Virtualization with QEMU, KVM and Libvirt Training Course

This instructor-led, live training in Taiwan (online or onsite) is aimed at advanced-level platform engineers and DevOps professionals who wish to master scaling applications 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.

Kubernetes serves as a widely adopted container orchestration platform for managing distributed applications at scale.

This instructor-led live training (available online or onsite) targets advanced practitioners seeking 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:

• Apply AI/ML models to enhance workload scheduling decisions within Kubernetes.
• Utilize predictive analytics to optimize CPU, GPU, and memory allocation.
• Implement intelligent autoscaling through reinforcement learning and metric forecasting.
• Reduce infrastructure costs and latency via 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-world operational scenarios.

Course Customization Options

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

Apache Karaf serves as an OSGi-based runtime environment designed for deploying containerized applications.

Through this instructor-led live training, available either on-site or remotely, participants will learn how to establish an OSGi-based project by walking through the deployment of a modular Java application with Apache Karaf.

Upon completion of this training, participants will be capable of:

• Installing and configuring Apache Karaf
• Understanding the core features of the OSGi runtime environment
• Developing a containerized application using the Apache Karaf runtime

Target Audience

• Architects
• Developers

Course Format

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

Note

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

DO180 serves as an introduction to containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts, with a strong emphasis on developing hands-on skills.

This instructor-led, live training, available online or on-site, is designed for beginner to intermediate technical professionals seeking to understand container workflows, Kubernetes primitives, and the methods for deploying and operating applications on OpenShift.

Upon completing this training, participants will be capable of:

• Building and managing container images and registries, adhering to best practices for reproducibility and security.
• Deploying and managing Kubernetes objects, such as pods, deployments, and services, within OpenShift.
• Leveraging OpenShift features, including routes, build configurations, and the web console, to streamline application delivery.
• Implementing persistent storage, configuration management, and secrets handling for stateful workloads.
• Applying basic security, RBAC, and monitoring practices to maintain healthy clusters and applications.

Course Format

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

Course Customization Options

• For those requesting customized training for this course, please contact us to arrange details.

In this instructor-led, live training in Taiwan, 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 containerized 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 Taiwan, participants will learn how to utilize the OpenShift Container Platform to deploy containerized applications.

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

• Create and configure an OpenShift setup.
• Quickly deploy applications on-premise, in a public cloud, or on a hosted cloud.

This instructor-led, live training in Taiwan (online or onsite) is designed for engineers who want to leverage 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.
• Distribute applications as Helm charts.
• Run third-party applications packaged as Helm charts.
• Manage releases of Helm packages.

This instructor-led, live training in Taiwan (online or onsite) is designed for 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 basic 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.

This instructor-led, live training in Taiwan (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to use Minikube as a 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.

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

Upon completing this training, participants will be equipped to:

• Create, configure, manage, and troubleshoot an OKD cluster.
• Implement security measures for OKD.
• Deploy containerized applications on OKD.
• Monitor the performance of applications running within OKD.
• Manage data storage solutions.
• Rapidly deploy applications in on-premise environments or on public cloud platforms such as AWS.

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

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

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

In this instructor-led, live training in Taiwan (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 (OKP, OpenShift Container Platform, Red Hat OpenShift, etc.)
• Automate the software delivery pipeline.
• Apply DevOps principles to deliver software continuously.

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

This instructor-led, live training in Taiwan (online or onsite) is designed for intermediate-level infrastructure professionals who aim to use Red Hat OpenShift to deploy, manage, and troubleshoot production containerized 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.