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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 structure and governance model.

Core Components and Architecture

  • Understanding OpenSearch nodes, clusters, and indices.
  • OpenSearch Dashboards and their visualization capabilities.
  • Plugins, extensions, and integration points.

Installation and Configuration

  • Installing OpenSearch on Linux and Windows systems.
  • Designing cluster configuration and topology.
  • Configuring node roles, settings, and configuration files.

Data Indexing and Search

  • Index lifecycle management and mapping strategies.
  • Utilizing Query DSL, aggregations, and relevance tuning.
  • Optimizing performance for indexing and query operations.

Monitoring and Observability

  • Tracking performance metrics and conducting cluster health checks.
  • Leveraging OpenSearch Performance Analyzer.
  • Using OpenSearch Dashboards for monitoring purposes.

Security and Access Control

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

Advanced Administration and Scaling

  • Developing backup and restore strategies.
  • Achieving horizontal scaling and high availability.
  • Adopting troubleshooting techniques and maintenance best practices.

Summary and Next Steps

Requirements

  • Foundational knowledge of database management concepts.
  • Prior experience in Linux or Windows system administration.
  • Basic understanding of 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.
 21 Hours

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