Building Microservices with Go Training Course

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

This instructor-led live training (available online or on-site) is designed for intermediate-level system administrators and DevOps professionals who want to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.

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

• Understand the components and architecture of Confluent Kafka.
• Deploy and manage Kafka brokers, Zookeeper quorums, and key services.
• Configure advanced features including security, replication, and performance tuning.
• Use management tools to monitor and maintain Kafka clusters.

Format of the Course

• Interactive lecture and discussion.
• Extensive 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.

This instructor-led, live training in Brazil (available 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:

• Grasp advanced integration patterns and techniques.
• Implement complex routing and transformations.
• Optimize performance and scalability.
• Manage 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. It covers essential topics such as routing, message transformation, error handling strategies, component connectors, Enterprise Integration Patterns, and transaction management. The course guides developers through practical route configuration, bean wiring, concurrency control, and monitoring techniques. It equips professionals with the skills to design reliable microservice communication layers and streamline data workflows.

This instructor-led, live training in Brazil (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.

Built on Java, Apigee Edge empowers you to offer secure access to your services through a consistent, well-defined API, irrespective of the underlying service implementation. This consistency provides several key advantages:

• Simplifies the consumption of your services for application developers.
• Allows you to modify backend implementations without impacting the public API.
• Enables you to leverage Apigee Edge's integrated features, such as analytics, monetization, and the developer portal.

Target Audience

This course is designed for engineers, architects, and developers who wish to implement 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 designed to operate on Kubernetes, enabling secure, observable, and manageable connections between microservices. By utilizing Istio's Envoy-based sidecar proxies, development 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 on-site, targets intermediate-level engineers looking to deploy, secure, and manage microservices applications using Istio within a Kubernetes environment.

Upon completion of 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 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.

Course Format

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

Customization Options for the Course

• For requests regarding customized training for this course, please contact us to make arrangements.

This instructor-led, live training in Brazil (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 seeking to understand and leverage a high-throughput distributed messaging system. If you have more specific requirements (e.g., focusing solely on system administration), this course can be customized to better suit your needs.

This instructor-led, live training in Brazil (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.

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 Brazil (online or onsite) is directed at developers who aim to use Lumen for building Laravel-based microservices and applications.

By the conclusion of this training, participants will be capable of:

• Setting up the required development environment to initiate microservice development with Lumen.
• Understanding the benefits of utilizing Lumen and PHP for microservices implementation.
• Performing and implementing microservice functions and operations via the Lumen framework.
• Protecting and controlling access to microservice architectures by creating security layers.

In this instructor-led live training held at Brazil, participants will learn the essentials of building microservices using Spring Cloud and Docker. Knowledge is reinforced 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 Brazil (online or onsite) targets 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 in Brazil (online or onsite) targets developers aiming to shift from traditional architectures to a highly concurrent microservices-based model 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.

This instructor-led, live training in Brazil (online or onsite) is designed for 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 launch Traefik using a Docker provider.
• Secure connections with encryption via Let's Encrypt.
• Deploy and attach middleware to a router to transform service requests.
• Monitor Traefik operations using its dashboard.