Kubernetes is capable of automatically creating dependent compute resources, including storage volumes, before starting your applications.
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Replying to @kelseyhightower
Services get the same treatment. Deployments and Services are decoupled by design. One service can target multiple deployments.
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Replying to @kelseyhightower
When you define a Kubernetes service a lot needs to happen, but most of it can be done asynchronously. This is where control loops come in.
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Replying to @kelseyhightower
Control loops go beyond initial provisioning and provide active management of resources. Your desired state is enforced continuously.
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Replying to @kelseyhightower
But it goes deeper than that. In many cases the control loops must work with other parts of the Kubernetes system to get things right.
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Replying to @kelseyhightower
Deployments and Services don't paint the whole picture. Initializers can modify desired state based on policy.https://kubernetes.io/docs/admin/extensible-admission-controllers/ …
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Replying to @kelseyhightower
I'm not saying using Terraform to generate Kubernetes configs is a bad thing. Almost anything is an improvement over managing YAML files.
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Replying to @kelseyhightower
Representing
#K8s configuration as API resources opens the door to programmatic manipulation, among other benefits.https://goo.gl/T66ZcD2 replies 7 retweets 31 likes -
Replying to @bgrant0607 @kelseyhightower
Read this in its entirety earlier tonight, and I really like what you lay out. Definitely addresses the problems I have as a heavy Helm user
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I agree with a lot but I'm not quite sold on the strawman for "overlays"
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Overlays share many foundations with kubectl apply, controllers, and other existing mechanisms, but I agree we need to try on real examples.
9:01 PM - 23 Aug 2017
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