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 Duration 21 hours

Course Outline

Introduction to OpenSearch and Its Ecosystem

  • Historical background and origins from Elasticsearch and Kibana
  • Licensing framework under Apache 2.0
  • Overview of the OpenSearch project structure and governance model

Core Components and Architecture

  • Understanding OpenSearch nodes, clusters, and indices
  • OpenSearch Dashboards and visualization features
  • Plugins, extensions, and key integration points

Installation and Configuration

  • Installing OpenSearch on Linux and Windows systems
  • Cluster configuration strategies and topology design
  • Defining node roles, settings, and managing configuration files

Data Indexing and Search

  • Index lifecycle management and mapping techniques
  • Utilizing Query DSL, aggregations, and tuning relevance
  • Optimizing performance for data indexing and query execution

Monitoring and Observability

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

Security and Access Control

  • Implementing role-based access control and user authentication
  • Ensuring data encryption and secure communication protocols
  • Managing audit logging and compliance features

Advanced Administration and Scaling

  • Developing robust backup and restore strategies
  • Achieving horizontal scaling and high availability
  • Best practices for troubleshooting and system maintenance

Summary and Next Steps

Requirements

  • A solid understanding of database management concepts
  • Practical experience with Linux or Windows system administration
  • Basic 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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