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". The US onsite live Containers and Virtual Machines (VMs) trainings 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.

NobleProg -- Your Local Training Provider

Testimonials

★★★★★

Very good information and well presented.

Cerner Corporation

Course: Docker for Developers and System Administrators

Learning about a subject, and then working through the labs hands-on was very helpful.

NetApp

Course: Docker and Kubernetes

I enjoyed the training material, the pace, Karls knowledge on K8s.

ajay malhotra - NetApp

Course: Docker and Kubernetes

Very knowledgeable, hands-on exercizes.

NetApp

Course: Docker and Kubernetes

Left us with course material which will be really useful later.

NetApp

Course: Docker and Kubernetes

I was benefit from the lots of great info on how to work with k8s.

NetApp

Course: Docker and Kubernetes

The labs do an okay job of introducing fluency in the kubernetes administration structure (e.g. commands to run, logs to view, etc.) and will help students to have a good basis for debugging a kubernetes system.

NetApp

Course: Docker and Kubernetes

I liked the doing lots of Labs and Handson Bonus on Ingress Great Rapport with everyone Starting and finishing every section on time. Neatly planned Great concepts.

Suresh Sanka - NetApp

Course: Docker and Kubernetes

I genuinely enjoyed the lecture and trainer interaction.

Matt - NetApp

Course: Docker and Kubernetes

I liked the instructors pace and the ability to answer questions. He was very patient and knowledgeable. I also like the fact that the labs weren't cumulative. This way, if something goes awry in an earlier lab, it isn't required in subsequent labs.

NetApp

Course: Docker and Kubernetes

It was a firehose of info about kubernetes.

Paul Brunck - NetApp

Course: Docker and Kubernetes

I liked working with GCE. It would have been much easier to make labs based on Minikube but the understanding of scale wouldn't have been as good.

NetApp

Course: Docker and Kubernetes

I liked the went deeper than what i've seen online, hands-on content.

Vince Taluskie - NetApp

Course: Docker and Kubernetes

I liked that we each had our own machines to play with.

NetApp

Course: Docker and Kubernetes

I generally liked the hands-on.

NetApp

Course: Docker and Kubernetes

The instructor really knew his stuff.

NetApp

Course: Docker and Kubernetes

I generally was benefit from the hands-on experience.

Chris Cochran - NetApp

Course: Docker and Kubernetes

The real examples and the practices.

Leonel Vazquez - Continental Automotive

Course: Docker and Kubernetes

That tools were provided by trainier for all of us.

Continental Automotive

Course: Docker and Kubernetes

I liked the experience that the trainer had to resolve the issues that appeared.

Rafael Patiño - Continental Automotive

Course: Docker and Kubernetes

All practice was 100% command line, for my perspective its better

Justin Morales - Continental Automotive

Course: Docker and Kubernetes

just getting a good intro to Kubernetes

Applied Systems, Inc.

Course: Kubernetes from Basic to Advanced

new topic - always good to learn something new

Michael Legg - Applied Systems, Inc.

Course: Kubernetes from Basic to Advanced

Trainer was very knowledgeable and engaged in answering questions and troubleshooting issues that came up for everyone.

Applied Systems, Inc.

Course: Kubernetes from Basic to Advanced

Trainer knew the subject very well. Was able to improvise when needed. Really good exercizes.

TriOptima AB

Course: Docker and Kubernetes

Kamil was very knowledgeable about the topic!

Martin Barksten - TriOptima AB

Course: Docker and Kubernetes

That the trainer was able to adapt to specific questions/situations

Inforit BV

Course: Kubernetes on Azure (AKS)

There are plenty of hands-on exercizes which help me understand the subject better.

Credit Suisse

Course: Docker and Kubernetes

The structure of the course is very well planned. Concepts were taught from basic to advanced in a good pace.

Credit Suisse

Course: Docker and Kubernetes

clear explanation and with practices for each topics

Credit Suisse

Course: Docker and Kubernetes

the pace and the teaching flow

George Jor - Credit Suisse

Course: Docker and Kubernetes

Relaxed pace and good structure

Rohan Madhwal - Credit Suisse

Course: Docker and Kubernetes

To me it seemed very well paced and structured, with good balance between theory and assignments / examples. Overall very happy.

Matti Jauhiainen - Credit Suisse

Course: Docker and Kubernetes

The tutor is very interactive, responsive and knowledgeable.

