ELK (Elasticsearch Logstash Kibana)

Elasticsearch, Logstash, and Kibana are three open-source tools often used together as part of the ELK Stack (Elasticsearch, Logstash, Kibana) or the Elastic Stack. They are designed to work together for collecting, processing, storing, and visualizing large volumes of data, particularly logs and metrics. Here’s an overview of each component:

1. 1. Elasticsearch: Elasticsearch is a powerful and scalable search and analytics engine. It’s designed to store, index, and search large volumes of data quickly and efficiently. Elasticsearch is commonly used for full-text search, log and event data analysis, and other types of data exploration. It enables you to perform complex queries and aggregations on data stored within it.

1. 1. Logstash: Logstash is a data processing pipeline that allows you to collect, transform, and enrich data from various sources before sending it to Elasticsearch for storage and analysis. It supports a wide range of input sources (logs, databases, message queues, etc.) and offers various filters and transformations to preprocess the data before indexing.

1. 1. Kibana: Kibana is a web-based data visualization and exploration tool that works in conjunction with Elasticsearch. It allows you to create interactive dashboards, charts, graphs, and visualizations based on the data stored in Elasticsearch. Kibana provides a user-friendly interface for exploring and analyzing data, making it easier to derive insights and monitor various metrics.

ELK Zero to Hero

Modernize SecOps with Elastic Security Protect, investigate, and respond to complex threats by unifying the capabilities of SIEM, endpoint security, and cloud security. This course has been designed in such a way that it will give you core concepts of SIEM. It takes you from basic to advanced level. ELK is one of most prominent products for SIEM. Learning ELK is building basic block of build which will let you excel in SecOps.

Course Topic

• Setting up ELK
• Searching Data
• Visualizing Data
• Analyzing Data
• Data Management
• Developing Search Applications
• Data Processing
• Cluster Management
• ELK Security

Prerequisite Knowledge

   Computer Knowledge and understanding of IT infrastructure like servers, network. Basic Linux.

Course Format

    Instructor-led lecture with labs. Delivered via virtual classroom.