Building Microservices with Spring Cloud and Netflix OSS Training Course

This instructor-led, live training in Uzbekistan (online or onsite) is tailored for intermediate-level Java developers aiming 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 in Uzbekistan, participants will learn to evaluate different technologies and approaches for designing a service-based system architecture. The training begins with a discussion and comparison of monolithic systems and service architectures, followed by a detailed exploration of microservice architecture.

Participants will have the chance to put their knowledge into practice by creating and deploying a set of proof-of-concept microservices using Spring Cloud, Spring Boot, and Docker.
Finally, the training will examine relevant infrastructure components to help participants determine the most suitable tools and approaches for their organizational requirements.
By the end of the training, participants will have a solid understanding of Service-Oriented Architecture (SOA) and Microservice Architecture, along with practical experience using Spring Cloud and related Spring technologies to rapidly develop cloud-scale, cloud-ready microservices.

In this instructor-led, live training in Uzbekistan, participants will learn the fundamentals of building microservices using Spring Cloud and Docker. Their knowledge will be tested through hands-on exercises and the step-by-step development of sample microservices.

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

• Understand the core principles 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 Uzbekistan (online or on-site) is designed for 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 conducted in Uzbekistan, we begin with an examination of microservice architecture. Participants will test their knowledge through exercises and the step-by-step development of sample microservices.

By the conclusion of this training, participants will have a firm grasp of how to employ Spring Cloud and associated Spring technologies to quickly develop their own cloud-scale, cloud-ready microservices.

This instructor-led live training in Uzbekistan (online or onsite) is designed for developers who wish to transition from traditional architectures to highly concurrent, microservices-based systems 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.