ADLER-TECH

Elastic Stack Administration: Deployment, Operations, and Optimization

Duration: 14 Hours (2 Intensive Days) Focus: Production-Ready Configuration, Monitoring, and High Availability

Day 1: Elasticsearch Core and Production Operations ⚙️ (7 Hours)

Module 1: Elasticsearch Overview and Architecture

  • Foundational Concepts (What and Why Elasticsearch is used, common use cases).
  • Terminology Primer (Understanding core terms: Documents, Index, Shards, and Node, Cluster).
  • Scaling Principles (Concepts of Scale Up/Out).

Module 2: Configuration and Cluster Deployment

  • Operating the System (Configuring & Deploying the single-node Elasticsearch instance).
  • Hands-on Deployment (Lab: Initial setup and verification).

Module 3: Node Roles and Cluster State

  • Distributed Model (Understanding the Distributed Model and Discovery mechanism).
  • Node Types (Differentiating Master, Data, Client, and Tribe Nodes).
  • Master Election (Master Election process and importance of Minimum Master Nodes (minimum_master_nodes)).
  • State Management (Reviewing the Cluster State and Shard Allocation process).

Module 4: Backup, High Availability, and Recovery

  • HA vs. Backup (Distinguishing between High Availability vs. Backup strategies).
  • Snapshot and Restore (Configuring a Repository, taking a Snapshot, and performing a Restore).

Module 5: Production Monitoring and Diagnostics

  • Alerting (Alerting Best Practices for resource utilization and latency).
  • JVM Health (Monitoring JVM usage and garbage collection).
  • Performance Metrics (Query Performance analysis and understanding Thread Pools).
  • Troubleshooting (Diagnosing Problems using cluster health and logging).

Day 2: Operational Best Practices and the “L-K-F” Stack 📊 (7 Hours)

Module 6: Operational Best Practices

  • Resource Tuning (Best practices for Memory, Networking, and Disk configuration).
  • Security Fundamentals (Introduction to basic cluster Security measures).
  • Cluster Restarts (Performing Cluster Restart procedures: Rolling and Full restarts).

Module 7: Logstash: Data Pipeline Management

  • Logstash Overview (What and Why Logstash is necessary).
  • Configuration Structure (Understanding the Configuration file format).
  • Pipeline Components (Defining Inputs, Filters, and Outputs).
  • Installation and Management (Installation and configuration).
  • Operational Nuances (Backup and restore, Cluster and availability nuances, and Best practices).

Module 8: Kibana: Visualization and Interface

  • Kibana Overview (What and Why Kibana is the primary interface).
  • Core Settings (Configuration Settings and optimization).
  • Interface Navigation (Using the Time Picker, Search, and Filters).
  • Visualization Tools (Mastering Kibana Discover, Visualization, and Dashboard Interfaces).
  • Operational Nuances (Installation and configuration, Backup and restore, Cluster and availability nuances, and Best practices).

Module 9: Filebeat: Lightweight Data Shippers

  • Filebeat Role (Solving Logs and problems at the source).
  • Architecture (Understanding the Filebeat architecture and connection to Logstash/Elasticsearch).
  • Management (Installation and configuration).
  • Operational Nuances (Backup and restore, Cluster and availability nuances, and Best practices).