abstract: TensorFlow is a machine learning 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...

		Help:      "Total number of bytes sent to the other peer nodes",
		Type:      counterMetric,
	}
}

func getInterNodeReceivedBytesMD() MetricDescription {
	return MetricDescription{
		Namespace: interNodeMetricNamespace,
		Subsystem: trafficSubsystem,
		Name:      receivedBytes,
		Help:      "Total number of bytes received from other peer nodes",
		Type:      counterMetric,
	}
}

    - [Node Binaries](#node-binaries-16)
  - [Changelog since v1.18.0](#changelog-since-v1180)
  - [What’s New (Major Themes)](#whats-new-major-themes)
    - [Deprecation warnings](#deprecation-warnings)
    - [Avoiding permanent beta](#avoiding-permanent-beta)
    - [Expanded CLI support for debugging workloads and nodes](#expanded-cli-support-for-debugging-workloads-and-nodes)

        Set<ResolutionNode> set = new LinkedHashSet<>();

        for (List<ResolutionNode> nodes : resolvedArtifacts.values()) {
            for (ResolutionNode node : nodes) {
                if (!node.equals(root) && node.isActive()) {
                    Artifact artifact = node.getArtifact();

                    try {
                        if (node.filterTrail(filter)) {

subjectAltName = @alt_names

[alt_names]
IP.1 = 127.0.0.1
DNS.1 = localhost
```

Run `openssl` by specifying the configuration file and enter a passphrase if prompted:

```sh
openssl req -new -x509 -nodes -days 730 -keyout private.key -out public.crt -config openssl.conf
```

### 3.3 Use GnuTLS (for Windows) to Generate a Certificate

This section describes how to use GnuTLS on Windows to generate a certificate.

    - [Server Binaries](#server-binaries-16)
    - [Node Binaries](#node-binaries-16)
- [Kubernetes v1.16.0 Release Notes](#kubernetes-v1160-release-notes)
  - [What’s New (Major Themes)](#what’s-new-major-themes)
    - [Additional Notable Feature Updates](#additional-notable-feature-updates)
  - [Known Issues](#known-issues)
  - [Urgent Upgrade Notes](#urgent-upgrade-notes-1)

Kubernetes manages stateless Spark and Hive containers elastically on the compute nodes. Spark has native scheduler integration with Kubernetes. Hive, for legacy reasons, uses YARN scheduler on top of Kubernetes.

   *
   * <p>If {@code nodeU} and {@code nodeV} are not already present in this graph, this method will
   * silently {@link #addNode(Object) add} {@code nodeU} and {@code nodeV} to the graph.
   *
   * @return the value previously associated with the edge connecting {@code nodeU} to {@code
   *     nodeV}, or null if there was no such edge.

      "5m",
      "15m",
      "1h",
      "6h",
      "12h",
      "24h",
      "2d",
      "7d",
      "30d"
    ]
  },
  "timezone": "",
  "title": "MinIO Node Replication Dashboard",
  "uid": "gmTJnqnnk3",
  "version": 1,
  "weekStart": ""

  - Fix an error where existing nodes were not considered as destinations while finding place for pods in scale-down simulations
  - Remove redundant log lines and reduce severity around parsing kubeEnv
  - Don't treat nodes created by virtual kubelet as nodes from non-autoscaled node groups
  - Remove redundant logging around calculating node utilization
  - Add configurable `--network` and `--rm` flags for docker in `Makefile`