_metrics = _KerasLazyLoader(globals(), submodule="metrics", name="metrics")
_optimizers = _KerasLazyLoader(
    globals(), submodule="optimizers", name="optimizers")
_initializers = _KerasLazyLoader(
    globals(), submodule="initializers", name="initializers")
setattr(_current_module, "losses", _losses)
setattr(_current_module, "metrics", _metrics)
setattr(_current_module, "optimizers", _optimizers)

1. Start a distributed MinIO instance (4 nodes setup)
2. Start Prometheus server and AlertManager
3. Bring down couple of MinIO instances to bring down the Erasure Set tolerance to -1 and verify the same with `mc admin prometheus metrics ALIAS | grep minio_cluster_health_erasure_set_status`
4. Wait for 5 mins (as alert is configured to be firing after 5 mins), and verify that you see an entry in webhook for the alert as well as in Prometheus console as shown below

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llavors
m'he
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mateix
mateixa
mateixes
mateixos
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més
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meus
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meves
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			wantStatusCode: http.StatusOK,
			wantResp:       []string{"stub/path"},
		},

		// Metrics test
		{
			name:   "metrics as root want success",
			method: http.MethodGet,
			path:   kmsMetricsPath,
			asRoot: true,

			wantStatusCode: http.StatusOK,
			wantResp:       []string{"kms"},
		},
		{
			name:   "metrics as user with no policy want forbidden",
			method: http.MethodGet,
			path:   kmsMetricsPath,

import org.opensearch.search.aggregations.metrics.CardinalityAggregationBuilder;
import org.opensearch.search.aggregations.metrics.ScriptedMetricAggregationBuilder;
import org.opensearch.search.aggregations.metrics.TopHitsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.ValueCountAggregationBuilder;

/**
 * @author ESFlute (using FreeGen)
 */

0002 0.554 connectionReleased
0002 0.554 callEnd
0001 0.624 responseBodyEnd
0001 0.624 connectionReleased
0001 0.624 callEnd
```

The `EventListener.Factory` also makes it possible to limit metrics to a subset of calls. This one captures metrics on a random 10%:

```java
class MetricsEventListener extends EventListener {
  private static final Factory FACTORY = new Factory() {
    @Override public EventListener create(Call call) {

`autoscaling/v2alpha1`. The Horizontal Pod Autoscaler changes include support for status conditions, and autoscaling on memory and custom metrics.

* The metrics APIs, `custom-metrics.metrics.k8s.io` and `metrics`, were moved from `v1alpha1` to `v1beta1`, and renamed to `custom.metrics.k8s.io` and `metrics.k8s.io`, respectively. If you have deployed a custom metrics adapter, ensure that it supports the new API version. If you have deployed Heapster in aggregated API server mode, upgrade Heapster...

	}

	// Reply with storage information (across nodes in a
	// distributed setup) as json.
	writeSuccessResponseJSON(w, jsonBytes)
}

// MetricsHandler - GET /minio/admin/v3/metrics
// ----------
// Get realtime server metrics
func (a adminAPIHandlers) MetricsHandler(w http.ResponseWriter, r *http.Request) {
	ctx := r.Context()

	objectAPI, _ := validateAdminReq(ctx, w, r, policy.ServerInfoAdminAction)

	storageRESTBitrotAlgo       = "balg"
	storageRESTBitrotHash       = "bhash"
	storageRESTDiskID           = "did"
	storageRESTForceDelete      = "fdel"
	storageRESTGlob             = "glob"
	storageRESTMetrics          = "metrics"
	storageRESTDriveQuorum      = "dquorum"
	storageRESTOrigVolume       = "ovol"
	storageRESTInclFreeVersions = "incl-fv"
	storageRESTRange            = "rng"
)

type nsScannerOptions struct {

import org.opensearch.search.aggregations.metrics.PercentilesAggregationBuilder;
import org.opensearch.search.aggregations.metrics.ScriptedMetricAggregationBuilder;
import org.opensearch.search.aggregations.metrics.StatsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.SumAggregationBuilder;
import org.opensearch.search.aggregations.metrics.TopHitsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.ValueCountAggregationBuilder;