Containers and Virtual Machines (VMs) Training in Ho Chi Minh City

Edge AI represents a strategic approach to executing machine learning inference near data sources, ensuring low-latency, high-efficiency, and scalable processing capabilities.

This instructor-led, live training program—available either online or onsite—is designed for intermediate to advanced professionals seeking to deploy, orchestrate, and optimize AI workloads within Kubernetes-based edge environments.

Upon completing this course, participants will be equipped to:

• Establish lightweight Kubernetes distributions specifically tailored for edge deployments.
• Effectively deploy AI inference workloads across resource-constrained edge nodes.
• Navigate connectivity challenges and implement robust synchronization patterns.
• Optimize performance, storage, and networking for practical edge scenarios.

Course Format

• Guided presentations enriched with real-world case studies.
• Scenario-based labs and practical exercises focused on edge deployment.
• Hands-on experience utilizing various Kubernetes edge frameworks.

Customization Options

• For customized training tailored to your specific edge platform requirements, please reach out to us to discuss arrangements.

Kubernetes serves as a leading container orchestration platform for managing distributed applications on a large scale.

Designed for advanced practitioners, this instructor-led training (available online or onsite) focuses on leveraging AI and machine learning techniques to refine resource usage, scheduling decisions, and autoscaling strategies within Kubernetes environments.

Upon completing this program, participants will be equipped to:

• Leverage AI/ML models to enhance workload scheduling precision in Kubernetes.
• Utilize predictive analytics to fine-tune CPU, GPU, and memory allocation.
• Deploy intelligent autoscaling mechanisms through reinforcement learning and metric forecasting.
• Lower infrastructure costs and reduce latency via automated resource optimization.

Course Structure

• Instructor-led technical presentations and in-depth discussions.
• Practical lab work conducted on live Kubernetes clusters.
• Hands-on exercises applying AI models to realistic operational scenarios.

Customization Possibilities

• We can tailor the curriculum to align with your specific platform setup or operational needs; please reach out for personalized adjustments.

MLOps on Kubernetes provides a framework for automating the training, validation, packaging, and deployment of machine learning models through containerized pipelines and GitOps workflows.

This instructor-led live training (available online or onsite) is designed for intermediate-level practitioners looking to build automated, scalable MLOps pipelines on Kubernetes.

Upon completing this training, participants will be able to:

• Design end-to-end CI/CD pipelines tailored for machine learning.
• Implement GitOps workflows for model deployment and versioning.
• Automate the training, testing, and packaging of ML models.
• Integrate monitoring, alerting, and rollback strategies.

Course Format

• Instructor-guided presentations and technical deep dives.
• Hands-on exercises designed to build real-world CI/CD workflows.
• Live-lab practice for deploying ML workloads to Kubernetes.

Course Customization Options

• Organizations may request tailored content aligned with their internal MLOps tools and infrastructure.

Kubeflow is an open-source platform designed to streamline building, training, and deploying machine learning workloads on Kubernetes.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to build reliable ML workflows using Kubeflow.

Upon completion of this training, attendees will gain the skills to:

• Navigate the Kubeflow ecosystem and core components.
• Build reproducible workflows with Kubeflow Pipelines.
• Run scalable training jobs on Kubernetes.
• Serve machine learning models efficiently using Kubeflow Serving.

Format of the Course

• Guided presentations and collaborative discussions.
• Hands-on labs with real Kubeflow components.
• Practical exercises to build end-to-end ML workflows.

Course Customization Options

• Customized versions of this training can be arranged to align with your team’s technology stack and project requirements.

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

This instructor-led live training, available online or on-site, targets intermediate professionals aiming to streamline end-to-end AI model delivery workflows using Docker and CI/CD platforms.

Upon completing the training, participants will be equipped to:

• Establish automated pipelines for building and testing AI model containers.
• Enforce version control and reproducibility throughout model lifecycles.
• Incorporate automated deployment strategies for AI services.
• Apply CI/CD best practices specifically adapted for machine learning operations.

