Microservices Training in Taichung

Confluent Apache Kafka is an enterprise-grade distributed event streaming platform built on Apache Kafka. It supports high-throughput, fault-tolerant data pipelines and real-time streaming applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers and administrators who wish to deploy, configure, and optimize Confluent Kafka clusters in production environments.

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

• Install, configure, and operate Confluent Kafka clusters with multiple brokers.
• Design high-availability setups using Zookeeper and replication techniques.
• Tune performance, monitor metrics, and apply recovery strategies.
• Secure, scale, and integrate Kafka with enterprise environments.

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.

Confluent Apache Kafka is a distributed event streaming platform engineered for high-throughput, fault-tolerant data pipelines and real-time analytics.

This instructor-led live training (available online or onsite) targets intermediate-level system administrators and DevOps professionals seeking to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.

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

• Grasp the components and architecture of Confluent Kafka.
• Deploy and manage Kafka brokers, Zookeeper quorums, and essential services.
• Configure advanced features such as security, replication, and performance tuning.
• Utilize management tools to monitor and maintain Kafka clusters.

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in Taichung (online or onsite) is designed for intermediate-level Java developers who wish to integrate Apache Kafka into their applications to achieve reliable, scalable, and high-throughput messaging.

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

• Comprehend the architecture and core components of Kafka.
• Set up and configure a Kafka cluster.
• Produce and consume messages using Java.
• Implement Kafka Streams for real-time data processing.
• Ensure fault tolerance and scalability in Kafka applications.

This instructor-led, live training in Taichung (online or onsite) is designed for intermediate to advanced developers, DevOps professionals, and architects who wish to design, deploy, and manage resilient applications using microservices, containers, and continuous integration/continuous deployment (CI/CD) pipelines.

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

• Understand and implement microservices architecture.
• Deploy and manage containerized applications with Docker and Kubernetes.
• Set up and optimize CI/CD pipelines for automated deployments.
• Apply best practices for security, monitoring, and observability.

This instructor-led, live training in Taichung (online or onsite) is aimed at advanced-level platform engineers and DevOps professionals who wish to master scaling applications using microservices and Kubernetes.

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

• Design and implement scalable microservices architectures.
• Deploy and manage applications on Kubernetes clusters.
• Utilize Helm charts for efficient service deployment.
• Monitor and maintain the health of microservices in production.
• Apply best practices for security and compliance in a Kubernetes environment.

This instructor-led, live training in Taichung (online or onsite) is designed for intermediate-level Java developers who aspire to design, develop, deploy, and maintain microservices-based applications utilizing Java frameworks such as Spring Boot and Spring Cloud.

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

• Grasping the principles and advantages of microservices architecture.
• Constructing and deploying microservices using Java and Spring Boot.
• Implementing service discovery, configuration management, and API gateways.
• Effectively securing, monitoring, and scaling microservices.
• Deploying microservices utilizing Docker and Kubernetes.

This instructor-led, live training in Taichung (online or onsite) is aimed at experienced developers who wish to build, deploy, and scale applications using microservices built with NodeJS and React.

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

• Develop, deploy, and scale applications using different microservices.
• Build a server-side rendered React application.
• Deploy multi-service apps to the cloud using Docker and Kubernetes.
• Perform application testing on microservices.

This instructor-led, live training in Taichung (online or onsite) is designed for developers, integration architects, and system administrators who wish to master advanced integration patterns and techniques using Apache Camel.

Upon completing this training, participants will be capable of:

• Grasping advanced integration patterns and techniques.
• Executing complex routing and data transformations.
• Enhancing performance and scalability.
• Managing errors and exceptions within intricate integration scenarios.
• Integrating Apache Camel with various technologies and platforms.

This instructor-led, live training in Taichung (online or onsite) is designed for intermediate-level developers seeking to build big data applications with Apache Kafka.

Upon completing this training, participants will be capable of:

• Developing Kafka producers and consumers to transmit and retrieve data from Kafka.
• Integrating Kafka with external systems via Kafka Connect.
• Creating streaming applications using Kafka Streams & ksqlDB.
• Connecting a Kafka client application to Confluent Cloud for cloud-based Kafka deployments.
• Gaining practical experience through hands-on exercises and real-world use cases.

