Cloud computing- myth vs. fact

CLOUD COMPUTING MYTH vs. FACT Companies deploying a cloud computing strategy do so with the expectation of lower infrastructure costs without sacrificing performance. However, reality frequently does not match these expectations. The out-of-the-box cost and performance improvements that organizations anticipated do not materialize without active management, coupled with the necessary tools to right-size and right-price their cloud deployments. 77,000+ That's the number of Amazon Web Services instances that Cloudamize analyzed over a three-month period to examine the facts and dispel the common myths about cloud computing. MYTH FACT 78% My cloud costs are already optimized; I do not need to of AWS instances have cost %24 %$4 ($ make any changes to my pricing plan. saving opportunities of 30% to 60%. In reality, only AWS customers take 31% full advantage of Reserved Instances. of the analyzed instances were reserved. The rest of them were using on-demand pricing model. CAPACITY 76% A USASE I am optimally provisioned for my of the AWS instances analyzed current workload. were not provisioned optimally for their workloads. $. If I am 14% cost savings were identified under-provisioned, I will be required to even when the instances were under-provisioned for up-size my instances CPU or Memory. Switching instance types to meet actual workload requirements can and that will increase my costs. result in savings and performance gains. It's okay to be Overprovisioning is costly. For the over-provisioned, the instances we analyzed that were over extra buffer doesn't provisioned, we identified cost saving recommendation amounting to add significant cost so it makes sense to 34% of what customers were spending. have a buffer. Total Number of Instance Analyzed c1.medium m1.xlarge m1.medium m1.small m1.large other 30625 15694 11250 7910 6866 5210 Pricing Plans (% of intances analyzed by pricing plans used) 21% Reserved Heavy 68% . 3% On-Demand Reserved Medium 7% Reserved Light ΜΥΤΗ FACT Customers will reserve light, medium, and heavy - in We found that only that order. We found that the most common reservation is Reserved Heavy and then Reserved Light. Also, there is a significant difference between heavy and light. 31% of the total instances RESERVED HEAVY were reserved in some way. Cost Optimization Of the instances we analyzed that had cost optimization opportunities the breakdown was: 17% 78% 4% of instances had of instances had of instances had cost cost optimization cost optimization opportunities to optimization opportunities opportunities to save up to 30% to save by 60-95% save 30% to 60% 1% of instances had cost optimization opportunities to save by 95% or greater MYTH FACT Iam optimized and don't need any cost optimization. Majority of the instances can achieve 30-60% cost savings. Performance Optimization Of the instances we analyzed that had performance optimization opportunities the breakdown was: OPTIMALLY PROVSIONED 24% 34% UNDER PROVISIONED 42% OVER PROVISIONED ΜΥTΗ For the instances we For the instances we analyzed that were over provisioned, we identified cost saving recommendation amounting to 34% of what the customers were analyzed that were under provisioned, we identified cost savings of 14% and recommended spending 76% more to reach optimal performance. spending. Are you realizing the full benefit of the cloud? Contact Cloudamize at www.Cloudamize.com Cloudamize Design created by Santosh Kushwaha. www.dasantosh.com %24 %24