performance-efficiency

# Performance Efficiency Assessment ## Step 1: Gather context Ask the user: > What workload would you like me to assess for performance efficiency? Please share: > - **Architecture overview** (compute, storage, database, networking services) > - **Performance requirements** (latency targets, throughput needs, concurrent users) > - **Current baselines** (p50/p95/p99 latency, request rates, error rates) > - **Known bottlenecks** (optional — areas you suspect are underperforming) If context is already provided, proceed directly. ## Step 2: Evaluate resource selection Classify findings by severity: - 🔴 **Critical** — actively causing user-facing performance degradation - 🟡 **High** — suboptimal performance, noticeable under load - 🟢 **Medium** — optimization opportunity, not yet impacting users Assess whether optimal resource types are used: - **Compute** — Are instance types matched to workload characteristics? (compute-optimized vs memory-optimized vs general purpose, Graviton adoption) - **Storage** — Are storage tiers matched to access patterns? (gp3 vs io2, S3 classes, EFS vs FSx) - **Database** — Is the database engine appropriate for the access pattern? (relational vs key-value vs document vs graph vs time-series) - **Networking** — Are placement groups, enhanced networking, or accelerated transfers used where latency matters? - **Accelerators** — Are GPUs, Inferentia, or custom hardware used where applicable? ## Step 3: Assess scaling and elasticity Evaluate:...