OpenSearch Training in Plovdiv

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.

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.
• Implement observability, high availability, and automated recovery strategies.

Format of the Course

• Instructor-led theory sessions with guided discussions.
• Extensive hands-on exercises simulating real-world scaling challenges.
• Practical lab work on distributed deployment and performance tuning.

Course Customization Options

• This course can be adapted to emphasize your organization’s data size, performance goals, and deployment environment.

OpenSearch is an open-source search and analytics platform derived from Elasticsearch 7.10 and Kibana 7.10, initially developed by AWS to provide a fully open-source alternative following licensing changes introduced by Elastic NV.

This instructor-led, live training session (available online or onsite) targets intermediate-level engineers and architects who want to deploy, configure, and manage OpenSearch clusters for search, observability, and analytics use cases, while also understanding its relationship with AWS OpenSearch Service.

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

• Grasp the architecture, components, and functionalities of OpenSearch and its dashboards.
• Deploy and configure OpenSearch clusters in both on-premises and cloud environments.
• Integrate OpenSearch with AWS OpenSearch Service and other enterprise data systems.
• Optimize performance, security, and scalability for production-grade deployments.

Course Format

• Instructor-led explanations paired with live demonstrations.
• Hands-on labs and real-world configuration exercises.
• Collaborative discussions centered on troubleshooting and best practices.

Course Customization Options

• To tailor the content or focus of this OpenSearch training to your organization’s specific needs, please contact us to arrange a customized session.

This instructor-led live training, delivered Plovdiv (online or onsite), is intended for developers and administrators who aim to utilize OpenSearch for distributed search and data analytics in a cohesive and secure system.

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

• Set up the necessary development environment to begin 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.

OpenSearch is an open-source search and analytics engine, initially forked from Elasticsearch. It offers distributed search, log analytics, and observability capabilities without the risks associated with licensing or managed service lock-in.

This instructor-led, live training (available online or onsite) is designed for intermediate DevOps and search engineers looking to replace Amazon OpenSearch, Elastic Cloud, or Splunk with OpenSearch.

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

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

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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