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Course Outline

Introduction

  • Overview of the Elastic Stack (ELK)

Elasticsearch

Overview:

  • What it is and why it matters
  • Key Terminology: Documents, Index, Shards, Node, Cluster, Scaling Up/Out

Operations: Configuration & Deployment

  • Configuring Elasticsearch
  • Deploying Elasticsearch
  • Lab Session

Node Management: Discovery, Types, and Cluster State

  • Distributed Model and Discovery Mechanisms
  • 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
  • Internal Mechanics

Production Monitoring

  • Alerting Best Practices
  • JVM Performance
  • Query Performance
  • Thread Pools
  • Diagnosing Issues

Production Operational Best Practices

  • Memory Management
  • Networking
  • Disk Configuration
  • Security
  • Cluster Restart Strategies (Rolling and Full)

Logstash

  • What it is and why it matters
  • Configuration
  • Inputs, Filters, and Outputs
  • Installation and Configuration
  • Backup and Restore
  • Cluster and Availability Considerations
  • Best Practices

Kibana

  • What it is and why it matters
  • Configuration Settings
  • Time Picker, Search, and Filters
  • Kibana Interfaces: Discover, Visualization, and Dashboards
  • 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 necessary

Target Audience

  • System administrators
 14 Hours

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