Search Engine Training Training in Enschede

The Elastic Stack (ELK) serves as a robust platform for real-time searching, analyzing, and visualizing log data collected from diverse sources.

This instructor-led live training, available online or onsite, is designed for IT professionals at an intermediate level who aim to expand their ELK expertise. The course focuses on managing distributed log data, automating alert mechanisms, and developing sophisticated visualizations and dashboards.

Upon completing this training, participants will be able to:

• Configure advanced ingestion and parsing workflows from various sources, including databases.
• Develop tailored Kibana dashboards suited for specific teams or use cases.
• Implement email notifications and set up condition-based alerts.
• Utilize regular expressions to enhance search precision within logs.
• Manage user roles and access rights to ensure secure log environments.
• Interact with the Elasticsearch REST API to facilitate automation and integration.

Format of the Course

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

Course Customization Options

• For customized training requests, please contact us to arrange your specific needs.

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.
• Optimise 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 organisation’s data size, performance goals, and deployment environment.

This instructor-led, live training in Enschede (online or onsite) is designed for intermediate-level administrators and developers looking to deepen their knowledge of Elasticsearch administration. The course includes advanced techniques for dashboard development in Kibana as well as system maintenance.

By the end 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.

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.

This instructor-led, live training in Enschede 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 Enschede (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.

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

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

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

This instructor-led, live training in Enschede is intended for system administrators who aim to configure an ELK stack (Elasticsearch, Logstash, Kibana). Please note that a minimum of 3 participants is required for this course to proceed.

The training initiates with a discussion on ELK architecture and functionality, transitioning into live lab implementation and practice. Practical exercises are a vital part of the curriculum, offering participants the opportunity to apply their learning while obtaining feedback on their development.

This course offers a hands-on introduction to OpenSearch and the ELK Stack, with a focus on their architectural design, key distinctions, deployment methods, and operational management. Participants will learn how to install and configure OpenSearch, compare it against Elasticsearch, plan effective migration strategies, implement security measures, and apply best practices for monitoring, troubleshooting, and managing cluster lifecycles.

By the end of this training, participants will be equipped to confidently evaluate, deploy, operate, and migrate OpenSearch environments, while clearly understanding the trade-offs between Elasticsearch and OpenSearch for enterprise scenarios.

Migrating to or building with Nuxt 4 delivers exceptional performance, yet its intricate rendering modes (Hybrid, ISR, SWR) create a perilous "Rendering Cliff." If your development team views Nuxt 4 solely as a UI framework without grasping its hydration mechanics, you risk launching applications that are completely invisible to Google. A site that cannot be indexed generates zero organic return on investment. Resolving these architectural flaws post-launch costs three to five times more than implementing them correctly during the initial build phase.

OpenSearch is an open-source search and analytics engine, originally forked from Elasticsearch. It provides distributed search, log analytics, and observability without license risks or managed-service lock-in.

This instructor-led, live training (online or onsite) is aimed at intermediate DevOps and search engineers who wish to use OpenSearch to replace Amazon OpenSearch, Elastic Cloud, or Splunk.

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

• Deploy and secure a multi-node OpenSearch cluster.
• Ingest logs, traces, and metrics via Beats, Fluent Bit, and OpenTelemetry.
• Build dashboards in OpenSearch Dashboards.
• Apply role-based access control and index lifecycle policies.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

Apache SolrCloud is a distributed data processing engine that enables the searching and indexing of files across a distributed network.

In this instructor-led, live training, participants will learn how to set up a SolrCloud instance on Amazon AWS.

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

• Understand SolrCloud's features and how they compare to those of conventional master-slave clusters
• Configure a SolrCloud centralized cluster
• Automate processes such as communicating with shards, adding documents to the shards, etc.
• Use Zookeeper in conjunction with SolrCloud to further automate processes
• Use the interface to manage error reporting
• Load balance a SolrCloud installation
• Configure SolrCloud for continuous processing and fail-over

Audience

• Solr Developers
• Project Managers
• System Administrators
• Search Analysts

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice