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Course Outline
Introduction to OpenSearch and Its Ecosystem
- History and origin from Elasticsearch and Kibana
- Licensing under Apache 2.0
- Overview of the OpenSearch project structure and governance
Core Components and Architecture
- OpenSearch nodes, clusters, and indices
- OpenSearch Dashboards and visualization capabilities
- Plugins, extensions, and integration points
Installation and Configuration
- Installing OpenSearch on Linux and Windows
- Cluster configuration and topology design
- Node roles, settings, and configuration files
Data Indexing and Search
- Index lifecycle management and mapping strategies
- Query DSL, aggregations, and relevance tuning
- Performance optimization for indexing and queries
Monitoring and Observability
- Performance metrics and cluster health checks
- OpenSearch Performance Analyzer
- Using OpenSearch Dashboards for monitoring
Security and Access Control
- Role-based access control and user authentication
- Data encryption and secure communication
- Audit logging and compliance features
Advanced Administration and Scaling
- Backup and restore strategies
- Horizontal scaling and high availability
- Troubleshooting and maintenance best practices
Summary and Next Steps
Requirements
- An understanding of database management concepts
- Experience with Linux or Windows system administration
- Basic familiarity with REST APIs and JSON data formats
Audience
- DevOps engineers and system administrators
- Data engineers and software developers
- Technical architects managing enterprise search or analytics infrastructure
21 Hours
Testimonials (1)
Got to know new features in OS which I wasn't aware before.
