Stabilizing Multi-Tenant Architecture & Cutting Cloud + LLM Spend
Representative engagement pattern for post-Seed B2B SaaS platforms experiencing escalating AWS/RDS bills, slow customer dashboards, and unchecked LLM inference costs.
01 · Incoming Risk Profile
- Unindexed multi-tenant PostgreSQL queries causing 4–8s dashboard latency at peak hours
- Over-provisioned compute, cross-AZ egress, and routing 100% of AI calls to frontier models
- Manual deployments causing recurring Friday regressions and enterprise churn risk
02 · Principal CTO Intervention
- 14-day full-stack APM + SQL explain-plan audit and composite index remediation
- Tiered LLM model routing + prompt/semantic caching + right-sized AWS ECS/RDS topology
- Automated GitHub Actions CI/CD gates, load benchmarks, and cost-per-tenant alerts
03 · Target Engineering Outcomes
- 35%–48% target reduction in monthly cloud & AI inference spend within 45 days
- Sub-200ms API P95 response targets restored without a ground-up rewrite
- Predictable weekly release cadence with zero-downtime blue/green rollouts