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Course Outline
Introduction
- Elastic Stack Overview (ELK)
Elasticsearch
Overview:
- Concepts and Rationale
- Terminology: Documents, Index, Shards, Node, Cluster, Scale Up/Out
Operation: Configuration & 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
- Alerting Best Practices
- JVM
- Query Performance
- Thread Pools
- Diagnosing Problems
Production Operational Best Practices
- Memory
- Networking
- Disk
- Security
- Cluster Restart (Rolling and Full)
Logstash
- Concepts and Rationale
- Configuration
- Inputs, Filters, and Outputs
- Installation and configuration
- Backup and restore
- Cluster and availability nuances
- Best practices
Kibana
- Concepts and Rationale
- Configuration Settings
- Time Picker, Search, and Filters
- Kibana Discover, Visualization, and Dashboard Interfaces
- Installation and configuration
- Backup and restore
- Cluster and availability nuances
- Best practices
Filebeat
- Logs and issues
- Filebeat architecture
- Installation and configuration
- Backup and restore
- Cluster and availability nuances
- Best practices
Summary and Conclusion
Requirements
- Experience in system administration
- Familiarity with the Linux command line
- No prior experience with Elasticsearch is necessary
Target 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.