/**
 * One or more variables that together maintain an initially zero {@code long} sum. When updates
 * (method {@link #add}) are contended across threads, the set of variables may grow dynamically to
 * reduce contention. Method {@link #sum} (or, equivalently, {@link #longValue}) returns the current
 * total combined across the variables maintaining the sum.
 *
 * <p>This class is usually preferable to {@link AtomicLong} when multiple threads update a common

Decommissiong is a mechanism in MinIO to drain older pools (usually with old hardware) and migrate the content from such pools to a newer pools (usually better hardware). Decommissioning spreads the data across all pools - for example, if you decommission `pool1`, all the data from `pool1` spreads across `pool2` and `pool3`.

## Features

  // averageValue is the target value of the average of the
  // metric across all relevant pods (as a quantity)
  // +optional
  optional k8s.io.apimachinery.pkg.api.resource.Quantity averageValue = 3;

  // averageUtilization is the target value of the average of the
  // resource metric across all relevant pods, represented as a percentage of
  // the requested value of the resource for the pods.

For example, the `demo` profile offers a preset configuration to try out Istio in a test environment, with additional features enabled and lowered resource requirements.

For consistency, the same profiles are used across each chart, even if they do not impact a given chart.

Explicitly set values have highest priority, then profile settings, then chart defaults.

exchange_type  (string)    AMQP exchange type
routing_key    (string)    routing key for publishing
mandatory      (on|off)    quietly ignore undelivered messages when set to 'off', default is 'on'
durable        (on|off)    persist queue across broker restarts when set to 'on', default is 'off'
no_wait        (on|off)    non-blocking message delivery when set to 'on', default is 'off'

system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas...

    public static final int NTLMSSP_REQUEST_TARGET = 0x00000004;

    /**
     * Specifies that communication across the authenticated channel
     * should carry a digital signature (message integrity).
     */
    public static final int NTLMSSP_NEGOTIATE_SIGN = 0x00000010;

    /**
     * Specifies that communication across the authenticated channel
     * should be encrypted (message confidentiality).
     */

import java.util.SortedMap;
import java.util.SortedSet;
import javax.annotation.CheckForNull;

/**
 * Implementation of {@code Table} whose iteration ordering across row keys is sorted by their
 * natural ordering or by a supplied comparator. Note that iterations across the columns keys for a
 * single row key may or may not be ordered, depending on the implementation. When rows and columns

	for i, err := range errs {
		if err == nil {
			return healBucketResults[i], nil
		}
	}

	return madmin.HealResultItem{}, toObjectErr(errVolumeNotFound, bucket)
}

// ListBuckets lists buckets across all nodes and returns a consistent view:
//   - Return an error when a pool cannot return N/2+1 valid bucket information
//   - For each pool, check if the bucket exists in N/2+1 nodes before including it in the final result

message APIResourceDiscovery {
  // resource is the plural name of the resource.  This is used in the URL path and is the unique identifier
  // for this resource across all versions in the API group.
  // Resources with non-empty groups are located at /apis/<APIGroupDiscovery.objectMeta.name>/<APIVersionDiscovery.version>/<APIResourceDiscovery.Resource>