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Duration 21 hours
Course Outline
Foundations of OpenSearch and its Ecosystem
- Origins and development trajectory from Elasticsearch and Kibana
- License framework based on Apache 2.0
- Insights into the OpenSearch project’s structure and governance model
Essential Components and Architecture
- OpenSearch nodes, clusters, and index structures
- Visualization features within OpenSearch Dashboards
- Available plugins, extensions, and integration interfaces
Deployment and Configuration
- Installation procedures for Linux and Windows platforms
- Designing cluster configuration and topology
- Defining node roles, parameters, and configuration files
Data Indexing and Search Mechanics
- Strategies for index lifecycle management and mapping
- Application of Query DSL, aggregations, and relevance adjustment
- Optimizing indexing and query performance
Monitoring and Observability
- Tracking performance metrics and cluster health status
- Leveraging the OpenSearch Performance Analyzer
- Utilizing OpenSearch Dashboards for ongoing monitoring
Security and Access Management
- Implementing role-based access control and user authentication
- Ensuring data encryption and secure communication channels
- Managing audit logs and compliance features
Advanced Management and Scaling
- Strategies for backup and recovery
- Achieving horizontal scaling and high availability
- Best practices for troubleshooting and system maintenance
Conclusion and Future Directions
Requirements
- Familiarity with fundamental database management concepts
- Proficiency in system administration for Linux or Windows environments
- Basic knowledge 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
Testimonials (1)
the trainer was very good and made the training perfect for my needs
