What problem does it solve?
It prevents performance regressions and surprise cloud spend by requiring explicit, measurable budgets for latency, payload, frontend health, queries, memory, and unit economics before a change ships.
Core Features & Use Cases
- Define budgets you can enforce: Establish percentile-based targets (e.g., P95/P99) for user-facing latency and ensure they are checked automatically in CI/CD rather than documented.
- Cover end-to-end bottlenecks: Use frontend budgets (LCP, INP, CLS, TTI), bundle-per-chunk budgets, database execution and resource-cost budgets, and cloud cost unit economics.
- Make tradeoffs quantifiable: Drive architectural decisions (caching, indexing, pagination, code splitting, autoscaling) using justified baseline measurements and escalation rules.
Quick Start
Use performance-budgeting to define and enforce P95/P99 latency, frontend Core Web Vitals, bundle size per route/chunk, query cost via EXPLAIN validation, and CI/CD release gates for the change you are about to ship.