Course Format

• Guided presentations and technical discussions led by the instructor.
• Practical labs featuring hands-on implementation exercises.
• Realistic simulations of CI/CD workflows within a controlled environment.

Customization Options

• For organizations needing customized pipeline workflows or specific platform integrations, please reach out to tailor this course to your requirements.

This instructor-led live training in Ho Chi Minh City (online or onsite) is designed for advanced-level Kubernetes administrators and DevOps engineers seeking to enhance their monitoring skills for Kubernetes clusters using Prometheus and Grafana.

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

• Configure Prometheus and Grafana for Kubernetes monitoring.
• Track essential metrics for pods, nodes, and services.
• Build dynamic dashboards to visualize cluster health and performance.
• Deploy alerting strategies for proactive issue resolution.
• Apply best practices for scaling monitoring solutions in Kubernetes environments.

Hybrid AI deployment involves executing AI inference across cloud, on-premise, and edge environments by leveraging unified container-based workflows.

This instructor-led live training (available online or onsite) is designed for advanced professionals aiming to architect and deploy distributed AI inference systems within heterogeneous environments.

After completing this training, participants will be equipped to:

• Create secure and scalable containerized AI services for multi-site deployments.
• Distribute AI inference workloads to cloud platforms, local servers, and edge devices using Docker.
• Utilize orchestration tools to automate distributed AI operations.
• Enhance inference latency, reliability, and resilience across varied infrastructure.

Course Format

• Guided presentations accompanied by expert-led discussions.
• Extensive hands-on practice with applied exercises.
• Real-world experimentation in a controlled live-lab environment.

Customization Options

• To tailor this course to your organization’s specific infrastructure or use cases, please reach out for customization services.

Kubernetes is an open-source platform designed to automate the deployment, scaling, and management of containerized applications.

This instructor-led live training (available online or on-site) targets beginner to intermediate IT professionals eager to grasp Kubernetes' core concepts and components, enabling them to manage containerized applications at scale.

Upon completing this training, participants will be able to:

• Comprehend Kubernetes architecture and its essential components.
• Deploy and manage containers within a Kubernetes cluster.
• Configure networking, storage, and scaling for various workloads.
• Troubleshoot common issues and apply best practices for cluster operations.

Course Format

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

Customization Options

• To request customized training for this course, please contact us to arrange your preferences.

This instructor-led live training, held in Ho Chi Minh City (online or onsite), is designed for DevOps engineers and developers seeking to leverage Kubernetes to securely build, deploy, and manage containerized applications and cluster components in scalable environments.

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

• Comprehend the architecture, fundamental concepts, and key components of the Kubernetes ecosystem.
• Set up, install, and configure a Kubernetes cluster for effective container orchestration.
• Perform Kubernetes operations using command-line tools.
• Gain practical experience covering both basic and advanced Kubernetes operations and administration.

Docker serves as a containerization platform designed to create portable, isolated, and secure deployment environments for AI inference services.

This instructor-led live training, available either online or onsite, targets beginner to intermediate-level technical professionals who aim to develop secure, portable AI inference microservices. These services can be consistently deployed across local machines, servers, or cloud virtual machines (VMs).

Upon completing this workshop, participants will be able to:

• Create lightweight inference containers for both local and cloud deployment.
• Secure containerized AI services by applying industry best practices.
• Establish portable microservice workflows to ensure consistent operating environments.
• Deploy AI inference endpoints across various infrastructure setups.

Course Format

• Instructor-guided lectures combined with practical demonstrations.
• Hands-on exercises to reinforce deployment and security techniques.
• Live lab sessions focused on building and running portable inference services.

Customization Options

• To tailor this training specifically to your infrastructure or AI tooling stack, please contact us to arrange.

