observability

Distributed tracing diagnoses production latency by tracking requests across diverse environments like Android, iOS, Web, and Cloud Functions. This framework integrates tracing with structured logging and metrics to pinpoint errors and reduce resolution time.

Configuring alerting and SLIs for service monitoring requires setting actionable thresholds and SLOs. This framework enables real-time issue diagnosis by triggering alerts for unusual response times, allowing you to analyze logs and traces to identify causes.

Yes, you can integrate Sentry and Datadog for production monitoring across Android, iOS, Web, and Firebase environments. The framework supports these platform-specific integrations to collect metrics and structured logs for effective issue diagnosis.

Collecting system and business metrics alongside structured logging in Cloud Functions involves deploying a unified observability framework. This setup ensures all services emit consistent logs and metrics, enabling comprehensive dashboarding and real-time issue diagnosis.

You need SLOs and customized dashboards to monitor key service indicators and prevent outages. By setting actionable alerts for unusual database response times, you can analyze traces and logs to identify potential issues in real-time.