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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 details
- Structure and governance of the OpenSearch project
Core Components and Architecture
- OpenSearch nodes, clusters, and indices
- Visualization features of OpenSearch Dashboards
- Plugins, extensions, and integration capabilities
Installation and Configuration
- Setting up OpenSearch on Linux and Windows
- Cluster configuration and topology planning
- Node roles, parameters, and configuration files
Data Indexing and Search
- Index lifecycle management and mapping techniques
- Query DSL, aggregations, and relevance adjustment
- Optimizing performance for indexing and search operations
Monitoring and Observability
- Performance metrics and cluster health assessment
- Utilization of the OpenSearch Performance Analyzer
- Leveraging OpenSearch Dashboards for monitoring
Security and Access Control
- Role-based access control and user verification
- Data encryption and secure communication protocols
- Audit logging and compliance functionalities
Advanced Administration and Scaling
- Backup and recovery methods
- Horizontal scaling and high availability setups
- Troubleshooting techniques and maintenance best practices
Conclusion and Future Steps
Requirements
- Knowledge of database management principles
- Background in system administration for Linux or Windows
- Basics 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
