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 Duration 21 hours (3 days)

Course Outline

Introduction to OpenSearch and Its Ecosystem

  • Historical context and origins from Elasticsearch and Kibana
  • Licensing details under Apache 2.0
  • Overview of the OpenSearch project’s structure and governance model

Core Components and Architecture

  • Understanding OpenSearch nodes, clusters, and indices
  • Features of OpenSearch Dashboards and visualization tools
  • Managing plugins, extensions, and integration points

Installation and Configuration

  • Steps for installing OpenSearch on Linux and Windows platforms
  • Designing cluster configuration and topology
  • Defining node roles, settings, and configuration files

Data Indexing and Search

  • Strategies for index lifecycle management and mapping
  • Working with Query DSL, aggregations, and relevance tuning
  • Optimizing performance for indexing and query execution

Monitoring and Observability

  • Tracking performance metrics and cluster health
  • Utilizing the OpenSearch Performance Analyzer
  • Leveraging OpenSearch Dashboards for continuous monitoring

Security and Access Control

  • Implementing role-based access control and user authentication
  • Securing data encryption and communication channels
  • Auditing logs and ensuring compliance features

Advanced Administration and Scaling

  • Developing backup and restore strategies
  • Achieving horizontal scaling and high availability
  • Applying best practices for troubleshooting and maintenance

Summary and Next Steps

Requirements

  • A solid grasp of database management principles
  • Practical experience in administering Linux or Windows systems
  • Familiarity with REST APIs and JSON data structures

Target Audience

  • DevOps engineers and system administrators
  • Data engineers and software developers
  • Technical architects overseeing enterprise search or analytics infrastructure

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