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Course Outline

Introduction to OpenSearch and Its Ecosystem

  • Historical background stemming from Elasticsearch and Kibana.
  • Apache 2.0 licensing framework.
  • Overview of the OpenSearch project's structure and governance model.

Core Components and Architecture

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

Installation and Configuration

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

Data Indexing and Search

  • Strategies for index lifecycle management and mapping.
  • Utilizing Query DSL, aggregations, and relevance tuning.
  • Optimizing performance for indexing operations and queries.

Monitoring and Observability

  • Analyzing performance metrics and cluster health status.
  • Leveraging the OpenSearch Performance Analyzer.
  • Using OpenSearch Dashboards for comprehensive monitoring.

Security and Access Control

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

Advanced Administration and Scaling

  • Developing backup and restore strategies.
  • Implementing horizontal scaling and high availability.
  • Adhering to troubleshooting and maintenance best practices.

Summary and Next Steps

Requirements

  • Foundational knowledge of database management principles.
  • Experience in system administration for Linux or Windows.
  • Basic understanding of REST APIs and JSON data structures.

Target Audience

  • DevOps engineers and system administrators.
  • Data engineers and software developers.
  • Technical architects responsible for enterprise search or analytics infrastructure.
 21 Hours

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