performance-budgeting

Performance budgets quantify latency, throughput, payload sizes, and Core Web Vitals by defining per-component allocations, explicit percentiles (p50/p95/p99), and separate client and server targets that sum to the top-level goal.

To enforce a budget violation policy, you define concrete actions such as warn, block, or rollback when latency or throughput targets are breached, ensuring performance degradation is actively managed across web, mobile, or API services.

Yes, performance budgeting applies to web, mobile, API, backend, and data pipelines. It requires a named measurement plan and a decomposition of targets that sums to the top budget for each specific service or flow.

Creating a measurement plan involves defining how to monitor latency degradation using RUM and synthetic testing. It requires explicit p50, p95, and p99 percentiles to accurately track client and server budget violations.

Separate client and server budgets are required because latency, payload sizes, and Core Web Vitals manifest differently across the stack. This decomposition ensures the allocated component budgets accurately sum to the top-level target.

A degradation strategy is needed when services face heavy load or resource constraints. It defines how to gracefully degrade throughput, CPU, memory, and cold-start performance while maintaining acceptable latency levels.