Building 24 Microservices in 6 Months
People ask how we built SYNAPTICA so quickly. The answer isn't sexy: discipline, focus, and saying no to almost everything.
The Stack Decision
We chose Python/FastAPI for one reason: velocity. Our team knows it cold, the AI/ML ecosystem is unmatched, and async support means we can handle enterprise scale.
Could we have squeezed more performance from Go or Rust? Maybe. Would we have shipped? Probably not.
The Architecture
24 microservices sounds like a lot. But each one does exactly one thing:
- Infrastructure Layer: Gateway, auth, audit, security
- Orchestration Layer: Runtime, events, scaling, monitoring
- Intelligence Layer: Analytics, reporting, dashboards
- Operations Layer: Provisioning, onboarding, billing
What We Got Right
- Serverless-first: Cloud Run scale-to-zero saved us from premature optimization
- Event-driven: Pub/Sub decoupling meant teams could move independently
- Tenant isolation: Built in from day one, not bolted on later
What We'd Do Differently
- Earlier observability: We added comprehensive monitoring too late
- API versioning: Should have been stricter from the start
- Documentation: Internal docs lagged behind code
The Real Secret
Small team, clear ownership, weekly demos. No heroes, no crunch, no technical debt amnesty.
Sustainable pace wins.