Prometheus ve Grafana'yı Derinlemesine Anlamak — TSDB, PromQL ve Custom Exporter
The article discusses the importance of Time Series Databases (TSDB) for monitoring systems, highlighting how they efficiently store and retrieve time-based data. It explains the advantages of using Prometheus for metric collection through a pull-based architecture, which provides better reliability compared to push-based systems. Additionally, the article outlines the setup of a Docker environment for Prometheus and Grafana, including the use of custom exporters for specific metrics.
- ▪Time Series Databases store each measurement as a separate point, allowing for efficient retrieval of historical data.
- ▪Prometheus uses a pull-based architecture to collect metrics, which helps identify application failures more reliably.
- ▪The article provides a detailed setup guide for using Prometheus and Grafana in a Docker environment.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 952125) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Taha Yağız Güler Posted on May 27 Prometheus ve Grafana'yı Derinlemesine Anlamak — TSDB, PromQL ve Custom Exporter #monitoring #prometheus #grafana #devops Neden TSDB? Normal bir veritabanında bir satır güncellenir — eski değer gider, yeni değer gelir. Monitoring'de bu işe yaramaz. "CPU şu an %45" bilgisi değil, "CPU son 1 saatte nasıl değişti" bilgisi lazım. TSDB — Time Series Database.
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