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Authors: Daniel Mangum
2022-10-28

tldr - powered by Generative AI

The presentation discusses the challenges of identifying types in a Kubernetes cluster and proposes a solution using package revisions and content addressability of OCI images.
  • Identifiers of types in a Kubernetes cluster are mostly meaningless outside of a single physical cluster
  • Types are not portable and can't be moved across clusters with a guarantee that the syntax has the same semantics
  • Behavior is attached to types in both imperative and declarative programming models
  • Package revisions and content addressability of OCI images can be used to expand the definition of types and include their behavior
  • The demo shows the installation of a type using package revisions and dependencies