Target Audience for ELK Master Class - Elasticsearch, Beats, Logstash and Kibana
The ELK Master Class at Koenig Solutions is designed for professionals seeking expertise in Elasticsearch, Beats, Logstash, and Kibana for data analysis and visualization.
- Data Engineers
- DevOps Engineers
- System Administrators
- IT Operations Staff
- Search and Analytics Engineers
- Security and Incident Response Analysts
- Software Developers
- Data Scientists
- Business Intelligence (BI) Professionals
- Technical Architects
- Cloud Infrastructure Engineers
- Monitoring and Observability Personnel
Learning Objectives - What you will Learn in this ELK Master Class - Elasticsearch, Beats, Logstash and Kibana?
Introduction to the ELK Master Class Learning Outcomes:
In the ELK Master Class, participants will learn to deploy and manage the Elastic Stack, effectively utilizing Elasticsearch, Beats, Logstash, and Kibana for real-time data processing and visualization.
Learning Objectives and Outcomes:
- Understand the core components and architecture of the Elastic Stack, and the role each element plays in data analysis.
- Install and configure the Elastic Stack components, ensuring a fully operational environment for data ingestion and visualization.
- Gain proficiency in Elasticsearch fundamentals, including cluster management, REST APIs, and the Query DSL for advanced data retrieval.
- Learn to create and manage documents, indices, and searches in Elasticsearch to extract actionable insights from data.
- Master Kibana for data exploration, visualization, and dashboard creation, enhancing the ability to interpret and present data effectively.
- Develop Logstash pipelines for efficient data processing and transformation, leveraging input, filter, and output plugins.
- Implement Beats for data shipment, focusing on Filebeat, to streamline log data transfer from various sources to the Elastic Stack.
- Acquire skills to monitor, troubleshoot, and optimize the performance of Elasticsearch clusters, ensuring reliability and scalability.
- Explore various use cases of the Elastic Stack, recognizing its advantages and potential limitations in different scenarios.
- Apply alerting and monitoring techniques within Kibana to maintain oversight of data and system health.
