New: Observability Enhancements

This release adds optional OpenTelemetry support for improved monitoring and configurable log levels for self-hosted Databrain deployments.

Upgrade Notes

No action required for upgrade - all defaults maintain current behavior. Your existing deployment will work exactly as before without any configuration changes.

New Features

Configurable Log Levels

You can now control the verbosity of application logs via the LOG_LEVEL environment variable:

LOG_LEVEL=info    # Default - same as current behavior
LOG_LEVEL=debug   # Enable detailed debug logs for troubleshooting
LOG_LEVEL=warn    # Only warnings and errors
LOG_LEVEL=error   # Only errors

OpenTelemetry Integration (Optional)

Enable comprehensive observability with OpenTelemetry to get:

API Latency Tracking: Automatic timing for all endpoints
Error Rate Metrics: Monitor application health
Distributed Tracing: See exactly where time is spent in each request
Log Correlation: Link logs to specific request traces

To enable, add these to your .env:

OTEL_ENABLED=true
OTEL_EXPORTER_OTLP_ENDPOINT=http://your-collector:4318

OpenTelemetry data can be exported to any OTLP-compatible backend including:

Grafana (Tempo + Loki + Prometheus)
SigNoz
Jaeger
Datadog
New Relic

New Environment Variables

Variable	Default	Description
`LOG_LEVEL`	`info`	Log verbosity (debug/info/warn/error)
`OTEL_ENABLED`	`false`	Enable OpenTelemetry
`OTEL_EXPORTER_OTLP_ENDPOINT`	-	OTLP collector URL
`OTEL_SERVICE_NAME`	`databrain-api`	Service name in traces

Documentation

See the Observability Setup Guide for detailed configuration instructions.

​New: Observability Enhancements

​Upgrade Notes

​New Features

​Configurable Log Levels

​OpenTelemetry Integration (Optional)

​New Environment Variables

​Documentation