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Duration 21 hours
Course Outline
Introduction to OpenSearch and Its Ecosystem
- Origins and history derived from Elasticsearch and Kibana
- Apache 2.0 licensing model
- Structure and governance of the OpenSearch project
Core Components and Architecture
- OpenSearch nodes, clusters, and indices
- Visualization capabilities in OpenSearch Dashboards
- Plugins, extensions, and integration interfaces
Installation and Configuration
- Setting up OpenSearch on Linux and Windows platforms
- Designing cluster topology and configuration
- Node roles, system settings, and configuration files
Data Indexing and Search
- Mapping strategies and index lifecycle management
- Query DSL, aggregations, and relevance tuning
- Optimizing performance for indexing and query execution
Monitoring and Observability
- Cluster health checks and performance metrics
- Utilizing the OpenSearch Performance Analyzer
- Monitoring tools within OpenSearch Dashboards
Security and Access Control
- User authentication and role-based access control
- Secure communication and data encryption
- Compliance features and audit logging
Advanced Administration and Scaling
- Backup and recovery strategies
- High availability and horizontal scaling
- Maintenance routines and troubleshooting best practices
Summary and Next Steps
Requirements
- Familiarity with database management principles
- Hands-on experience with Linux or Windows system administration
- Basic knowledge 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
