Using CI/CD to Automate Network Configuration and Deployment

Continuous integration and continuous delivery/deployment (CI/CD) is a set of modern software development practices used for delivering code changes more…

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NVIDIA
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Berkin Kartal
•6 min read•intermediate•
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Overview

The article discusses how Continuous Integration and Continuous Delivery/Deployment (CI/CD) practices can be applied to network automation, particularly with Cumulus Linux and the NVIDIA Air digital twin platform. It emphasizes the benefits of treating network configurations as code to enhance speed, quality, reliability, and scalability in network operations.

What You'll Learn

1

How to automate network configurations using CI/CD practices

2

Why treating network configurations as code improves governance and visibility

3

When to use NVIDIA Air for simulating network environments

Prerequisites & Requirements

  • Basic understanding of CI/CD principles
  • Familiarity with Cumulus Linux and NVIDIA Air(optional)

Key Questions Answered

What is a CI/CD pipeline and how does it benefit network engineers?
A CI/CD pipeline automates the software delivery process by ensuring that code is tested, validated, and deployed across environments in a repeatable and scalable way. For network engineers, this means a more efficient and reliable process for deploying network configurations and automation scripts.
How can network engineers apply CI/CD concepts in practice?
Network engineers can apply CI/CD by treating network configurations as code, using version control for changes, and implementing automated testing and deployment processes. This integration into DevOps workflows enhances visibility and governance.
What tools can be used to automate network configurations with CI/CD?
Tools such as automation scripts, Jinja2 templates, and CI/CD platforms like GitLab are essential for automating network configurations. The .gitlab-ci.yml file is crucial for defining how the pipeline operates.
What are practical use cases for CI/CD and NVIDIA Air in networking?
Practical use cases include config integration, auto-generating labs for workshops, creating shareable templates for partners, and automated testing across diverse topologies. These applications enhance efficiency and reduce manual effort.

Technologies & Tools

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Operating System
Cumulus Linux
Used for network automation and scripting.
Simulation Platform
Nvidia Air
Provides an advanced simulation environment for modern data centers.
CI/CD Platform
Gitlab
Used to manage CI/CD pipelines for network automation.
Template Engine
Jinja2
Used to dynamically generate network configurations.

Key Actionable Insights

1
Integrate CI/CD practices into your network automation workflows to enhance efficiency and reliability.
By treating network configurations as code, you can leverage version control and automated testing, reducing errors and improving deployment speed.
2
Utilize the NVIDIA Air platform for simulating complex network environments to validate configurations before deployment.
This allows for rapid iteration and testing, ensuring that network setups are correct and reducing the risk of misconfigurations in production.
3
Implement automated validation checks in your CI/CD pipeline to catch errors early.
Running show commands and parsing outputs can provide continuous feedback on network health, preventing issues from reaching production.

Common Pitfalls

1
Neglecting to validate configurations before deployment can lead to significant network issues.
Without proper validation, misconfigurations can propagate into production, causing downtime and operational challenges.
2
Failing to treat network configurations as code may result in a lack of traceability and governance.
This can hinder collaboration and make it difficult to track changes, leading to potential errors and inefficiencies.

Related Concepts

Network Automation
Devops Practices
Version Control Systems
Continuous Integration And Continuous Delivery