ELK to Amazon OpenSearch Training Course

This instructor-led, live training in Greece (online or in-person) is designed for intermediate-level administrators and developers aiming to enhance their knowledge of Elasticsearch administration. The curriculum covers advanced Kibana dashboard development techniques alongside system maintenance strategies.

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

• Set up and configure Elasticsearch and Kibana environments for advanced administration and dashboard development.
• Create and manage Elasticsearch indices, mappings, and data models.
• Develop advanced queries and filters to extract valuable insights from Elasticsearch data.
• Design and build interactive dashboards in Kibana using various visualization types and techniques.
• Implement best practices for Elasticsearch and Kibana administration, optimization, and troubleshooting.

The Elastic Stack (ELK) serves as a robust platform for real-time search, analysis, and visualization of log data from various sources.

This instructor-led live training, available online or on-site, is designed for intermediate IT professionals looking to expand their ELK expertise. The course focuses on managing distributed log data, automating alerts, and developing sophisticated visualizations and dashboards.

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

• Set up advanced ingestion and parsing workflows from multiple sources, including databases.
• Develop tailored Kibana dashboards tailored to specific teams or use cases.
• Implement email notifications and alerts based on specific conditions.
• Utilize regular expressions to enhance search accuracy within logs.
• Manage user roles and access permissions to ensure secure log environments.
• Leverage the Elasticsearch REST API for automation and system integration.

Course Format

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

Course Customization Options

• To arrange a customized training session for this course, please contact us.

This instructor-led, live training in Greece (online or onsite) is aimed at beginner-level IT professionals and developers who wish to use Elasticsearch to store, search, and analyze data in real time.

By the end of this training, participants will be able to: install and configure Elasticsearch, index and query data, optimize search performance, and integrate Elasticsearch into applications.

This instructor-led, live training in Greece (online or onsite) targets advanced professionals who wish to effectively administer, monitor, and maintain Elasticsearch clusters for high performance and availability.

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

• Deploy and configure Elasticsearch clusters for high availability and performance.
• Monitor and optimize Elasticsearch operations.
• Integrate with Kibana and Logstash for advanced analytics and visualization.
• Extend Elasticsearch functionality with plugins.
• Scale Elasticsearch using clustering and sharding techniques.

This instructor-led, live training in Greece is aimed at software developers who wish to build search and analytics solutions using Elasticsearch.

The training starts with a discussion of the Elasticsearch architecture, including its distributed model and search API. This is followed by an explanation of Elasticsearch's functionality and how to best integrate it into an existing application.

Hands-on exercises make up an important part of the training, and give participants a chance to put into practice their knowledge while receiving feedback on their implementation and progress.

This instructor-led, live training in Greece is intended for system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana). Please note that a minimum of 3 participants is required for this course to take place.

The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.

This instructor-led live training in Greece (online or onsite) targets developers and administrators who wish to use OpenSearch to perform distributed search and data analytics in a unified and secure system.

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

• Set up the necessary development environment to start 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 suite derived from Elasticsearch 7.10 and Kibana 7.10, originally developed by AWS to maintain a fully open alternative after licensing changes by Elastic NV.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers and architects who wish to deploy, configure, and manage OpenSearch clusters for search, observability, and analytics workloads, while understanding its relationship with AWS OpenSearch Service.

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

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

Format of the Course

• Instructor explanations combined with live demonstrations.
• Hands-on labs and real-world configuration exercises.
• Collaborative discussions focused 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 reach out to arrange a customized session.

OpenSearch is a robust, open-source suite for search and analytics, engineered to handle high-volume data indexing, observability, and real-time analytics within distributed systems.

This instructor-led training, available online or on-site, targets advanced engineers and architects aiming to design, deploy, and manage OpenSearch clusters capable of supporting large-scale data ingestion and analytics. The course covers both on-premises setups and AWS OpenSearch Service environments.

Upon completion, participants will be equipped to:

• Architect and deploy highly scalable OpenSearch clusters across diverse environments.
• Optimize indexing, search operations, and storage solutions to ensure peak performance at scale.
• Seamlessly integrate OpenSearch with AWS OpenSearch Service for hybrid and managed deployment models.
• Establish strategies for observability, high availability, and automated recovery.

Training Format

• Theoretical instruction led by an expert, supplemented by guided discussions.
• Comprehensive practical exercises designed to simulate real-world scaling challenges.
• Hands-on lab work focusing on distributed deployment and performance tuning.

Customization Options

• The curriculum can be tailored to address your organization's specific data volumes, performance objectives, and deployment infrastructure.

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 being locked into managed services.

This instructor-led training session, available either online or onsite, targets intermediate DevOps professionals and search engineers looking to utilize OpenSearch as an alternative to Amazon OpenSearch, Elastic Cloud, or Splunk.

Upon completion of this course, 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 dashboards within OpenSearch Dashboards.
• Implement role-based access control (RBAC) and index lifecycle management policies.

Course Format

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

Customization Options for the Course

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