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Duration 21 hours
Course Outline
Introduction to OpenSearch and Its Ecosystem
- Historical context and evolution from Elasticsearch and Kibana.
- Licensing details under the Apache 2.0 licence.
- Overview of the OpenSearch project’s structure and governance model.
Core Components and Architecture
- OpenSearch nodes, clusters, and indices.
- Capabilities of OpenSearch Dashboards for visualisation.
- Plugins, extensions, and key integration points.
Installation and Configuration
- Installing OpenSearch on Linux and Windows platforms.
- Designing cluster configuration and topology.
- Managing node roles, settings, and configuration files.
Data Indexing and Search
- Strategies for index lifecycle management and mapping.
- Utilising Query DSL, aggregations, and relevance tuning.
- Optimising performance for both indexing and query execution.
Monitoring and Observability
- Tracking performance metrics and cluster health checks.
- Utilising the OpenSearch Performance Analyzer.
- Leveraging OpenSearch Dashboards for effective monitoring.
Security and Access Control
- Implementing role-based access control and user authentication.
- Data encryption and ensuring secure communication channels.
- Audit logging and compliance-related features.
Advanced Administration and Scaling
- Developing backup and restore strategies.
- Horizontal scaling and ensuring high availability.
- Best practices for troubleshooting and routine maintenance.
Summary and Next Steps
Requirements
- A solid grasp of database management concepts.
- Practical experience with Linux or Windows system administration.
- Basic familiarity with REST APIs and JSON data formats.
Audience
- DevOps engineers and system administrators.
- Data engineers and software developers.
- Technical architects responsible for enterprise search or analytics infrastructure.
Testimonials (1)
the trainer was very good and made the training perfect for my needs