Containers and Virtual Machines (VMs) Training Courses

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

This instructor-led, live training (onsite or remote) is aimed at engineers who wish to advance their knowledge of Docker so as 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.

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.

Spring Cloud is an open-source lightweight microservices framework for building Java applications for the cloud.

Docker is an open-source platform for building, shipping and running applications inside containers. Docker lends itself well to the creation of microservice applications.

In this instructor-led, live training, participants will learn the fundamentals of building microservices using Spring Cloud and Docker. Participant knowledge is put to the test through exercises and the step-by-step development 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.

Format of the course

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

This instructor-led, live training (onsite or remote) is aimed at developers who wish to build lightweight virtual machines that perform like containers.

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

- Install and configure Kata Containers.
- Create virtual machines (VMs) that plug into a container ecosystem.
- Overcome the shortcomings of standalone containers and virtual machines.
- Deploy applications on top of lightweight VMs that perform like containers, but provide the workload isolation and security of VMs.

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 Kata Containers, please visit: https://katacontainers.io/

Kubeflow is a toolkit for making Machine Learning (ML) on Kubernetes easy, portable and scalable.

This instructor-led, live training (onsite or remote) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes.

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

- Install and configure Kubeflow on premise and in the cloud.
- Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
- Run entire machine learning pipelines on diverse architectures and cloud environments.
- Using Kubeflow to spawn and manage Jupyter notebooks.
- Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.

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 Kubeflow, please visit: https://github.com/kubeflow/kubeflow

Docker is an open-source platform for 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.

In this instructor-led, live training (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.

Format of the course

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

Notes

- Different Docker images can be used as demos in this training (e.g., Nginx, MongoDB, Tomcat, etc.).
- To request specific images or any other customization for this training, please contact us to arrange.

This instructor-led, live training (onsite or remote) 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.

EKS is a self-managed Kubernetes-as-a-service offering from AWS. EKS is fully scalable and customizable and allows a Kubernetes deployment to mimic and/or integrate with an existing on-premise Kubernetes setup.

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

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

- Configure and manage Kubernetes on EKS
- Migrate an existing Kubernetes environment from on-premise to AWS cloud
- Integrate Kubernetes with third-party continuous integration (CI) software
- Ensure high availability and disaster recovery in Kubernetes
- Understand and adopt the tools available to efficiently manage EKS

Audience

- Developers
- System Administrators
- DevOps Engineers

Format of the Course

- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.

Note

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

Azure Kubernetes Service (AKS) is a hosted Kubernetes service that simplifies the deployment and management of a Kubernetes cluster in Azure.

In this instructor-led, live training, 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

Audience

- Developers
- System Administrators
- DevOps Engineers

Format of the Course

- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.

Note

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

The evolution of microservices and containers in recent years has significantly changed how we design, develop, deploy and run software. Modern applications must be optimized for scalability, elasticity, failure, and change. Driven by these new demands, modern architectures require a different set of patterns and practices. In this training, we examine ways to identify, understand and adjust to these new requirements.

Audience
This training is intended for people who are somewhat familiar with container technology and with Kubernetes concepts but are perhaps lacking the real world experience. It is based on use cases, and lessons learnt from real life projects with the intention of making people inspired to create and manage even better cloud native applications.

- Developers
- Operations
- DevOps
- QA Engineers
- IT Project Managers

Format of the Course

- Interactive lecture and discussion
- Lots of exercises and practice
- Handson implementation in a live-lab environment

Course Customization Options

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

Kubernetes can be run on a variety of platforms, from a local server installation, to a virtual or bare-metal server in the cloud, to a SaaS based cloud service. In all cases, the Kubernetes ecosystem includes tools for installing, managing, and testing Kubernetes clusters.

This instructor-led, live training (onsite or remote) is aimed at engineers who wish to evaluate, select and deploy the most appropriate Kubernetes solution for their specific situation.

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

- Install and configure a Kubernetes cluster on premise and in the cloud.
- Evaluate different cloud-hosted Kubernetes solutions and understand the advantages over an self-hosted approach.
- Compare different tools for testing, managing, and monitoring 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.

This course is addressed to Linux professionals (developers and system administrators) as a first introduction to container technologies. The course may also be interesting to people who are already familiar with Docker and want something else to compare it with. It is presented as a lecture with demonstrations that you can follow along on your Linux laptop.

The Moby Project is an open-source library of components for assembling custom container-based systems. It provides a “Lego set” of dozens of components, a framework for assembling them into custom container-based systems, and a place for users to experiment and exchange ideas.

In this instructor-led, live training, participants will learn how to use Moby Project to assemble specialized container systems.

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

- Assemble their own docker engine by stripping out unnecessary components
- Swap out build systems and volume management functions
- Use Moby tooling to define components (OS, hypervisor, etc.), then pack them into a chosen artifact
- Assemble a sample tiny OS that can be booted straight from bare metal

Audience

- Developers
- DevOps
- System administrators

Format of the course

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

This instructor-led, live training (onsite or remote) 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/

In this instructor-led, live training, participants will learn how to install, configure, and manage OpenShift Platform Container.

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

- Create, configure, manage, and troubleshoot OpenShift clusters
- Secure OpenShift Platform Container
- Monitor and gather metrics
- Manage storage
- 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

OpenShift Container Platform is a container application platform for deploying Docker and Kubernetes in the enterprise. It is maintained by Red Hat.

