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Duration 21 hours
Course Outline
Introduction to OpenSearch and Its Ecosystem
- Origins and evolution from Elasticsearch and Kibana
- Apache 2.0 licensing model
- Overview of the OpenSearch project structure and governance
Core Components and Architecture
- OpenSearch nodes, clusters, and indices
- OpenSearch Dashboards and visualization features
- Plugins, extensions, and integration capabilities
Installation and Configuration
- Installing OpenSearch on Linux and Windows platforms
- Cluster configuration and topology design principles
- Node roles, settings, and configuration file management
Data Indexing and Search
- Index lifecycle management and mapping strategies
- Query DSL, aggregations, and relevance tuning techniques
- Optimizing performance for indexing and query execution
Monitoring and Observability
- Performance metrics and cluster health monitoring
- Utilizing the OpenSearch Performance Analyzer
- Leveraging OpenSearch Dashboards for ongoing monitoring
Security and Access Control
- Role-based access control and user authentication methods
- Data encryption and secure communication protocols
- Audit logging and compliance functionalities
Advanced Administration and Scaling
- Backup and recovery strategies
- Horizontal scaling and high availability setups
- Troubleshooting techniques and maintenance best practices
Summary and Next Steps
Requirements
- A solid grasp of database management concepts
- Practical experience with 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
