Building Microservices with Spring Cloud and Docker Training Course

This instructor-led, live training in Malaysia (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.

Docker serves as a containerization platform that provides consistent, portable, and reproducible environments for artificial intelligence and machine learning workloads.

This instructor-led live training, available either online or onsite, is designed for intermediate-level professionals looking to package ML codebases, dependencies, and models using Docker to ensure reliable workflows from development to production.

Upon completing this course, participants will be able to:

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

Course Format

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

Customization Options

• To tailor this training to your organization's specific environment, please contact us to arrange.

CI/CD for AI represents a systematic methodology for automating the packaging, testing, containerization, and deployment of machine learning models through continuous integration and delivery pipelines.

This instructor-led live training, available in online or onsite formats, targets intermediate-level professionals seeking to automate end-to-end AI model delivery workflows leveraging Docker and CI/CD platforms.

Upon completion of this training, participants will be equipped to:

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

Course Format

• Instructor-guided presentations coupled with technical discussions.
• Practical labs and hands-on implementation exercises.
• Realistic CI/CD workflow simulations conducted within a controlled environment.

Course Customization Options

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

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

Kubernetes has emerged as the premier platform for container orchestration.

NobleProg has been delivering Docker and Kubernetes training since 2015. With over 360 successfully completed training projects, we have established ourselves as one of the leading training providers globally in the field of containerization.

Since 2019, we have also supported our clients in validating their proficiency in Kubernetes environments by preparing them and encouraging them to take the CKA and CKAD exams.

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

Additionally, the training focuses on gaining practical experience in Kubernetes Administration; therefore, we recommend participation even if you do not intend to sit for the CKA exam.

Course Format

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

Course Customization Options

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

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

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

Additionally, the training focuses on gaining practical experience in Kubernetes application development. Therefore, we recommend participating even if you do not intend to take 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 most renowned training companies globally in the field of containerization. Since 2019, we have also assisted our customers in validating their performance in the k8s environment by preparing them and encouraging them to pass the CKA and CKAD exams.

Course Format

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

Course Customization Options

• To request customized training 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 serves as a comprehensive platform enabling developers and system administrators to effectively manage distributed applications. It comprises a runtime engine for executing containers alongside a service designed for container distribution and sharing.

By leveraging Docker, applications can be deployed without modification across various environments, including personal laptops, dedicated servers, and virtual machines.

This course covers the fundamental usage of Docker over the first two days, offering valuable insights for both developers and IT operations professionals. The curriculum is heavily focused on practical application, featuring numerous hands-on exercises where participants will configure their own Docker environments and construct custom Docker images.

In the final day, attendees will explore advanced tooling that extends Docker's capabilities, specifically focusing on Docker Machine, Docker Compose, and Docker Swarm.

This instructor-led, live training in Malaysia (online or onsite) is designed for engineers who want to use Docker to deploy and manage software as containers instead of as traditional standalone software.

Upon completing this training, participants will be capable of:

• Installing and configuring Docker.
• Understanding and implementing software containerization.
• Managing Docker-based applications.
• Networking distinct Docker applications and systems.
• Understanding and editing Docker registries.

Docker serves as a platform for developers and system administrators to manage distributed applications. It includes a runtime for executing containers and a service for sharing containers.

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

This course covers the fundamental usage 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 create their own Docker images over the two-day period.

This instructor-led live training in Malaysia (online or onsite) is aimed at DevOps engineers who wish to optimize and simplify the CI/CD process with Docker and Jenkins.

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

• Automate code delivery and pipeline deployment with Jenkins.
• Build an application using Docker and Docker File.
• Configure authentication options to strengthen security.

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

Upon completing this training, participants will be able to:

• Grasp the principles and advantages of microservices architecture.
• Construct and deploy microservices using Java and Spring Boot.
• Implement service discovery, configuration management, and API gateways.
• Effectively secure, monitor, and scale microservices.
• Deploy microservices using Docker and Kubernetes.

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

Participants have the chance to put their knowledge into practice by creating and deploying a set of proof-of-concept microservices built with Spring Cloud, Spring Boot, and Docker.
Furthermore, relevant infrastructure building blocks are examined to help participants determine the most suitable tools and approaches 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 as 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 Malaysia (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 at Malaysia, we start by discussing microservice architecture. Participants' knowledge is assessed through exercises and the incremental development of sample microservices.

Upon completing this training, participants will possess a thorough understanding of how to employ Spring Cloud and related Spring technologies to rapidly develop their own cloud-scale, cloud-ready microservices.

This instructor-led, live training in Malaysia (online or onsite) is tailored for developers who aim to transition from traditional architecture to a highly concurrent microservices-based architecture by leveraging Spring Cloud, Kafka, Docker, Kubernetes, and Redis.

Upon completion of this training, participants will be able to:

• Establish the necessary development environment for building microservices.
• Design and implement a highly concurrent microservices ecosystem utilizing Spring Cloud, Kafka, Redis, Docker, and Kubernetes.
• Transform monolithic and SOA services into a microservice-based architecture.
• Adopt a DevOps approach to software development, testing, and release processes.
• Ensure high concurrency among microservices in production environments.
• Monitor microservices and implement effective recovery strategies.
• Conduct performance tuning.
• Gain insights into future trends in microservices architecture.

Spring Cloud is an open-source, lightweight microservices framework designed for building Java applications in the cloud. Netflix OSS comprises a collection of frameworks and libraries specifically for developing microservices. Spring Cloud integrates seamlessly with Netflix components by leveraging auto-configuration and convention over configuration.

In this instructor-led live training, participants will grasp the core concepts of constructing microservices using Spring Cloud and Netflix OSS. Participant knowledge will be validated through practical exercises and the step-by-step creation of sample microservices.

By the conclusion of this training, participants will possess a robust understanding of how to utilize Spring Cloud and related Spring technologies alongside Netflix OSS to rapidly develop their own cloud-scale and cloud-ready microservices.

Audience

• Java Developers

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice