Yesterday, I participated in a screen-cast with Derick Winkworth, aka @CloudToad, to discuss my blog posts about installing NRE Labs Antidote network emulator on your PC and creating lessons for NRE Labs. We also covered some general points like contributing to communities, how to get started blogging about technical topics, and more. Check it out, below:

This video, and other NRE Labs videos are available on YouTube. Also, the NRE Labs team runs a live screen-cast every Monday at 1:00 PM using the Discord app. Join the NRE Labs Discord channel and engage in the discussion.

The Antidote network emulator, part of the Network Reliability Engineering project, offers a web interface that presents network emulation scenarios to users as documented lessons. Each lesson is presented in a window running Jupyter Notebooks and contains commands that the user can click on to run them on the virtual nodes in the network emulation scenario.

nrelabs lessons

The NRE Labs developers intend for Antidote to be used as an educational tool. Its lesson-focused user interface supports students’ learning progress. This post is a tutorial showing how to create and test two simple, but different, Antidote lessons.

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Antidote is a network emulator combined with a presentation framework. It was designed to create and deliver networking technology training. Its user interface operates in a web browser, including the terminals that students use to run commands on emulated network devices and servers.

Antidote is the engine that runs the Network Reliability Labs web site. Antidote is an open-source project, released under the Apache license. A standalone version of Antidote may be installed and run on your personal computer using the selfmedicate script. In this post, I will install Antidote and configure it to improve Antidote performance on my Linux system.

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Wistar is an open-source network emulator originally developed by Juniper Networks and released under the Apache license. It simplifies the presentation of Juniper products on its graphical user interface by making the multiple VMs that make up each JunOS virtual router appear as one node in the network topology.

Wistar also supports Linux virtual machines and, interestingly, uses cloud-init to configure Linux routers from the Wistar user interface. Wistar also supports generic virtual appliances, in a basic way. In this post, I will install Wistar and use it to work through two examples using open source routers.

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Vrnetlab, or VR Network Lab, is an open-source network emulator that runs virtual routers using KVM and Docker. Software developers and network engineers use vrnetlab, along with continuous-integration processes, for testing network provisioning changes in a virtual network. Researchers and engineers may also use the vrnetlab command line interface to create and modify network emulation labs in an interactive way. In this post, I review vrnetlab’s main features and show how to use it to create a simple network emulation scenario using open-source routers.

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In this post, I demonstrate how to create a network emulation scenario using Libvirt, the Qemu/KVM hypervisor, and Linux bridges to create and manage interconnected virtual machines on a host system. As I do so, I will share what I have learned about network virtualization on a Linux system.

Libvirt provides a command-line interface that hides the low-level virtualization and networking details, enabling one to easily create and manage virtual networking scenarios. It is already used as a basis for some existing network emulators, and other applications and tools. It is available in almost every Linux distribution.

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Are you like me? Are you a network engineer, or other professional, transitioning their skill set to include programming and automation? Does your programming experience experience come from a few programming courses you attended in college a long time ago? Then please read on because I created this Python guide for people like you and me.

In this guide, I explain the absolute minimum amount you need to learn about Python required to create useful programs. Follow this guide to get a very short, but functional, overview of Python programming in less than one hour.

When you begin using Python, there are a lot of topics you do not need to know so I omit them from this guide. However, I don’t want you to have to unlearn misconceptions later, when you become more experienced, so I include some Python concepts that other beginner guides might skip, such as the Python object model. This guide is “simple” but it is also “correct”.

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Microsoft Azure unofficially supports nested virtualization using KVM on Linux virtual machines, which makes it possible to build network emulation scenarios in the cloud using the same technologies you would use if you were using your own PC or a local server.

In this post, I will show you how to set up a Linux virtual machine in Microsoft Azure and then create a nested virtual machine inside the Azure virtual machine. This is a simple example, but you may use the same procedure as a starting point to create more complex network emulation scenarios using nested virtualization.

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Many open-source network simulation and emulation tools use full virtualization technologies like VMware, QEMU/KVM, or VirtualBox. These technologies require hardware support for virtualization such as Intel’s VT-x and AMD’s AMD-V. To gain direct access to this hardware support, researchers usually run network emulation test beds on their own PCs or servers but could not take advantage of the inexpensive and flexible computing services offered by cloud providers like Amazon EC2, Google Compute Engine, or Microsoft Azure.

Creative Commons copyright: From

By August 2017, most of the major cloud service providers announced support for nested virtualization. In the cloud context, Nested Virtualization is an advanced feature aimed at enterprises, but it is also very useful for building network emulation test beds. I’ve written about nested virtualization for servers before but, until recently, I was limited to running nested virtual machines on my own PC. Now that the major cloud providers support nested virtualization, I can build more complex network emulation scenarios using cloud servers.

This post will discuss the cloud service providers that support nested virtualization and how this feature supports open source networking simulation and emulation in the cloud.

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Google Cloud Platform introduced nested virtualization support in September 2017. Nested virtualization is especially interesting to network emulation research since it allow users to run unmodified versions of popular network emulation tools like GNS3, EVE-NG, and Cloonix on a cloud instance.

Google Cloud supports nested virtualization using the KVM hypervisor on Linux instances. It does not support other hypervisors like VMware ESX or Xen, and it does not support nested virtualization for Windows instances.

In this post, I show how I set up nested virtualization in Google Cloud and I test the performance of nested virtual machines running on a Google Cloud VM instance.

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This tutorial shows how to set up the Cloonix network emulator on a server. It builds on top of my previous post about how to set up a virtualization server on Now, I focus on a specific case: setting up the Cloonix network emulator on the virtualization server. You should read my previous post before reading this one.

Running Cloonix on a remote server enables users to work with more complex network emulation scenarios than would be possible on a standard laptop computer. For example. Cloonix recently added a feature which allows users to run Cisco router images in a Cloonix network emulation scenario. Cisco router images require a large amount of computer resources so I cannot run more than a few on my personal laptop computer. If I use a remote Packet server, I could run dozens of Cisco images in a network emulation scenario if I wanted to.

In this post, I will set up a Cloonix network emulation server on so it can be started, stopped, and restarted relatively quickly.

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Packet is a hardware-as-a-service vendor that provides dedicated servers on demand at very low cost. For me and my readers, Packet offers a solution to the problem of using cloud services to run complex network emulation scenarios that require hardware-level support for virtualization. Packet users may access powerful servers that empower them to perform activities they could not run on a normal personal computer.

In this post, I will describe the procedure to set up an on-demand bare metal server and to create and maintain persistent data storage for applications. I will describe a generic procedure that can be applied to any application and that works for users who access Packet services from a laptop computer running any of the common operating systems: Windows, Mac, and Linux. In a future post, I will describe how I run network emulation scenarios on a Packet server.

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