Go + TypeScript Monolith: The Unlikely Pair Powering TormentNexus's AI Backend

Description and use

A modular monolith built with Go and TypeScript delivers high performance and simple deployment for TormentNexus’s AI backend, enabling rapid model addition and streamlined debugging.

Problem

Choosing a scalable, low‑latency architecture for an AI inference platform while minimizing operational overhead.

Outcome

The monolith achieved 10,000 req/s with <50 ms p99 latency, reduced operational overhead, and enabled rapid feature rollout by eliminating network hops and simplifying debugging.

Workflow

• 1. Define domain boundaries as separate Go packages (auth, orchestrator, logging, infrastructure).
• 2. Define TypeScript packages for UI and server‑side rendering (Next.js, GraphQL).
• 3. Use Go for high‑throughput API gateway, WebSocket handling, and CPU‑bound orchestration logic.
• 4. Use TypeScript for admin dashboard, server‑side rendering, and shared type definitions via JSON schemas.
• 5. Enforce strict public APIs and dedicated test suites for each package.
• 6. Deploy the entire monolith as a single static binary via CI/CD.
• 7. Add new AI model adapters as Go packages; orchestrator discovers them instantly.
• 8. Test components in isolation by mocking internal package calls without network hops.

Evidence

We trade the infinite horizontal scalability of each individual service in a microservices setup for the absolute performance, simplicity, and debuggability of a unified system.

Source

Our architecture is a single, deployable unit composed of over 35 well‑defined internal packages, each with strict interfaces.

Source