In this instructor-led live training in Ho Chi Minh City (onsite or remote), participants will learn how to deploy a set of sample servers inside containers, then automate, scale, and manage these containerized servers within a Kubernetes cluster. The training progresses to advanced topics, guiding participants through the processes of securing, networking, and monitoring a Kubernetes cluster.

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

• Set up and run Docker containers.
• Deploy containerized databases and servers.
• Configure a Docker and Kubernetes cluster.
• Utilize Kubernetes to deploy and manage distinct environments within the same cluster.
• Secure, scale, and monitor a Kubernetes cluster.

Accelerating deep learning tasks with GPUs is critical for achieving high performance in a scalable and efficient manner.

This live, instructor-led session—available online or onsite—is designed for mid-level technical experts looking to configure, fine-tune, and execute GPU-powered AI workloads within Docker containers.

By the end of this course, participants will be equipped to:

• Construct and operate GPU-capable containers for both training and inference phases.
• Set up CUDA, drivers, and runtime libraries tailored for containerized AI processes.
• Refine resource distribution and isolation strategies for GPU-heavy applications.
• Implement scalable, container-based deep learning services in production settings.

Course Structure

• Engaging lessons reinforced by practical, real-world examples.
• Practice sessions centered on GPU-integrated development.
• Practical implementation within a live lab setting.

Customization Opportunities

• To align training with your specific infrastructure or GPU stack, please reach out to us for arrangements.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is aimed at intermediate-level professionals who wish to effectively deploy, manage, and scale containerized applications using Kubernetes.

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

• Understand the Kubernetes architecture and its components.
• Isolate resources effectively using Namespaces.
• Manage and customize workloads with Deployments, StatefulSets, and DaemonSets.
• Define computational resources using Requests and Limits.
• Work with Jobs and CronJobs for scheduled tasks.
• Understand Services and DNS within Kubernetes.
• Expose applications using Ingress.
• Manage ConfigMaps, Secrets, and Persistent Volumes.
• Scale and upgrade Kubernetes clusters using advanced strategies.
• Analyze and troubleshoot Kubernetes issues.
• Deploy resources efficiently using Helm Charts.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is designed for intermediate to advanced developers, DevOps professionals, and architects who want to design, deploy, and manage resilient applications using microservices, containers, and continuous integration/continuous deployment (CI/CD) pipelines.

Upon completing this training, participants will be able to:

• Understand and implement microservices architecture.
• Deploy and manage containerized applications using Docker and Kubernetes.
• Set up and optimize CI/CD pipelines for automated deployments.
• Apply best practices for security, monitoring, and observability.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is designed for advanced-level platform engineers and DevOps professionals who want to master application scaling using microservices and Kubernetes.

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

• Design and implement scalable microservices architectures.
• Deploy and manage applications on Kubernetes clusters.
• Utilize Helm charts for efficient service deployment.
• Monitor and maintain the health of microservices in production.
• Apply best practices for security and compliance in a Kubernetes environment.

Gain a solid understanding of containers, Kubernetes, and OpenShift through practical, hands-on training tailored for developers, DevOps engineers, and IT professionals. Participants will learn how to build containerized applications, deploy workloads, manage Kubernetes resources, and utilize OpenShift to streamline modern application delivery in cloud and hybrid environments.

Docker serves as a containerization platform essential for establishing reproducible, portable, and scalable environments within Machine Learning systems.

Designed for intermediate to advanced technical professionals, this live, instructor-led course—available online or on-site—focuses on the containerization and operationalization of comprehensive ML pipelines using Docker.

By the end of this program, participants will be equipped to:

• Encapsulate ML training, validation, and inference workloads into containers.
• Architect and manage end-to-end ML pipelines utilizing Docker and complementary tools.
• Establish version control, reproducibility, and CI/CD practices for ML components.
• Deploy, oversee, and scale ML services within containerized infrastructures.

Instructional Approach

• Engaging lectures complemented by live practical demonstrations.
• Practical exercises dedicated to constructing genuine ML pipeline elements.
• Real-time lab sessions for executing fully containerized workflows.

