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). ## Container Installation Use the following commands to run a standalone MinIO server...

    * Fix stop hook failure on kubernetes-worker charm

    * Fix handling of juju kubernetes-worker.restart-needed state

    * Fix nagios checks in charms

  * Enable GPU mode if GPU hardware detected ([#43467](https://github.com/kubernetes/kubernetes/pull/43467), [@tvansteenburgh](https://github.com/tvansteenburgh))

interactions between pods and host resources, and manage the lifecycle
of pods scheduled on a node.

For the 1.8 release, SIG Node continued to focus
on a broad set of workload types, including hardware and performance
sensitive workloads such as data analytics and deep learning. The SIG also
delivered incremental improvements to node reliability.

[SIG Node]: https://github.com/kubernetes/community/tree/master/sig-node

need. The most likely error would be a pod set to `Failed` phase with reason set to `OutOfCpu` or `OutOfMemory`, but any resource on the node that has some fixed limit (including persistent volume counts on cloud nodes, exclusive CPU cores, or unique hardware devices) could trigger the failure. While this behavior is correct it reduces the throughput of pod execution and creates user-visible warnings - [future versions of Kubernetes will minimize the likelihood users see pod failures due to this issu...

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