AWS Compute Optimizer
Explore how AWS Compute Optimizer analyzes your resource usage with machine learning to recommend the best AWS compute configurations. Learn to optimize costs, improve performance, and choose the right sizing for EC2 instances, Auto Scaling groups, EBS volumes, Lambda, and ECS services. Understand its use in migration planning and integrating external metrics for tailored recommendations.
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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.
Introduction to AWS Compute Optimizer
AWS Compute Optimizer is an AWS service that provides us with ML-basesd 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 ...