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Course Outline
Introduction to OpenSearch and Its Ecosystem
- History and origin from Elasticsearch and Kibana.
- Licensing under Apache 2.0.
- Overview of the OpenSearch project structure and governance.
Core Components and Architecture
- OpenSearch nodes, clusters, and indices.
- OpenSearch Dashboards and visualization capabilities.
- Plugins, extensions, and integration points.
Installation and Configuration
- Installing OpenSearch on Linux and Windows.
- Cluster configuration and topology design.
- Node roles, settings, and configuration files.
Data Indexing and Search
- Index lifecycle management and mapping strategies.
- Query DSL, aggregations, and relevance tuning.
- Performance optimization for indexing and queries.
Monitoring and Observability
- Performance metrics and cluster health checks.
- OpenSearch Performance Analyzer.
- Using OpenSearch Dashboards for monitoring.
Security and Access Control
- Role-based access control and user authentication.
- Data encryption and secure communication.
- Audit logging and compliance features.
Advanced Administration and Scaling
- Backup and restore strategies.
- Horizontal scaling and high availability.
- Troubleshooting and maintenance best practices.
Summary and Next Steps
Requirements
- A foundational understanding of database management concepts.
- Experience with Linux or Windows system administration.
- Basic familiarity with REST APIs and JSON data formats.
Audience
- DevOps engineers and system administrators.
- Data engineers and software developers.
- Technical architects managing enterprise search or analytics infrastructure.
21 Hours
Testimonials (1)
the trainer was very good and made the training perfect for my needs
