Chapter 18
Running pyATS as a Container
The modern era of software development has seen a significant shift toward containerization, a trend that Docker has been at the forefront of. Containerization allows for the packaging of software, including all its dependencies, into a standardized unit for software development. This shift is rooted in the desire for more efficient, reliable, and scalable deployment of applications.
By encapsulating pyATS in a Docker container, developers and engineers can leverage its powerful network testing and automation capabilities in a more streamlined and manageable way. This containerized version of pyATS can be easily deployed and run on any system that supports Docker, on most operating systems and hardware ...
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