Step F: Performance Testing
Latency benchmarks → throughput validation → production readiness
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📊 Step F: Performance Benchmarks + Production Readiness
🚀 Philosophy: Fast Enough for Production
Users won't tolerate slow systems. Prove latency, throughput, and memory usage are production-ready.
8.1 Store Operation Latency
10 sequential stores → avg latency <2s, no outliers >5s
8.2 Retrieval Performance
100 catalog lookups → avg latency <500ms
8.3 Sustained Throughput
30s load test → maintain ≥2 ops/sec (realistic human usage) with graceful rate limiting
8.4 Memory Usage
Client-side heap usage <50% of limit (no memory leaks)
8.5 Complex Query Performance
50-record batch retrieval <1s (database query optimization)
6.2 Test Volumes
1k bottles/tenant baseline; 10k bottles (staging, if feasible); multi-tenant: 50 × 500 bottles
6.3 Worst-Cases
Large conversation JSONB; high-frequency small memories; heavy search queries
6.4 Confirm Indexes
Catalog: (tenant_id, tier, time_bucket, sequence); Bottles: (tenant_id, created_date); GraphNodes: search indexes
📊 Step F: Performance Testing
Philosophy: Users won't tolerate slow systems.
What we're testing:
- Store latency: avg <2s, no outliers >5s
- Retrieval speed: catalog lookups <500ms
- Sustained throughput: ≥8 ops/sec for 30 seconds
- Memory usage: client heap <50% of limit
- Complex queries: 50 records in <1s
Goal: Prove the system is fast enough for production use.
Click "Run Step F Test Suite" to benchmark performance.