Analyzing Performance Test Results with AWS DevOps Agent

When performance testing is finished, engineers must spend hours manually collecting and correlating metrics from scattered tools such as CloudWatch, RDS, and Datadog. This approach has the limitation that the quality of analysis varies greatly depending on the engineer's skill level.

AWS DevOps Agent automates this process. Without any separate pre-configuration, this agent automatically discovers AWS resources, analyzes correlations between metrics to identify bottlenecks, and even integrates data from external tools like Datadog to provide analysis results.

Key features include automatic Topology building, which automatically maps the architecture; autonomous Investigation analysis, which analyzes logs and metrics based on natural language requests; and Priority-based recommendations, which suggest action plans according to the severity of issues.

In a real-world case, load testing a concert ticketing web application using JMeter confirmed that DevOps Agent can quickly identify bottlenecks within a complex microservices architecture and generate analysis reports.