OpenSearch training · Practical foundation

OpenSearch Fundamentals

Understand OpenSearch architecture and learn to deploy, secure, ingest, search and operate a production-oriented cluster.

DeliveryInstructor-led
PracticeIndividual lab environment
AudienceTechnical teams
Corporate optionAvailable worldwide
Who it is for

Skills that transfer directly to work

DevOps engineers, system administrators, analysts and platform teams starting to use OpenSearch for search and log analytics.

The course combines structured theory, live demonstrations and guided laboratory work. Questions from your environment can be discussed with the instructor throughout the programme.

01

Learn the architecture

Understand nodes, indices, shards, replicas, cluster state, sizing and resilience.

02

Work with real pipelines

Load and transform data with Logstash OSS, Fluent Bit, Vector and Data Prepper.

03

Operate securely

Configure LDAP integration, security, ISM, snapshots, observability and monitoring plugins.

Course programme

3 days of focused learning and practice

Topics are taught in sequence and reinforced on a prepared individual lab environment.

Day 1

Architecture and deployment

  • OpenSearch architecture
  • Cluster sizing
  • Three-node cluster installation
  • Security plugin and TLS
  • Users, roles and LDAP integration
Day 2

Data and search

  • Mappings and analyzers
  • Index templates
  • REST API and query DSL
  • Aggregations
  • OpenSearch Dashboards
  • Logstash OSS, Fluent Bit and Vector
Day 3

Production operations

  • Data Prepper
  • Index State Management
  • Snapshots and recovery
  • Observability and alerting
  • Monitoring and performance
  • Final Q&A and assessment
Before the course

Prerequisites

Basic Linux administration and familiarity with JSON are helpful.

Corporate groups can request a short pre-course assessment so the instructor can adjust examples without changing the learning objectives.

Plan this course for yourself or your team.

Request dates and pricing