## Highlights

then GCD algorithm provides affinity towards odd number erasure sets to provide for uniform distribution across nodes*. This is to ensure that same number of drives are pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution, one of the nodes would participate more drives. To avoid this the affinity is given towards nodes which leads to next best GCD factor of 12 which provides uniform distribution.

- In...

- MinIO exports Prometheus compatible data by default which is resource centric as an authorized endpoint at `/minio/v2/metrics/resource`.

All of these can be accessed via Prometheus dashboard. A sample list of exposed metrics along with their definition is available on our public demo server at

```sh
curl https://play.min.io/minio/v2/metrics/cluster
```

### List of metrics reported Cluster and Bucket level

  }

  protected final E e0() {
    return samples.e0();
  }

  protected final E e1() {
    return samples.e1();
  }

  protected final E e2() {
    return samples.e2();
  }

  protected final E e3() {
    return samples.e3();
  }

  protected final E e4() {
    return samples.e4();
  }

- how to categorize the problems so that the id of the problem can be match to a page with descriptive help and the test
  project
- nice little sample projects that could be run in the core as well as integration tests

All Possible Errors
- invalid lifecycle phase (maybe same as bad CLI param, though you were talking about embedder too)
- <module> specified is not found
- malformed settings
- malformed POM

    checkState(count() != 0);
    return sumOfProductsOfDeltas / count();
  }

  /**
   * Returns the sample covariance of the values. The count must be greater than one.
   *
   * <p>This is not guaranteed to return zero when the dataset consists of the same pair of values
   * multiple times, due to numerical errors.
   *
   * <h3>Non-finite values</h3>
   *

    checkState(count() != 0);
    return sumOfProductsOfDeltas / count();
  }

  /**
   * Returns the sample covariance of the values. The count must be greater than one.
   *
   * <p>This is not guaranteed to return zero when the dataset consists of the same pair of values
   * multiple times, due to numerical errors.
   *
   * <h3>Non-finite values</h3>
   *

	"reflect"
	"testing"
)

type TestItem struct {
	Name     string `json:"Name"`
	Property string `json:"property"`
}

var (
	// TestDir
	queueDir = filepath.Join(os.TempDir(), "minio_test")
	// Sample test item.
	testItem = TestItem{Name: "test-item", Property: "property"}
	// Ext for test item
	testItemExt = ".test"
)

// Initialize the queue store.

					Service: &admitv1.ServiceReference{
						Namespace: "default",
						Name:      "istiod",
					},
					CABundle: []byte("ca"),
				},
			},
		},
	}
	samplePath               = "/sample/path"
	operatorManaged          = operatorNamespace + "/managed"
	revisionCanonicalWebhook = admitv1.MutatingWebhookConfiguration{
		ObjectMeta: metav1.ObjectMeta{
			Name: "istio-sidecar-injector-revision",

	if err != nil {
		t.Fatalf("os.Stat:1 %v", err)
	}
	hdr.Typeflag = TypeDir
	// Force a PAX long name to be written. The name was taken from a practical example
	// that fails and replaced ever char through numbers to anonymize the sample.