Observability: Metrics, Logs, and Traces
There are three key pillars in Observability: metrics, logs, and traces. Each serves a different purpose in identifying and troubleshooting issues.
Metrics – These provide a high-level overview of system health, often visualized in graphs or dashboards. For example, if an error rate spikes, a tool like Prometheus or Grafana can help you detect it quickly.
Logs – These contain detailed information about events, errors, and processes. Once an issue is detected via metrics, ELK stack (Elasticsearch, Logstash, Kibana) can help you analyze logs to pinpoint the exact cause.
Traces – These track requests as they move through different services, helping in debugging performance bottlenecks or failures. Tools like Jaeger or APM (Application Performance Monitoring) provide deep insights into service-to-service communication.
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