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 equipped to:

• Comprehend 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.

Course Format

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

Course Customization Options

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

This instructor-led live training, conducted South Korea (online or onsite), targets developers, integration architects, and system administrators aiming to master advanced integration patterns and techniques using Apache Camel.

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

• Comprehend advanced integration patterns and methodologies.
• Develop complex routing and data transformation logic.
• Enhance system performance and scalability.
• Manage errors and exceptions within complex integration environments.
• Seamlessly integrate Apache Camel with diverse technologies and platforms.

Apache Camel provides a powerful framework for enterprise application integration and message routing. This course covers essential topics such as routing mechanisms, message transformation, error handling strategies, component connectors, Enterprise Integration Patterns (EIPs), and transaction management. Developers will learn practical techniques for configuring route definitions, wiring beans, managing concurrency, and implementing monitoring solutions. The training enables practitioners to build reliable microservice communication layers and optimize data workflows.

This instructor-led live training in South Korea (online or onsite) is targeted at developers who wish to learn how to build, test, debug, and deploy an API on 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.

Built on Java, Apigee Edge allows you to offer secure access to your services through a consistent, well-defined API, regardless of the underlying service implementation. A consistent API:

• Simplifies service consumption for application developers.
• Allows you to modify backend service implementations without impacting the public API.
• Enables you to leverage built-in features such as analytics, monetization, and the developer portal.

Audience

This course is designed for engineers, architects, and developers who wish to integrate Apigee Edge into 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 designed to operate on Kubernetes, facilitating secure, observable, and manageable connections among microservices. By utilizing Istio's Envoy-based sidecar proxies, teams can enforce policies, secure communications via mTLS, gain deep traffic insights, and enhance reliability at scale.

This instructor-led live training, available online or onsite, targets intermediate-level engineers aiming 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.
• Grasping and applying service mesh concepts such as traffic management, security, and observability.
• Deploying microservices applications within an Istio service mesh environment.
• Securing service-to-service communications using 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 measures.

Course Format

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

Course Customization Options

• For customized training requests, please contact us to arrange.

This instructor-led, live training in South Korea (online or onsite) is designed for intermediate Java developers aiming to design, develop, deploy, and maintain microservices-based applications using Java frameworks such as Spring Boot and Spring Cloud.

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

• Comprehend the fundamental principles and advantages of microservices architecture.
• Build and deploy microservices using Java and Spring Boot.
• Implement service discovery, configuration management, and API gateways.
• Effectively secure, monitor, and scale microservices.
• Deploy microservices using Docker and Kubernetes.

This course is designed for enterprise architects, developers, and system administrators, as well as anyone seeking to understand and implement high-throughput distributed messaging systems. While the curriculum covers broad technical aspects, it can be customized to focus on specific areas, such as system administration, to better align with your unique requirements.

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

By the end 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 South Korea (online or onsite) is aimed at intermediate-level developers who wish to develop big data applications with Apache Kafka.

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

• Develop Kafka producers and consumers to send and read data from Kafka.
• Integrate Kafka with external systems using Kafka Connect.
• Write streaming applications with Kafka Streams & ksqlDB.
• Integrate a Kafka client application with Confluent Cloud for cloud-based Kafka deployments.
• Gain practical experience through hands-on exercises and real-world use cases.

This instructor-led live training, offered online or onsite, is designed for developers aiming to utilize Lumen for constructing Laravel-based microservices and applications.

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

• Set up the necessary development environment to begin 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 conducted in South Korea, participants will learn the foundational aspects of constructing microservices using Spring Cloud and Docker. Knowledge is reinforced through exercises and the step-by-step creation of sample microservices.

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

• Understand the core principles of microservices.
• Employ Docker to build containers for microservice applications.
• Develop and deploy containerized microservices using Spring Cloud and Docker.
• Integrate microservices with service discovery tools and the Spring Cloud API Gateway.
• Apply Docker Compose for thorough end-to-end integration testing.

This instructor-led, live training in South Korea (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to build, deploy, and manage microservices using Spring Cloud and Docker.

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

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

This instructor-led live training at South Korea (online or onsite) targets system administrators and developers aiming to deploy, manage, monitor, and operate microservices using Traefik.

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

• Configure and start Traefik using a Docker provider.
• Establish secure and encrypted connections with Let's Encrypt.
• Deploy and link middleware to a router to modify service requests.
• Track Traefik's performance via the dashboard.