Search Engines Training in Sud-Vest

Elastic Stack (ELK) is a robust platform designed for real-time searching, analysis, and visualization of log data collected from diverse sources.

This instructor-led live training (available online or onsite) targets intermediate-level IT professionals eager to enhance their ELK proficiency. The course focuses on managing distributed log data, automating alert systems, and building sophisticated visualizations and dashboards.

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

• Set up complex ingestion and parsing workflows from various sources, including databases.
• Develop tailored Kibana dashboards to suit specific teams or operational scenarios.
• Establish email notifications and condition-driven alerts.
• Leverage regular expressions to enhance search accuracy within logs.
• Administer user roles and access permissions to ensure a secure logging environment.
• Utilize the Elasticsearch REST API for automation and seamless integration.

Course Format

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

Course Customization Options

• To arrange a customized training session for this course, please get in touch with us.

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.

This guided, live training in Sud-Vest (available online or onsite) is designed for intermediate-level administrators and developers looking to expand their knowledge of Elasticsearch administration. The course encompasses advanced techniques for creating dashboards in Kibana and ensuring effective system maintenance.

By the conclusion of this training, participants will be capable of:

• Establishing and configuring Elasticsearch and Kibana environments for advanced administration and dashboard development.
• Creating and managing Elasticsearch indices, mappings, and data models.
• Developing sophisticated queries and filters to extract valuable insights from Elasticsearch data.
• Designing and building interactive dashboards in Kibana using various visualization types and techniques.
• Implementing 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 Sud-Vest is tailored for software developers aiming to build search and analytics solutions using Elasticsearch.

The training starts with a discussion of Elasticsearch architecture, including its distributed model and search API. It then explains Elasticsearch functionality and how to effectively integrate it into existing applications.

Hands-on exercises form an essential part of the training, providing participants with opportunities to apply their knowledge while receiving feedback on their implementation and progress.

This instructor-led, live training in Sud-Vest (online or onsite) is aimed at 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 Sud-Vest (online or on-site) is designed for beginner-level IT professionals and developers who wish to utilize Elasticsearch for real-time data storage, search, and analysis.

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 Sud-Vest (online or onsite) is aimed at advanced-level professionals who wish to administer, monitor, and maintain Elasticsearch clusters effectively 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 Sud-Vest is tailored for system administrators aiming to implement 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, progressing to live lab implementation and practice. Hands-on exercises constitute a vital part of the curriculum, offering participants the opportunity to apply their skills while getting feedback on their progress.

The Elastic Stack (previously known as the ELK Stack) is a complete collection of open-source tools built for searching, analyzing, and visualizing both structured and unstructured data. This training course is designed to give participants a thorough understanding of the Elastic Stack's core components—Elasticsearch, Kibana, and Logstash. The curriculum covers fundamental concepts, installation procedures, configuration, cluster management, advanced analytics, and best practices for production environments. The course is designed to blend theoretical knowledge with practical, hands-on experience, making it ideal for professionals who want to deploy, manage, and optimize the Elastic Stack in real-world scenarios. Upon completion, participants will possess the necessary skills to design, implement, and sustain scalable and robust Elastic Stack solutions.

This course offers a hands-on introduction to OpenSearch and the ELK Stack, emphasizing their architecture, key distinctions, deployment methods, and operational management. Learners will acquire the skills to install and configure OpenSearch, evaluate its differences from Elasticsearch, plan migration strategies, implement robust security measures, and apply best practices for monitoring, troubleshooting, and managing cluster lifecycles.

Upon completion of the training, participants will be equipped to confidently assess, deploy, operate, and migrate OpenSearch environments, with a clear understanding of the trade-offs between Elasticsearch and OpenSearch for enterprise applications.

Moving to or developing with Nuxt 4 delivers exceptional performance, yet its sophisticated rendering modes (Hybrid, ISR, SWR) introduce a perilous "Rendering Cliff." When developers view Nuxt 4 merely as a UI tool without grasping its hydration mechanics, they risk releasing applications that remain undetectable to Google. A website that cannot be indexed generates zero organic return on investment. Rectifying these structural flaws after launch is three to five times more expensive than addressing them correctly during development.

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, attendees will learn how to set up a SolrCloud instance on Amazon AWS.

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

• Grasp SolrCloud's features and how they compare to traditional master-slave clusters
• Set up a centralized SolrCloud 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