Decoding the Observability Pipeline: A Java Architect's Guide to Metrics, Logs, and Traces

May 28, 2026 · 11:22 PM UTC ·6 min read · 0 reactions · 0 comments · 37 views

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The article discusses the importance of observability in modern Java-based microservices architectures. It outlines a structured four-phase pipeline for establishing reliable data streams, emphasizing the need for clear telemetry data. The author also highlights the three pillars of observability: logs, metrics, and traces, and provides practical use cases for each phase of the pipeline.

Key facts

▪Observability is crucial for understanding system performance in Java microservices.
▪The observability architecture follows a four-phase pipeline: instrumentation, agents & collectors, storage backends, and visualization.
▪The three pillars of observability are logs, metrics, and traces, each serving a distinct purpose in monitoring and diagnosing system behavior.

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Original publisher	DEV.to (Top)
Canonical URL	https://dev.to/mohamadawwaad/decoding-the-observability-pipeline-a-java-architects-guide-to-metrics-logs-and-traces-4e
Publication time	Thu, 28 May 2026 23:22:18 +0000
Retrieval time	2026-05-28T23:29:38.979Z
Last seen	2026-05-28T23:29:38.979Z
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Opening excerpt (first ~120 words) tap to expand

try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 520580) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Mohammad Awwaad Posted on May 28 Decoding the Observability Pipeline: A Java Architect's Guide to Metrics, Logs, and Traces #java #observability #architecture If you’ve spent any time modernizing a Java-based microservices architecture recently, you’ve likely hit the "Observability Wall." The ecosystem is drowning in tools. We hear about Prometheus, Loki, OpenSearch, Zipkin, Tempo, OpenTelemetry, Grafana Alloy, Datadog—the list never ends.

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