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Course Outline
Introduction
- OpenSearch versus Elasticsearch versus 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 and 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.