This instructor-led, live training in Taichung (available online or onsite) is tailored for intermediate to advanced developers seeking to master the development of microservices using Spring Boot, Docker, and Kubernetes.

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

• Comprehend microservices architecture principles.
• Build production-ready microservices using Spring Boot.
• Understand the critical role of Docker in containerizing microservices.
• Configure Kubernetes clusters to deploy and orchestrate microservices.

This instructor-led live training in Taichung (online or onsite) targets intermediate-level developers and DevOps engineers aiming to build, deploy, and manage microservices using Spring Cloud and Docker.

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

• Develop microservices utilizing Spring Boot and Spring Cloud.
• Containerize applications using Docker and Docker Compose.
• Implement service discovery, API gateways, and inter-service communication.
• Monitor and secure microservices within production environments.
• Deploy and orchestrate microservices using Kubernetes.

This instructor-led, live training in Taichung (online or onsite) is aimed at intermediate-level to advanced-level developers and architects who wish to develop Java native applications and microservices using Quarkus with optimized memory usage and startup time.

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

• Develop high-performance, lightweight Java native applications using Quarkus.
• Build and deploy RESTful services and microservices architectures.
• Use GraalVM for native compilation and optimize startup and memory efficiency.
• Package and containerize applications for Kubernetes and OpenShift environments.

Explore RabbitMQ, the open-source message broker that powers reliable, high-throughput distributed systems globally. This course covers fundamental AMQP protocol concepts, message routing strategies, cluster configuration, and high-availability setups. Participants will learn to administer queues, configure mirrored workloads, implement load-balanced failover, and secure exchanges, while also integrating with the REST API and management plugins. The goal is to build confidence in deploying production-grade messaging infrastructures on Linux.

This instructor-led live training in Taichung (online or onsite) is aimed at software architects and web developers who wish to use RabbitMQ as a messaging middle-ware and program in Java using Spring to build applications.

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

• Use Java and Spring with RabbitMQ to build applications.
• Design asynchronous message driven systems using RabbitMQ.
• Create and apply queues, topics, exchanges, and bindings in RabbitMQ

In this instructor-led live training in Taichung, participants will learn how to install, configure, and administer RabbitMQ, then integrate RabbitMQ messaging into several sample .NET applications.

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

• Set up, configure, and manage RabbitMQ.
• Understand RabbitMQ's role in the design and implementation of a microservices architecture.
• Understand how RabbitMQ compares to other Message Queuing Architectures.
• Set up and use RabbitMQ as a broker for handling asynchronous and synchronous messages for real-world enterprise .NET applications.

This instructor-led, live training in Taichung (online or onsite) is designed for developers and software engineers who wish to use RabbitMQ to communicate between microservices through messaging and perform advanced implementation and troubleshooting.

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

• Set up the necessary environment to start developing advanced messaging solutions with RabbitMQ.
• Understand how to design a distributed microservices architecture with RabbitMQ.
• Learn how to implement advanced configuration, security, networking, high availability, and replication.
• Know the common issues encountered in RabbitMQ installations and how to resolve them.
• Learn about memory optimization, flow control, and advanced performance tuning.
• Apply some advanced troubleshooting techniques.

Istio is an open-source service mesh that operates on Kubernetes, facilitating secure, observable, and manageable connectivity among microservices. By utilizing Istio's Envoy-based sidecar proxies, teams can enforce policies, secure communications through mTLS, gain deep insights into traffic patterns, and enhance reliability at scale.

This instructor-led, live training (available online or onsite) is designed for intermediate-level engineers who aim to deploy, secure, and manage microservices applications using Istio on Kubernetes.

Upon completing this training, participants will be capable of:

• Installing and configuring Istio on Kubernetes clusters.
• Understanding and applying service mesh concepts, including traffic management, security, and observability.
• Deploying microservices applications within an Istio service mesh.
• Securing service-to-service communications with mutual TLS (mTLS) and Zero Trust principles.
• Monitoring, tracing, and troubleshooting microservices using Prometheus, Grafana, and Jaeger.
• Integrating Istio with Calico for advanced network policies and security.

Course Format

• 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.

