Posts Tagged ‘optimize’

 

How To Optimize Cloud Server Workloads to Maximize Efficiency

Monday, September 24th, 2012 by

If you’re familiar with cloud infrastructure and infrastructure-as-a-service (IaaS), you probably understand the substantial benefits that come along with deploying infrastructure in the public cloud: things like “utility billing and on-demand availability,” “elastic benefits that let you scale resources up and down based on demand,” and “the ability to rapidly move and redeploy workloads as needed.” This flexibility is why we originally brought GoGrid’s hourly pay-as-you-go Cloud Servers to market. They’re perfect for specific cases like these:

  • Periodic workloads that only run for a few hours, days, or weeks during a given billing cycle
  • Short-term, project-based workloads where term commitments aren’t desirable
  • Short-term spikes in workload where demand is erratic and being able to scale resources up and down quickly are desirable
  • Development and test workloads that require rapid iteration and redeployment of resources
  • Proof of concept workloads where instant access to resources and the ability to quickly change technology are key

Customers with steady-state and long-term workloads don’t always need this hourly flexibility, however. And that’s why GoGrid has developed prepaid monthly, semiannual, and annual Cloud Server products. Prepaid Cloud Servers are less flexible, but they do offer significant cost savings in exchange for the term commitment. The shortest prepaid term GoGrid offers is a monthly prepaid Cloud Server and the longest term is an annual prepaid Cloud Server.

If you run a constant workload during a given month, a prepaid term server is probably a better solution than an hourly server. Again, the tradeoff here is flexibility. Prepaid servers are ideal for:

  • Steady-state workloads where demand is constant
  • Workloads that tend to grow rather than contract
  • Production applications where you can plan for demand in advance

For example, imagine you run an eCommerce website. You know you always need three servers to run your operations throughout the year. During the holiday season, however, you know demand is likely to spike. Your deployment of annual servers going into the holiday would look something like this:

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