Performance
Run, interpret, and act on Meshery performance profiles using load generators and LLM-assisted analysis.
3. Performance Management with AI
Learn to run structured load tests against cloud native services using Meshery performance profiles, interpret results with an LLM, and make performance a durable quality gate in your deploy loop.
20 minutes read
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Performance problems in cloud native systems surface in subtle ways - a p99 latency spike after a routine rollout, a drop in throughput after a config change, or a memory leak that only appears under sustained load. Catching these issues early requires repeatable, automated testing tied directly to the change lifecycle.
This course walks you through Meshery’s performance management capabilities: defining profiles that capture service-level objectives, selecting the right load generator for each workload type, and feeding raw results to a coding agent that interprets the numbers and proposes targeted tuning actions. You will also learn how to compare runs against a stored baseline so that regressions are caught - and blocked - before they reach production.
By the end of this course you will be able to wire performance testing into your development workflow the same way you wire in unit tests: as an automated, objective signal that every change must pass.