OKD (Origin Kubernetes Distribution) for Administratorsのトレーニングコース

Minikube is a tool that makes it easy to run Kubernetes locally.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level software developers and DevOps professionals who wish 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.

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.

Minikube is a powerful tool for developers to run Kubernetes locally.

This instructor-led, live training (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.

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.

This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Helm to streamline the process of installing and managing Kubernetes applications.

By the end 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.

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 Helm, please visit: https://helm.sh/

This instructor-led, live training (online or onsite) is aimed at engineers wishing to run containerized applications using the CRI-O container runtime.

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

• Install and configure the CRI-O container runtime.
• Pull images from a variety of OCI-compliant registries.
• Run, test and manage containerized applications using CRI-O.

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 CRI-O, please visit: http://cri-o.io/.

Red Hat OpenShift Container Platform (formerly OpenShift Enterprise) is an on-premises platform-as-a-service used for developing and deploying containerized applications on Kubernetes. Red Hat OpenShift Container Platform runs on Red Hat Enterprise Linux.

In this instructor-led, live training, 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.

Format of the Course

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

Course Customization Options

• This course is based on OpenShift Container Platform version 3.x.
• To customize the course or request training on a different version of OpenShift (e.g., OpenShift Container Platform 4 or OKD), please contact us to arrange.

Docker is an open-source platform for automating the process of building, shipping and running applications inside containers.

Kubernetes goes one step further by providing the tools needed to deploy and manage containerized applications at scale in a clustered environment.

OpenShift Container Platform (formerly OpenShift Enterprise) brings Docker and Kubernetes together into a managed platform, or PaaS (Platform as a Service), to further ease and simplify the deployment of Docker and Kubernetes. It provides predefined application environments and helps to realize key DevOps principles such as reduced time to market, infrastructure as code, continuous integration (CI), and continuous delivery (CD). OpenShift Container Platform is maintained by Red Hat and runs atop of Red Hat Enterprise Linux.

In this instructor-led, live training, participants will learn how to use 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 public cloud or on a hosted cloud.

Format of the Course

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

Course Customization Options

• This course is based on OpenShift Container Platform version 3.x. 
• To customize the course or request training on a different version of OpenShift (e.g., OpenShift Container Platform 4 or OKD), please contact us to arrange.

Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is one of the most popular machine learning libraries. Kubernetes is an orchestration platform for managing containerized applications. OpenShift is a cloud application development platform that uses Docker containers, orchestrated and managed by Kubernetes, on a foundation of Red Hat Enterprise Linux.

This instructor-led, live training (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to an OpenShift on-premise or hybrid cloud.

• By the end of this training, participants will be able to:
• Install and configure Kubernetes and Kubeflow on an OpenShift cluster.
• Use OpenShift to simplify the work of initializing a Kubernetes cluster.
• Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
• Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
• Call public cloud services (e.g., AWS services) from within OpenShift to extend an ML application.

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.

OKD is an application development platform for deploying containerized applications using Kubernetes. OKD is the upstream code base upon which Red Hat OpenShift Online and Red Hat OpenShift Container Platform are built.

In this instructor-led, live training (onsite or remote), participants will learn learn to create, update, and maintain containerized applications using OKD.

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

• Deploy a containerized web application to an OKD cluster on-premise or in the cloud.
• Automate part of the software delivery pipeline.
• Apply the principles of the DevOps philosophy to ensure continuous delivery of an application.

Format of the Course

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

Course Customization Options

• This course is based on OKD (Origin Kubernetes Distribution).
• To customize the course or request training on a different version of OpenShift (e.g., OpenShift Container Platform 3 or OpenShift Container Platform 4), please contact us to arrange.

OpenShift Container Platform (formerly OpenShift Enterprise) v. 4 is a collection of software put together by Red Hat for deploying containers and Kubernetes in the enterprise. New features in version 4 include Operators, machine sets, and CoreOS -- all of which enable clusters to self-manage some functions previously performed by administrators.

In this instructor-led, live training (online or onsite), participants will learn how to install, configure, and manage OpenShift Container Platform v4.

