onsole.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-scheduler) | [amd64](https://console.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-scheduler-amd64), [arm](https://console.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-scheduler-arm), [arm64](https://console.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-scheduler-arm64), [ppc64le](https://console.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-scheduler-ppc64le), [s390x](https://console.cloud.google....

- Azure VMSS/VMSSVM clients now suppress requests on throttling ([#86740](https://github.com/kubernetes/kubernetes/pull/86740), [@feiskyer](https://github.com/feiskyer)) [SIG Cloud Provider]
- Azure cloud provider cache TTL is configurable, list of the azure cloud provider is as following:
  - "availabilitySetNodesCacheTTLInSeconds"

                        // of block_size.
  std::unique_ptr<ExpiringLRUCache<GcsFileStat>> stat_cache;
  GCSFile(google::cloud::storage::Client&& gcs_client);
  // This constructor is used for testing purpose only.
  GCSFile(google::cloud::storage::Client&& gcs_client, bool compose,
          uint64_t block_size, size_t max_bytes, uint64_t max_staleness,
          uint64_t stat_cache_max_age, size_t stat_cache_max_entries);

1. [Standalone Deployment](#standalone-deployment)
2. [Distributed Deployment](#distributed-deployment)
3. [Cloud Scale Deployment](#cloud-scale-deployment)

## 1. Standalone Deployment

To host multiple tenants on a single machine, run one MinIO Server per tenant with a dedicated HTTPS port, configuration, and data directory.

## Known Issues

### Summary API in kubelet doesn't have accelerator metrics

* **Cloud services** that handle this for you
    * The cloud service will probably **handle replication for you**. It would possibly let you define **a process to run**, or a **container image** to use, in any case, it would most probably be **a single Uvicorn process**, and the cloud service would be in charge of replicating it.

!!! tip

        "//tensorflow/c:env",
        "//tensorflow/c:logging",
        "//tensorflow/c:tf_status",
        "//tensorflow/c/experimental/filesystem:filesystem_interface",
        "@com_github_googlecloudplatform_google_cloud_cpp//:storage_client",
        "@com_google_absl//absl/strings",
        "@com_google_absl//absl/types:variant",
    ],
)

cc_library(
    name = "gcs_helper",
    srcs = ["gcs_helper.cc"],

- Provides a fix to allow a cluster in a private Azure cloud to authenticate to ACR in the same cloud. ([#90425](https://github.com/kubernetes/kubernetes/pull/90425), [@DavidParks8](https://github.com/DavidParks8)) [SIG Cloud Provider]

fr-par-1.baremetal.scw.cloud
fr-par-2.baremetal.scw.cloud
nl-ams-1.baremetal.scw.cloud
fnc.fr-par.scw.cloud
functions.fnc.fr-par.scw.cloud
k8s.fr-par.scw.cloud
nodes.k8s.fr-par.scw.cloud
s3.fr-par.scw.cloud
s3-website.fr-par.scw.cloud
whm.fr-par.scw.cloud
priv.instances.scw.cloud
pub.instances.scw.cloud
k8s.scw.cloud
k8s.nl-ams.scw.cloud

      release="${RELEASE}" \
      summary="MinIO is a High Performance Object Storage, API compatible with Amazon S3 cloud storage service." \
      description="MinIO object storage is fundamentally different. Designed for performance and the S3 API, it is 100% open-source. MinIO is ideal for large, private cloud environments with stringent security requirements and delivers mission-critical availability across a diverse range of workloads."