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Course Outline

Introduction

  • ELK Stack Overview

Elasticsearch

Overview:

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

Operation: 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 management
  • Shard Allocation

Backup: Snapshot and Restore

  • High Availability versus Backup strategies
  • Repository, Snapshot, and Restore processes
  • Underlying mechanics

Production Monitoring

  • Best practices for alerting
  • JVM management
  • Query performance optimization
  • Thread Pools
  • Troubleshooting

Production Operational Best Practices

  • Memory management
  • Networking considerations
  • Disk management
  • Security measures
  • Cluster restarts (Rolling and Full)

Logstash

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

Kibana

  • Core 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 common issues
  • Filebeat architecture
  • Installation and configuration
  • Backup and restore
  • Cluster and availability nuances
  • 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
 14 Hours

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