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cmd/bucket-replication.go
// PersistToDisk persists in-memory resync metadata stats to disk at periodic intervals func (s *replicationResyncer) PersistToDisk(ctx context.Context, objectAPI ObjectLayer) { resyncTimer := time.NewTimer(resyncTimeInterval) defer resyncTimer.Stop() // For each bucket name, store the last timestamp of the // successful save of replication status in the backend disks. lastResyncStatusSave := make(map[string]time.Time)
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Fri Aug 29 02:39:48 UTC 2025 - 118K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.6.md
- [kube-controller-manager](#kube-controller-manager) - [kube-dns](#kube-dns) - [kube-proxy](#kube-proxy) - [Scheduler](#scheduler) - [Volume Plugins](#volume-plugins) - [Azure Disk](#azure-disk) - [GlusterFS](#glusterfs) - [Photon](#photon) - [rbd](#rbd) - [vSphere](#vsphere-1) - [Other Notable Changes](#other-notable-changes-15)
Registered: Fri Sep 05 09:05:11 UTC 2025 - Last Modified: Thu Dec 24 02:28:26 UTC 2020 - 304K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.9.md
* Fixed an issue with Azure disk mount failures on CoreOS and some other distros ([#54334](https://github.com/kubernetes/kubernetes/pull/54334),[ @andyzhangx](https://github.com/andyzhangx)) * GRS, RAGRS storage account types are now supported for Azure disks. ([#55931](https://github.com/kubernetes/kubernetes/pull/55931),[ @andyzhangx](https://github.com/andyzhangx))
Registered: Fri Sep 05 09:05:11 UTC 2025 - Last Modified: Tue Nov 16 10:46:27 UTC 2021 - 313.7K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.19.md
- kind: StorageClass - apiVersion: storage.k8s.io/v1 - metadata: - name: shared-disk - provisioner: kubernetes.io/azure-disk - parameters: - skuname: Premium_LRS # Currently only available with premium SSDs. - cachingMode: None # ReadOnly host caching is not available for premium SSDs with maxShares>1
Registered: Fri Sep 05 09:05:11 UTC 2025 - Last Modified: Wed Jan 05 05:42:32 UTC 2022 - 489.7K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.16.md
- Fix: GetLabelsForVolume panic issue for azure disk PV ([#92166](https://github.com/kubernetes/kubernetes/pull/92166), [@andyzhangx](https://github.com/andyzhangx)) [SIG Cloud Provider] - Fix: use force detach for azure disk ([#91948](https://github.com/kubernetes/kubernetes/pull/91948), [@andyzhangx](https://github.com/andyzhangx)) [SIG Cloud Provider]
Registered: Fri Sep 05 09:05:11 UTC 2025 - Last Modified: Wed Oct 23 20:13:20 UTC 2024 - 345.2K bytes - Viewed (0) -
cmd/xl-storage-disk-id-check.go
lastSuccess int64 // atomic time of last time a token was grabbed. lastStarted int64 // Atomic status of disk. status atomic.Int32 // Atomic number indicates if a disk is hung waiting atomic.Int32 } // newDiskHealthTracker creates a new disk health tracker. func newDiskHealthTracker() *diskHealthTracker { d := diskHealthTracker{ lastSuccess: time.Now().UnixNano(),
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Fri Apr 25 05:41:04 UTC 2025 - 34.5K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.17.md
- Fix azure disk attach failure for disk size bigger than 4TB ([#95463](https://github.com/kubernetes/kubernetes/pull/95463), [@andyzhangx](https://github.com/andyzhangx)) [SIG Cloud Provider]
Registered: Fri Sep 05 09:05:11 UTC 2025 - Last Modified: Thu Jan 28 10:44:33 UTC 2021 - 346.2K bytes - Viewed (1) -
CHANGELOG/CHANGELOG-1.7.md
* Note: this fixes some issues with the previous implementation of metrics for disks: * Time duration tracked was of the initial API call, not the entire operation. * Metrics label tuple would have resulted in many independent histograms stored, one for each disk. (Did not aggregate well).
Registered: Fri Sep 05 09:05:11 UTC 2025 - Last Modified: Thu May 05 13:44:43 UTC 2022 - 308.7K bytes - Viewed (1) -
CHANGELOG/CHANGELOG-1.5.md
* Bump GCE ContainerVM to container-vm-v20170201 to address CVE-2016-9962. ([#40828](https://github.com/kubernetes/kubernetes/pull/40828), [@zmerlynn](https://github.com/zmerlynn)) * Reduce time needed to attach Azure disks ([#40066](https://github.com/kubernetes/kubernetes/pull/40066), [@codablock](https://github.com/codablock))
Registered: Fri Sep 05 09:05:11 UTC 2025 - Last Modified: Thu Dec 24 02:28:26 UTC 2020 - 136.4K bytes - Viewed (0) -
SECURITY.md
# Using TensorFlow Securely This document discusses the TensorFlow security model. It describes the security risks to consider when using models, checkpoints or input data for training or serving. We also provide guidelines on what constitutes a vulnerability in TensorFlow and how to report them. This document applies to other repositories in the TensorFlow organization, covering security practices for the entirety of the TensorFlow ecosystem.
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Wed Oct 16 16:10:43 UTC 2024 - 9.6K bytes - Viewed (0)