}

var containsReservedMetadataTests = []struct {
	header     http.Header
	shouldFail bool
}{
	{
		header: http.Header{"X-Minio-Key": []string{"value"}},
	},
	{
		header:     http.Header{crypto.MetaIV: []string{"iv"}},
		shouldFail: false,
	},
	{
		header:     http.Header{crypto.MetaAlgorithm: []string{crypto.InsecureSealAlgorithm}},
		shouldFail: false,
	},
	{

* enable recursive processing in kubectl rollout ([#25110](https://github.com/kubernetes/kubernetes/pull/25110), [@metral](https://github.com/metral))
* Support struct,array,slice types when sorting kubectl output ([#25022](https://github.com/kubernetes/kubernetes/pull/25022), [@zhouhaibing089](https://github.com/zhouhaibing089))

```
~ mc admin config set alias/ scanner
KEY:
scanner  manage namespace scanning for usage calculation, lifecycle, healing and more

ARGS:

                final CIFSContext context = file.getContext();
                final SID[] children = context.getSIDResolver().getGroupMemberSids(context, file.getServer(), sid.getDomainSid(),
                        sid.getRid(), jcifs.smb.SID.SID_FLAG_RESOLVE_SIDS);
                for (final SID child : children) {
                    if (!sidSet.contains(child)) {
                        processAllowedSIDs(file, child, sidSet);

            "type": "datasource",
            "uid": "-- Mixed --"
         },
         "description": "Number of push errors. Many of these are at least potentional fatal and should be explored in-depth via Istiod logs.\nNote: metrics here do not use rate() to avoid missing transition from \"No series\"; series are not reported if there are no errors at all.\n",
         "fieldConfig": {
            "defaults": {
               "custom": {

        .build()
    ```

 *  New: Add `cacheHit`, `cacheMiss`, and `cacheConditionalHit()` events to `EventListener`. Use
    these in logs, metrics, and even test cases to confirm your cache headers are configured as
    expected.

 *  New: Constant string `okhttp3.VERSION`. This is a string like "4.5.0-RC1", "4.5.0", or

	}
	url := fmt.Sprintf("See %s\n", url.DeploymentRequirements)
	if !labels.HasCanonicalServiceName(objLabels) || !labels.HasCanonicalServiceRevision(objLabels) {
		fmt.Fprintf(writer, "deployment %q may not provide Istio metrics and telemetry labels: %q. "+url,
			fmt.Sprintf("%s/%s:", un.GetName(), un.GetNamespace()), objLabels)
	}
	return nil
}

// GetTemplateLabels returns spec.template.metadata.labels from Deployment

		sm.ReplicaSize += peer.ReplicaSize
		sm.Proxied.Add(madmin.ReplProxyMetric(peer.Proxied))
		for dID, v := range peer.Metrics {
			v2, ok := sm.Metrics[dID]
			if !ok {
				v2 = madmin.SRMetric{}
				v2.Failed.ErrCounts = make(map[string]int)
			}

			// use target endpoint metrics from node which has been up the longest
			if v2.LastOnline.After(v.LastOnline) || v2.LastOnline.IsZero() {

你还可能有**其他原因**，这将使你更容易拥有一个带有**多个进程**的**单个容器**，而不是拥有每个容器中都有**单个进程**的**多个容器**。

例如（取决于你的设置）你可以在同一个容器中拥有一些工具，例如 Prometheus exporter，该工具应该有权访问**每个请求**。

在这种情况下，如果你有**多个容器**，默认情况下，当 Prometheus 来**读取metrics**时，它每次都会获取**单个容器**的metrics（对于处理该特定请求的容器），而不是获取所有复制容器的**累积metrics**。

在这种情况， 这种做法会更加简单：让**一个容器**具有**多个进程**，并在同一个容器上使用本地工具（例如 Prometheus exporter）收集所有内部进程的 Prometheus 指标并公开单个容器上的这些指标。

---

func (s *erasureSets) LocalStorageInfo(ctx context.Context, metrics bool) StorageInfo {
	var storageInfo StorageInfo

	storageInfos := make([]StorageInfo, len(s.sets))

	g := errgroup.WithNErrs(len(s.sets))
	for index := range s.sets {
		index := index
		g.Go(func() error {
			storageInfos[index] = s.sets[index].LocalStorageInfo(ctx, metrics)
			return nil
		}, index)
	}