ELK Master Class - Elasticsearch, Beats, Logstash and Kibana Course Overview
The ELK Master Class offers an in-depth exploration of Elasticsearch, Beats, Logstash, and Kibana, essential tools for data analysis and visualization. This course is crucial for data analysts, system administrators, and IT professionals looking to enhance their skills in managing and interpreting large datasets, ultimately enabling better decision-making and operational efficiency in their organizations.
Course outline & what you'll learn
Overview of Elasticsearch, Logstash, Beats, and Kibana
- Use cases and applications of the ELK Stack
- Indexing and searching data
- Understanding data types and mappings
- Query DSL and search capabilities
- Performance tuning and scaling Elasticsearch
- Logstash architecture and components
- Input, filter, and output plugins
- Data transformation and processing
- Best practices for configuring Logstash
- Introduction to Beats and its types
- Setting up Filebeat, Metricbeat, and Packetbeat
- Shipping logs and metrics to Elasticsearch
- Monitoring and managing Beats agents
- Navigating the Kibana interface
- Creating visualizations and dashboards
- Utilizing Kibana for data exploration
- Advanced Kibana features and reporting
- Securing Elasticsearch clusters
- Managing user roles and permissions
- Implementing SSL and encryption
- Monitoring ELK Stack performance
- Troubleshooting common issues
- Backups and data retention strategies
- Implementing a complete ELK Stack solution
- Hands-on projects to reinforce learning
- Case studies of ELK Stack in various industries
- Best practices for using the ELK Stack
- Resources for continued learning and community involvement
Why train with Traincrest
This Open Source course is delivered by Traincrest's certified instructors, live online or in the classroom, with hands-on labs and a 98% exam success rate. Trusted by 500+ companies and 50,000+ students worldwide.