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Duration 21 hours
Course Outline
Introduction to OpenSearch and Its Ecosystem
- Background and evolution from Elasticsearch and Kibana
- Apache 2.0 licensing model
- Overview of OpenSearch project structure and governance
Core Components and Architecture
- OpenSearch nodes, clusters, and indices
- OpenSearch Dashboards and visualization features
- Plugins, extensions, and integration points
Installation and Configuration
- Setting up OpenSearch on Linux and Windows
- Designing cluster configuration and topology
- Managing node roles, settings, and configuration files
Data Indexing and Search
- Index lifecycle management and mapping strategies
- Query DSL, aggregations, and relevance optimization
- Performance tuning for indexing and query execution
Monitoring and Observability
- Performance metrics and cluster health monitoring
- Utilizing the OpenSearch Performance Analyzer
- Leveraging OpenSearch Dashboards for monitoring tasks
Security and Access Control
- Role-based access control and user authentication mechanisms
- Data encryption and secure communication protocols
- Audit logging and compliance features
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 understanding of database management principles
- Experience in Linux or Windows system administration
- Basic knowledge of REST APIs and JSON data formats
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
