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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
- Project structure and governance framework
Core Components and Architecture
- Nodes, clusters, and indices within OpenSearch
- Visualization capabilities via OpenSearch Dashboards
- Plugins, extensions, and integration points
Installation and Configuration
- Setting up OpenSearch on Linux and Windows
- Designing cluster topology and configuration
- Managing node roles, settings, and configuration files
Data Indexing and Search
- Index lifecycle management and mapping strategies
- Query DSL, aggregations, and relevance tuning
- Optimizing indexing and query performance
Monitoring and Observability
- Tracking performance metrics and cluster health
- Leveraging the OpenSearch Performance Analyzer
- Utilizing OpenSearch Dashboards for continuous monitoring
Security and Access Control
- Implementing role-based access control and authentication
- Ensuring data encryption and secure communications
- Managing audit logs and compliance features
Advanced Administration and Scaling
- Developing backup and restore strategies
- Achieving horizontal scaling and high availability
- Applying troubleshooting and maintenance best practices
Summary and Next Steps
Requirements
- Foundational knowledge of database management principles
- Practical experience with Linux or Windows system administration
- Basic understanding 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
