Off Hercules. Onto production.
Hercules and similar high-throughput inference stacks are great for raw speed, but eventually teams need to integrate them into standard web architectures. Migrations here involve wrapping the high-performance core in a stable, scalable API layer that the rest of the enterprise can consume safely.
The structural reasons.
Need to expose raw inference through a standard REST/GraphQL API
Requires enterprise-grade auth and rate-limiting
Need better observability than raw stdout logs
Target stack. Defaults, not dogma.
These are the choices we'd recommend for most Hercules migrations. The audit week is where we adjust for your specific constraints — compliance, team skills, existing infrastructure.
Hercules gotchas. All known.
The patterns specific to Hercules that catch teams trying to migrate themselves. We've seen each of these enough times to plan for them up front.
Queue management
Raw inference servers drop requests under load. We implement robust queuing.
Streaming protocols
Translating custom TCP streams into standard Server-Sent Events (SSE).
A typical Hercules migration.
Yours will land within a few items of this. The line-item quote from the audit is what makes it specific.
- Build stable API wrapper around inference engine
- Implement request queuing and auto-scaling
- Set up standardized streaming endpoints
Other migrations we run.
Ready to leave Hercules?
Audit week is where it gets specific. Five business days, fixed price, real plan.