Building Microservices with Spring Cloud and Docker Training Course

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at engineers who wish to advance their knowledge of Docker so as to deploy applications at a larger scale while maintaining control.

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

• Build their own Docker images.
• Deploy and manager large number of Docker applications .
• Evaluate different container orchestration solutions and choose the most suitable one.
• Set up a continuous integration process for Docker applications.
• Integrate Docker applications with existing continuous tools integration processes.
• Secure their Docker applications.

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

• Build their own Docker images.
• Deploy and manager large number of Docker applications .
• Evaluate different container orchestration solutions and choose the most suitable one.
• Set up a continuous integration process for Docker applications.
• Integrate Docker applications with existing continuous tools integration processes.
• Secure their Docker applications.
• Use Kubernetes to deploy and manage different environments under the same cluster
• Secure, scale and monitor a Kubernetes cluster

Docker is a containerization platform that enables consistent, portable, and reproducible environments for AI and machine learning workloads.

This instructor-led, live training (online or onsite) is designed for intermediate-level professionals who wish to package ML codebases, dependencies, and models using Docker to ensure reliable development-to-production workflows.

After completing this course, participants will be able to:

• Build and manage Docker images specifically tailored for AI and ML applications.
• Containerize machine learning pipelines, tools, and dependencies effectively.
• Optimize Docker environments for enhanced performance and portability.
• Deploy containerized ML services across various runtime environments.

Format of the Course

• Concept demonstrations complemented by guided discussions.
• Hands-on exercises focused on practical containerization tasks.
• Practical implementation using live-lab Docker environments.

Course Customization Options

• To tailor this training to your organizational environment, please contact us to arrange.

CI/CD for AI is a systematic approach to automating the processes of model packaging, testing, containerization, and deployment using continuous integration and continuous delivery pipelines.

This instructor-led, live training (available both online and onsite) is designed for intermediate-level professionals who want to automate end-to-end workflows for delivering AI models using Docker and CI/CD platforms.

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

• Develop automated pipelines for building and testing AI model containers.
• Implement version control and ensure reproducibility throughout the model lifecycle.
• Integrate automated deployment strategies for AI services.
• Apply best practices in CI/CD tailored specifically for machine learning operations.

Format of the Course

• Guided presentations and technical discussions led by an instructor.
• Practical labs and hands-on exercises for implementation.
• Realistic CI/CD workflow simulations conducted in a controlled environment.

Course Customization Options

• If your organization requires customized pipeline workflows or platform integrations, please contact us to tailor this course to your specific needs.

The Certified Kubernetes Administrator (CKA) program was developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).

Kubernetes is currently a leading platform for container orchestration.

NobleProg has been offering Docker and Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most recognized training companies globally in the field of containerization.

Since 2019, we have also been helping our clients validate their performance in k8s environments by preparing them and encouraging them to pass the CKA and CKAD exams.

This instructor-led, live training (online or onsite) is designed for System Administrators and Kubernetes users who wish to confirm their knowledge by passing the CKA exam.

Additionally, the training focuses on gaining practical experience in Kubernetes Administration, so we recommend participating even if you do not plan to take the CKA exam.

Format of the Course

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

Course Customization Options

• To request a customized training for this course, please contact us to arrange.
• To learn more about CKA certification, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The Certified Kubernetes Application Developer (CKAD) program has been developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), which hosts Kubernetes.

This instructor-led, live training (available online or on-site) is designed for Developers who wish to validate their skills in designing, building, configuring, and exposing cloud-native applications for Kubernetes.

Additionally, this training emphasizes gaining practical experience in Kubernetes application development. We highly recommend participating in it, even if you do not plan to take the CKAD exam.

NobleProg has been offering Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most recognized training companies worldwide in the field of containerization. Since 2019, we have also been helping our clients confirm their proficiency in k8s environments by preparing them and encouraging them to pass the CKA and CKAD exams.

Format of the Course

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

Course Customization Options

• To request a customized training for this course, please contact us to arrange.
• To learn more about CKAD, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

Docker is a platform designed for developers and system administrators to manage distributed applications. It includes a runtime environment for running containers and a service for sharing these containers.

With Docker, the same application can run without changes on laptops, dedicated servers, and virtual servers.

This course covers the fundamental use of Docker over the first two days, which is beneficial for both developers and system administrators. The course includes numerous hands-on exercises, allowing participants to practice in their own Docker environment and create their own Docker images.

On the final day, participants will delve into more advanced tools that support Docker, such as Docker Machine, Docker Compose, and Docker Swarm.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at engineers who wish to use Docker to deploy and manage software as containers instead of as traditional stand-alone software.

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

• Install and configure Docker.
• Understand and implement software containerization.
• Managing Docker based applications.
• Network different Docker applications and systems.
• Understand and edit Docker registries.

Docker is a platform designed to help developers and system administrators manage distributed applications. It features a runtime for executing containers and a service for sharing these containers.

With Docker, the same application can run seamlessly on laptops, dedicated servers, and virtual servers without any changes.

This course provides an introduction to the fundamental use of Docker, which is beneficial for both developers and system administrators. The course includes numerous hands-on exercises, allowing participants to practice in their own Docker environment and build their own Docker images over the two days.

This instructor-led, live training in Uzbekistan (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 in Uzbekistan, participants will learn how to evaluate different technologies and approaches for the design of a services-based system architecture. The training begins with a discussion and comparison of monolithic systems and service architectures, then digs into the details of microservice architecture.

Participants are given a chance to put their knowledge into practice as they step through the creation and deployment of a set of proof-of-concept microservices built with Spring Cloud, Spring Boot and Docker.
Finally, the relevant infrastructure building blocks are examined to help participants determine the most suitable tools and approaches to use for different organizational requirements.
By the end of this training, participants will have a solid understanding of Service-Oriented Architecture (SOA) and Microservice Architecture as well practical experience using Spring Cloud and related Spring technologies for rapidly developing their own cloud-scale, cloud-ready microservices.

This instructor-led, live training in Uzbekistan (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.

In this instructor-led, live training in Uzbekistan, we start with a discussion of microservice architecture. Participant knowledge is put to the test through exercises and the step-by-step development of sample microservices.

By the end of this training, participants will have a solid understanding of how to use Spring Cloud and related Spring technologies to rapidly develop their own cloud-scale, cloud-ready microservices.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at developers who wish to transform traditional architecture into a highly concurrent microservices-based architecture 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.

Spring Cloud is an open-source, lightweight microservices framework designed for developing Java applications for cloud environments. Netflix OSS comprises a set of frameworks and libraries that facilitate the development of microservices. Spring Cloud seamlessly integrates with Netflix components through auto-configuration and convention over configuration.

In this instructor-led, live training, participants will gain an understanding of the core concepts involved in building microservices using Spring Cloud and Netflix OSS. The training includes practical exercises and step-by-step development of sample microservices to reinforce participant knowledge.

By the end of this training, participants will have a solid grasp of how to leverage Spring Cloud and related Spring technologies alongside Netflix OSS to quickly develop their own cloud-scale, cloud-ready microservices.

Audience

• Java Developers

Format of the course

• Part lecture, part discussion, with exercises and extensive hands-on practice