Automatic merge from submit-queue (batch tested with PRs 40081, 39951)
Passing correct master address to kubemark NPD & authenticating+authorizing it with apiserver
Fixes#39245
Fixes https://github.com/kubernetes/node-problem-detector/issues/50
Added RBAC for npd and fixed issue with the npd falling back to inClusterConfig.
cc @kubernetes/sig-scalability-misc @wojtek-t @gmarek
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
```
Automatic merge from submit-queue
Enable lazy initialization of ext3/ext4 filesystems
**What this PR does / why we need it**: It enables lazy inode table and journal initialization in ext3 and ext4.
**Which issue this PR fixes** *(optional, in `fixes #<issue number>(, fixes #<issue_number>, ...)` format, will close that issue when PR gets merged)*: fixes#30752, fixes#30240
**Release note**:
```release-note
Enable lazy inode table and journal initialization for ext3 and ext4
```
**Special notes for your reviewer**:
This PR removes the extended options to mkfs.ext3/mkfs.ext4, so that the defaults (enabled) for lazy initialization are used.
These extended options come from a script that was historically located at */usr/share/google/safe_format_and_mount* and later ported to GO so this dependency to the script could be removed. After some search, I found the original script here: https://github.com/GoogleCloudPlatform/compute-image-packages/blob/legacy/google-startup-scripts/usr/share/google/safe_format_and_mount
Checking the history of this script, I found the commit [Disable lazy init of inode table and journal.](4d7346f7f5). This one introduces the extended flags with this description:
```
Now that discard with guaranteed zeroing is supported by PD,
initializing them is really fast and prevents perf from being affected
when the filesystem is first mounted.
```
The problem is, that this is not true for all cloud providers and all disk types, e.g. Azure and AWS. I only tested with magnetic disks on Azure and AWS, so maybe it's different for SSDs on these cloud providers. The result is that this performance optimization dramatically increases the time needed to format a disk in such cases.
When mkfs.ext4 is told to not lazily initialize the inode tables and the check for guaranteed zeroing on discard fails, it falls back to a very naive implementation that simply loops and writes zeroed buffers to the disk. Performance on this highly depends on free memory and also uses up all this free memory for write caching, reducing performance of everything else in the system.
As of https://github.com/kubernetes/kubernetes/issues/30752, there is also something inside kubelet that somehow degrades performance of all this. It's however not exactly known what it is but I'd assume it has something to do with cgroups throttling IO or memory.
I checked the kernel code for lazy inode table initialization. The nice thing is, that the kernel also does the guaranteed zeroing on discard check. If it is guaranteed, the kernel uses discard for the lazy initialization, which should finish in a just few seconds. If it is not guaranteed, it falls back to using *bio*s, which does not require the use of the write cache. The result is, that free memory is not required and not touched, thus performance is maxed and the system does not suffer.
As the original reason for disabling lazy init was a performance optimization and the kernel already does this optimization by default (and in a much better way), I'd suggest to completely remove these flags and rely on the kernel to do it in the best way.
Automatic merge from submit-queue
Updated kubemark with RBAC for controllers, proxy and kubelet
Fixes issue #39244
@kubernetes/sig-scalability-misc @wojtek-t @gmarek
Automatic merge from submit-queue (batch tested with PRs 36229, 39450)
Bump etcd to 3.0.14 and switch to v3 API in etcd.
Ref #20504
**Release note**:
```release-note
Switch default etcd version to 3.0.14.
Switch default storage backend flag in apiserver to `etcd3` mode.
```
