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Course Outline

Introduction

  • Overview of the Elastic Stack (ELK)

Elasticsearch

Overview:

  • Core concepts and rationale
  • Key Terminology: Documents, Index, Shards, Node, Cluster, Scaling Up/Out

Operation: Configuration & Deployment

  • Configuring Elasticsearch
  • Deploying Elasticsearch
  • Lab Exercise

Node: 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 versus Backup
  • Repository, Snapshot, and Restore processes
  • Underlying Internals

Production Monitoring

  • Best Practices for Alerting
  • JVM Management
  • Query Performance Optimization
  • Thread Pools
  • Troubleshooting and Diagnosis

Production Operational Best Practices

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

Logstash

  • Core concepts and rationale
  • Configuration
  • Inputs, Filters, and Outputs
  • Installation and configuration
  • Backup and restore
  • Cluster and availability considerations
  • Best practices

Kibana

  • Core concepts and rationale
  • Configuration Settings
  • Time Picker, Search, and Filters
  • Kibana Interfaces: Discover, Visualization, and Dashboard
  • 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
  • Proficiency with the Linux command line
  • Previous experience with Elasticsearch is not required

Target Audience

  • System administrators
 14 Hours

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