OpenSearch at Scale Training Course

This instructor-led, live training in US (online or onsite) is designed for developers and administrators seeking to leverage OpenSearch for distributed search and data analytics within a secure and unified environment.

Upon completion of this course, participants will be equipped to:

• Establish the required development environment to begin constructing search and analytics solutions using OpenSearch and OpenSearch Dashboards.
• Comprehend the three upgrade methodologies—snapshot, restart, and rolling—when transitioning from Elasticsearch OSS to OpenSearch.
• Gain proficiency in indexing data, creating data streams, executing queries, and optimizing cross-cluster operations within OpenSearch.
• Utilize plugins, APIs, clients, and ingestion tools (such as Beats, Logstash, and Grafana) to enhance the search experience while maintaining cluster security.
• Employ OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance activities for government operations.

OpenSearch is an open-source search and analytics platform derived from Elasticsearch 7.10 and Kibana 7.10. It was initially developed by AWS to provide a fully open alternative following licensing adjustments by Elastic NV, serving as a foundational tool for government data infrastructure needs.

This instructor-led training, available online or onsite, is designed for intermediate-level engineers and architects who need to deploy, configure, and manage OpenSearch clusters. The curriculum supports search, observability, and analytics workloads while clarifying the relationship between open-source OpenSearch and AWS OpenSearch Service, ensuring alignment with federal IT standards for government applications.

Upon completion of this training, participants will be equipped to:

• Comprehend the architecture, components, and dashboard capabilities of OpenSearch.
• Deploy and configure OpenSearch clusters in both on-premises and cloud environments.
• Integrate OpenSearch with AWS OpenSearch Service and other enterprise data systems to support secure information workflows.
• Enhance performance, security protocols, and scalability to meet production-grade deployment requirements.

Course Format

• Instructional explanations accompanied by live technical demonstrations.
• Practical labs and real-world configuration exercises to reinforce operational competence.
• Collaborative discussions centered on troubleshooting methodologies and established best practices.

Customization Options

• To align this training with your organization’s specific operational requirements, please contact us to arrange a customized session tailored for government entities.

OpenSearch is an open-source search and analytics platform, derived from Elasticsearch. It delivers distributed search capabilities, log analysis, and observability features while eliminating licensing constraints and dependency on proprietary managed services.

This instructor-led live training session, available via remote or on-site delivery, targets intermediate DevOps professionals and search engineers seeking to transition from Amazon OpenSearch, Elastic Cloud, or Splunk implementations to an OpenSearch-based infrastructure.

Upon completion of this program, participants will be equipped to:

• Deploy and secure a multi-node OpenSearch cluster.
• Ingest logs, traces, and metrics using Beats, Fluent Bit, and OpenTelemetry.
• Create visualizations within OpenSearch Dashboards.
• Implement role-based access control (RBAC) and index lifecycle management policies.

Course Format

• Interactive instruction with collaborative discussion.
• Extensive practical exercises.
• Real-time implementation within a live-lab environment.

Customization for government**

• To request customized training tailored for government requirements, please contact us to arrange the schedule.