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.

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.

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

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

• Understand advanced integration patterns and techniques.
• Implement complex routing and transformations.
• Optimize performance and scalability.
• Handle errors and exceptions in complex integration scenarios.
• Integrate Apache Camel with various technologies and platforms.

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

This instructor-led live training in Argentina (online or onsite) is designed for 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.

Built on Java, Apigee Edge allows you to offer secure access to your services through a uniform API that remains consistent across all your services, regardless of their underlying implementation. Maintaining a consistent API:

• Simplifies the process for application developers to consume your services.
• Allows you to modify backend service implementations without impacting the public-facing API.
• Enables you to leverage analytics, monetization, developer portal, and other features inherent to Edge.

Audience

This course is designed for engineers, architects, and developers looking to incorporate 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, enabling secure, observable, and manageable connections between microservices. Utilizing Istio's Envoy-based sidecar proxies, engineering teams can enforce policies, secure communications via mTLS, gain comprehensive traffic visibility, and enhance reliability at scale.

This instructor-led live training, available both online and onsite, targets intermediate-level engineers looking to deploy, secure, and manage microservices applications using Istio within Kubernetes environments.

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

• Installing and configuring Istio on Kubernetes clusters.
• Understanding and applying core service mesh principles, including traffic management, security, and observability.
• Deploying microservices applications within an Istio service mesh.
• Securing inter-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 enhanced security.

Course Format

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

Customization Options

• To request a tailored training program for this course, please contact us to make arrangements.

This instructor-led, live training in Argentina (online or onsite) is aimed at intermediate-level Java developers who wish to design, develop, deploy, and maintain microservices-based applications using Java frameworks like Spring Boot and Spring Cloud.

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

• Understand the principles and benefits of microservices architecture.
• Build and deploy microservices using Java and Spring Boot.
• Implement service discovery, configuration management, and API gateways.
• Secure, monitor, and scale microservices effectively.
• Deploy microservices using Docker and Kubernetes.

This course is designed for enterprise architects, developers, system administrators, and anyone interested in understanding and utilizing high-throughput distributed messaging systems. If you have specific requirements, such as focusing solely on the system administration aspects, the curriculum can be customized to better meet your needs.

This instructor-led, live training in Argentina (online or onsite) is tailored for beginner-level, intermediate-level, and advanced-level system administrators and operations engineers who aim to deploy, secure, monitor, and troubleshoot Apache 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 metrics, and resolve common production issues.

This instructor-led live training in Argentina (online or onsite) targets developers who want 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 held in Argentina, participants will learn the essentials of building microservices using Spring Cloud and Docker. Knowledge is tested through exercises and the step-by-step creation 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 Argentina (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 live, instructor-led training in Argentina (online or onsite) targets developers who aim to transition traditional architectures into a highly concurrent, microservices-based structure using Spring Cloud, Kafka, Docker, Kubernetes, and Redis.

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

• Establish 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 into a microservice-based architecture.
• Adopt a DevOps approach to software development, testing, and release.
• Ensure high concurrency among microservices in production.
• Monitor microservices and implement recovery strategies.
• Carry out performance tuning.
• Learn about future trends in microservices architecture.

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

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

• Configure and launch Traefik via a Docker provider.
• Secure connections by enabling encryption with Let's Encrypt.
• Deploy and link middleware to a router to transform service requests.
• Monitor Traefik's operations using the dashboard.