AWS Compute Optimizer
Learn how to optimize the cost and performance by identifying both underutilization and overutilization of resources using Amazon's Compute Optimizer.
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Imagine working for an organization that manages several applications and servers that utilize several different types of AWS Compute services. It’s important that we choose the right number of these computing resources and the right configuration for them to ensure that we get the best possible performance at the lowest possible cost. Doing so can be tricky and we can end with unexpectedly high costs or underperforming resources.
AWS Compute Optimizer is one such AWS service that provides us with ML-based recommendations for the most optimal compute resource configurations to avoid underutilization or overutilization of resources.
Introduction to AWS Compute Optimizer
AWS Compute Optimizer is an AWS service that provides recommendations to optimize AWS compute resources. It helps us choose the optimal AWS compute resources for our application workloads based on our usage patterns.
AWS Compute Optimizer looks at historical utilization data, like CPU, memory, and network usage, to understand the workload’s resource needs. It then suggests more cost-effective resources or configurations that still meet performance requirements. These might include changing to a different instance type ...