nction(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||C],d=ue.call(e,"type")?e.type:e,h=ue.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||C,3!==n.nodeType&&8!==n.nodeType&&!Dt.test(d+ce.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[ce.expando]?e:new ce.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||...

						globalDomainNames, err))
				}
			}
		}
	}

	// Bucket federation is 'true' only when IAM assets are not namespaced
	// per tenant and all tenants interested in globally available users
	// if namespace was requested such as specifying etcdPathPrefix then
	// we assume that users are interested in global bucket support
	// but not federation.

		Long: `
Prints the metrics for the specified service(s) when running in Kubernetes.

This command finds a Prometheus pod running in the specified istio system
namespace. It then executes a series of queries per requested workload to
find the following top-level workload metrics: total requests per second,
error rate, and request latency at p50, p90, and p99 percentiles. The

          "type": "prometheus",
          "uid": "${datasource}"
        },
        "definition": "",
        "hide": 0,
        "includeAll": true,
        "label": "Client Workload Namespace",
        "multi": true,
        "name": "srcns",
        "options": [],

  RANGE="${RANGE%?}]"

  echo '
apiVersion: metallb.io/v1beta1
kind: IPAddressPool
metadata:
  name: default-pool
  namespace: metallb-system
spec:
  addresses: '"$RANGE"'
---
apiVersion: metallb.io/v1beta1
kind: L2Advertisement
metadata:
  name: default-l2
  namespace: metallb-system
spec:
  ipAddressPools:
  - default-pool
' | kubectl apply --kubeconfig="$KUBECONFIG" -f -

}

All replication failures are picked up by the scanner which runs at a one minute frequency, each time scanning upto a sixteenth of the namespace. Object versions marked `PENDING` or `FAILED` are re-queued for replication.

<model xmlns="http://modello.codehaus.org/MODELLO/1.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://modello.codehaus.org/MODELLO/1.0.0 http://modello.codehaus.org/xsd/modello-1.0.0.xsd"
  xml.namespace="http://maven.apache.org/PROFILES/${version}"
  xml.schemaLocation="http://maven.apache.org/xsd/profiles-${version}.xsd">
  <id>profiles</id>
  <name>Profiles</name>
  <description><![CDATA[

$nodeCount }}{{ $endIndex := add $factor $nodeCount }}{{ $beginIndex := mul $i $nodeCount }} {{ $scheme }}://{{ template `minio.fullname` $ }}-{{ `{` }}{{ $beginIndex }}...{{ sub $endIndex 1 }}{{ `}`}}.{{ template `minio.fullname` $ }}-svc.{{ $.Release.Namespace }}.svc{{if (gt $drivesPerNode 1)}}{{ $bucketRoot }}-{{ `{` }}0...{{ sub $drivesPerNode 1 }}{{ `}` }}{{ else }}{{ $bucketRoot }}{{end }}{{- end }} -S {{ .Values.certsPath }} --address :{{ .Values.minioAPIPort }} --console-address :{{ .Values.minioConsolePort...

This may be slower depending on the load on the cluster, latency and size of the namespace.

In the rare event that target DR site is entirely lost and previously replicated objects to the DR cluster need to be re-replicated, `mc replicate resync start alias/bucket --remote-bucket <arn>` can be used to initiate a reset. This would initiate a re-sync between the two clusters by walking the bucket namespace and replicating eligible objects that satisfy the existing objects replication rule...

	fakePod := &corev1.Pod{
		TypeMeta: metav1.TypeMeta{
			APIVersion: "core/v1",
			Kind:       "Pod",
		},
		ObjectMeta: metav1.ObjectMeta{
			Name:        testPodName,
			Namespace:   testNSName,
			Annotations: map[string]string{},
		},
		Spec: corev1.PodSpec{
			Containers: []corev1.Container{app, proxy, validate},
		},
	}

	return fakePod