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Duration 21 hours
Course Outline
Introduction to OpenSearch and Its Ecosystem
- Origins and history tracing back to Elasticsearch and Kibana
- Licensing model under Apache 2.0
- Overview of the OpenSearch project’s structure and governance
Core Components and Architecture
- OpenSearch nodes, clusters, and indices
- Visualization features in OpenSearch Dashboards
- Plugins, extensions, and integration points
Installation and Configuration
- Installing OpenSearch on Linux and Windows platforms
- Designing cluster configuration and topology
- Node roles, settings, and configuration file management
Data Indexing and Search
- Index lifecycle management and mapping strategies
- Query DSL, aggregations, and relevance tuning
- Optimizing performance for indexing and query execution
Monitoring and Observability
- Performance metrics and cluster health checks
- Using the OpenSearch Performance Analyzer
- Leveraging OpenSearch Dashboards for monitoring tasks
Security and Access Control
- Role-based access control and user authentication
- Data encryption and secure communication protocols
- Audit logging and compliance features
Advanced Administration and Scaling
- Backup and restore strategies
- Horizontal scaling and ensuring high availability
- Troubleshooting and maintenance best practices
Summary and Next Steps
Requirements
- Familiarity with database management concepts
- Experience in Linux or Windows system administration
- Basic knowledge of REST APIs and JSON data formats
Target Audience
- DevOps engineers and system administrators
- Data engineers and software developers
- Technical architects responsible for enterprise search or analytics infrastructure
Testimonials (1)
the trainer was very good and made the training perfect for my needs