Tailored Learning Options

• For training tailored to specific ML infrastructure requirements, please reach out to discuss available options.

Docker serves as a containerization platform that facilitates consistent, portable, and reproducible environments specifically designed for AI and machine learning workloads.

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

Upon completion of this course, participants will gain the capability to:

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

Course Format

• Concept demonstrations accompanied by guided discussions.
• Hands-on exercises centered on practical, real-world containerization tasks.
• Practical implementation utilizing live-lab Docker environments.

Customization Options

• To tailor this training to your specific organizational environment, please reach out to us to make arrangements.

This instructor-led, live training in Ho Chi Minh City (online or on-site) is aimed at beginner-level developers who wish to learn the basics of Kubefirst and how it simplifies, secures, and accelerates Kubernetes and Swarm cluster management at enterprise scale.

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

• Set up a Kubefirst development environment.
• Write and run a basic Kubefirst program.
• Annotate code with Kubefirst directives and clauses.
• Use Kubefirst API and libraries.
• Profile and debug Kubefirst programs.

This instructor-led live training in Ho Chi Minh City (online or onsite) is designed for intermediate developers and DevOps engineers looking to adopt Minikube within their development workflow.

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

• Set up and manage a local Kubernetes environment using Minikube.
• Understand how to deploy, manage, and debug applications on Minikube.
• Integrate Minikube into their continuous integration and deployment pipelines.
• Optimize their development process using Minikube's advanced features.
• Apply best practices for local Kubernetes development.

This instructor-led live training in Ho Chi Minh City (online or onsite) targets intermediate-level developers and DevOps engineers who want to build, deploy, and manage microservices using Spring Cloud and Docker.

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

This instructor-led, live training in Ho Chi Minh City (online or onsite) targets beginner to intermediate software developers and DevOps professionals who want to learn how to set up and manage a local Kubernetes environment using Minikube.

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

• Install and configure Minikube on their local machine.
• Understand the fundamental concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Set up persistent storage and networking solutions for Kubernetes.
• Utilize Minikube for developing, testing, and debugging applications.

Training objectives: Gain theoretical and practical skills in Docker and Kubernetes.

This instructor-led, live training in Ho Chi Minh City (onsite or remote) teaches participants how to create and manage Docker containers, followed by deploying a sample application within one. Participants will also learn how to automate, scale, and manage containerized applications inside a Kubernetes cluster. Finally, the training advances to more complex topics, guiding participants through the processes of securing, scaling, and monitoring a Kubernetes cluster.

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

• Set up and run a Docker container.
• Deploy a containerized server and web application.
• Build and manage Docker images.
• Set up a Docker and Kubernetes cluster.
• Use Kubernetes to deploy and manage a clustered web application.
• Secure, scale and monitor a Kubernetes cluster.

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

Kubernetes has become a leading platform for container orchestration.

Since 2015, NobleProg has been providing Docker & Kubernetes training. With over 360 successfully completed training projects, we have established ourselves as one of the most renowned training providers globally in the field of containerization.

Since 2019, we have also been assisting our customers in validating their performance in Kubernetes environments by preparing them to pass 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 participating even if you do not plan to take the CKA exam.

Course Format

• Interactive lectures and discussions.
• Extensive 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.
• For more information about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

In this instructor-led live training at Ho Chi Minh City (available online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.

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

• Configure and manage Kubernetes on AKS.
• Deploy, manage and scale a Kubernetes cluster.
• Deploy containerized (Docker) applications on Azure.
• Migrate an existing Kubernetes environment from on-premise to AKS cloud.
• Integrate Kubernetes with third-party continuous integration (CI) software.
• Ensure high availability and disaster recovery in Kubernetes.

Discover how to build, deploy, and administer containerized environments using Docker, Kubernetes, and OpenShift. This five-day, hands-on training covers container images, Kubernetes workloads, cluster networking, storage, security, monitoring, and practical OpenShift administration. Participants will acquire the skills necessary to operate modern container platforms and troubleshoot applications across both development and production environments.

