OpenSearch Training in Topeka

OpenSearch is a scalable, open-source search and analytics suite designed for high-volume data indexing, observability, and real-time analytics across distributed systems.

This instructor-led, live training (online or onsite) is aimed at advanced-level engineers and architects who wish to design, deploy, and manage OpenSearch clusters capable of handling large-scale data ingestion and analytics workloads, both on-premises and using AWS OpenSearch Service for government.

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

• Design and deploy highly scalable OpenSearch clusters across multiple environments.
• Optimize indexing, search, and storage for performance at scale.
• Integrate OpenSearch with AWS OpenSearch Service for hybrid and managed deployments in government settings.
• Implement observability, high availability, and automated recovery strategies to ensure robust operations.

Format of the Course

• Instructor-led theory sessions with guided discussions focused on government use cases.
• Extensive hands-on exercises simulating real-world scaling challenges relevant to public sector workflows.
• Practical lab work on distributed deployment and performance tuning, tailored for government applications.

Course Customization Options

• This course can be adapted to emphasize your organization’s data size, performance goals, and deployment environment, ensuring alignment with public sector requirements.

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

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

• Establish the necessary development environment to begin building search and analytics solutions with OpenSearch and OpenSearch Dashboards.
• Comprehend the three methods (snapshot, restart, and rolling) for upgrading from Elasticsearch OSS to OpenSearch.
• Acquire skills in indexing data, creating data streams, executing queries, and facilitating cross-cluster operations in OpenSearch.
• Investigate and utilize plugins, APIs, clients, and ingestion tools (such as Beats, Logstash, Grafana, etc.) to enhance the search experience while maintaining cluster security.
• Leverage OpenSearch Dashboards for centralized data management, visualization, logging, monitoring, and maintenance.