Search Engines Training in Taichung

Elastic Stack (ELK) is a robust platform designed for real-time searching, analyzing, and visualizing log data from various sources.

This instructor-led, live training (available online or on-site) is tailored for intermediate IT professionals looking to enhance their ELK skills in managing distributed log data, automating alerts, and creating sophisticated visualizations and dashboards.

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

• Configure advanced ingestion and parsing workflows from multiple sources, including databases.
• Design customized Kibana dashboards for different teams or specific use cases.
• Set up email notifications and condition-based alerts.
• Utilize regular expressions to enhance search accuracy in logs.
• Manage user roles and access rights to ensure secure log environments.
• Interact with the Elasticsearch REST API for automation and integration purposes.

Format of the Course

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

Course Customization Options

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

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

This instructor-led, live training (available online or on-site) is targeted at advanced-level engineers and architects who aim to design, deploy, and manage OpenSearch clusters capable of handling large-scale data ingestion and analytics tasks, 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 various environments.
• Optimize indexing, search, and storage for optimal performance at scale.
• Integrate OpenSearch with AWS OpenSearch Service for hybrid and managed deployment options.
• Implement observability, high availability, and automated recovery strategies.

Format of the Course

• Instructor-led theoretical sessions with guided discussions.
• Extensive hands-on exercises simulating real-world scaling challenges.
• Practical lab work focusing on distributed deployment and performance tuning.

Course Customization Options

• This course can be tailored to align with your organization’s data size, performance objectives, and deployment environment.

This instructor-led, live training in Taichung (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.

OpenSearch is an open-source search and analytics suite that originated from Elasticsearch 7.10 and Kibana 7.10. It was developed by AWS to provide a fully open alternative following licensing changes made by Elastic NV.

This instructor-led, live training (available both online and onsite) is designed for intermediate-level engineers and architects who aim to deploy, configure, and manage OpenSearch clusters for search, observability, and analytics tasks. Participants will also gain insights into its relationship with AWS OpenSearch Service.

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

• Grasp the architecture, components, and capabilities of OpenSearch and its dashboards.
• Set up and configure OpenSearch clusters both 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 paired with live demonstrations.
• Hands-on labs and real-world configuration exercises.
• Collaborative discussions centered 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 contact us to arrange a customized session.

This instructor-led, live training in Taichung 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 Taichung (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 Taichung (onsite or remote) is aimed at developers who wish to know 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 monitor log files.
• Integrate index and query time plugins.
• Create optimized clusters that handle thousands of queries per second.

This instructor-led, live training in Taichung (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 Taichung (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 Taichung is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana). Note that a minimum of 3 delegates is needed for this course to run.

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 training introduces Kibana to users of Elasticsearch.

Kibana is an open-source analytics and visualization platform designed to work seamlessly with Elasticsearch. With Kibana, you can search, view, and interact with data stored in Elasticsearch indices. It allows you to perform advanced data analysis effortlessly and visualize your data through a variety of charts, tables, and maps.

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

This instructor-led, live training in Taichung (online or onsite) is aimed at web developers who wish to use regular expressions to create robust algorithms for defining search patterns.

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

• Write complex search patterns using character sets.
• Apply regular expression techniques to any regex engine like PHP, Python, etc.
• Script automation into a system process using extended regular expressions.

Apache SolrCloud is a distributed data processing engine designed to facilitate searching and indexing of files across a networked environment.

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 the features of SolrCloud and how they compare to traditional master-slave clusters
• Set up a centralized SolrCloud cluster
• Automate tasks such as communication with shards and adding documents to them
• Use Zookeeper in conjunction with SolrCloud to further automate processes
• Manage error reporting through the interface
• 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 extensive hands-on practice

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

The class starts with basic Solr installation and configuration, then delves into the platform's search features. Students will explore facets such as faceting, indexing, and search relevance, among other core functionalities of Solr. The course concludes with advanced topics like spell checking, suggestions, Multicore, and SolrCloud.

Duration: 3 days

Audience: Developers, business users, administrators