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Course Outline
Introduction to OpenSearch and Its Ecosystem
- Historical background stemming from Elasticsearch and Kibana.
- Apache 2.0 licensing framework.
- Overview of the OpenSearch project's structure and governance model.
Core Components and Architecture
- Understanding OpenSearch nodes, clusters, and indices.
- OpenSearch Dashboards and their visualization features.
- Plugins, extensions, and potential integration points.
Installation and Configuration
- Installing OpenSearch on Linux and Windows platforms.
- Designing cluster configuration and topology.
- Configuring node roles, settings, and configuration files.
Data Indexing and Search
- Strategies for index lifecycle management and mapping.
- Utilizing Query DSL, aggregations, and relevance tuning.
- Optimizing performance for indexing operations and queries.
Monitoring and Observability
- Analyzing performance metrics and cluster health status.
- Leveraging the OpenSearch Performance Analyzer.
- Using OpenSearch Dashboards for comprehensive monitoring.
Security and Access Control
- Implementing role-based access control and user authentication.
- Ensuring data encryption and secure communication protocols.
- Enabling audit logging and compliance features.
Advanced Administration and Scaling
- Developing backup and restore strategies.
- Implementing horizontal scaling and high availability.
- Adhering to troubleshooting and maintenance best practices.
Summary and Next Steps
Requirements
- Foundational knowledge of database management principles.
- Experience in system administration for Linux or Windows.
- Basic understanding of REST APIs and JSON data structures.
Target Audience
- DevOps engineers and system administrators.
- Data engineers and software developers.
- Technical architects responsible for enterprise search or analytics infrastructure.
21 Hours
Testimonials (1)
the trainer was very good and made the training perfect for my needs