backend-pino

Structured JSON logging outputs log objects instead of strings, enabling easy parsing and filtering in production. Use Pino to configure JSON output, add child loggers for request context, and integrate with observability platforms like Datadog, ELK, Splunk, or CloudWatch for centralized log analysis.

Automatic redaction masks sensitive data like passwords, tokens, and PII before logs reach your observability platform. Pino provides configurable redaction patterns that strip authorization headers and other sensitive fields from every log entry without manual intervention.

Request tracing uses correlation IDs to link all logs from a single request across your system. Implement Pino's Express middleware to capture request IDs, method, path, and response time automatically, then use child loggers to maintain context throughout the request lifecycle.

Structured error logging captures stack traces, error types, and context as queryable JSON fields instead of unreadable text dumps. Pino formats errors for observability platforms, enabling fast incident investigation and precise alerting on error patterns.

Yes. Pino outputs JSON-formatted logs that integrate seamlessly with multiple observability platforms. Configure transport layers to route structured logs to Datadog, CloudWatch, ELK, or Splunk in parallel without code changes across different environments.

Console.log output is unstructured text that's difficult to parse, search, and alert on at scale. Structured logging provides queryable JSON fields, automatic redaction, correlation IDs, and platform integrations—reducing incident response time and improving observability.