Unlike on-premises environments—which have comprehensive, publicly available benchmarks—there are no publicly available benchmarks on CPU and memory for instances in the public cloud. Benchmarks, which refer to how much CPU and memory each machine can handle, enable IT teams to determine how many workloads and what type of workloads to run on which machines.
Once an organization has migrated to the cloud, it’s easier to right-size workloads because you can already see how your workloads are performing, and comparing cloud instances is an “apples to apples” comparison. However, without publicly available benchmarks for the public cloud, it’s impossible for companies to translate their on-premises infrastructure to the cloud. It is, in fact, an “apples to oranges” comparison.
Without benchmarks, it’s impossible to accurately predict the performance of workloads in the cloud, therefore making it extremely difficult to calculate an accurate cloud TCO, determine which applications to move and when, and immediately migrate to a right-sized environment. Essentially, without benchmarks, many cloud decisions are based on incomplete information or best guesses, which result in not-so-pleasant surprises in terms of performance and cost after migration.
That’s why at Cloudamize, we developed benchmarks for the public cloud.
How Cloudamize Develops Benchmarks for Accurately Predicting Performance and Cost
At Cloudamize, we create benchmarks for the public cloud by profiling every public cloud CPU option on the market. Our platform runs a series of 500 experiments on each individual instance using real-world workloads in a live cloud environment to see what each instance can handle in terms of CPU and memory.
After running these experiments, we average the numbers and determine the “horsepower” number for that instance—which is the benchmark of what that instance can handle in terms of CPU and memory usage.
The Impact of Public Cloud Benchmarking
Benchmarking allows Cloudamize to accurately predict the compute performance in the cloud for each on-premises workload. The Cloudamize platform combines on-premises performance analysis, customer preferences, and the cloud benchmarking to identify, for each workload, the CPU options in the cloud that will meet that workload’s performance requirements. Of those, it finds the option that will be the least expensive. Thus, you ensure performance requirements are met at the lowest possible cost.
By accurately predicting performance in the cloud with benchmarks, companies can develop an accurate TCO for precise financial calculations, determine what workloads to move versus which workloads to keep on-premises, and migrate to a right-sized environment with confidence that cost and performance will meet expectations.
Of course, CPU and memory are only one part of the challenge. Identifying optimal storage and network settings for each workload are also critical and usually more complicated. We tackle this at Cloudamize as well, which you can read more about here.
Understanding how much a workload will cost and perform in the cloud with a high degree of precision enables organizations to have confidence in their cloud decisions, ultimately making cloud migrations faster, easier, and more accurate.