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Course Outline
Introduction
- Comparing OpenSearch, Elasticsearch, and Solr
- Review of OpenSearch features and architectural design
Getting Started
- Installation and setup of OpenSearch and OpenSearch Dashboards
- Migration procedures from Elasticsearch OSS to OpenSearch
- Formation and configuration of an OpenSearch cluster
Indexing Data
- Transmitting requests to the index API
- Retrieving and reading data records
- Modifying and deleting data entries
- Establishment of index aliases
- Addition and removal of indices
- Management of alias structures
- Definition of index alias parameters
- Creation of index templates
- Execution of data reindexing processes
Adding a Data Stream
- Designing index templates
- Implementation of data streams
- Data ingestion into the stream
- Querying within a data stream
- Creation of backing indices via rollover
- Administration of data stream configurations
Searching and Aggregating Data
- Utilization of metric, bucket, and pipeline aggregations
- Application of query DSL techniques (term-level, full-text, and boolean queries)
- Development and management of search templates
- Investigation of advanced search capabilities
Working with APIs
- Review of supported parameters for REST operations
- Examples of OpenSearch operation requests
- Exploration of the OpenSearch API ecosystem
Using OpenSearch Dashboards
- WMS map server configuration
- Generation of Gantt charts
- Creation of on-demand reports
- Utilization of OpenSearch Notebooks
Securing OpenSearch
- Installation and setup of the security plugin
- Configuration of authentication and authorization protocols
- Adjustment of YAML configuration files
- Generation of TLS and CA certificates
- Administration of system indices
- Integration with Active Directory and LDAP
- Implementation of SAML and OpenID connect
- Activation of proxy authentication
- Acquisition of client certificates
- Setup of access control lists
- Enablement of audit logging features
Managing OpenSearch Plugins
- Deployment of search plugins (SQL, PPL, k-NN, and Asynchronous search)
- Automation of index management using IM plugins
- Cross-cluster index replication via plugins
- Security alerting and anomaly detection systems
- Application of trace analytics and performance analyzers
Integrating Clients and Tools
- Task management through the OpenSearch CLI
- Java-based interaction with OpenSearch clusters
- Use of Python, Go, and JavaScript clients
- Integration with agents and ingestion tools (Beats, Logstash, Grafana, etc.)
Troubleshooting and Maintenance
Summary and Next Steps
Requirements
- Proficiency in Elasticsearch and Kibana
- Background in software development
Target Audience
- Developers
- Administrators
21 Hours
Testimonials (2)
the trainer was very good and made the training perfect for my needs
Florentin - EXPERIS
Course - Search and Analytics with Amazon OpenSearch
Got to know new features in OS which I wasn't aware before.
