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Duration 21 hours
Course Outline
Overview of OpenSearch and Its Ecosystem
- Origins and history rooted in Elasticsearch and Kibana
- Apache 2.0 licensing model
- Introduction to the OpenSearch project structure and governance
Key Components and Architecture
- OpenSearch nodes, clusters, and indices
- Visualization features of OpenSearch Dashboards
- Plugins, extensions, and integration interfaces
Setup and Configuration
- Installing OpenSearch on Linux and Windows
- Designing cluster configuration and topology
- Node roles, parameters, and configuration files
Indexing Data and Search Operations
- Managing index lifecycles and mapping strategies
- Query DSL, aggregations, and relevance tuning
- Optimizing performance for indexing and query execution
Monitoring and Observability
- Tracking performance metrics and cluster health
- Utilizing the OpenSearch Performance Analyzer
- Leveraging OpenSearch Dashboards for monitoring purposes
Security and Access Management
- Role-based access control and user authentication
- Data encryption and secure communication protocols
- Audit logging and compliance capabilities
Advanced Management and Scaling
- Backup and recovery approaches
- Horizontal scaling and high availability strategies
- Troubleshooting techniques and maintenance best practices
Conclusion and Future Steps
Requirements
- Knowledge of database management principles
- Experience with Linux or Windows system administration
- Basic understanding of REST APIs and JSON data formats
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
