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OpenTelemetry — Metrics, Logs, and Traces Under One Roof

20. 07. 2021 Updated: 27. 03. 2026 1 min read CORE SYSTEMSdevelopment
This article was published in 2021. Some information may be outdated.
OpenTelemetry — Metrics, Logs, and Traces Under One Roof

Monitoring tells you “something is wrong.” Observability tells you “why.” OpenTelemetry unified metrics, logs, and traces under a single SDK.

Our Stack

  • OTel SDK in every service (Java, Python, Node.js)
  • OTel Collector as a Kubernetes sidecar
  • Tempo for traces, Prometheus for metrics, Loki for logs
  • Grafana for correlation — spike in metrics → logs → trace

Auto-Instrumentation

The OTel Java Agent automatically instruments Spring Boot, JDBC, HTTP clients, and Kafka. No code changes — just a JVM argument.

Impact on MTTR

Before: 45 minutes (checking logs for each service individually). After: 12 minutes (anomaly → correlation → trace → root cause).

Observability Is Not a Luxury

In a distributed system, you can’t debug without observability. Invest now, before you’re troubleshooting an incident at 3 AM without data.

opentelemetryobservabilitymonitoringgrafanatracing
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