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

• Undersand OCI (Open Containers Initiative) and its implications for using container enginees such as Docker in OpenShift.
• Understand the relationship between the different versions of OpenShift (OKP, OpenShift Container Platform, Red Hat OpenShift, etc.).
• Create, configure, manage, and troubleshoot an OpenShift Container Platform cluster.
• Implement OpenShift Container Platform's self-manage capabilities to improve platform stability and consistency.
• Secure OpenShift Container Platform.
• Monitor and gather metrics.
• Manage storage.
• Upgrade an OpenShift Container Platform 3 cluster to OpenShift Container Platform 4.

Format of the Course

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

Course Customization Options

• This course focuses on OpenShift Container Platform, version 4. If you wish to use a different version of OpenShift (e.g. OpenShift Container Platform 3 or OKD), please contact us to arrange.
• To request a customized training for this course, please contact us to arrange.

OpenShift Container Platform (formerly OpenShift Enterprise) is a collection of software put together by Red Hat for deploying containers and Kubernetes in the enterprise. OpenShift Container Platform optimizes developer productivity with features such as, Red Hat CodeReady Workspaces, OpenShift Service Mesh, Kubernetes-based event-driven autoscaling, and Operator-enabled Red Hat OpenShift Container Storage.

In this instructor-led, live training (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:

• Undersand OCI (Open Containers Initiative) and its implications for using container enginees 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.

Format of the Course

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

Course Customization Options

• This course focuses on OpenShift Container Platform, version 4. If you wish to use a different version of OpenShift (e.g. OpenShift Container Platform 3 or OKD), please contact us to arrange.
• To request a customized training for this course, please contact us to arrange.

Jenkins is an open sourced automation server for continuous integration and continuous delivery (CI/CD). OpenShift is a containerization platform for managing infrastructures on the cloud or on-premise.

This instructor-led, live training (online or onsite) is aimed at DevOps engineers who wish to use OpenShift and Jenkins to build, deploy, and manage container-based applications.

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

• Build Jenkins pipelines in OpenShift.
• Automate the lifecycle management for containerized applications and cluster infrastructures.
• Orchestrate the deployment of CI/CD pipelines.

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.

Advanced Platform Engineering is the strategic application of microservices and Kubernetes to scale applications efficiently and reliably.

This instructor-led, live training (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.

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.

Google Anthos is a set of managed services that add value to the Kubernetes container platform. Anthos can be run on a hybrid and multicloud environment.

This instructor-led, live training (online or onsite) is aimed at developers who wish to use Anthos to build, deploy, and optimize applications running on top of multi-cluster Kubernetes infrastructure.

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

• Set up Google Anthos on-premise or in the cloud.
• Define, automate, and enforce policies across different environments.
• Manage traffic between services.
• Use Anthos Service Mesh to monitor, troubleshoot, and improve application performance.
• Implement security controls across all deployments.

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.

Argo CD (also referred to as argocd, argo-cd, and argoproj) is a declarative, continuous delivery tool for Kubernetes clusters that simplifies application monitoring and deployment.

This instructor-led, live training (online or onsite) is aimed at system administrators and developers who wish to use Argo CD to automate the deployment and lifecycle management of applications.

By the end of this training, participants will be able to automate, monitor, audit, and roll back their Kubernetes systems using Argo CD.

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 Argo Project by GitOps is a collection of software tools for operating Kubernetes. With its platform and features, users can implement CI/CD principles into their application development projects while executing version control and keeping the deployment process automated. The core components of the Argo Project include Argo CD, Workflows, Rollouts, and Events.

This instructor-led, live training (online or onsite) is aimed at developers and DevOps engineers who wish to familiarize themselves with Argo Project tools and maximize its functions for developing cloud-native applications.

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

• Install and configure Argo CD along with Workflows, Rollouts, and Events.
• Understand how each core component and main functionality of the Argo Project works.
• Execute basic CI/CD implementations in Kubernetes using Argo Project tools and features.
• Automate the deployment of an application and efficiently manage its state throughout the process.

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.