SuperAPI AI Directory

Skills

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Updated 10-20 00:13

Deployment & operations

11,982 results

observability

Observability as an engineering discipline — wide events / canonical log lines, OpenTelemetry instrumentation (traces, metrics, context propagation, sampling, Collector), SLIs/SLOs/error budgets, symptom-based alerting with burn rates, telemetry hygiene, and testing instrumentation as behavior. Use when calls between services cannot be correlated, another team cannot line their side of a call up with ours or find the request it came from, a request or trace id has to cross a service hop, a failure cannot be debugged from the logs, or when instrumenting a service, designing SLOs or alerts, choosing what to log/trace/measure, investigating production unknowns, or reviewing telemetry cost and cardinality. For log transport and shape (stdout, JSON, levels, timestamps) see twelve-factor; for CI failure diagnosis see ci-debugging; for where instrumentation lives in ports-and-adapters codebases see hexagonal-architecture; for environment drift see production-parity-skill-builder; for HTTP error response shape see api-design.

Deployment & operations72 installs