Search Engines Training in Sharjah

Elastic Stack (ELK) is a robust platform designed for real-time search, analysis, and visualization of log data across multiple sources.

This instructor-led live training, available online or onsite, targets intermediate IT professionals aiming to deepen their ELK expertise. The course focuses on managing distributed log data, automating alerts, and building advanced visualizations and dashboards.

Upon completion, participants will be equipped to:

• Configure complex ingestion and parsing workflows from diverse sources, including databases.
• Develop tailored Kibana dashboards to suit specific teams or use cases.
• Deploy email notifications and condition-based alert systems.
• Apply regular expressions to enhance log search accuracy.
• Administer user roles and access permissions to ensure secure log environments.
• Utilize the Elasticsearch REST API for automation and seamless integration.

Format of the Course

• Engaging lectures and interactive discussions.
• Extensive practical exercises and hands-on practice.
• Real-time implementation within a live-lab environment.

Course Customization Options

• For tailored training arrangements, please reach out to us directly.

OpenSearch is a scalable, open-source solution for search and analytics, tailored for high-volume data indexing, observability, and real-time analytics within distributed systems.

This instructor-led live training, available either online or on-site, targets advanced engineers and architects seeking to design, deploy, and manage OpenSearch clusters capable of handling extensive data ingestion and analytics workloads, both on-premises and via AWS OpenSearch Service.

Upon completing this training, participants will be able to:

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

Course Format

• Instructor-led theoretical sessions accompanied by guided discussions.
• Comprehensive hands-on exercises that simulate real-world scaling challenges.
• Practical lab work focused on distributed deployment and performance tuning.

Course Customization Options

• This course can be tailored to prioritize your organization’s data volume, performance objectives, and deployment environment.

This instructor-led, live training in Sharjah (online or onsite) is designed for intermediate-level administrators and developers aiming to enhance their understanding of Elasticsearch administration. The course includes advanced techniques for dashboard development in Kibana, as well as essential 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.

Upon completion of this course, participants will be capable of:

• Grasping the architecture, components, and capabilities of OpenSearch alongside its dashboards.
• Deploying and configuring OpenSearch clusters within on-premises and cloud environments.
• Integrating OpenSearch with AWS OpenSearch Service and other enterprise data systems.
• Optimizing performance, security, and scalability for production-grade deployments.

Course Format

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

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 the UAE 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 Sharjah (online or onsite) targets developers and administrators seeking to utilize OpenSearch for distributed search and data analytics in a secure, unified environment.

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

• Set up the necessary development environment to begin constructing search and analytics solutions with OpenSearch and OpenSearch Dashboards.
• Understand the three migration approaches (snapshot, restart, and rolling) for upgrading from Elasticsearch OSS to OpenSearch.
• Learn to index data, create data streams, execute queries, and streamline cross-cluster operations in OpenSearch.
• Explore and utilize plugins, APIs, clients, and ingestion tools (including Beats, Logstash, Grafana, etc.) to optimize the search experience while maintaining cluster security.
• Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance.

This instructor-led, live training in Sharjah (onsite or remote) is designed for developers wishing to learn how to use Solr for advanced development.

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

• Tune and scale Solr and SolrCloud.
• Streamline the monitoring of log files.
• Integrate index and query-time plugins.
• Build optimized clusters capable of handling thousands of queries per second.

This instructor-led, live training in Sharjah (online or on-site) is designed for 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 Sharjah (online or onsite) is designed for advanced professionals aiming to effectively administer, monitor, and maintain Elasticsearch clusters for high performance and availability.

Upon completing this training, participants will be able to:

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

This instructor-led, live training Sharjah is tailored for system administrators who intend to set up an ELK stack (Elasticsearch, Logstash, Kibana). Please note that a minimum of three participants is required for the course to proceed.

The training initiates with a discussion on ELK architecture and functionality, advancing to live lab implementation and practice. Hands-on exercises are integral to the program, offering participants the opportunity to apply their learning while receiving feedback on their development.

This course provides an introduction to Kibana for Elasticsearch users.

Kibana is an open-source analytics and visualization platform designed to work seamlessly with Elasticsearch. It allows you to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your information using various charts, tables, and maps.

Kibana simplifies the understanding of large data volumes. Its intuitive, browser-based interface enables you to quickly create and share dynamic dashboards that reflect real-time changes in Elasticsearch queries.

The Hidden Cost of "Invisible" Code Migrating to or building with Nuxt 4 offers incredible performance, but its complex rendering modes (Hybrid, ISR, SWR) create a dangerous "Rendering Cliff." If your developers treat Nuxt 4 purely as a UI framework without understanding its hydration behavior, you risk deploying applications that are invisible to Google. A site that cannot be indexed yields 0% organic return on investment. Fixing these architectural issues post-launch costs 3x to 5x more than implementing them correctly during the build.

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.

This instructor-led, live training in Sharjah (online or onsite) is designed for web developers aiming to leverage regular expressions to build robust algorithms for defining search patterns.

Upon completing this training, participants will be capable of:

• Constructing complex search patterns utilizing character sets.
• Implementing regular expression techniques within any regex engine, such as PHP, Python, etc.
• Integrating script automation into system processes through the use of extended regular expressions.

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 deploy 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 conventional master-slave clusters
• Configure a centralized SolrCloud cluster
• Automate processes such as communicating with shards, adding documents to the shards, and more
• Use Zookeeper alongside SolrCloud to further automate processes
• Utilize the interface for error reporting management
• 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

• A mix of lectures, discussions, exercises, and extensive hands-on practice

This course provides an introduction to the Solr platform. By combining lectures, discussions, and hands-on labs, students will gain practical experience in configuring effective search and indexing mechanisms.

The training begins with the basics of Solr installation and configuration, then progresses to teaching attendees the core search capabilities of Solr. Students will gain proficiency in key features such as faceting, indexing, and search relevance, among others that are central to the Solr ecosystem. The course concludes with several advanced topics, including spell checking, suggestions, Multicore, and SolrCloud.

Duration: 3 days

Audience: Developers, business users, administrators