Containers and Virtual Machines (VMs) Training in Kuala Lumpur

Edge AI focuses on performing machine learning inference close to the source of data to deliver low-latency, efficient, and scalable processing capabilities.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced practitioners looking to deploy, orchestrate, and optimize AI workloads within Kubernetes-based edge environments.

Upon completing this course, participants will be able to:

• Set up lightweight Kubernetes distributions suitable for edge deployments.
• Effectively deploy AI inference workloads across resource-constrained edge nodes.
• Address connectivity challenges and implement synchronization patterns.
• Optimize performance, storage, and networking for real-world edge scenarios.

Course Format

• Guided presentations supported by real-world examples.
• Scenario-based labs and practical edge deployment exercises.
• Hands-on experience with Kubernetes edge frameworks.

Course Customization Options

• To request a customized training tailored to your edge platform needs, please contact us to arrange.

Kubernetes is a widely adopted container orchestration platform used for managing distributed applications at scale.

This instructor-led live training (available online or onsite) is designed for advanced practitioners looking to leverage AI and machine learning techniques to optimize Kubernetes resource usage, scheduling decisions, and autoscaling strategies.

Upon completing this program, participants will be able to:

• Utilize AI/ML models to enhance workload scheduling decisions in Kubernetes.
• Implement intelligent autoscaling using reinforcement learning and metric forecasting.
• Lower infrastructure costs and reduce latency through automated resource optimization.

Course Format

• Instructor-guided technical presentations and in-depth discussions.
• Hands-on lab exercises using real Kubernetes clusters.
• Practical exercises applying AI models to real operational scenarios.

Course Customization Options

• To tailor this course to your platform setup or operational requirements, please contact us for customization.

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

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

This instructor-led live training in Kuala Lumpur (online or onsite) is designed for DevOps engineers and developers who wish to use Kubernetes to build, deploy, and manage containers and cluster components in a secure and scalable environment.

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

• Understand the architecture, core concepts, and components of a Kubernetes ecosystem.
• Set up, install, and configure a Kubernetes cluster for container orchestration.
• Learn how to execute Kubernetes operations using command-line tools.
• Gain hands-on experience covering basic to advanced Kubernetes operations and administration.

In this instructor-led live training at Kuala Lumpur (onsite or remote), participants will learn how to deploy a collection of sample servers inside containers, then automate, scale, and manage their containerized servers within a Kubernetes cluster. The training goes on to more advanced topics, walking participants through the process of securing, networking and monitoring a Kubernetes cluster.

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

• Set up and run a Docker container.
• Deploy containerized databases and servers.
• Set up a Docker and Kubernetes cluster.
• Use Kubernetes to deploy and manage different environments under the same cluster.
• Secure, scale and monitor a Kubernetes cluster.

This instructor-led, live training in Kuala Lumpur (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:

• Grasp the Kubernetes architecture and its key components.
• Effectively isolate resources using Namespaces.
• Manage and customize workloads through Deployments, StatefulSets, and DaemonSets.
• Define computational resources by setting Requests and Limits.
• Utilize Jobs and CronJobs for scheduled tasks.
• Gain a clear understanding of Services and DNS within Kubernetes.
• Expose applications via Ingress.
• Manage ConfigMaps, Secrets, and Persistent Volumes.
• Scale and upgrade Kubernetes clusters employing advanced strategies.
• Analyze and troubleshoot issues arising within Kubernetes.
• Deploy resources efficiently using Helm Charts.

This instructor-led live training in Kuala Lumpur (online or onsite) is tailored for intermediate to advanced developers, DevOps professionals, and architects who aim 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:

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

This instructor-led, live training in Kuala Lumpur (online or onsite) is designed for advanced-level platform engineers and DevOps professionals aiming to master application scaling through microservices and Kubernetes.

Upon completing 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.

DO180 provides a foundational understanding of containers, Kubernetes core concepts, and Red Hat OpenShift platform principles, with a strong emphasis on practical, hands-on application.

