Analyzing Web Logs with Elasticsearch and Kibana

Every web server generates vast amounts of log data containing critical clues about user behavior, performance bottlenecks, and security threats. Understanding how to navigate and extract value from these logs is an essential skill for modern system administrators, data analysts, and security professionals. This text-based course guides you from the absolute basics of log analysis to building functional monitoring dashboards. You will learn how to structure unstructured log files, load them into Elasticsearch, and use Kibana to query, analyze, and visualize traffic patterns. What you will learn: Understand foundational log analysis concepts, web server status codes, and the architecture of the Elastic Stack; Configure and load raw web log data into Elasticsearch using modern ingestion practices; Create and manage Kibana Data Views to organize your log streams; Construct search queries using Kibana Query Language to filter traffic and isolate anomalies; Build interactive visualizations, including traffic volume charts and response code breakdowns; Design comprehensive dashboards that consolidate key performance metrics into a single view. The course starts with basic definitions and core terminology before moving step-by-step through data preparation, querying, and dashboard design. You will work through written examples and scenario-based exercises designed to simulate real-world log monitoring tasks. This course is designed for beginners who want to learn log analysis from scratch, and no prior experience with Elasticsearch or Kibana is required. Start reading today to unlock the hidden insights within your web server logs.