OpenSearch Fundamentals Training in Astana, Kazakhstan

The OpenSearch Fundamentals Training is an introductory, hands-on program designed to teach how to deploy, use, and manage OpenSearch for search, log analytics, and observability use cases.
Participants will learn the core concepts of OpenSearch clusters, indexing, querying, dashboards, and basic operations, enabling them to build reliable search and analytics solutions using open-source technology.

This course is ideal for developers, DevOps engineers, SREs, data engineers, and IT teams new to OpenSearch.

Introduction to OpenSearch

• What is OpenSearch and why it is used

• OpenSearch vs Elasticsearch (conceptual overview)

• Common use cases: search, logs, analytics, observability

• OpenSearch ecosystem and components

OpenSearch Architecture

• Cluster, nodes, and roles

• Index, shard, and replica concepts

• Data distribution and scaling

• High availability basics

Installing & Running OpenSearch

• Single-node vs multi-node setup

• Docker-based and package-based installation

• Basic configuration files

• Verifying cluster health

Data Modeling & Index Design

• Index mappings and data types

• Designing for search and analytics

• Text vs keyword fields

• Best practices for index structure

Data Ingestion

• Indexing data using REST APIs

• Bulk indexing

• Log and event ingestion concepts

• Integration with common data sources

OpenSearch Query DSL – Fundamentals

• Basic search queries

• Filtering and sorting

• Full-text search basics

• Pagination and result tuning

Aggregations & Analytics

• Metric aggregations

• Bucket aggregations

• Time-series analysis concepts

• Building analytical queries

OpenSearch Dashboards

• Overview of OpenSearch Dashboards

• Creating index patterns

• Building visualizations

• Creating and sharing dashboards

Logs & Observability Use Cases

• Log analytics with OpenSearch

• Searching and filtering logs

• Building operational dashboards

• Basic alerting concepts

Performance & Scaling Basics

• Shard sizing and best practices

• Index lifecycle concepts

• Query performance tuning

• Capacity planning basics

Security Fundamentals

• Users, roles, and permissions

• Securing REST APIs

• Basic authentication and access control

• Multi-tenant considerations

Backup, Restore & Maintenance

• Snapshot and restore concepts

• Basic cluster maintenance

• Upgrades and versioning overview

• Disaster recovery basics

Monitoring & Troubleshooting

• Monitoring cluster health

• Common error scenarios

• Diagnosing slow queries

• Basic troubleshooting workflows

Common Patterns & Best Practices

• Designing for logs vs search

• Multi-index strategies

• Data retention policies

• Operational best practices

Hands-on Exercises

Summary and Conclusion