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performance-and-cost-optimization

Use when setting latency budgets per request type, when tracking LLM cost per call type, when designing a caching strategy, when reviewing bundle size, when profiling a slow path, or when a service is approaching its latency or cost SLO.

3estrelas
Atualizado há 5 meses

Ver no GitHub ↗ Licença: MIT

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Performance and Cost Optimization

Overview

Define what "fast enough" and "cheap enough" mean before optimizing anything. Output is .forge/performance-budget.md — latency budgets per request path, LLM cost budgets per call type, the caching strategy (key schema, TTLs, invalidation), frontend bundle budgets, and the profiling targets. Pairs with observability (the dashboards that measure compliance) and scalability-analysis (the growth projection that decides when to invest).

Wh

[Description truncada. Veja o README completo no GitHub.]

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