outfitter-logging

You implement structured logging with automatic redaction by configuring a logger via the @outfitter/logging library to mask sensitive data like passwords and API keys from your application telemetry.

Structured logging records log messages with key-value metadata, making it easier to parse and analyze application telemetry, which is needed to improve debugging and monitoring in development and production environments.

Yes, you can direct structured logs to multiple destinations by configuring custom sinks, allowing you to route log output simultaneously to the console, files, or external services for monitoring.

You configure custom log levels by setting up your logger through the @outfitter/logging library, facilitating granular control over the verbosity of your structured logging output across different environments.

Yes, the @outfitter/logging library supports custom redaction patterns, enabling you to define specific rules alongside predefined patterns to automatically mask API keys and other sensitive information in logs.

Predefined redaction patterns for secure logging only mask known sensitive data formats, meaning you must supplement them with custom patterns to ensure comprehensive coverage for non-standard or proprietary sensitive fields.