This instructor-led, live training (online or onsite) is aimed at engineers wishing to automate, secure, and monitor containerized applications in a large-scale Kubernetes cluster.

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

• Use Kubernetes to deploy and manage different environments under the same cluster
• Secure, scale and monitor a Kubernetes cluster

Format of the Course

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

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

The Certified Kubernetes Application Developer (CKAD) program 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 design, build, configure, and expose cloud native applications for Kubernetes.

On the other hand, training is also focused on gaining practical experience in Kubernetes application development, so we recommend taking part in it, even if you don't intend to take CKAD exam.

NobleProg have been delivering Docker & Kubernetes training from 2015. With more than 360 successfully completed training projects, we became one of the best known training company worldwide in field of containerization. Since 2019 we are also helping our customers to confirm their performance in k8s environment by preparing them and encouraging to pass CKA and CKAD exams.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• 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, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

This instructor-led, live course in Ho Chi Minh City provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.

Istio is an open-source service mesh designed to operate on Kubernetes, delivering secure, observable, and manageable connectivity between microservices. By utilizing Istio’s Envoy-based sidecar proxies, teams can enforce policies, secure communications via mTLS, gain deep traffic observability, and enhance reliability at scale.

This instructor-led live training (available online or onsite) targets intermediate-level engineers looking to deploy, secure, and manage microservices applications using Istio on Kubernetes.

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

• Install and configure Istio on Kubernetes clusters.
• Understand and apply service mesh concepts such as traffic management, security, and observability.
• Deploy microservices applications within an Istio service mesh.
• Secure service-to-service communications using mutual TLS (mTLS) and Zero Trust principles.
• Monitor, trace, and troubleshoot microservices using Prometheus, Grafana, and Jaeger.
• Integrate Istio with Calico for advanced network policies and security.

Course Format

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

Customization Options

• For customized training requests, please contact us to arrange.

The recent evolution of microservices and containers has fundamentally transformed how software is designed, developed, deployed, and operated. Modern applications must be optimized for scalability, elasticity, fault tolerance, and adaptability. Driven by these evolving demands, contemporary architectures necessitate a distinct set of patterns and practices. This training explores methods to identify, comprehend, and adapt to these new requirements.

Audience
This training is designed for individuals who have some familiarity with container technology and Kubernetes concepts but may lack extensive real-world experience. The curriculum is grounded in use cases and lessons learned from actual projects, aiming to inspire participants to design and manage high-quality cloud-native applications.

• Developers
• Operations staff
• DevOps professionals
• QA Engineers
• IT Project Managers

Course Format

• Interactive lectures and discussions
• Extensive exercises and practical application
• Hands-on implementation in a live-lab environment

Customization Options

• To request a customized version of this course, please contact us to arrange details.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is designed for engineers looking to use Helm to simplify the installation and management of Kubernetes applications.

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

• Install and configure Helm.
• Build reproducible Kubernetes application deployments.
• Distribute applications as Helm charts.
• Deploy third-party applications packaged as Helm charts.
• Manage releases of Helm packages.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is aimed at DevOps engineers who wish to use Kubernetes and GitLab to automate the DevOps lifecycle.

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

• Automate application builds, tests, and deployments.
• Create an automated build infrastructure.
• Deploy an application to a containerized cloud environment.

This instructor-led, live training in Ho Chi Minh City (online or onsite) is targeted at Kubernetes practitioners seeking to prepare for the CKS exam.

By the end of this training, participants will be equipped with the skills to secure Kubernetes environments and container-based applications throughout the various stages of an application's lifecycle: build, deployment, and runtime.

This instructor-led live training in Ho Chi Minh City (online or onsite) targets developers and DevOps engineers who wish to adopt a serverless approach for building enterprise applications on Kubernetes.

