How do you implement agentic AI for automated system capacity right-sizing?
System capacity right-sizing agents analyze resource utilization patterns to recommend optimal instance sizes and configurations. Configure agents with access to infrastructure monitoring, application performance data, and cloud pricing APIs. The agent profiles workload characteristics including CPU utilization patterns, memory consumption, I/O patterns, and network throughput. Compare actual utilization against allocated capacity to identify over and under-provisioned resources. Generate rightsizing recommendations with specific instance type changes and projected cost impact. Implement safety margins that account for peak loads and growth trends. Support workload-aware recommendations that consider burst patterns and diurnal cycles. Track savings realized from implemented recommendations and measure performance impact to validate suggestions.