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Duration 21 hours
Course Outline
Intro to OpenSearch and Its Ecosystem
- Background and evolution from Elasticsearch and Kibana
- Apache 2.0 licensing model
- Overview of OpenSearch project layout and governance
Key Components and Architecture
- OpenSearch nodes, clusters, and indices
- OpenSearch Dashboards and visualization tools
- Plugins, extensions, and integration capabilities
Setup and Configuration
- Installing OpenSearch on Linux and Windows
- Designing cluster configuration and topology
- Node roles, parameters, and config files
Data Indexing and Search
- Index lifecycle management and mapping approaches
- Query DSL, aggregations, and relevance adjustments
- Optimizing performance for indexing and searching
Monitoring and Observability
- Tracking performance metrics and cluster health
- Utilizing the OpenSearch Performance Analyzer
- Leveraging OpenSearch Dashboards for monitoring
Security and Access Management
- Role-based access control and user verification
- Data encryption and secure data transfer
- Audit logging and compliance tools
Advanced Administration and Scaling
- Backup and recovery strategies
- Horizontal scaling and ensuring high availability
- Best practices for troubleshooting and maintenance
Conclusion and Future Directions
Requirements
- Familiarity with database management principles
- Background in Linux or Windows system administration
- Basic 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
