Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads. This README provides quickstart instructions on running MinIO on bare metal hardware, including container-based installations. For Kubernetes environments, use the [MinIO Kubernetes Operator](https://github.com/minio/operator/blob/master/README.md)....

    * Default value for expendable pod priority cutoff in GCP deployment of Cluster Autoscaler changed from 0 to -10.
    * action required: users deploying workloads with priority lower than 0 may want to use priority lower than -10 to avoid triggering scale-up.

### Other notable changes

### Bug or Regression

- Add `/sys/devices/virtual/powercap` to default masked paths. It avoids the potential security risk that the ability to read these files may offer a power-based sidechannel attack against any workloads running on the same kernel. ([#125970](https://github.com/kubernetes/kubernetes/pull/125970), [@carlory](https://github.com/carlory)) [SIG Node]
- Fix a bug that Pods could stuck in the unschedulable pod pool 

### Bug or Regression

- Add `/sys/devices/virtual/powercap` to default masked paths. It avoids the potential security risk that the ability to read these files may offer a power-based sidechannel attack against any workloads running on the same kernel. ([#125970](https://github.com/kubernetes/kubernetes/pull/125970), [@carlory](https://github.com/carlory)) [SIG Node]
- Fix a bug that Pods could stuck in the unschedulable pod pool 

			err:              nil,
			excludedPrefixes: []string{"path/to/my/workload/_staging/", "path/to/my/workload/_temporary/"},
		},
		{
			input: `<VersioningConfiguration xmlns="http://s3.amazonaws.com/doc/2006-03-01/">
                                  <Status>Suspended</Status>
                                  <ExcludedPrefixes>
                                    <Prefix>path/to/my/workload/_staging</Prefix>

# Packages, and component versions, can be found here:
# https://learn.microsoft.com/en-us/visualstudio/install/workload-component-id-vs-build-tools
RUN C:\TEMP\vs_community.exe \
        --quiet --wait --norestart --nocache \
        --add Microsoft.VisualStudio.Component.VC.Tools.x86.x64 \
        --add Microsoft.VisualStudio.Workload.NativeDesktop \
        --add Microsoft.VisualStudio.Component.VC.14.39.17.9.x86.64 \

## Major Features and Improvements

*   Support for Python3.9 has been added.
*   `tf.data`:
    *   `tf.data` service now supports strict round-robin reads, which is useful
        for synchronous training workloads where example sizes vary. With strict
        round robin reads, users can guarantee that consumers get similar-sized
        examples in the same step.

# Packages, and component versions, can be found here:
# https://learn.microsoft.com/en-us/visualstudio/install/workload-component-id-vs-build-tools
RUN C:\TEMP\vs_community.exe \
        --quiet --wait --norestart --nocache \
        --add Microsoft.VisualStudio.Component.VC.Tools.x86.x64 \
        --add Microsoft.VisualStudio.Workload.NativeDesktop \
        --add Microsoft.VisualStudio.Component.VC.14.39.17.9.x86.64 \

* das Template
* die Template-Engine

* die Typannotation
* der Typhinweis

* der Serverworker
* der Uvicorn-Worker
* der Gunicorn-Worker
* der Workerprozess
* die Workerklasse
* die Workload

* das Deployment
* deployen

* das SDK
* das Software Development Kit

* der `APIRouter`
* die `requirements.txt`
* das Bearer-Token
* der Breaking Change
* der Bug
* der Button

* task function

* template
* template engine

* type annotation
* type hint

* server worker
* Uvicorn worker
* Gunicorn Worker
* worker process
* worker class
* workload

* deployment
* deploy etmek

* SDK
* software development kit

* `APIRouter`
* `requirements.txt`
* Bearer Token
* breaking change
* bug
* button
* callable
* code