Need Observability Across Multi-Hop Integration
The head of integration needs observability across systems where requests traverse multiple layers with principal propagation, but gateway-level observability isn't enough.
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Persona Story:
Noah, the head of integration, needs observability across systems where “one thing goes to another thing goes to another thing” with principal propagation, but gateway-level observability isn’t enough.
Problem Context
- “API infrastructure is never like… API gateway hitting a custom developed thing which is self-sufficient”
- “It’s always layered… one thing going to another thing going to another thing”
- “Observability of the gateway itself is okay, but… building this intelligence takes a long time”
Problem Impact
- Gateway observability provides incomplete picture
- Building end-to-end traceability requires significant custom investment
- Cannot attribute issues to correct layer in the stack
Naftiko Today
- Multi-step orchestration with cross-step data mapping makes each hop in an integration chain explicit and declarative in YAML, giving teams a single spec to trace request flow
- outputParameters with JSONPath normalization governs exactly what data passes between layers, making inter-hop payloads inspectable and predictable
- Lookup/JOIN operations document server-side enrichment steps that would otherwise be invisible middleware hops
- JSON Schema validation at each capability boundary catches data contract violations before they propagate downstream
Naftiko Tomorrow
- Control port (Second Alpha) will expose runtime introspection endpoints for live integration health
- Resiliency patterns like circuit breaker and retry (First Beta) will surface failure attribution at the correct layer rather than bubbling opaque errors
- Execution history API (Future) will provide full audit trails across multi-hop orchestration chains
- Conditional steps with parallel-join (Second Alpha) will make branching integration paths observable as first-class constructs in the spec