Building Microservices with Apigee Edge 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 aimed at developers who wish to integrate Apache Kafka with existing databases and applications for processing, analysis, etc.

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

• Use Kafka Connect to ingest large amounts of data from a database into Kafka topics.
• Ingest log data generated by an application servers into Kafka topics.
• Make any collected data available for stream processing.
• Export data from Kafka topics into secondary systems for storage and analysis.

This instructor-led, live training in Taiwan (online or onsite) is aimed at developers who wish to use Axon to build well structured enterprise applications that leverage the power of CQRS and Event Sourcing.

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

• Set up the development environment needed to create an Axon Framework application.
• Implement the CQRS (Command Query Responsibility Segregation) and Event Sourcing architectural patterns to develop complex applications.
• Apply the concepts of Domain Driven Design to their application design.
• Build applications that focus on the business problem instead of the infrastructure.

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.

Envoy Proxy is a high-performance edge and service proxy, originally developed by Lyft, and is now a CNCF project widely adopted in cloud-native infrastructures. Envoy functions as a universal data plane within service mesh architectures, enabling dynamic routing, observability, and Zero Trust security across microservices.

This instructor-led, live training (available online or onsite) targets intermediate-level engineers seeking to deploy, configure, and operate Envoy Proxy for modern microservices and service mesh environments.

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

• Install and configure Envoy Proxy in both standalone and Kubernetes environments.
• Comprehend Envoy’s architecture, including filters, clusters, and listeners.
• Configure traffic management policies such as retries, circuit breaking, and load balancing.
• Secure communication using TLS/mTLS and enforce Zero Trust principles.
• Extend Envoy functionality with WebAssembly (WASM) filters.
• Integrate Envoy with service meshes like Istio and Consul.
• Monitor, trace, and troubleshoot microservice traffic using Envoy’s observability features.

Course Format

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

Course Customization Options

• To request 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 instructor-led, live training in Taiwan (online or onsite) is aimed at developers who wish to use Lumen to build Laravel-based microservices and applications.

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

• Set up the necessary development environment to start developing microservices with Lumen.
• Understand the benefits of implementing microservices using Lumen and PHP.
• Perform and implement the microservices functions and operations using the Lumen framework.
• Protect and control access to the microservices architectures by building security layers.

In this instructor-led, live training in Taiwan, participants will learn to evaluate various technologies and methodologies for designing a service-oriented system architecture. The session begins by discussing and comparing monolithic systems with service architectures, then delves into the intricacies of microservice architecture.

Participants will have the opportunity to apply their knowledge by creating and deploying a set of proof-of-concept microservices using Spring Cloud, Spring Boot, and Docker.
Furthermore, the course examines essential infrastructure components to help participants identify the most appropriate tools and approaches for diverse organizational needs.
Upon completion of this training, participants will possess a robust understanding of Service-Oriented Architecture (SOA) and Microservice Architecture, along with practical experience utilizing Spring Cloud and related Spring technologies to rapidly develop their own cloud-scale, cloud-ready microservices.

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.

In this instructor-led, live training in Taiwan, we begin by discussing microservice architecture. Participants will have their knowledge challenged through exercises and the incremental development of sample microservices.

By the end of this training, participants will have a thorough understanding of how to use Spring Cloud and related Spring technologies to rapidly develop their own cloud-scale, cloud-ready microservices.

This instructor-led, live training in Taiwan (online or onsite) is aimed at developers who wish to transform traditional architecture into a highly concurrent microservices-based architecture using Spring Cloud, Kafka, Docker, Kubernetes and Redis.

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

• Set up the necessary development environment for building microservices.
• Design and implement a highly concurrent microservices ecosystem using Spring Cloud, Kafka, Redis, Docker and Kubernetes.
• Transform monolithic and SOA services to microservice based architecture.
• Adopt a DevOps approach to developing, testing and releasing software.
• Ensure high concurrency among microservices in production.
• Monitor microservices and implement recovery strategies.
• Carry out performance tuning.
• Learn about future trends in microservices architecture.

Spring Cloud is an open-source, lightweight framework designed for building microservices in Java applications for the cloud. Netflix OSS provides a collection of frameworks and libraries to support microservices development. Spring Cloud seamlessly integrates with Netflix components by leveraging auto-configuration and convention over configuration.

In this instructor-led live training, participants will explore the core concepts of building microservices using Spring Cloud and Netflix OSS. Knowledge is reinforced through practical exercises and the step-by-step creation of sample microservices.

By the end of this course, participants will gain a robust understanding of how to leverage Spring Cloud and related Spring technologies alongside Netflix OSS to rapidly develop cloud-scale, cloud-ready microservices.

Audience

• Java Developers

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

This instructor-led live training in Taiwan (online or onsite) is aimed at system administrators and developers who wish to deploy, manage, monitor, and operate microservices using Traefik.

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

• Configure and launch Traefik through a Docker provider.
• Enable secure and encrypted connections using Let's Encrypt.
• Deploy and connect middleware to a router to transform service requests.
• Monitor Traefik operations using the dashboard.