This live, instructor-led training, available either online or onsite, is designed for technical professionals at beginner to intermediate levels who aim to master container workflows, Kubernetes primitives, and the deployment and operation of applications on OpenShift.

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

• Construct and manage container images and registries, adhering to best practices for reproducibility and security.
• Deploy and manage Kubernetes objects, such as pods, deployments, and services, within the OpenShift environment.
• Leverage OpenShift features like routes, buildconfigs, and the web console to streamline application delivery.
• Implement persistent storage, configuration management, and secret handling for stateful workloads.
• Apply fundamental security, RBAC, and monitoring practices to ensure the health of clusters and applications.

Course Format

• Interactive lectures and discussions.
• Daily hands-on labs conducted in a live OpenShift environment.
• Scenario-based exercises and troubleshooting workshops.

Course Customization Options

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

This instructor-led, live training in Kuala Lumpur (online or on-site) is designed for beginner-level developers who wish to learn the basics of Kubefirst and how it simplifies, secures, and accelerates Kubernetes and Swarm cluster management at an 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 Kuala Lumpur (online or on-site) targets intermediate-level developers and DevOps engineers who wish to use Minikube as part of 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 Kuala Lumpur (online or on-site) is aimed at intermediate-level system administrators who wish to effectively deploy, manage, and troubleshoot Hyper-V environments.

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

• Understand virtualisation concepts and configure Hyper-V.
• Create and manage virtual machines, VM storage, and networking.
• Utilise advanced Hyper-V features and secure Hyper-V environments.
• Monitor and optimise Hyper-V performance.

This instructor-led, live training in Kuala Lumpur (online or on-site) targets developers, system administrators, and DevOps engineers at beginner to intermediate levels who wish to deepen their understanding of Kubernetes and cloud-native principles.

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

• Establish a development environment equipped with Kubernetes.
• Build microservices applications leveraging Kubernetes.
• Deploy, manage, and scale applications within a Kubernetes ecosystem.
• Troubleshoot common issues encountered in Kubernetes environments.

This instructor-led, live training in Kuala Lumpur (online or in-person) is designed for beginner to intermediate software developers and DevOps professionals looking to learn how to set up and manage a local Kubernetes environment using Minikube.

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

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

Training Objectives: Acquire theoretical and practical skills in Docker and Kubernetes.

In this instructor-led live training in Kuala Lumpur (onsite or remote), participants will learn how to create and manage Docker containers and deploy a sample application inside a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training progresses to advanced topics, guiding participants through the process 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) 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

In this instructor-led live training in Kuala Lumpur (online or on-site), 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 containerised (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.

This hands-on course aims to equip participants with the practical tools and skills needed to effectively manage Docker and Kubernetes in real-world scenarios.

In this instructor-led live training in Kuala Lumpur, participants will learn how to manage Red Hat OpenShift Container Platform.

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

• Create, configure, manage, and troubleshoot OpenShift clusters.
• Deploy containerised applications on-premise, in public cloud or on a hosted cloud.
• Secure OpenShift Container Platform
• Monitor and gather metrics.
• Manage storage.

In this instructor-led live training in Kuala Lumpur, participants will learn how to utilise OpenShift Container Platform to deploy containerised applications.

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

• Create and configure an OpenShift environment.
• Rapidly deploy applications on-premise, in the public cloud, or on a hosted cloud platform.

This instructor-led, live training (available online or onsite) is designed for engineers who aim to automate, secure, and monitor containerized applications within large-scale Kubernetes clusters.

Upon completing this training, participants will be capable of:

• Utilizing Kubernetes to deploy and manage various environments within a single cluster
• Securing, scaling, and monitoring a Kubernetes cluster

Course Format

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

Customization Options

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

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/

This instructor-led, live course in Kuala Lumpur 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 connections between microservices. By utilising Istio’s Envoy-based sidecar proxies, teams can enforce policies, secure communications via mTLS, gain deep visibility into traffic patterns, and enhance reliability at scale.

