Search and Analytics with Amazon OpenSearch

• Familiarity with Elasticsearch and Kibana
• Experience in software development

Audience

• Developers
• Administrators

OpenSearch (successor of Elasticsearch) is an open source software for search and analytics. It provides an easy-to-use visualization tool, OpenSearch Dashboards, for real-time data monitoring and reporting.

This instructor-led, live training (online or onsite) is aimed at developers and administrators who wish to use OpenSearch to perform distributed search and data analytics in a unified and secure system.

By the end of this training, participants will be able to:

• Set up the necessary development environment to start building search and analytics solutions with OpenSearch and OpenSearch Dashboards.
• Understand the three approaches (snapshot, restart, and rolling) in upgrading from Elasticsearch OSS to OpenSearch.
• Learn how to index data, create data streams, run queries, and streamline cross-cluster operations in OpenSearch.
• Explore and use plugins, APIs, clients, and ingestion tools (Beats, Logstash, Grafana, etc.) to optimize search experience while keeping clusters secure.
• Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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