Containers and Virtual Machines (VMs) Training Courses

Containers and Virtual Machines (VMs) Training Courses

Local, instructor-led live Containers and Virtual Machines (VMs) training courses demonstrate through hands-on practice the fundamentals and advanced topics of Containers and Virtual Machines (VMs).

Containers and Virtual Machines (VMs) training is available as "onsite live training" or "remote live training". Onsite live Containers and Virtual Machines (VMs) trainings in New Zealand can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.

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Containers and Virtual Machines (VMs) Subcategories

LXC Training CoursesLXC
Rancher Training CoursesRancher
Apache Karaf Training CoursesApache Karaf
Kata Containers Training CoursesKata Containers
OpenShift Training CoursesOpenShift
Kubernetes Training CoursesKubernetes
Docker Training CoursesDocker
App-V Training CoursesApp-V

Containers and Virtual Machines (VMs) Course Outlines

Title
Duration
Overview
Title
Duration
Overview

Advanced Docker

14 hours
Overview
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.

Building Microservices with Spring Cloud and Docker

21 hours
Overview
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

Kubernetes from Basic to Advanced

14 hours
Overview
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.

Kubernetes Advanced

14 hours
Overview
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.

Kubernetes on AWS

14 hours
Overview
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.

Kubernetes on Azure (AKS)

14 hours
Overview
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.

Kubernetes Design Patterns

21 hours
Overview
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.

Choosing a Kubernetes Solution

14 hours
Overview
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.

Introduction to Linux Containers (LXC)

7 hours
Overview
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.

Moby Project

7 hours
Overview
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

Deploying Kubernetes Applications with Helm

7 hours
Overview
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/

OpenShift for Administrators

21 hours
Overview
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 for Developers

21 hours
Overview
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: Operating System for the Cloud

7 hours
Overview
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

Monitoring Kubernetes with Prometheus

21 hours
Overview
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.

Virtualization with QEMU, KVM and Libvirt

14 hours
Overview
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.

Managing Kubernetes with Rancher

14 hours
Overview
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: Just Enough OS to Run Docker

7 hours
Overview
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

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

rkt: Moving from Docker Containers to rkt Containers

7 hours
Overview
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

Kata Containers

14 hours
Overview
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/

Google Kubernetes Engine

14 hours
Overview
Google Kubernetes Engine 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

7 hours
Overview
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

Container management with Docker

21 hours
Overview
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.

Building OSGi Applications with Apache Karaf

21 hours
Overview


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 App-V: Implementing Enterprise Desktop Virtualization

28 hours
Overview
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.

App-V: Advanced Techniques and Troubleshooting

21 hours
Overview
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.

Introduction to Container Runtimes

14 hours
Overview
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to set up, deploy and manage a non-Docker container runtime within Kubernetes.

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

- Install and configure the CRI plugin API for Kubernetes.
- Understand the Open Container Initiative (OCI) standards that insure interoperability among different runtimes.
- Run different (Docker and non-Docker) runtimes from within Kubernetes.
- Implement lightweight virtualization and other isolation techniques to increase security.

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.

Container Linux: Deploy and Monitor Containerized Applications at Scale

7 hours
Overview
CoreOS Container Linux is an open-source lightweight operating system based on the Linux kernel. It provides infrastructure to clustered deployments and focuses on automation, ease of application deployment, security, reliability and scalability. Container Linux provides minimal functionality for deploying applications inside software containers and includes built-in mechanisms for service discovery and configuration sharing.

This training introduces Container Linux's design philosophy, tools, and components and walks participants step-by-step through the setup of Container Linux and its services in a live working environment.

Audience

- System administrators
- DevOps engineers

Format of the course

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

Running Containers Directly from Kubernetes with CRI-O

14 hours
Overview
This instructor-led, live training (onsite or remote) 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/.

DC/OS

14 hours
Overview
The Datacenter Operating System (DC/OS) is an open-source distributed operating system built upon the Apache Mesos project. Apache Mesos was built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications such as Hadoop, Spark, Kafka and Elasticsearch with API’s for resource management and scheduling across entire datacenter and cloud environments. Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines (physical or virtual), enabling fault-tolerant and elastic distributed systems to easily be built and run effectively.

DC/OS brings together Mesos and more than 30 applications into one coherent system, similar to how a Linux distribution packages the Linux kernel with applications to create a working operating system.

This course provides participants with an overview of Apache Mesos and DC/OS and demonstrates through hands-on practice how to deploy and manage a complete Data Center Operating System.

Audience

- System administrators
- DevOps engineers

Format of the course

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

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