github-actions-workflows.png...

github-actions-cache-details.png...

github-actions-dependency-alerts.png...

	clock.Step(time.Minute)
	assert.NoError(t, kubelet.updateNodeStatus(ctx))

	// 2 more action (There were 2 actions before).
	actions = kubeClient.Actions()
	assert.Len(t, actions, 4)
	assert.IsType(t, core.GetActionImpl{}, actions[2])
	assert.IsType(t, core.PatchActionImpl{}, actions[3])
	patchAction = actions[3].(core.PatchActionImpl)

	updatedNode, err = applyNodeStatusPatch(updatedNode, patchAction.GetPatch())

				base.Fatalf("go: failed to trim cache: %v", err)
			}
		}()
	}

	// Build list of all actions, assigning depth-first post-order priority.
	// The original implementation here was a true queue
	// (using a channel) but it had the effect of getting
	// distracted by low-level leaf actions to the detriment
	// of completing higher-level actions. The order of
	// work does not matter much to overall execution time,

	response map[string]FakeResponse

	lock    sync.Mutex
	actions []fakeAction
}

// ServeHTTP logs the action that occurred and always returns the associated status code
func (f *fakeActionHandler) ServeHTTP(response http.ResponseWriter, request *http.Request) {
	func() {
		f.lock.Lock()
		defer f.lock.Unlock()

	MaxUsers          int                             // maximum users seen across sites
	MaxGroups         int                             // maximum groups seen across sites
	MaxPolicies       int                             // maximum policies across sites
	MaxILMExpiryRules int                             // maximum ILM expiry rules across sites

/*
Copyright 2017 The Kubernetes Authors.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,

    hand create a barrier at the end of while loop body thus blocking any
    parallelism across iterations.

    For example, the following while loop body has a `%barrier` at the end.
    Although there is no data/control dependency between `tf.AssignVariableOp`
    for `%arg0` to `tf.AssignVariableOp` for `%arg1` across any iteration, the
    while loop body has a control barrier (`%barrier`) at the end which forces

		Name:      sizeDistribution,
		Help:      "Distribution of object sizes across a cluster",
		Type:      histogramMetric,
	}
}

func getClusterObjectVersionsMD() MetricDescription {
	return MetricDescription{
		Namespace: clusterMetricNamespace,
		Subsystem: objectsSubsystem,
		Name:      versionDistribution,
		Help:      "Distribution of object versions across a cluster",
		Type:      histogramMetric,
	}
}