
12 logging best practices for useful, manageable production logs
Design structured production logs with consistent levels, useful context, deliberate sampling, request summaries, retention, privacy controls, and measurable overhead.
Practical, source-backed guides for instrumenting, operating, and improving production systems.

Design structured production logs with consistent levels, useful context, deliberate sampling, request summaries, retention, privacy controls, and measurable overhead.

Use Logrus fields, JSON formatters, and synchronous hooks correctly; evaluate maintenance mode, rotation, and migration without breaking log queries.

Configure Loguru sinks, compact JSON, request context, safe exception behavior, standard logging interception, and queue completion before collecting in Guance.

Configure MongoDB systemLog, parse diagnostic JSON, rotate files correctly, and scope profiler settings and overhead before collecting logs in Guance.

Use Monolog 3 handlers, processors, and formatters to preserve request context and exception traces, then verify PHP log collection in Guance.

Add Morgan to Express, build structured request logs, distinguish header and total response time, integrate Winston, and verify fields in Guance.

Configure Nginx access and error logs, emit valid JSON, filter requests deliberately, and verify parsing and trace correlation in Guance.

Set up NLog targets and rules, JSON properties, NLog 6 archiving, asynchronous buffers, and ASP.NET Core integration, then verify collection in Guance.

Build a consistent Node.js logging contract with structured fields, severity, request context, error details, redaction, and verified delivery.

Configure Pino JSON logs, child loggers, error serialization, redaction, worker transports, and crash diagnostics, then verify collection in Guance.

Write and run Node.js tests with node:test, strict assertions, subtests, mocks, hooks, coverage, reporters, and an HTTP server test that cleans up its resources.

Configure a version-pinned Collector Helm chart, choose DaemonSet or Deployment, and verify trace export to a matching DataKit endpoint.