Membangun Observability GBIM: Metrics Bisnis, Correlation ID, dan k6 Smoke Test
The article discusses the implementation of observability in GBIM through custom metrics, correlation IDs, and k6 smoke tests. It highlights the improvements made to monitoring by focusing on specific business outcomes and enhancing traceability of requests. The article also outlines the technical solutions developed to address previous limitations in observability.
- ▪The monitoring iteration for GBIM focuses on custom Prometheus metrics, end-to-end correlation IDs, and k6 smoke tests.
- ▪Prior to these changes, the observability evidence was weak, with generic HTTP telemetry and insufficient tracking of business outcomes.
- ▪The backend now exposes custom metrics and implements correlation IDs to improve error traceability and monitoring of user activities.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3924344) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Vincent Davis Posted on May 20 Membangun Observability GBIM: Metrics Bisnis, Correlation ID, dan k6 Smoke Test #devops #monitoring #sre #testing Judul Membangun Observability GBIM: Metrics Bisnis, Correlation ID, dan k6 Smoke Test Ringkasan Iterasi monitoring GBIM akhirnya difokuskan pada tiga hal yang benar-benar bisa dibuktikan dari implementasi saat ini: custom metrics Prometheus, correlation ID end-to-end, dan k6 smoke test yang mengirim telemetry ke Prometheus/Grafana.
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