Building Microservices with Go Training Course

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 Taiwan (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.

This instructor-led, live training in Taiwan (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.

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 Taiwan (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.

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.

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.

This instructor-led, live training in Taiwan (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 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 Taiwan (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.

This instructor-led, live training in Taiwan (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 Taiwan (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.

In this instructor-led, live training in Taiwan, 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.

This instructor-led live training in Taiwan (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.