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Duration 21 hours
Course Outline
Foundations of OpenSearch and Its Ecosystem
- Origins and evolution from Elasticsearch and Kibana
- Apache 2.0 licensing model
- Insight into the OpenSearch project’s structure and governance
Key Components and Architectural Design
- Understanding OpenSearch nodes, clusters, and indices
- Visualization features in OpenSearch Dashboards
- Integration points for plugins and extensions
Setup and Configuration Processes
- Installing OpenSearch on Linux and Windows platforms
- Designing cluster configuration and topology
- Managing node roles, settings, and configuration files
Data Indexing and Search Mechanisms
- Strategies for index lifecycle management and mapping
- Query DSL, aggregations, and relevance optimization
- Enhancing performance for indexing and query execution
Monitoring and Observability Practices
- Tracking performance metrics and cluster health
- Utilizing the OpenSearch Performance Analyzer
- Leveraging OpenSearch Dashboards for monitoring tasks
Security Protocols and Access Management
- Implementing role-based access control and user authentication
- Ensuring data encryption and secure communication
- Managing audit logs and compliance features
Advanced Administration and Scalability
- Developing backup and restore strategies
- Achieving horizontal scaling and high availability
- Best practices for troubleshooting and maintenance
Wrap-up and Future Directions
Requirements
- A solid grasp of database management principles
- Practical experience in system administration for 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
