logging-best-practices

Structured logging formats application logs as JSON with standardized fields and ISO 8601 timestamps. It enables machine-readable indexing and centralized search, allowing teams to reliably debug and monitor distributed microservices.

PII redaction in application logs is implemented by applying sanitization rules to your logger configuration. This process removes sensitive data, like user emails, before forwarding error-level logs to centralized stores such as ELK or CloudWatch.

Correlation IDs are added to logs by injecting contextual fields like requestId into all log entries across microservices. This integrates with distributed tracing to connect logs, enabling end-to-end visibility during debugging.

The best way to handle high-volume log traffic is implementing log sampling strategies. Sampling controls the volume of logs generated by high-traffic services, preventing storage overload while retaining necessary debugging data.

Yes, this structured logging approach works with Winston and ELK. You can generate a JSON Winston logger configuration featuring ISO 8601 timestamps, correlation ID injection, PII redaction, and an ELK transport for combined logs.

Centralized logging supports both OpenTelemetry and CloudWatch. It standardizes log levels and formats contextual fields, allowing you to ship logs to CloudWatch or integrate with OpenTelemetry for production monitoring.