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Building 24 Microservices in 6 Months: Lessons from the Trenches

How a small team shipped a complete enterprise AI platform. Spoiler: it wasn't magic, it was discipline.

Marcus Rodriguez

CTO & Co-founder

January 5, 20267 min read

[IMAGE PLACEHOLDER: Featured image for "Building 24 Microservices in 6 Months: Lessons from the Trenches"]

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.

    Tags:#architecture#microservices#python#gcp
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    Marcus Rodriguez

    CTO & Co-founder

    Building the future of enterprise AI at Thalamus. Passionate about making powerful technology accessible to businesses of all sizes.

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