Basic and Extended Regular Expressions Training Course

This instructor-led live training in Turkey (onsite or remote) is aimed at developers who wish 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-time and query-time plugins.
• Create optimized clusters that handle thousands of queries per second.

This instructor-led, live training in Turkey (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as maintenance of the system.

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.

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

This instructor-led training, available both online and onsite, is tailored for intermediate-level IT professionals aiming to enhance their ELK proficiency. The course focuses on managing distributed log data, automating alert mechanisms, and developing sophisticated visualizations and dashboards.

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

• Configure advanced ingestion and parsing pipelines from various sources, including database connections.
• Design tailored Kibana dashboards to meet the specific needs of different teams or use cases.
• Deploy condition-based alerts and configure email notifications.
• Leverage regular expressions to enhance the precision of log searches.
• Manage 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 accompanied by group discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• For inquiries regarding customized training options for this course, please contact us to make arrangements.

This instructor-led, live training in Turkey (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 Turkey (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 Turkey 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 Turkey is intended for system administrators looking to deploy an ELK stack (Elasticsearch, Logstash, Kibana). Please note that a minimum of 3 participants is required for the course to proceed.

The training starts with an overview of ELK architecture and functionality, then transitions to live lab implementation and practice. Hands-on exercises form a crucial part of the curriculum, giving attendees the opportunity to apply their knowledge while receiving feedback on their progress.

The Elastic Stack, previously known as the ELK Stack, is a robust collection of open-source tools intended for searching, analyzing, and visualizing both structured and unstructured data. This training course is designed to provide participants with an in-depth knowledge of the core Elastic Stack components: Elasticsearch, Kibana, and Logstash. The curriculum spans foundational principles, installation procedures, configuration, cluster management, advanced analytics, and best practices for production environments.

Structured to offer both theoretical understanding and practical application, this course is ideal for professionals aiming to deploy, manage, and optimize the Elastic Stack in real-world settings. Upon completion, participants will possess the necessary skills to design, implement, and sustain scalable and highly available Elastic Stack solutions.

This instructor-led, live training in Turkey (online or onsite) is designed for developers and administrators who wish to use OpenSearch to perform distributed search and data analytics within a unified and secure system.

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

• Configure the necessary development environment to begin building search and analytics solutions using OpenSearch and OpenSearch Dashboards.
• Understand the three upgrade methods (snapshot, restart, and rolling) for migrating from Elasticsearch OSS to OpenSearch.
• Learn how to index data, create data streams, execute queries, and streamline cross-cluster operations in OpenSearch.
• Explore and utilize plugins, APIs, clients, and ingestion tools (such as Beats, Logstash, and Grafana) to enhance the search experience while maintaining cluster security.
• Leverage OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance.

OpenSearch is a fully open-source search and analytics platform, forked from Elasticsearch 7.10 and Kibana 7.10. AWS initially developed this suite to ensure a robust, open-source alternative following the licensing modifications introduced by Elastic NV.

This instructor-led training, available both online and onsite, is designed for intermediate-level engineers and architects looking to deploy, configure, and manage OpenSearch clusters for search, observability, and analytics tasks. Participants will also gain a clear understanding of how OpenSearch relates to the AWS OpenSearch Service.

Upon completing this course, attendees will be able to:

• Comprehend the architecture, key components, and features of OpenSearch, including its dashboard functionalities.
• Deploy and configure OpenSearch clusters across on-premises and cloud environments.
• Integrate OpenSearch with AWS OpenSearch Service and various enterprise data systems.
• Enhance performance, security, and scalability for production-ready deployments.

Course Format

• A blend of instructor-led explanations and live demonstrations.
• Practical, hands-on labs and real-world configuration exercises.
• Interactive discussions centered on troubleshooting strategies and best practices.

Customization Options

• To adapt the course content or focus to your organization’s specific requirements, please contact us to arrange a tailored training session.

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.

Upon completing 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.

Course Format

• 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.

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 engine, initially forked from Elasticsearch. It offers distributed search, log analytics, and observability capabilities without the risks associated with licensing or being locked into a managed service.

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

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 sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

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

During 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 compare them with those of traditional master-slave clusters
• Configure a centralized SolrCloud cluster
• Automate processes such as communicating with shards and adding documents to them
• Leverage Zookeeper alongside SolrCloud to further automate processes
• Utilize the interface to manage error reporting
• Implement load balancing for a SolrCloud installation
• Configure SolrCloud for continuous processing and fail-over capabilities

Audience

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

Format of the course

• Combination 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 acquire practical experience in configuring effective search and indexing capabilities.

The class starts with the basics of Solr installation and configuration, then moves on to teaching attendees the search features offered by Solr. Students will gain proficiency in faceting, indexing, and search relevance, along with other core features of the Solr platform. The course concludes with several advanced topics, including spell checking, suggestions, Multicore, and SolrCloud.

Duration: 3 days

Audience: Developers, business users, administrators