In this instructor-led live training in Taichung (online or onsite), participants will learn how to decouple a Python application and integrate it with the RabbitMQ messaging system to build distributed cloud applications or microservices.

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

• Set up, configure, and manage RabbitMQ.
• Understand RabbitMQ's role in the design and implementation of microservice architecture.
• Compare RabbitMQ with other message queuing architectures.
• Configure and use RabbitMQ as a broker for handling both asynchronous and synchronous messages in real-world Python applications.

Apache Camel provides a powerful framework for enterprise application integration and message routing. This course explores essential concepts such as routing, message transformation, error handling strategies, component connectors, Enterprise Integration Patterns (EIPs), and transaction management. It guides developers through practical configuration of route definitions, bean wiring, concurrency control, and monitoring techniques, empowering them to design reliable microservice communication layers and streamline data workflows.

This instructor-led, live training in Taichung (online or onsite) is aimed at developers who wish to learn how to build, test, debug and deploy an API on top of Google Cloud's Apigee API Platform.

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

• Set up a development environment that includes all needed resources to start developing an API.
• Understand and implement the tools available within Apigee Edge.
• Build and deploy an API to Google Cloud.
• Monitor and debug API errors.
• Leverage Google Cloud's analytics and machine learning solutions to make APIs more intelligent.

Apigee Edge, developed on Java, allows you to deliver secure access to your services through a well-defined API that remains consistent across all services, irrespective of the underlying implementation. A uniform API:

• Simplifies service consumption for app developers.
• Permits changes to backend service implementations without impacting the public API.
• Enables you to leverage analytics, monetization, developer portal, and other features integrated into Edge.

Audience

This course is designed for engineers, architects, and developers who aim to utilize Apigee Edge in their projects.

This course offers a comprehensive, hands-on journey through the design, construction, and operation of cloud-native microservices. Emphasizing practical implementation over theoretical concepts, it guides participants from domain modeling and service design through to deployment, observability, and resilience in production environments.

Participants will engage in building a real-world microservices architecture, learning to avoid common pitfalls like distributed monoliths while adopting best practices for scalability, maintainability, and operational excellence.

This instructor-led, live training in Taichung (online or onsite) is aimed at system administrators and MQ administrators who wish to master advanced configuration, security, clustering, high availability, and troubleshooting of IBM MQ 9.4 in distributed deployments.

This course is designed for enterprise architects, developers, and system administrators, as well as anyone interested in learning how to implement and utilize high-throughput distributed messaging systems. If you have specific learning objectives (such as focusing solely on system administration aspects), the course content can be customized to better fit your requirements.

This instructor-led live training in Taichung (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level system administrators and operations engineers who wish to use Apache Kafka to deploy, secure, monitor, and troubleshoot Kafka clusters.

Upon completion of this training, participants will be able to: explain Kafka architecture and KRaft mode, operate and secure Kafka clusters, monitor performance and reliability, and resolve common production issues.

In this instructor-led, live training held in Taichung, participants will learn how to construct microservices using Go (Golang) and Spring Cloud.

This instructor-led, live training in Taichung (online or onsite) targets intermediate-level software developers, system architects, and DevOps professionals who wish to build scalable and maintainable applications using a microservices architecture.

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

• Comprehend the core principles of microservice architecture.
• Design and deploy scalable microservice-based systems.
• Apply design patterns and best practices specific to microservices.
• Implement event-driven patterns such as CQRS and event sourcing.
• Tackle challenges related to system operations and microservices adoption.

In this instructor-led, live training in Taichung, participants will learn the fundamentals of building microservices using Spring Cloud and Docker. Participant knowledge will be assessed through exercises and the step-by-step development of sample microservices.

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

• Understand the fundamentals of microservices.
• Use Docker to build containers for microservice applications.
• Build and deploy containerized microservices using Spring Cloud and Docker.
• Integrate microservices with discovery services and the Spring Cloud API Gateway.
• Use Docker Compose for end-to-end integration testing.

In this instructor-led, live training in Taichung, participants will learn the features, concepts, and standards behind WSO2 API Manager. Theory will be coupled with live hands-on practice and implementation throughout the training. By the end of the course, participants will have the knowledge and practice to deploy their own APIs using the core features of WSO2 API Manager.