}
		wg.Add(1)
		go func(tgt *TargetClient) {
			defer wg.Done()

			var tgtInfo replicatedTargetInfo
			if ri.OpType == replication.ObjectReplicationType {
				// all incoming calls go through optimized path.
				tgtInfo = ri.replicateObject(ctx, objectAPI, tgt)
			} else {
				tgtInfo = ri.replicateAll(ctx, objectAPI, tgt)
			}

			mu.Lock()
			rinfos.Targets = append(rinfos.Targets, tgtInfo)

	"github.com/pkg/xattr"
)

const (
	nullVersionID = "null"

	// Small file threshold below which data accompanies metadata from storage layer.
	smallFileThreshold = 128 * humanize.KiByte // Optimized for NVMe/SSDs

	// For hardrives it is possible to set this to a lower value to avoid any
	// spike in latency. But currently we are simply keeping it optimal for SSDs.

- kubeadm will now not fail preflight checks when running on >= 5.0 Linux kernel ([#74355](https://github.com/kubernetes/kubernetes/pull/74355), [@brb](https://github.com/brb))
- Scheduler cache snapshot algorithm has been optimized to improve scheduling throughput. ([#74041](https://github.com/kubernetes/kubernetes/pull/74041), [@bsalamat](https://github.com/bsalamat))

    * Disable the metadata agent for monitored resource construction in logging.
    * Disable timestamp adjustment in logs to optimize performance.
    * Reduce logging agent buffer chunk limit to 512k to optimize performance.

* CoreDNS is now the default DNS server in kube-up deployments.  ([#69883](https://github.com/kubernetes/kubernetes/pull/69883), [@chrisohaver](https://github.com/chrisohaver))
* Optimizes calculating stats when only CPU and Memory stats are returned from Kubelet stats/summary http endpoint.  ([#68841](https://github.com/kubernetes/kubernetes/pull/68841), [@krzysztof-jastrzebski](https://github.com/krzysztof-jastrzebski))

- `kube-proxy` now accepts the `ContextualLogging`, `LoggingAlphaOptions`,
  `LoggingBetaOptions` ([#115233](https://github.com/kubernetes/kubernetes/pull/115233), [@pohly](https://github.com/pohly))
- `kube-scheduler`: Optimized implementation of null `labelSelector` in topology spreading. ([#116607](https://github.com/kubernetes/kubernetes/pull/116607), [@alculquicondor](https://github.com/alculquicondor))

- User can now use component config to configure NodeLabel plugin for the scheduler framework. ([#84297](https://github.com/kubernetes/kubernetes/pull/84297), [@liu-cong](https://github.com/liu-cong))
- Optimize inter-pod affinity preferredDuringSchedulingIgnoredDuringExecution type, up to 4x in some cases. ([#84264](https://github.com/kubernetes/kubernetes/pull/84264), [@ahg-g](https://github.com/ahg-g))

### Additional Notable Feature Updates

- [Topology Manager](https://github.com/kubernetes/enhancements/issues/693), a new Kubelet component, aims to co-ordinate resource assignment decisions to provide optimized resource allocations.
- [IPv4/IPv6 dual-stack](https://kubernetes.io/docs/concepts/services-networking/dual-stack) enables the allocation of both IPv4 and IPv6 addresses to Pods and Services.

m/nolancon/website/blob/f4200307260ea3234540ef13ed80de325e1a7267/content/en/docs/tasks/administer-cluster/topology-manager.md) enables NUMA alignment of CPU and devices (such as SR-IOV VFs) that will allow your workload to run in an environment optimized for low-latency. Prior to the introduction of the Topology Manager, the CPU and Device Manager would make resource allocation decisions independent of each other. This could result in undesirable allocations on multi-socket systems, causing degraded...

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