This instructor-led live training (available online or onsite) targets intermediate-level engineers who want 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, including 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.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request a tailored training session for this course, please get in touch with us to arrange.

Amazon Elastic Kubernetes Service (EKS) is a fully managed, self-service Kubernetes offering from AWS. It is highly scalable and customizable, enabling Kubernetes deployments to mirror or seamlessly integrate with existing on-premise Kubernetes environments.

In this instructor-led live training, participants will gain the skills to set up and manage a production-grade container environment using Kubernetes on EKS.

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

• Configure and manage Kubernetes deployments on EKS
• Migrate existing Kubernetes workloads from on-premise infrastructures to the AWS cloud
• Integrate Kubernetes with third-party continuous integration (CI) tools
• Implement high availability and disaster recovery strategies within Kubernetes
• Understand and leverage tools for efficient EKS management

Audience

• Developers
• System Administrators
• DevOps Engineers

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice in a live lab environment.

Note

• To request customized training for this course, please contact us to make arrangements.

In recent years, the advancement of microservices and container technologies has fundamentally transformed how software is designed, developed, deployed, and operated. Contemporary applications demand optimization for scalability, elasticity, fault tolerance, and adaptability. To meet these evolving needs, modern architectural approaches necessitate a distinct set of patterns and practices. This training explores strategies to identify, comprehend, and adapt to these new requirements.

Audience
This course is designed for professionals who possess a foundational understanding of container technology and Kubernetes concepts but may lack practical, real-world experience. Drawing on use cases and lessons learned from actual projects, the content aims to inspire participants to design and manage superior cloud-native applications.

• Developers
• Operations teams
• DevOps engineers
• QA Engineers
• IT Project Managers

Format of the Course

• Interactive lectures and discussions
• Extensive exercises and practical sessions
• Hands-on implementation within a live laboratory environment

Course Customization Options

• To request tailored training for this course, please get in touch with us to make arrangements.

This instructor-led, live training in Kuala Lumpur (online or onsite) is designed for engineers who want 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.
• Create reproducible builds of Kubernetes applications.
• Share applications as Helm charts.
• Run third-party applications saved as Helm charts.
• Manage releases of Helm packages.

This instructor-led live training in Kuala Lumpur (online or on-site) is aimed at engineers seeking to optimise networking for Kubernetes clusters.

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

• Install and configure Calico.
• Understand how Calico differs from traditional overlay networks.
• Grasp how Calico combines internet routing protocols with consensus-based data stores.
• Utilise Calico to create a container networking solution for Kubernetes clusters.
• Use Calico to implement network policies for Kubernetes.

In this instructor-led live training in Kuala Lumpur, participants will learn how to set up and manage a production-scale container environment using Kubernetes on Google Cloud.

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

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

In this instructor-led live training in Kuala Lumpur (onsite or remote), participants will learn how to install, configure, and manage OKD on-premise or in the cloud.

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

• Create, configure, manage, and troubleshoot an OKD cluster.
• Secure OKD.
• Deploy containerised applications on OKD.
• Monitor the performance of an application running in OKD.
• Manage data storage.
• Quickly deploy applications on-premise or on a public cloud such as AWS.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at Kubernetes practitioners who wish to prepare for the CKS exam.

By the end of this training, participants will know how to secure Kubernetes environments and container-based applications throughout the different stages of an application's life cycle: build, deployment and runtime.

This instructor-led, live training (available online or onsite) is designed for engineers who wish to evaluate each of these services to make an informed decisions about which to deploy within their organization.

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

• Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
• Set up, configure and deploy a series of demo containers using a number of different approaches.
• Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
• Automate the deployment of Docker containers.
• Set up a continuous integration and deployment pipeline.
• Integrate Docker and Kubernetes into an existing continuous integration system.

Apache Karaf is an OSGi-based runtime designed for deploying containerised applications.

During this instructor-led live training (available onsite or remotely), participants will learn how to set up an OSGi-based project by stepping through the deployment of a modular Java application using Apache Karaf.

