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Duration 21 hours
Course Outline
Introduction to OpenSearch and Its Ecosystem
- Origins and development history from Elasticsearch and Kibana
- Apache 2.0 licensing details
- Overview of the OpenSearch project’s structure and governance
Core Components and Architecture
- OpenSearch nodes, clusters, and index structures
- Visualization features of OpenSearch Dashboards
- Plugins, extensions, and integration points
Installation and Configuration
- Setting up OpenSearch on Linux and Windows systems
- Cluster configuration and topology planning
- Node roles, settings, and configuration file management
Data Indexing and Search
- Index lifecycle management and mapping techniques
- Query DSL, aggregations, and relevance tuning
- Performance optimization for indexing and querying
Monitoring and Observability
- Performance metrics and cluster health monitoring
- Utilizing the OpenSearch Performance Analyzer
- Leveraging OpenSearch Dashboards for monitoring tasks
Security and Access Control
- User authentication and role-based access control
- Data encryption and secure communication protocols
- Audit logging and compliance capabilities
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
- Familiarity with database management principles
- Background in Linux or Windows system administration
- Basic knowledge of REST APIs and JSON data structures
Target Audience
- DevOps professionals 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