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

• Set up and configure the Kubernetes system to start developing with a serverless architecture.
• Understand the concepts and principles foundational to serverless environments.
• Operate toolchains necessary to serverless development and integrate it with Kubernetes components.
• Practice their skill in Python programming language and apply it to implement serverless systems.
• Secure enterprise applications that are deployed through a serverless framework on Kubernetes.
• Utilize modern cloud computing methods in optimizing DevOps task processing workflows.

This instructor-led live training in Ho Chi Minh City (online or onsite) is designed for engineers seeking to strengthen Kubernetes security beyond default configurations.

Upon completion, participants will be able to:

• Identify vulnerabilities inherent in default Kubernetes installations.
• Block unauthenticated access to the Kubernetes API, database, and other services.
• Safeguard clusters against accidental or malicious intrusions.
• Develop comprehensive security policies and adopt industry best practices.

This instructor-led live training in Ho Chi Minh City (online or onsite) targets engineers who wish to advance their knowledge of Docker 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.

This intensive 7-day program offers a comprehensive, hands-on exploration into the design, deployment, and operation of cloud-native applications through modern DevOps methodologies.

Participants will learn to architect scalable microservices systems, optimize containerized environments, and manage production workloads with Kubernetes. The curriculum addresses advanced deployment techniques, GitOps-driven automation, and observability standards to guarantee system reliability and high performance.

A significant emphasis is placed on navigating real-world operational hurdles, such as incident response, failure simulation exercises, and root cause analysis. The program finishes by introducing AI-powered tools designed to aid in troubleshooting and speed up operational decision-making processes.

Upon completion of the training, participants will possess a solid grasp of building, deploying, monitoring, and maintaining resilient distributed systems within a Kubernetes ecosystem.

Docker is an open-source platform designed to automate the construction, delivery, and operation of applications within containers.

This instructor-led live training (available online or on-site) targets engineers who want to utilize Docker for deploying and managing software as containers rather than traditional standalone applications.

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

• Install and configure Docker.
• Grasp the principles of software containerization and apply them effectively.
• Manage applications built on Docker.
• Network various Docker applications and systems together.
• Understand and modify Docker registries.

Course Format

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

Customization Options

• To request customized training for this course, please contact us to arrange details.
• To learn more about Docker, visit: https://www.docker.com

This instructor-led, live training in Ho Chi Minh City (online or onsite) is aimed at intermediate to advanced DevOps engineers and system administrators who wish to deploy and manage self-hosted Kubernetes clusters without cloud dependencies.

By the end of this training, participants will be able to: deploy production-ready Kubernetes clusters using kubeadm on bare-metal or virtual machines; configure high-availability control planes and etcd clusters; implement container networking and storage for self-managed environments; set up monitoring and observability using self-hosted solutions.

In this instructor-led live training in Ho Chi Minh City, participants will learn the essentials of building microservices using Spring Cloud and Docker. Participants' understanding will be assessed through exercises and the step-by-step creation 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.

OpenShift stands as one of the leading Kubernetes-based platforms for deploying and managing containerized applications in cloud, hybrid, and on-premises environments.

This hands-on training instructs participants on how to install, administer, and troubleshoot OpenShift clusters while applying best practices for security, networking, and storage. Through practical exercises, participants acquire the skills necessary to confidently manage production-ready OpenShift environments.

Learn how to develop, deploy and manage containerized applications with OpenShift, one of the leading Kubernetes-based platforms for cloud-native development. This practical training covers application deployment, containers, networking, CI/CD and DevOps workflows, giving participants the skills to build and maintain modern applications in production environments.

This instructor-led, live training in Ho Chi Minh City (online or onsite) targets intermediate-level virtualization administrators who wish to utilize open-source platforms for migrating away from VMware.

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

• Install and configure KVM, oVirt, and Proxmox VE.
• Migrate virtual workloads from VMware.
• Implement high availability and disaster recovery.
• Optimize performance in open-source virtualization environments.