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

• Install and configure Apache Karaf
• Understand the essential features of the OSGi runtime environment
• Develop a containerised application using the Apache Karaf runtime environment

Audience

• Architects
• Developers

Format of the Course

• Part lecture, part discussion, exercises and heavy hands-on practice.

Note

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

In this instructor-led live training in Kuala Lumpur, we introduce the architecture, components, and processes behind application virtualization and guide participants step-by-step through the deployment of App-V and App-V applications in a live lab environment. By the end of the course, participants will have the knowledge and hands-on practice needed to install, configure, administer, and troubleshoot App-V, as well as create, package, and deploy their own App-V applications.

In this instructor-led, live training in Kuala Lumpur, we cover advanced techniques and troubleshooting for Microsoft Application Virtualization (App-V), especially in the area of sequencing and packaging.

By the end of the course, participants will have a deep understanding of App-V and be able to sequence, troubleshoot and resolve complex issues.

This 7-day programme provides a comprehensive, hands-on journey into designing, deploying, and operating cloud-native applications using modern DevOps practices.

Participants will explore how to design scalable microservices architectures, optimise container environments, and manage production workloads using Kubernetes. The course covers advanced deployment strategies, GitOps-based automation, and observability practices to ensure system reliability and performance.

A strong focus is placed on real-world operational challenges, including incident response, failure simulation, and root cause analysis. The programme concludes with the use of AI-powered tools to support troubleshooting and accelerate operational decision-making.

By the end of the training, participants will have a clear understanding of how to build, deploy, monitor, and maintain resilient distributed systems in a Kubernetes-based environment.

DC/OS (Distributed Cloud Operating System) is an open-source distributed operating system constructed on the Apache Mesos framework. Apache Mesos leverages the same design philosophies as the Linux kernel, albeit operating at a distinct level of abstraction. The Mesos kernel operates on every node within a cluster, supplying applications such as Hadoop, Spark, Kafka, and Elasticsearch with APIs for resource management and scheduling across extensive datacenter and cloud environments. By abstracting CPU, memory, storage, and other compute resources away from individual machines (whether physical or virtual), Apache Mesos facilitates the straightforward creation and efficient operation of fault-tolerant and elastic distributed systems.

DC/OS consolidates Mesos and over 30 applications into a unified system, functioning much like a Linux distribution packages the Linux kernel with various applications to deliver a fully operational operating system.

This course offers participants a comprehensive overview of Apache Mesos and DC/OS, demonstrating through practical, hands-on exercises how to deploy and manage a complete Data Center Operating System.

Audience

• System administrators
• DevOps engineers

Format of the course

• A blend of lectures and discussions, with a strong emphasis on hands-on practice

This instructor-led live training, delivered either online or onsite, is designed for DevOps engineers and developers who wish to utilize Fedora CoreOS to minimize the maintenance and upgrade expenses of running containerized applications on Kubernetes.

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

• Install and configure Fedora CoreOS.
• Set up a Kubernetes cluster on Fedora CoreOS.
• Run and manage Kubernetes deployments on Fedora CoreOS.
• Automatically update Fedora OS with the latest OS improvements, bug fixes, and security updates.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at DevOps engineers who wish to set up, deploy and manage a Git-based software deployment workflow for their Kubernetes applications.

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

• Install and configure Spinnaker and Terraform.
• Understand the benefits of GitOps over traditional CI/CD and Infrastructure-as-Code (IaC).
• Move away from maintaining scripts. Configure and execute well-defined deployment process.
• Apply best practices for cloud-native deployment, management, and monitoring.
• Recover deployments from partial failures without manual intervention.
• Create a GitOps strategy for application development.

This instructor-led, live training Kuala Lumpur (online or onsite) targets DevOps engineers and developers who wish to use Java and Kubernetes (K8s) to create, build, test, debug and deploy high-performance and scalable applications.

