tldr - powered by Generative AI

• The goal is to achieve end-to-end interoperability at scale through collaboration and standardization.
• Practitioners at every stage of the MLOps and DataOps lifecycle should collaborate to come up with standards.
• The creation of bad standards is worse than having no standards at all.
• Standardization should focus on interfaces, metrics, and operational considerations.
• Tools like ml server, seldom core, and kubernetes can help abstract data science from operations.

tldr - powered by Generative AI

• Backstage is a platform that helps developers in their job by providing a single portal where everything happens
• It reduces the barrier to building new components inside an organization and makes it easy for engineers to get set up
• It provides software templates that allow for the creation of boilerplate repositories
• It allows for documentation to be stored alongside components and repositories

tldr - powered by Generative AI

• Backstage is an open platform for building developer portals that consolidates all the tooling that developers need in one place.
• It helps manage software ecosystems by creating, maintaining, and exploring software components, systems, and domains.
• Backstage enables better collaboration within teams and across organizations.