API observability is the practice of generating, collecting, and continuously analyzing telemetry to infer an API’s health, behavior, user activity, and security-relevant events. It helps teams understand failures, investigate unauthorized activity, detect threats, and reduce recovery time. section 11.0 section 11.1
Build observability from complementary telemetry signals:
- Logs record specific events, such as requests and errors. section 11.7
- Traces connect related logs and processing steps within one request context. section 11.7
- Metrics summarize behavior, such as request rates and response times, exposing unusual trends and patterns. section 11.1 section 11.7
- Continuous analysis reveals open-ended problems that threshold-based monitoring may not describe, including unauthorized data access or modified records. section 11.1
Investigating suspicious API behavior
Suppose an order endpoint returns malformed responses, becomes unavailable, or appears to expose data. Capture request events, errors, response status codes, latencies, headers, request bodies, URLs, and trace context. A suspicious request can then be reproduced locally and examined with debugging breakpoints. Record enough detail to investigate, but exclude sensitive fields such as credit-card data from the request body. section 11.0 section 11.5
