Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 21 hours
Course Outline
Introduction to OpenSearch and Its Ecosystem
- Origins and history rooted in Elasticsearch and Kibana.
- Licensing model under Apache 2.0.
- Overview of the OpenSearch project structure and governance.
Core Components and Architecture
- OpenSearch nodes, clusters, and indices.
- Visualisation capabilities through OpenSearch Dashboards.
- Plugins, extensions, and integration points.
Installation and Configuration
- Installing OpenSearch on Linux and Windows.
- Designing cluster configuration and topology.
- Managing node roles, settings, and configuration files.
Data Indexing and Search
- Index lifecycle management and mapping strategies.
- Query DSL, aggregations, and relevance tuning.
- Optimising performance for indexing and queries.
Monitoring and Observability
- Tracking performance metrics and cluster health checks.
- Utilising the OpenSearch Performance Analyzer.
- Using OpenSearch Dashboards for ongoing monitoring.
Security and Access Control
- Implementing role-based access control and user authentication.
- Data encryption and secure communication protocols.
- Audit logging and compliance features.
Advanced Administration and Scaling
- Developing backup and restore strategies.
- Achieving horizontal scaling and high availability.
- Troubleshooting techniques and maintenance best practices.
Summary and Next Steps
Requirements
- A solid understanding of database management concepts.
- Experience with system administration on Linux or Windows.
- 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
