performance-review

To identify performance bottlenecks, you need a structured assessment comparing measurable baseline metrics against target workloads and SLOs. This process surfaces specific bottlenecks across backend services, database queries, and API surfaces, enabling targeted optimizations within defined performance budgets.

A performance review for a feature or PR is a structured assessment that quantifies performance risks by analyzing bottlenecks, performance budgets, and workloads. It generates a markdown review document and a handoff plan to guide targeted optimizations and ongoing monitoring.

Prioritizing an optimization plan requires multi-expert analysis to estimate the impact of identified bottlenecks on frontend render paths and APIs. By comparing measurable baselines against SLOs, you generate a prioritized optimization plan that targets the most critical performance risks first.

Yes, assessing performance risks requires measurable baselines, target workloads, and defined performance budgets. Without these inputs, the review cannot accurately quantify bottlenecks or generate a valid, prioritized optimization plan for your backend services or frontend render paths.

Load testing provides the target workloads and measurable baselines required for an effective performance review. Integrating load testing data allows the review to accurately assess database queries and API surfaces under defined workloads, producing a structured markdown performance review.

The best way to document performance bottlenecks is by generating a structured markdown performance review plus a handoff plan. This approach captures multi-expert analysis of bottlenecks and performance budgets, while detailing the necessary monitoring and maintenance steps for the target feature.