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Duration 21 hours
Course Outline
Introduction to OpenSearch and Its Ecosystem
- Historical context and origins from Elasticsearch and Kibana
- Licensing framework under Apache 2.0
- Overview of the OpenSearch project structure and governance model
Core Components and Architecture
- Understanding OpenSearch nodes, clusters, and indices
- Features of OpenSearch Dashboards and visualization tools
- Managing plugins, extensions, and integration points
Installation and Configuration
- Procedure for installing OpenSearch on Linux and Windows
- Designing cluster configuration and topology
- Defining node roles, settings, and managing configuration files
Data Indexing and Search
- Strategies for index lifecycle management and mapping
- Utilizing Query DSL, aggregations, and relevance tuning
- Optimizing performance for indexing and query execution
Monitoring and Observability
- Tracking performance metrics and cluster health
- Using the OpenSearch Performance Analyzer
- Leveraging OpenSearch Dashboards for continuous monitoring
Security and Access Control
- Implementing role-based access control and user authentication
- Ensuring data encryption and secure communication protocols
- Managing audit logs and compliance features
Advanced Administration and Scaling
- Developing backup and restore strategies
- Achieving horizontal scaling and high availability
- Best practices for troubleshooting and maintenance
Summary and Next Steps
Requirements
- A solid understanding of database management concepts
- Practical experience with Linux or Windows system administration
- Basic familiarity with REST APIs and JSON data structures
Target Audience
- DevOps engineers and system administrators
- Data engineers and software developers
- Technical architects responsible for managing enterprise search or analytics infrastructure
Testimonials (1)
the trainer was very good and made the training perfect for my needs
