performance-audit

To identify performance bottlenecks, conduct a design-mode audit assessing architecture, data flows, and latency budgets. This evaluation uncovers architectural traps hampering latency, throughput, and scalability, producing actionable findings for targeted fixes.

To audit code for performance issues, run an implementation-mode audit to map hot code paths, memory usage, I/O patterns, and concurrency issues. This process reveals implementation-level performance bottlenecks and generates targeted optimization steps.

The best way to compare performance across system versions is through comparative analysis. This approach evaluates different versions or systems to prioritize improvements, creating actionable findings with prioritized roadmaps and measurable latency improvements.

Yes, you can evaluate a microservices deployment using a design-mode performance audit. It identifies latency budget violations within the architecture and derives actionable optimization steps to improve overall system throughput and scalability.

To start a performance audit, run a design-mode audit on a target system and scope it to the relevant subsystems. This scoped approach begins collecting data on architectural and implementation bottlenecks to reveal optimization opportunities.