In this instructor-led, live training, 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:

- Automate part of the software delivery pipeline
- Implement user stories for an existing Java EE application
- Deploy an application to an OpenShift instance
- Apply the principles of the DevOps philosophy and enable continuous delivery of an application

Audience

- Developers

Format of the course

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

OSv is an open source operating system for the cloud.

In this instructor-led, live training, participants will learn how OSv compares to conventional virtualization technologies and approaches as they set up an instance of OSv in a lab environment.

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

- Run OSv on minimal memory and cpu overhead, compared to traditional OSs
- Install, configure and troubleshoot OSv
- Reduce the size and number of running OS instances
- Run large applications such as Cassandra on OSv

Audience

- System administrators

Format of the course

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

PouchContainer is a lightweight container engine based on the OCI (Open Container Initiative) standard.

This instructor-led, live training (onsite or remote) is aimed at developers who wish to build, ship, and run containerized applications using PouchContainer.

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

- Install and configure PouchContainer.
- Set up and run a PouchContainer container.
- Use PouchContainer to deploy and manage containerized applications such as servers and web apps.
- Use the Dragonfly P2P-base distribution system to distribute container images at scale.

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 PouchContainer, please visit: https://github.com/alibaba/pouch

This instructor-led, live training (onsite or remote) is aimed at system administrators and developers who wish to use Prometheus to monitor Kubernetes clusters.

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

- Install and configure Prometheus.
- Monitor dynamic cloud environments
- Gain better insight into their Kubernetes clusters
- Set up alerts that are precise and insightful

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 practical course contains topics addressed to system administrators, developers, embedded developers and ordinary desktop users (including managers) who would like to have an introduction to virtualization in general. After this course, administrators will be able to create private clouds for use in production, and developers will be able to test their code on multiple operating systems without needing a second PC or a non-x86 board.

We understand that the set of topics presented in this course covered a wide range of subjects that might not be applicable for all customers. When booking this course, please specify what you wish to achieve using QEMU or KVM, and we will customize it by reallocating time from less relevant topics to the ones that would be important for you.

Rancher is an open source 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

RancherOS is an open-source Linux distribution that runs the entire operating system (including system services such as udev and rsyslog) as Docker containers. RancherOS includes only the bare minimum software needed to run Docker. It runs Docker as PID1 and dynamically pulls everything else it needs through Docker. At about 22MB, RancherOS is easy to distribute, orchestrate and spin up in your data center.

This instructor-led, live training introduces RancherOS's architecture, tools, and components and walks participants step-by-step through the setup of RancherOS in a live lab environment. By the end of this training, participants will have the understanding and practice to use RancherOS to run containers at scale in development, test and production.

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.

rkt is an application container engine for production cloud-native environments. Unlike Docker, rkt executes in the classic Unix process model (there is no central daemon), in a self-contained, isolated environment. rkt implements an open, standard container format and can execute other container images, like those created with Docker. rkt is the default container engine for CoreOS.

This training introduces rkt's architecture and walks participants step-by-step through the deployment of rkt containers in a live lab environment.

Audience

- DevOps engineers
- System administrators
- Software engineers

Format of the course

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

Istio is an open source service mesh for connecting, monitoring, and securing microservices.

This instructor-led, live training (onsite or remote) is aimed at engineers who wish to connect, secure, and manage cloud-based applications (microservices) using an Istio based service mesh.

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

- Install and configure Istio on Kubernetes.
- Understand service meshes and implement one with Istio.
- Deploy an Istio service mesh on top of Kubernetes.
- Use a service mesh to run, manage and monitor microservices in the cloud.

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 Istio, please visit: https://istio.io/

Google Kubernetes Engine (GKE) is a hosted Kubernetes service that simplifies the deployment and management of a Kubernetes cluster in Google Cloud.

In this instructor-led, live training, 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.

Format of the Course

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

Course Customization Options

- Different Docker images can be used as demos in this training (e.g., Nginx, MongoDB, Tomcat, etc.).
- To request specific images or any other customization for this training, please contact us to arrange.

Alpine Linux is a security-oriented, lightweight (80 MB) Linux distribution based on musl libc and BusyBox. Alpine Linux is produced by the makers of Docker and is one of several in the recent proliferation of distros tailored for virtualization, containerization and the cloud. Alpine Linux replaces Ubuntu as the official base image for Docker containers.

This training introduces Alpine Linux's architecture and walks participants step-by-step through the setup of Alpine Linux in a live lab environment. By the end of this training, participants will have the knowledge and practice to deploy Alpine Linux as the foundation for running containers in development, test and production environments.

Audience

- DevOps engineers
- System administrators
- Software engineers

Format of the course

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

Docker is a platform for developers and sysadmins to maintain distributed applications. It consists of a runtime to run containers and a service for sharing containers.

With docker the same app can run unchanged on laptops, dedicated servers and virtual servers.

This course, during the two first days, teaches the basic usage of Docker, useful both for developers and system administrators. The course includes a lot of hands on exercises and the participants will practice in their own Docker environment and build their own Docker images.

On the last day participants will learn about more advanced tools that supports Docker. It will be Docker Machine, Docker Compose and Docker Swarm.

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.

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.

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 (onsite or remote) 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/