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Course Outline
Introduction to OpenSearch and Its Ecosystem
- Historical context and origins from Elasticsearch and Kibana.
- Licensing details under Apache 2.0.
- Overview of the OpenSearch project structure and governance model.
Core Components and Architecture
- Understanding OpenSearch nodes, clusters, and indices.
- OpenSearch Dashboards and their visualization capabilities.
- Plugins, extensions, and integration points.
Installation and Configuration
- Installing OpenSearch on Linux and Windows systems.
- Designing cluster configuration and topology.
- Configuring node roles, settings, and configuration files.
Data Indexing and Search
- Index lifecycle management and mapping strategies.
- Utilizing Query DSL, aggregations, and relevance tuning.
- Optimizing performance for indexing and query operations.
Monitoring and Observability
- Tracking performance metrics and conducting cluster health checks.
- Leveraging OpenSearch Performance Analyzer.
- Using OpenSearch Dashboards for monitoring purposes.
Security and Access Control
- Implementing role-based access control and user authentication.
- Ensuring data encryption and secure communication protocols.
- Utilizing audit logging and compliance features.
Advanced Administration and Scaling
- Developing backup and restore strategies.
- Achieving horizontal scaling and high availability.
- Adopting troubleshooting techniques and maintenance best practices.
Summary and Next Steps
Requirements
- Foundational knowledge of database management concepts.
- Prior experience in Linux or Windows system administration.
- Basic understanding 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.
21 Hours
Testimonials (1)
the trainer was very good and made the training perfect for my needs