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Duration 21 hours
Course Outline
Foundations of OpenSearch and Its Ecosystem
- Origins and evolution from Elasticsearch and Kibana
- Licensing model under Apache 2.0
- Overview of the OpenSearch project structure and governance model
Core Components and Architectural Design
- Understanding nodes, clusters, and indices in OpenSearch
- Visualization features of OpenSearch Dashboards
- Use of plugins, extensions, and integration points
Installation and Setup Procedures
- Installing OpenSearch on Linux and Windows operating systems
- Designing cluster configuration and topology
- Managing node roles, settings, and configuration files
Data Indexing and Search Mechanisms
- Index lifecycle management and mapping strategies
- Working with Query DSL, aggregations, and relevance tuning
- Optimizing performance for indexing and query execution
Monitoring and Observability Practices
- Tracking performance metrics and cluster health status
- Utilizing the OpenSearch Performance Analyzer
- Leveraging OpenSearch Dashboards for continuous monitoring
Security Protocols and Access Management
- Implementing role-based access control and user authentication
- Data encryption and secure communication standards
- Audit logging and compliance features
Advanced Administration and Scalability
- Developing backup and restore strategies
- Achieving horizontal scaling and high availability
- Best practices for troubleshooting and routine maintenance
Conclusion and Future Directions
Requirements
- Familiarity with database management principles
- Practical experience in system administration using Linux or Windows
- Foundational knowledge 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
Testimonials (1)
the trainer was very good and made the training perfect for my needs
