Kubernetes 仙境：平台构建的冒险 | KC23

Kubernetes Wonderland: Adventures in Platform Building- Alexa Griffith & Mauricio "Salaboy" Salatino

Kubernetes 仙境：平台构建的冒险 | Kubernetes Wonderland: Adventures in Platform Building - Alexa Griffith, Bloomberg LP & Mauricio "Salaboy" Salatino, Diagrid

在一个Kubernetes集群上安装数百个工具只有在用户能够从中受益时才有意义。但是，推动工程和数据科学团队学习大量平台工具是否会提高生产力呢？在这个演讲中，Alexa和Mauricio讨论了构建在Kubernetes之上的平台应该向用户展示的不同特性和能力。平台应该提供在Kubernetes之上的抽象，使这些能力更容易被使用，但是抽象Kubernetes的概念可能会很复杂。我们探讨了开发和面向机器学习（针对数据科学家）的平台之间的相似性和差异，以及它们各自的工具和工作流程。通过观察使用不同工具的不同团队，我们能学到什么？这个演讲包括有趣的绘画和实时演示，展示如何使用开源CNCF工具（如Istio、KServe、Dapr、Knative和Crossplane等）构建一个平台。

Installing hundreds of tools on a Kubernetes cluster only makes sense if users can benefit from them. But does pushing your engineering and data science teams to learn a multitude of platform tooling result in higher productivity? In this presentation, Alexa and Mauricio discuss different traits and capabilities that platforms built on top of Kubernetes should expose to their users. Platforms should expose abstractions on top of Kubernetes that make these capabilities easier to consume, but abstracting Kubernetes concepts can be complex. We explore the similarities and differences between Development-and ML-focused (for data scientists) platforms, as well as their respective tools and workflows. What can we learn by looking at different teams who are using different tools? This talk includes fun drawings and a live demo to show how a platform can be constructed using Open Source CNCF tools (e.g., Istio, KServe, Dapr, Knative, and Crossplane, among others).

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