Credit Suisse

Course: Docker and Kubernetes

The labs and the discussion.

Synchronoss Software Ireland Limited

Course: Docker and Kubernetes

Relaxed, easy going pace.

Synchronoss Software Ireland Limited

Course: Docker and Kubernetes

The exercize VMs were working quite well.

Philippe DEPRUGNEY - Synchronoss Software Ireland Limited

Course: Docker and Kubernetes

Resources preparation (VMs and such) and the ability to answer questions

Synchronoss Software Ireland Limited

Course: Docker and Kubernetes

Kamil's pleasant way backed by his knowledge on the subject matter was the best part of this course

Synchronoss Software Ireland Limited

Course: Docker and Kubernetes

The trainer was extremely approachable and helpful and was able to solve any issues that we encountered in the class. Even after he had finished all of the planned course material he still stayed on late to answer questions some people in the course had.

Synchronoss Software Ireland Limited

Course: Docker and Kubernetes

The hands on exercizes

Synchronoss Software Ireland Limited

Course: Docker and Kubernetes

Kamil brought us all from Docker and Kubernetes novices to confident users (if not SMEs!) in just 3 days. He was always approachable and patient in answering my questions. A true gent.

Patrick Kennedy - Synchronoss Software Ireland Limited

Course: Docker and Kubernetes

Exercizes, practical questions answered clearly

Mayeul Marguet - Synchronoss Software Ireland Limited

Course: Docker and Kubernetes

Good mix of practical exercizes and theory, Kamil gave well focussed training tailored to our needs, even though the course content is very wide for 3 days.

Synchronoss Software Ireland Limited

Course: Docker and Kubernetes

The subject, and trainer knowledge

Thiqha Business Services

Course: Docker, Kubernetes and OpenShift for Developers

Being able to run everything that is being taught and to be able to experiment etc.

Kristian Desjardins - Natural Resources Canada (Federal Government)

Course: Container management with Docker

Labs and technical discussions.

Dinesh Panchal - AXA XL

Course: Advanced Docker

The techical knowlegde of the trainer about the subject so he can answer most of the questions.

Synchronoss Software Ireland Limited

Course: Docker and Kubernetes

The exercizes

Van Tonilin Ramos - Temic Automotive Philippines

Course: Docker and Kubernetes

All

Eduardo Darroca Jr - Temic Automotive Philippines

Course: Docker and Kubernetes

Containers and Virtual Machines (VMs) Subcategories

Containers and Virtual Machines (VMs) Course Outlines

Course Name

Duration

Overview

Course Name

Duration

Overview

Advanced Docker

14 hours

Overview

This instructor-led, live training in the US (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.

Building Microservices with Spring Cloud and Docker

21 hours

Overview

In this instructor-led, live training in the US, 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.

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/

Kubeflow

14 hours

Overview

This instructor-led, live training in the US (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.
- 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.

Kubernetes from Basic to Advanced

14 hours

Overview

In this instructor-led, live training in the US (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.

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

This instructor-led, live training in the US (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.

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 in the US (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.

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

PouchContainer

21 hours

Overview

This instructor-led, live training in the US (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.

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

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

RancherOS: Just Enough OS to Run Docker

7 hours

Overview

This instructor-led, live training in the US 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.

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

Creating a Service Mesh with Istio and Kubernetes

14 hours

Overview

This instructor-led, live training in the US (onsite or remote) is aimed at engineers who wish to connect, secure, and manage cloud-based applications (e.g., 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 to 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.

Google Kubernetes Engine (GKE)

14 hours

Overview

In this instructor-led, live training in the US, 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.

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

Flatpak - The Future of Application Distribution

14 hours

Overview

Flatpak is a utility for software deployment, package management, and application virtualization for Linux desktop computer environments. It provides a sandbox environment in which users can run applications in isolation from the rest of the system.

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

Audience

- Developers
- Sysadmins
- Managers

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

In this instructor-led, live training in the US, 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.

App-V: Advanced Techniques and Troubleshooting

21 hours

Overview

In this instructor-led, live training in the US, 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.

Kubernetes Networking with Calico

14 hours

Overview

This instructor-led, live training in the US (onsite or remote) is aimed at engineers who wish to optimize networking for Kubernetes clusters.

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

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

Other regions

Other countries

These courses are also available in other countries ››

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