FastAPI Observability & Monitoring FAQs

Question 1

What logging library does this skill utilize?

Accepted Answer

The skill uses 'structlog' to provide high-performance structured logging, supporting JSON formats for production environments and human-readable console output for local development.

Question 2

Can I track custom metrics like database latency?

Accepted Answer

Absolutely. The skill provides pre-built decorators to easily track latency and hit rates for database queries and cache operations using Prometheus Histograms and Counters.

Question 3

Is this skill compatible with Kubernetes?

Accepted Answer

Yes, it includes specialized health check routes (/health/live and /health/ready) designed specifically to work with Kubernetes liveness and readiness probes.

Question 4

How are request IDs handled?

Accepted Answer

The skill includes middleware that generates a unique UUID for every request, binds it to the logging context for trace-ability, and returns it in the X-Request-ID response header.

Question 5

Does it support distributed tracing across services?

Accepted Answer

Yes, it implements OpenTelemetry with OTLP exporters, allowing you to trace requests through FastAPI, HTTP clients, and Redis across your entire microservice architecture.

FastAPI Observability & Monitoring

Key Features

Use Cases

FastAPI Observability & Monitoring

Key Features

Use Cases