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Duration 21 hours (3 days)
Course Outline
Introduction to OpenSearch and Its Ecosystem
- Origins and evolution from Elasticsearch and Kibana
- Apache 2.0 licensing framework
- Structure and governance of the OpenSearch project
Core Components and Architecture
- OpenSearch nodes, clusters, and indices
- Features of OpenSearch Dashboards and visualization
- Plugins, extensions, and integration touchpoints
Installation and Configuration
- Installing OpenSearch on Linux and Windows platforms
- Designing cluster configuration and topology
- Defining node roles, settings, and configuration files
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
- Tracking performance metrics and cluster health
- Leveraging the OpenSearch Performance Analyzer
- Utilizing OpenSearch Dashboards for monitoring purposes
Security and Access Control
- Role-based access control and user authentication
- Data encryption and secure communication protocols
- Audit logging and compliance mechanisms
Advanced Administration and Scaling
- Backup and restoration strategies
- Horizontal scaling and high availability setups
- Best practices for troubleshooting and maintenance
Conclusion and Future Pathways
Requirements
- Foundational knowledge of database management principles
- Practical experience with Linux or Windows system administration
- Basic proficiency with 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
