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VXLAN-EVPN Lab with ContainerLab

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Overview

This project provides a hands-on lab environment for understanding and experimenting with VXLAN-EVPN (Ethernet VPN) technology. Using ContainerLab, the lab sets up a VXLAN topology featuring 1 spine and 2 leaves nodes. The lab can be deployed directly on a PC with ContainerLab installed or through a DevContainer environment.

Project Structure

The project directory is structured as follows:

  • .devcontainer/devcontainer.json: Configuration for the DevContainer environment.
  • hosts: Directory containing host configuration files for the lab.
  • network_images/ceos-lab-4.30.3M.tar.xz: Container image used for the lab nodes.
  • lab_vxlan.yml: YAML file describing the VXLAN lab topology.

Prerequisites

  • Docker and Docker Compose (for DevContainer setup).
  • ContainerLab installed either on the host or within the DevContainer.
  • Basic understanding of networking and VXLAN-EVPN concepts.

Setup and Deployment

  1. DevContainer Setup (Optional):
    If using DevContainer, ensure Docker and Docker Compose are installed on your machine.
    Open the project in a compatible IDE (like Visual Studio Code) and start the DevContainer environment.

  2. ContainerLab Setup:

    • Direct Installation: Install ContainerLab on your host machine.
    • Via Terraform, documentation avalaible here
  3. Start the Lab:

    • Navigate to the project directory.
    • Run containerlab deploy -t lab_vxlan.yml to deploy the lab topology.

Usage

  • Once the lab is deployed, you can access the individual nodes (spines and leaves) via CLI or SSH to configure and test VXLAN-EVPN functionalities.
  • Use the hosts directory to modify or apply specific configurations.

Project evolution

To Do

  • Enable Features
  • Set MTU
  • Map VLAN to VNI
  • Routed Link
  • Host Ports
  • Loopback interfaces
Description
This project provides a hands-on lab environment for understanding and experimenting with VXLAN-EVPN (Ethernet VPN) technology. sing ContainerLab, the lab sets up a VXLAN topology featuring 1 spine and 2 leaves nodes. The lab can be deployed directly on a PC with ContainerLab installed or through a DevContainer environment.
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