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Duration 21 hours
Course Outline
Introduction to OpenSearch and Its Ecosystem
- Origins and history stemming from Elasticsearch and Kibana
- Apache 2.0 licensing model
- Overview of the 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
- Installing OpenSearch on Linux and Windows
- Cluster configuration and topology design
- Node roles, settings, and configuration file management
Data Indexing and Search
- Index lifecycle management and mapping strategies
- Query DSL, aggregations, and relevance tuning
- Performance optimization for indexing and query execution
Monitoring and Observability
- Performance metrics and cluster health assessment
- Utilizing the OpenSearch Performance Analyzer
- Leveraging OpenSearch Dashboards for monitoring purposes
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 restore strategies
- Horizontal scaling and high availability implementation
- Troubleshooting techniques and maintenance best practices
Summary and Next Steps
Requirements
- A solid understanding of database management concepts
- Experience with system administration on Linux or Windows
- Basic familiarity with REST APIs and JSON data formats
Target Audience
- DevOps engineers and system administrators
- Data engineers and software developers
- Technical architects responsible for managing enterprise search or analytics infrastructure
Testimonials (1)
Teacher's Competence
Lorenzo - Banca D'Italia
Course - Search and Analytics with Amazon OpenSearch
Machine Translated
