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Duration 21 hours
Course Outline
Introduction to OpenSearch and Its Ecosystem
- Historical context and evolution from Elasticsearch and Kibana
- Licensing details under the Apache 2.0 license
- Overview of the OpenSearch project’s structure and governance model
Core Components and Architecture
- Understanding OpenSearch nodes, clusters, and indices
- Exploring OpenSearch Dashboards and its visualization features
- Reviewing plugins, extensions, and key integration points
Installation and Configuration
- Steps for installing OpenSearch on Linux and Windows systems
- Designing cluster configuration and optimal topology
- Managing node roles, settings, and configuration files
Data Indexing and Search
- Strategies for index lifecycle management and mapping
- Utilizing Query DSL, aggregations, and relevance tuning
- Optimizing performance for both indexing and query execution
Monitoring and Observability
- Tracking performance metrics and conducting cluster health checks
- 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
- Utilizing audit logging and compliance features
Advanced Administration and Scaling
- Developing robust backup and restore strategies
- Implementing horizontal scaling for high availability
- Best practices for troubleshooting and ongoing maintenance
Summary and Next Steps
Requirements
- Familiarity with fundamental database management concepts.
- Practical experience in system administration on Linux or Windows platforms.
- Basic knowledge of REST APIs and JSON data structures.
Target Audience
- DevOps engineers and system administrators.
- Data engineers and software developers.
- Technical architects responsible for overseeing enterprise search or analytics infrastructure.
Testimonials (1)
the trainer was very good and made the training perfect for my needs
