Elasticsearch: Collecting Logs with Filebeat | ELK Stack Tutorial

Welcome to StackTrekker! In this tutorial, I’ll guide you through collecting logs using Filebeat and sending them to Elasticsearch for indexing and visualization. Whether you're monitoring system logs or application logs, this hands-on guide will show you how to integrate Filebeat into your ELK Stack setup. 🔹 What You’ll Learn: ✅ What Filebeat is and how it works ✅ How to configure Filebeat to collect your app logs ✅ How to ship logs to Elasticsearch ✅ How to verify log ingestion in Kibana 📌 Previous Tutorials: Part #1:    • Elasticsearch: Install on Docker | Quick a...   Part #2:    • Elasticsearch: Mappings & Bulk Data Upload...   Part #3:    • Kibana: DataView and Dashboards | ELK Stac...   🔹 Config Files and Scripts Used in This Video: https://github.com/stacktrekker/docke... https://github.com/stacktrekker/docke... 🎯 Why Use Filebeat for Log Collection? 🔹 Lightweight and efficient log shipper 🔹 Works out-of-the-box with Elasticsearch 🔹 Great for centralized logging from multiple sources 🔹 Easy to scale with Docker and cloud-native environments #Elasticsearch #Filebeat #LogCollection #StackTrekker #DevOps #ElasticsearchTutorial #Logging #LogManagement #Kibana #Logstash #ElasticStack #BigData #SystemMonitoring #SoftwareDevelopment #Observability #Docker #NoSQL #Логирование #Поиск #АналитикаДанных #РазработкаПО #DevOpsRU #LogManagementDE #Datenanalyse #LogMonitoring #ElasticsearchDE #SoftwareEntwicklung #DevOpsDE #SystemLogs #BigDataDE 🔔 Subscribe & Turn on Notifications to stay updated with my latest programming tutorials! 👍 Like, comment, and share if you found this helpful!