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Course Outline
Introduction
- Overview of the Elastic Stack (ELK)
Elasticsearch
Overview:
- What and Why
- Terminology: Documents, Index, Shards, Node, Cluster, Scale Up/Out
Operation: Configuration and Deployment
- Configuring Elasticsearch
- Deploying Elasticsearch
- Lab
Nodes: Discovery, Types, and Cluster State
- Distributed Model and Discovery
- Master, Data, Client, and Tribe Nodes
- Master Election and Minimum Master Nodes
- Cluster State
- Shard Allocation
Backup: Snapshot and Restore
- High Availability vs. Backup
- Repository, Snapshot, and Restore
- Internals
Production Monitoring
- Best Practices for Alerting
- JVM
- Query Performance
- Thread Pools
- Diagnosing Issues
Production Operational Best Practices
- Memory
- Networking
- Disk
- Security
- Cluster Restart (Rolling and Full)
Logstash
- What and Why
- Configuration
- Inputs, Filters, and Outputs
- Installation and Configuration
- Backup and Restore
- Cluster and Availability Considerations
- Best Practices
Kibana
- What and Why
- Configuration Settings
- Time Picker, Search, and Filters
- Kibana Discover, Visualisation, and Dashboard Interfaces
- Installation and Configuration
- Backup and Restore
- Cluster and Availability Considerations
- Best Practices
Filebeat
- Logs and Common Issues
- Filebeat Architecture
- Installation and Configuration
- Backup and Restore
- Cluster and Availability Considerations
- Best Practices
Summary and Conclusion
Requirements
- Experience in system administration
- Familiarity with the Linux command line
- No prior experience with Elasticsearch is required
Audience
- System administrators
14 Hours
Testimonials (2)
Informing about practical examples
Martin Gobschiba - A1 Telekom Austria AG
Course - ELK: Elasticsearch, Logstash and Kibana for Administrators
I enjoyed the exercices gives a good insight.