Traditionally, Kubernetes applications are defined with human-readable, static YAML data files which developers write and maintain.
Using Kubernetes, customers are building automated tooling to replace manual processes, implementing operational pipelines for every piece of their infrastructure, and empowering development teams with the ability to get granular control over how their applications run. At AWS, we’ve seen customers rapidly adopt Kubernetes to deploy applications globally, train machine learning models at scale, and standardize how they deliver innovation across data centers and the cloud.
