performance-skill

What problem does it solve?

Streamline and harden the performance of multi-tenant SaaS systems by providing budgets, patterns, and a diagnosis flow to identify bottlenecks across API, frontend, and database layers.

Core Features & Use Cases

• Performance budgeting and measurement for API latency, user-perceived load, and database queries across tenants.
• End-to-end diagnostic guidance for common bottlenecks such as N+1 queries, caching inefficiencies, and queueing/backpressure.
• Backend, frontend, and database patterns that teams can implement to meet scalability goals (N+1 fixes, Redis caching strategies, BullMQ tuning, per-tenant rate controls, and index/TimescaleDB optimizations).
• Use case: optimize a slow dashboard by isolating tenant impact, implementing targeted caching, and validating budgets with p95/p99 measurements.

Quick Start

Diagnose a representative slow API path, apply the performance budgets, and implement a minimal caching and indexing strategy to meet the defined targets.