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Course Outline

Introduction

  • Overview of the Elastic Stack (ELK)

Elasticsearch

Overview:

  • Understanding the purpose and benefits
  • Key Terminology: Documents, Index, Shards, Node, Cluster, Scaling Up/Out

Operation: Configuration & Deployment

  • Configuring Elasticsearch
  • Deploying Elasticsearch
  • Lab Session

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
  • Underlying Mechanisms

Production Monitoring

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

Production Operational Best Practices

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

Logstash

  • Understanding the purpose and benefits
  • Configuration
  • Inputs, Filters, and Outputs
  • Installation and configuration
  • Backup and restore
  • Cluster and availability considerations
  • Best practices

Kibana

  • Understanding the purpose and benefits
  • Configuration Settings
  • Time Picker, Search, and Filters
  • Kibana Discover, Visualization, and Dashboard Interfaces
  • Installation and configuration
  • Backup and restore
  • Cluster and availability considerations
  • Best practices

Filebeat

  • Logs and troubleshooting
  • 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

Testimonials (2)

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