• Author : Michael Kashin

 
 

Network CI/CD Part 3 – Building a network CI pipeline with Gitlab, Ansible, cEOS, Robot Framework and Batfish

Previously on Network CI/CD… We’ve kicked off this series with an overview of cEOS-lab and different container orchestration tools that can be used for network simulations. In the second post we’ve seen how to automate network verification and testing with Arista’s Robot framework library. In this final post, we’ll put it all together to demonstrate a simple data centre network CI pipeline that will run through a sequence of stages to build and test every new configuration change. Introduction Let’s take a typical data centre leaf-spine network as an example and let’s assume that Leaf-1/2 and Spine-1/2 are already built...
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Network CI/CD Part 2 – Automated Testing with Robot Framework library for Arista devices

Previously on Network CI/CD Part 1… We’ve established that lack of simulated test environments and automated test tools are among the inhibitors in a transition from a traditional network operation model to a DevOps workflow, where all changes are verified and tested prior to being deployed in production. We’ve seen how to solve the first problem with Arista’s cEOS-Lab docker container and a simple container orchestration tool. We’ve shown how the new containerised EOS allows us to dramatically increase the number of nodes we can deploy on a single host and decrease the total build and boot time compared to VM orchestration methods, e.g. the ones based on...
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Network CI/CD Part 1 – Building network topologies with Docker and cEOS-lab

Introduction As the networking industry continues riding the DevOps wave and network engineers become more comfortable using automation tools like Ansible and Salt, network still remains the most brittle piece of IT infrastructure. Partially this can be justified by the fact that network underpins all other areas of IT infrastructure stack – compute, storage and virtualisation. However we, as network engineers, have done very little to improve our confidence in networks and until now some of the biggest outages were caused by trivial network configuration mistakes. When software industry was facing similar challenges, the response was to create Continuous Integration (CI) pipelines –...
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