Building Microservices with Spring Cloud and Docker Training Course

This instructor-led, live training in New Zealand (available online or on-site) is designed for engineers who wish to deepen their Docker expertise to deploy applications at scale while maintaining full control.

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

• Build their own Docker images.
• Deploy and manage large numbers of Docker applications.
• Evaluate different container orchestration solutions and select the most suitable one.
• Establish a continuous integration pipeline for Docker applications.
• Integrate Docker applications with existing continuous integration tools and processes.
• Secure their Docker applications.

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

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

Upon completing this course, participants will be able to:

• Build and manage Docker images tailored for AI and ML applications.
• Containerise machine learning pipelines, tools, and dependencies.
• Optimise Docker environments for performance and portability.
• Deploy containerised ML services across different runtime environments.

Course Format

• Concept demonstrations supported by guided discussion.
• Hands-on exercises focused on real-world containerisation tasks.
• Practical implementation using live-lab Docker environments.

Course Customisation Options

• To customise this training for your organisational environment, please contact us to arrange.

CI/CD for AI is a structured approach to automating model packaging, testing, containerisation, and deployment using continuous integration and continuous delivery pipelines.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to automate end-to-end AI model delivery workflows using Docker and CI/CD platforms.

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

• Create automated pipelines for building and testing AI model containers.
• Implement version control and ensure reproducibility throughout model lifecycles.
• Integrate automated deployment strategies for AI services.
• Apply CI/CD best practices tailored to machine learning operations.

Course Format

• Instructor-led presentations and technical discussions.
• Practical labs and hands-on implementation exercises.
• Realistic CI/CD workflow simulations in a controlled environment.

Course Customisation Options

• If your organisation requires customised pipeline workflows or platform integrations, please contact us to tailor this course.

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

Kubernetes is now a leading platform used for container orchestration.

NobleProg has been delivering Docker & Kubernetes training since 2015. With more than 360 successfully completed training projects, we have become one of the best-known training companies worldwide in the field of containerisation.

Since 2019, we have also been helping our customers confirm 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 on-site) is aimed at System Administrators and Kubernetes users who wish to confirm their knowledge by passing the CKA exam.

On the other hand, the training is also focused on gaining practical experience in Kubernetes Administration, so we recommend taking part in it, even if you do not intend to take the CKA exam.

Course Format

• Interactive lecture and discussion.
• Plenty of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

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

The Certified Kubernetes Application Developer (CKAD) programme has been developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the host of Kubernetes.

This instructor-led, live training (online or onsite) is aimed at developers who wish to confirm their skills in designing, building, configuring, and exposing cloud-native applications for Kubernetes.

Furthermore, the training is also focused on gaining practical experience in Kubernetes application development, so we recommend taking part even if you do not intend to sit the CKAD exam.

NobleProg has been delivering Docker & Kubernetes training since 2015. With more than 360 successfully completed training projects, we have become one of the best-known training companies worldwide in the field of containerisation. Since 2019, we have also been helping our customers confirm their performance in k8s environments by preparing them and encouraging them to pass CKA and CKAD exams.

Course Format

• Interactive lecture and discussion.
• Abundant exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

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

Docker is a platform designed for developers and system administrators to build, deploy, and maintain distributed applications. It includes a runtime environment for executing containers and a service for sharing them.

With Docker, the same application can run unmodified across laptops, dedicated servers, and virtual servers.

This course, spanning the first two days, covers the fundamental usage of Docker, providing valuable skills for both developers and system administrators. The course features numerous hands-on exercises, allowing participants to practice within their own Docker environments and create their own Docker images.

On the final day, participants will explore more advanced tools that integrate with Docker, including Docker Machine, Docker Compose, and Docker Swarm.

This instructor-led, live training in New Zealand (available online or on-site) is tailored for engineers who wish to adopt Docker to deploy and manage software as containers, rather than as traditional stand-alone applications.

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

• Install and configure Docker.
• Understand and implement software containerisation.
• Manage Docker-based applications.
• Network different Docker applications and systems.
• Understand and work with Docker registries.

Docker is a platform designed for developers and system administrators to maintain distributed applications. It comprises a runtime for executing containers and a service for sharing them.

With Docker, the same application can run unchanged on laptops, dedicated servers, and virtual servers.

This course covers the fundamentals of Docker, making it valuable for both developers and system administrators. It includes numerous hands-on exercises, allowing participants to practice within their own Docker environments and build their own Docker images over the two-day period.

This instructor-led, live training in New Zealand (available online or on-site) is designed for DevOps engineers who wish to optimise and streamline their CI/CD workflows using Docker and Jenkins.

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

• Automate code delivery and pipeline deployment using Jenkins.
• Build applications with Docker and Dockerfiles.
• Configure authentication options to enhance security.

This instructor-led, live training in New Zealand (online or onsite) is designed for intermediate-level Java developers who wish to design, develop, deploy, and maintain microservices-based applications using Java frameworks such as Spring Boot and Spring Cloud.

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

• Understand the core 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 effectively scale microservices.
• Deploy microservices using Docker and Kubernetes.

In this instructor-led, live training in New Zealand, participants will learn how to evaluate various technologies and approaches for designing a services-based system architecture. The course begins with a discussion and comparison of monolithic systems and service architectures, before delving into the intricacies of microservice architecture.

Participants will have the opportunity to apply their knowledge by stepping through the creation and deployment of a set of proof-of-concept microservices built using Spring Cloud, Spring Boot, and Docker.
Finally, key infrastructure building blocks will be examined to assist participants in selecting the most appropriate tools and approaches for their organisation's specific requirements.
By the end of this training, participants will possess a solid understanding of Service-Oriented Architecture (SOA) and Microservice Architecture, along with practical experience in using Spring Cloud and related Spring technologies to rapidly develop their own cloud-scale, cloud-ready microservices.

This instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level developers and DevOps engineers who aspire to build, deploy, and manage microservices using Spring Cloud and Docker.

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

• Develop microservices leveraging Spring Boot and Spring Cloud.
• Containerise applications using Docker and Docker Compose.
• Implement service discovery, API gateways, and inter-service communication.
• Monitor and secure microservices within production environments.
• Deploy and orchestrate microservices using Kubernetes.

In this instructor-led, live training in New Zealand, we begin by exploring microservice architecture. Participants will apply their knowledge through practical exercises and the step-by-step development of sample microservices.

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

This instructor-led, live training in New Zealand (available online or on-site) is tailored for developers aiming to transform traditional architectures into highly concurrent, microservices-based systems using Spring Cloud, Kafka, Docker, Kubernetes, and Redis.

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

• Establish the essential development environment required for building microservices.
• Design and implement a highly concurrent microservices ecosystem leveraging Spring Cloud, Kafka, Redis, Docker, and Kubernetes.
• Migrate monolithic and SOA-based services to a microservices architecture.
• Embrace a DevOps approach to software development, testing, and deployment.
• Ensure high concurrency across microservices in production environments.
• Monitor microservices and implement effective recovery strategies.
• Perform performance tuning.
• Explore emerging trends in microservices architecture.

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

In this instructor-led, live training, participants will explore the fundamental concepts of building microservices using Spring Cloud and Netflix OSS. Knowledge will be reinforced through hands-on 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 leverage Spring Cloud and related Spring technologies alongside Netflix OSS to rapidly develop their own cloud-scale, cloud-ready microservices.

Audience

• Java Developers

Format of the course

• A blend of lecture, discussion, exercises, and extensive hands-on practice