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Building a Production-Grade Observability Platform with LGTM Stack, DORA Metrics & SLOs

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#devops#observability#prometheus#grafana#docker
Building a Production-Grade Observability Platform with LGTM Stack, DORA Metrics & SLOs
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The article outlines the development of a production-grade observability platform using the open-source LGTM stack—Loki, Grafana, Tempo, and Prometheus—combined with DORA metrics and SLOs. The solution is deployed via a single Docker Compose command and emphasizes cost efficiency, data sovereignty, and infrastructure as code. It enables comprehensive monitoring, alerting, and performance analysis without reliance on proprietary tools.

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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3898965) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Abraham Acha Posted on May 16 Building a Production-Grade Observability Platform with LGTM Stack, DORA Metrics & SLOs #devops #observability #prometheus #grafana GitHub Repository: https://github.com/AirFluke/meetmind-observability One command to deploy: docker compose up -d Introduction Modern software teams don't just need to know when something is down — they need to understand why it broke, how long users were affected, how fast they recovered, and whether their engineering…

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