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Duration 21 hours
Course Outline
Overview of OpenSearch and its Ecosystem
- Historical context and origins from Elasticsearch and Kibana
- Licensing model based on Apache 2.0
- Structure and governance of the OpenSearch project
Key Components and System Architecture
- OpenSearch nodes, clusters, and index management
- Visualization features and OpenSearch Dashboards
- Plugins, extensions, and integration mechanisms
Setup and Configuration
- Installing OpenSearch on Linux and Windows platforms
- Designing cluster topology and configuration
- Defining node roles, settings, and configuration files
Data Indexing and Search Operations
- Index lifecycle management and mapping techniques
- Query Domain-Specific Language (DSL), aggregations, and relevance adjustments
- Optimizing performance for indexing and query execution
Monitoring and Observability
- Tracking performance metrics and cluster health
- Utilizing the OpenSearch Performance Analyzer
- Leveraging OpenSearch Dashboards for continuous monitoring
Security and Access Management
- Implementing role-based access control and user authentication
- Data encryption and securing communication channels
- Audit logging and compliance capabilities
Advanced Administration and Scalability
- Developing backup and restoration strategies
- Achieving horizontal scaling and high availability
- Troubleshooting techniques and maintenance best practices
Conclusions and Future Directions
Requirements
- A solid grasp of database management principles
- Practical experience in Linux or Windows system administration
- 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
