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bgrant0607's profile
Brian Grant
Brian Grant
Brian Grant
@bgrant0607

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Brian Grant

@bgrant0607

Google Cloud. Kubernetes Steering Committee emeritus, K8s SIG Architecture co-Chair emeritus, CNCF TOC member emeritus

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github.com/bgrant0607
Joined June 2014

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    1. Brian Grant‏ @bgrant0607 24 Apr 2019
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      Omega supported an extensible object model, and @davidopp had proposed putting an API in front of the persistent store, as we later did in Kubernetes, but it wasn't declarative. Separate work on a common configuration store was discontinued as Google Cloud became the focus

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    2. Brian Grant‏ @bgrant0607 24 Apr 2019
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      GCP was comprised of independent services, with some common standards, such as the org hierarchy and authz. They used REST APIs, as the rest of the industry, and gRPC didn't exist yet. But, GCP’s APIs were not natively declarative, and Terraform didn’t exist, either

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    3. Brian Grant‏ @bgrant0607 24 Apr 2019
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      @jbeda proposed layering an aggregated config store/service with consistent, declarative CRUD REST APIs over underlying GCP and third-party service APIs. This sort of later evolved into Deployment Manager.

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    4. Brian Grant‏ @bgrant0607 24 Apr 2019
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      We folded learnings from these 5+ systems into the Kubernetes Resource Model, which now supports arbitrarily many built-in types, aggregated APIs, and centralized storage (CRDs), and can be used to configure 1st-party and 3rd-party services, including GCP:http://youtu.be/s_hiFuRDJSE 

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    5. Brian Grant‏ @bgrant0607 24 Apr 2019
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      KRM is consistent and declarative. Metadata and verbs are uniform. Spec and status are distinctly separated. Resource identifiers, modeled closely after Borgmaster’s (http://issues.k8s.io/148 ), provide declarative names. Label selectors enable declarative sets.

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    6. Brian Grant‏ @bgrant0607 24 Apr 2019
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      For the most part, controllers know which fields to propagate from one resource instance to another and wait gracefully on declarative object (rather than field) references, without assuming referential integrity, which enables relaxed operation ordering.

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    7. Brian Grant‏ @bgrant0607 24 Apr 2019
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      There are some gaps in the model (e.g., http://issues.k8s.io/34363 , http://issues.k8s.io/30698 , http://issues.k8s.io/1698 , http://issues.k8s.io/22675 ), but for the most part it facilitates generic operations on arbitrary resource types.

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    8. Brian Grant‏ @bgrant0607 24 Apr 2019
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      In the next thread, I’ll cover more about configuration itself, such as the origin of kubectl apply

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    9. Brian Grant‏ @bgrant0607 24 Apr 2019
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      BTW, when I was digging through old docs/decks, I found a diagram from the Dec 2013 API proposal. Sunit->Pod, SunitPrototype->PodTemplate, Replicate->ReplicaSet, Autoscale->HorizontalPodAutoscaler.pic.twitter.com/oOd84Lzw3B

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    10. Michael Hausenblas‏ @mhausenblas 24 Apr 2019
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      Very cool, as always! Sunit as in shipping unit? Or rather scheduling unit?

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      Brian Grant‏ @bgrant0607 24 Apr 2019
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      Replying to @mhausenblas

      Scheduling Unit

      8:08 AM - 24 Apr 2019
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