Building Microservices with Spring Cloud and Netflix OSS Training Course

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.

In this instructor-led live training held in Brazil, participants will learn how to assess various technologies and approaches for designing service-based system architectures. The training starts with a comparative discussion of monolithic systems and service architectures, followed by a detailed examination of microservice architecture.

Participants will have the opportunity to apply their knowledge by walking through the creation and deployment of proof-of-concept microservices built using Spring Cloud, Spring Boot, and Docker.
Additionally, relevant infrastructure building blocks will be analyzed to help participants identify the most suitable tools and approaches for diverse organizational requirements.
By the end of this training, participants will gain a solid grasp of Service-Oriented Architecture (SOA) and Microservice Architecture, alongside practical experience using Spring Cloud and related Spring technologies to rapidly develop cloud-scale, cloud-ready microservices.

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.

In this instructor-led, live training in Brazil, we start with an exploration of microservice architecture. Participants will have their knowledge tested via practical exercises and the step-by-step construction of sample microservices.

Upon completing this training, participants will possess a robust understanding of how to utilize Spring Cloud and associated Spring technologies to swiftly develop their own cloud-scale, cloud-ready microservices.

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.