Kubernetes Submit Queue b29d9cdbcf Merge pull request #39898 from ixdy/bazel-release-tars
Automatic merge from submit-queue

Build release tars using bazel

**What this PR does / why we need it**: builds equivalents of the various kubernetes release tarballs, solely using bazel.

For example, you can now do
```console
$ make bazel-release
$ hack/e2e.go -v -up -test -down
```

**Special notes for your reviewer**: this is currently dependent on 3b29803eb5, which I have yet to turn into a pull request, since I'm still trying to figure out if this is the best approach.

Basically, the issue comes up with the way we generate the various server docker image tarfiles and load them on nodes:
* we `md5sum` the binary being encapsulated (e.g. kube-proxy) and save that to `$binary.docker_tag` in the server tarball
* we then build the docker image and tag using that md5sum (e.g. `gcr.io/google_containers/kube-proxy:$MD5SUM`)
* we `docker save` this image, which embeds the full tag in the `$binary.tar` file.
* on cluster startup, we `docker load` these tarballs, which are loaded with the tag that we'd created at build time. the nodes then use the `$binary.docker_tag` file to find the right image.

With the current bazel `docker_build` rule, the tag isn't saved in the docker image tar, so the node is unable to find the image after `docker load`ing it.

My changes to the rule save the tag in the docker image tar, though I don't know if there are subtle issues with it. (Maybe we want to only tag when `--stamp` is given?)

Also, the docker images produced by bazel have the timestamp set to the unix epoch, which is not great for debugging. Might be another thing to change with a `--stamp`.

Long story short, we probably need to follow up with bazel folks on the best way to solve this problem.

**Release note**:

```release-note
NONE
```
2017-01-18 14:24:48 -08:00
2017-01-18 10:35:46 -05:00
2017-01-18 10:35:46 -05:00
2016-12-21 09:03:27 -05:00
2017-01-13 16:34:06 -08:00
2017-01-11 23:06:30 -08:00
2016-11-29 01:35:11 -08:00
2017-01-17 16:25:40 -08:00
2016-12-20 08:51:06 -06:00

Kubernetes

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Introduction

Kubernetes is an open source system for managing containerized applications across multiple hosts, providing basic mechanisms for deployment, maintenance, and scaling of applications. Kubernetes is hosted by the Cloud Native Computing Foundation (CNCF)

Kubernetes builds upon a decade and a half of experience at Google running production workloads at scale using a system called Borg, combined with best-of-breed ideas and practices from the community.


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