT needs to consider is the collaboration between Savvis and RackWare and their AutoScaling and AutoParking solutions, designed specifically to operate in the Savvis Virtual Private Data Center (VPDC). The names of the capabilities are precisely what they imply. The result is substantial cost savings can be realized by employing policies whereby strategically timed parking and unparking, and provisioning and decommissioning of vServers happens automatically and gracefully. The result is a low overhead, easy to configure, optimization of VPDC resources, maximizing the value of VPDC architecture while minimizing costs.
The details on how automatic parking and unparking can impact your applications performance and as importantly your bottom line will be the subject of the second in our six-part Cloud webinar series be held Thursday, Oct. 17, 2013 at 12 p.m. EDT/ 9 a.m. PDT entitled, “Optimizing your cloud infrastructure for improved application performance.” You are invited to join me and Sash Sunkara, founder and CEO Rackware; Todd Matters, VP of Engineering, RackWare; and Sachin Bansal, Business Development, Savvis, as we discuss:
- How automatic scaling and parking on Savvis CDC can be easily set up and modified.
- The significant cost savings that can be realized leveraging the scaling flexibility of CDC.
- The availability and agility that can be achieved using automatic scaling and parking.
In a world that I characterize as “The Age of Acceleration”—where the only constants are change and the speed at which it is increasing—being elastic is not just a good thing, it is emerging as critical. This is not just about being agile it is also about making sure that agility means enhancing rather than impeding performance. Now is a good time to find out how and why.
Edited by Alisen Downey