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 Duration 14 hours

Course Outline

Introduction

  • Elastic Stack Overview (ELK)

Elasticsearch

Overview:

  • Purpose and Rationale
  • Key Terms: Documents, Index, Shards, Node, Cluster, Scale Up/Out

Operations: Configuration & Deployment

  • Configuring Elasticsearch
  • Deploying Elasticsearch
  • Practical Lab

Nodes: Discovery, Types, and Cluster State

  • Distributed Model and Discovery Mechanisms
  • Master, Data, Client, and Tribe Nodes
  • Master Election and Minimum Master Nodes
  • Cluster State Management
  • Shard Allocation

Backup: Snapshotting and Restoration

  • Distinguishing High Availability from Backup
  • Repositories, Snapshots, and Restore Procedures
  • Internal Mechanics

Production Monitoring

  • Best Practices for Alerting
  • JVM Configuration
  • Query Performance Optimization
  • Thread Pools
  • Problem Diagnosis

Production Operational Best Practices

  • Memory Management
  • Networking
  • Disk I/O
  • Security
  • Cluster Restart Strategies (Rolling and Full)

Logstash

  • Purpose and Rationale
  • Configuration Management
  • Inputs, Filters, and Outputs
  • Installation and Setup
  • Backup and Recovery
  • Cluster and Availability Considerations
  • Best Practices

Kibana

  • Purpose and Rationale
  • Configuration Settings
  • Time Picker, Search, and Filtering
  • Kibana Discover, Visualization, and Dashboard Interfaces
  • Installation and Setup
  • Backup and Recovery
  • Cluster and Availability Considerations
  • Best Practices

Filebeat

  • Log Management and Common Issues
  • Filebeat Architecture
  • Installation and Setup
  • Backup and Recovery
  • Cluster and Availability Considerations
  • Best Practices

Summary and Conclusion

Requirements

  • Experience in system administration
  • Proficiency with the Linux command line
  • No prior experience with Elasticsearch is necessary

Target Audience

  • System administrators

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