Monitoring and Observability for Production SaaS: Tools and Patterns
You can't improve what you don't measure. Comprehensive monitoring and observability are essential for production SaaS applications. This guide covers the tools and patterns that keep systems healthy.
The Three Pillars of Observability
Observability consists of metrics, logs, and traces. Metrics tell you what's happening, logs tell you why, and traces show you the request flow through your system.
- •Metrics: CPU, memory, request rate, error rate, response times. Use Prometheus or Datadog.
- •Logs: Structured JSON logs aggregated in ELK stack or similar. Include request IDs for correlation.
- •Traces: Distributed tracing with OpenTelemetry or Jaeger. Shows request flow across services.
Error Tracking
Use services like Sentry, Rollbar, or Bugsnag for error tracking. They provide stack traces, user context, and error grouping. Set up alerts for new errors or error rate spikes.
Performance Monitoring
Monitor API response times, database query performance, and frontend load times. Set up dashboards for key metrics. Use APM tools like New Relic or Datadog for deep insights.
Alerting
Configure alerts for critical metrics: error rate spikes, response time degradation, database connection issues. Use PagerDuty or similar for on-call management. Avoid alert fatigue by setting appropriate thresholds.
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