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

• Set up the necessary development environment to build Java applications.
• Understand the features and architecture of Kubernetes.
• Learn about the key concepts and tools for DevOps.
• Get a refresher on Java programming fundamentals.
• Containerize Java microservices using Docker.
• Build, scale, and deploy Java applications on Kubernetes.

Kubernetes is an open-source platform designed to automate every stage of the development lifecycle for containerized applications. Design patterns serve as iterative solutions to software development challenges, addressing issues related to software architecture. Kubernetes extensions are employed to configure and support Kubernetes clusters. By leveraging Kubernetes design patterns and extensions, users can implement CI/CD strategies while preserving the scalability and flexibility of their software applications.

This instructor-led, live training (available online or onsite) is targeted at developers and DevOps engineers who aim to utilize Kubernetes design patterns and extensions to build enterprise-grade applications on Kubernetes clusters.

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

• Establish a Kubernetes cluster and configure the requisite DevOps tools.
• Grasp the core principles of software design patterns and Kubernetes extensions.
• Apply Kubernetes extensions and design patterns when interacting with the Kubernetes API.
• Develop custom Kubernetes resources and implement dynamic controllers within a cluster.
• Administer and secure any Kubernetes environment using Kubernetes plugins.
• Incorporate DevOps networking models into current and future Kubernetes projects.

Format of the Course

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

Course Customization Options

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

OpenShift Container Platform v4 is an enterprise-grade Kubernetes platform created by Red Hat, built to automate the deployment, scaling, and management of containerised applications.

This instructor-led, live training (delivered online or onsite) is tailored for system administrators and DevOps engineers who want to deploy, manage, and operate OpenShift clusters in production environments.

The course offers a practical, hands-on approach to installing and managing OpenShift 4 clusters, working with Operators, securing workloads, and running applications at scale.

In this instructor-led, live training in Kuala Lumpur (online or onsite), participants will learn how to create, update, and maintain applications using OpenShift Container Platform.

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

• Understand OCI (Open Containers Initiative) and its implications for using container engines such as Docker in OpenShift.
• Understand the relationship between the different versions of OpenShift (OKD, OpenShift Container Platform, Red Hat OpenShift, etc.).
• Automate the software delivery pipeline.
• Apply DevOps principles to deliver software continuously.

This instructor-led live training in Kuala Lumpur (online or onsite) is aimed at DevOps engineers and developers who wish to use Podman to create, run, and manage containers and pods as a non-root user.

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

• Install and configure Podman in rootless mode.
• Build and run containers, container images, and pods.
• Manage container networking and lifecycle.
• Use Podman instead of Docker for creating and deploying containerised applications.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at penetration testers who wish to penetrate test networks in Kali Linux using Python.

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

• Create Python programs to seek network vulnerabilities.
• Explore and use Kali web shells and shellcode in exploits.
• Apply various Kali tools for penetration testing.
• Exploit systems with Python.

This hands-on training is designed for system administrators, software developers, embedded systems engineers, and desktop users (including management) seeking a comprehensive introduction to virtualization. Upon completion, administrators will possess the skills to establish private clouds for production environments, while developers will be equipped to test their code across multiple operating systems without requiring additional physical hardware or non-x86 boards.

We recognize that the breadth of topics in this course may not be equally relevant to every participant. When booking, please outline your specific objectives for using QEMU or KVM. We will tailor the curriculum by adjusting time allocation, shifting focus from less pertinent subjects to those critical for your success.

This instructor-led, live training in Kuala Lumpur (online or onsite) is targeted at intermediate-level infrastructure professionals aiming to use Red Hat OpenShift to deploy, manage, and troubleshoot production containerised workloads.

By the end of this training, participants will be able to manage OpenShift clusters via CLI and web console, deploy applications using container images and Kubernetes manifests, troubleshoot networking and storage issues, and configure workloads for high availability and updates.

This instructor-led, live training in Kuala Lumpur (online or on-site) is tailored for intermediate-level virtualization administrators who wish to utilize open-source platforms to migrate 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.

Microsoft Azure Infrastructure and Deployment