Monitoring and Observability: A Practical Introduction
You can't fix what you can't see. Here's a practical guide to monitoring your applications effectively.
You can't fix what you can't see. Here's a practical guide to monitoring your applications effectively.
Observability — the ability to understand your system's internal state from its external outputs — is essential for running reliable software. The three pillars of observability are logs, metrics, and traces. Together, they give you the visibility you need to debug issues, understand performance, and make informed decisions.
Start with the basics: health checks that tell you if your service is running, error rates to detect problems, and latency metrics to understand performance. Layer on structured logging for debugging, metrics collection for trend analysis, and distributed tracing for understanding request flows across services.
Popular tools include Prometheus and Grafana for metrics, ELK stack or Loki for logging, and Jaeger or DataDog for tracing. Start simple — a basic health endpoint and error logging can catch most issues. Add complexity as your system grows and your understanding deepens.
Head of Engineering
Maria leads engineering at DevPass. She's a former staff engineer at GitHub and has interviewed over 500 candidates.
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