Flatpak - The Future of Application Distribution - Plan Szkolenia

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/.

Heroku is a Platform-as-a-Service (PaaS) for building, running, operating and scaling containerized web and mobile applications in the cloud. It supports multiple programming languages, various development tools, pre-installed operating systems, and redundant servers.

This instructor-led, live training (online or onsite) is aimed at developers who wish to use Heroku to conveniently deploy web and mobile applications to the cloud, without grappling with infrastructure setup, configuration, management, etc.

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

• Understand the Heroku ecosystem and how it differs from AWS EC2 and other PaaS offerings.
• Leverage Heroku features such as Git integration, Heroku CLI and Heroku Dashboard to push applications to the cloud with ease.

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.

Veeam Backup and Replication is a backup application for virtual machines, servers, and workstations. Veeam Backup and Restoration provides restore and replication functionality.

This instructor-led, live training (online or onsite) is aimed at administrators who wish to use Veeam Backup and Replication to backup, restore, and replicate data.

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

• Perform replication and restoration on virtual machines, servers, and workstations.
• Test and verify backups for recoverablity.
• Secure and protect Veeam backups from ransomware attacks.

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.

Project Calico is a networking solution for containers and virtual machines. Originally created for OpenStack to simplify data transmission across the network, today it supports Kubernetes, OpenShift, Docker EE, OpenStack, bare metal services, and others. Calico uses IP routing instead of switching, virtual networks, overlay networks, and other complicated workarounds to enable efficient and secure networking.

This instructor-led, live training (online or onsite) is aimed at engineers who wish to network Kubernetes clusters using a simplified IP routing based approach.

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

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

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 Project Calico, please visit: https://www.projectcalico.org/

Rancher is an open source PaaS platform for managing Kubernetes on any infrastructure.

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

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

• Install and configure Rancher.
• Launch a Kubernetes cluster using RKE (Rancher Kubernetes Engine).
• Manage multiple cloud Kubernetes clusters while avoiding vendor lock-in.
• Manage Kubernetes clusters using their operating system and container engine of choice.

Format of the Course

• Part lecture, part discussion, heavy hands-on practice

Microsoft Application Virtualization (App-V) allows for the creation of applications that run as centrally managed services. App-V applications have the benefit of never needing to be installed directly on the end user's computer and never conflicting with other applications.

In this instructor-led, live training, we introduce the architecture, components and processes behind application virtualization and walk 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 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.

Format of the course

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

Notes:

• This course covers version 5.1 of App-V. For training on a different version, please contact us to arrange.

Microsoft Application Virtualization (App-V) allows for the creation of applications that run as centrally managed services. App-V applications have the benefit of never needing to be installed directly on the end user's computer and never conflicting with other applications.

In this instructor-led, live training, 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.

Format of the course

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

Notes:

• This course covers version 5.1 of App-V. If you need training on a different version, please contact us to arrange.
• This course is focused on App Virtualization and does not cover other MDOP components.

Apache Karaf is an OSGi based runtime for deploying containerized applications.

In this instructor-led, live training (onsite or remote), participants will learn how to set up an OSGi based project as they step 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 containerized application using the Apache Karaf run time 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.

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.

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.

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.

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.

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.

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.