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Course Outline
Introduction
- OpenSearch vs Elasticsearch vs Solr
- Overview of OpenSearch features and architecture
Getting Started
- Setting up OpenSearch and OpenSearch Dashboards
- Upgrading from Elasticsearch OSS to OpenSearch
- Creating and configuring an OpenSearch cluster
Indexing Data
- Sending a request to the index API
- Reading or retrieving data
- Updating and deleting data
- Creating index aliases
- Adding or removing indices
- Managing aliases
- Specifying index alias options
- Creating a template
- Reindexing data
Adding a Data Stream
- Creating an index template
- Creating a data stream
- Ingesting data into the data stream
- Searching a data stream
- Creating a backing index (rollover)
- Managing data streams
Searching and Aggregating Data
- Metric, bucket, and pipeline aggregations
- Using the query DSL (term-level, full-text, and boolean queries)
- Creating and managing search templates
- Exploring advanced search features
Working with APIs
- Supported parameters for REST operations
- Sample requests for OpenSearch operations
- Exploring OpenSearch APIs
Using OpenSearch Dashboards
- Configuring WMS map server
- Creating a Gantt chart
- Generating on-demand reports
- Using OpenSearch Notebooks
Securing OpenSearch
- Setting up the security plugin
- Configuring authentication and authorization
- Configuring YAML files
- Generating certificates (TLS and CA)
- Managing system indices
- Using Active Directory and LDAP
- Implementing SAML an OpenID connect
- Enabling proxy authentication
- Obtaining client certificates
- Configuring access controls
- Enabling audit logging
Managing OpenSearch Plugins
- Using search plugins (SQL, PPL, k-NN, and Asynchronous search)
- Automating index management with IM plugins
- Replicating cross-cluster indices using plugins
- Alerting security and anomaly detection
- Using trace analytics and performance analyzer
Integrating Clients and Tools
- Managing tasks using OpenSearch CLI
- Interacting with OpenSearch clusters using Java
- Using Python, Go, and Javascript clients
- Working with agents and ingestion tools (Beats, Logstash, Grafana, etc.)
Troubleshooting and Maintenance
Summary and Next Steps
Requirements
- Familiarity with Elasticsearch and Kibana
- Experience in software development
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.
Dhivyalakshmi Ponnusamy - Mercedes-Benz AG
Course - Search and Analytics with Amazon OpenSearch
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