The ELK Stack provides an in-depth understanding of the ELK Stack—Elasticsearch, Logstash, and Kibana—focusing on how to leverage these tools for centralized logging, data analysis, and real-time monitoring. Starting with an introduction to the components of the ELK Stack, participants will learn about the benefits of using this powerful solution compared to other logging and analytics tools. The course covers the installation and configuration of Elasticsearch, Logstash, and Kibana on various operating systems and ensures participants can verify their setups.

In-depth sections on Elasticsearch introduce concepts such as index management, document mapping, and data querying. Logstash lessons focus on building pipelines, parsing log data, and forwarding it to Elasticsearch for analysis. Kibana training includes creating dashboards and using visualizations to explore and analyze the ingested data.

Advanced topics delve into Elasticsearch aggregations, security, clusters, Logstash optimization, and Kibana alerting. The course explores real-world use cases such as centralized log management, security monitoring, and web analytics. Practical examples and case studies are provided to give participants hands-on experience, from implementing logging solutions to building custom visualizations for data-driven insights.

What You’ll Learn

• Introduction to ELK Stack: Understand the components (Elasticsearch, Logstash, Kibana) and their benefits.
• Installation: Learn to install and configure Elasticsearch, Logstash, and Kibana across various operating systems.
• Elasticsearch Basics: Master index creation, document mapping, and querying data in Elasticsearch.
• Logstash Basics: Create and configure Logstash pipelines, parse log data, and send it to Elasticsearch.
• Kibana Basics: Build dashboards, visualize data, and explore log data using Kibana.
• Advanced Elasticsearch: Explore aggregations, scripting, security features, and managing Elasticsearch clusters.
• Advanced Logstash: Learn about filters, codecs, performance optimization, and plugin configuration.
• Advanced Kibana: Create advanced visualizations, set up alerting, and integrate Kibana with other tools.
• Use Cases: Apply ELK Stack for centralized log management, security monitoring, and web analytics.
• Practical Examples: Implement real-world scenarios like centralized logging, security event monitoring, and data analysis with custom visualizations.