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

说明与用途

使用 Go 和 TypeScript 构建的模块化单体架构为 TormentNexus 的 AI 后端提供高性能和简化部署，支持快速添加模型并简化调试。

问题

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

结果

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.

工作流

• 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.

证据

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.

来源

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

来源