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Course Outline
Introduction
- Comparing OpenSearch, Elasticsearch, and Solr
- Overview of OpenSearch features and architectural design
Getting Started
- Installation and setup of OpenSearch and OpenSearch Dashboards
- Migration strategies from Elasticsearch OSS to OpenSearch
- Building and configuring an OpenSearch cluster
Indexing Data
- Executing requests via the index API
- Retrieving and reading data
- Updating and removing data entries
- Establishing index aliases
- Adding and removing indices
- Managing alias configurations
- Defining index alias parameters
- Creating index templates
- Performing data reindexing
Adding a Data Stream
- Developing index templates
- Instantiating a data stream
- Ingesting data into the data stream
- Querying data streams
- Creating backing indices (rollover process)
- Data stream administration
Searching and Aggregating Data
- Metric, bucket, and pipeline aggregation techniques
- Utilizing the Query DSL (term-level, full-text, and boolean queries)
- Creating and managing search templates
- Investigating advanced search capabilities
Working with APIs
- Parameters supported in REST operations
- Example requests for OpenSearch actions
- In-depth exploration of OpenSearch APIs
Using OpenSearch Dashboards
- Configuring the WMS map server
- Creating Gantt charts
- Generating on-demand reports
- Utilizing OpenSearch Notebooks
Securing OpenSearch
- Installing and configuring the security plugin
- Setting up authentication and authorization frameworks
- Configuring YAML configuration files
- Generating certificates for TLS and CA
- Managing system indices
- Integrating Active Directory and LDAP
- Implementing SAML and OpenID Connect
- Enabling proxy authentication
- Acquiring client certificates
- Defining access controls
- Activating audit logging
Managing OpenSearch Plugins
- Leveraging search plugins including SQL, PPL, k-NN, and Asynchronous search
- Automating index management using IM plugins
- Cross-cluster index replication via plugins
- Security alerting and anomaly detection features
- Utilizing trace analytics and performance analyzer tools
Integrating Clients and Tools
- Task management using the OpenSearch CLI
- Interaction with OpenSearch clusters via Java
- Implementing Python, Go, and JavaScript clients
- Collaborating with agents and ingestion tools like Beats, Logstash, and Grafana
Troubleshooting and Maintenance
Summary and Next Steps
Requirements
- Prior familiarity with Elasticsearch and Kibana
- Practical experience in software development
Target Audience
- Developers
- System 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.
