ELK Stack

Module 1: Introduction to ELK Stack

• Overview and architecture of ELK
• Components: Elasticsearch, Logstash, Kibana
• Use cases and industry applications

Module 2: Elasticsearch Fundamentals

• Installation and configuration
• Indexing and mapping concepts
• Searching with Query DSL
• Data aggregation and analytics

Module 3: Logstash Configuration and Data Processing

• Installing and configuring Logstash
• Input, filter, and output plugins
• Parsing and transforming various data formats

Module 4: Kibana Data Visualization

• Connecting Kibana to Elasticsearch
• Creating dashboards and visualizations
• Using Kibana Discover and Lens

Module 5: Advanced Elasticsearch Features Cluster management and scaling Performance optimization Securing Elasticsearch environment

Module 6: Monitoring and Alerting

• Configuring alerts in Kibana
• Using Elastic Stack monitoring tools
• Anomaly detection basics

Module 7: Integrations and Use Cases

• Integration with Beats and third-party tools
• Log management for IT operations
• Security information and event management (SIEM) use cases

Module 8: Hands-On Labs and Projects

• Real-world log ingestion and analysis
• Building custom dashboards and alerts

Experience in the Industry Gain knowledge from experts with practical ELK Stack project experience in a variety of sectors.

Backgrounds at the Top Prominent corporations such as HCL, TCS, Accenture, and Cognizant employ trainers.

Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.

Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.

Up-to-Date Knowledge Trainers stay current with the latest tools, techniques, and best practices.