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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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/tahayagizguler/prometheus-ve-grafanayi-derinlemesine-anlamak-tsdb-promql-ve-custom-exporter-1enp |
| Publication time | Wed, 27 May 2026 16:02:57 +0000 |
| Retrieval time | 2026-05-27T16:08:01.779Z |
| Last seen | 2026-05-27T16:08:01.779Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | nT-H8uAYfhLR |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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 === 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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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).