```

##### Node (optional)

Optionally you can also collect per node metrics. This needs to be done on a per server instance.
The scrape configurations should use all the servers under `targets` so that graphing systems like
grafana can visualize them for all the nodes

```yaml
scrape_configs:
- job_name: minio-job
  metrics_path: /minio/v2/metrics/node
  scheme: http
  static_configs:

| `minio_system_memory_used`       | Used memory on the node. <br><br>Type: gauge            | `server` |
| `minio_system_memory_used_perc`  | Used memory percentage on the node. <br><br>Type: gauge | `server` |
| `minio_system_memory_free`       | Free memory on the node. <br><br>Type: gauge            | `server` |
| `minio_system_memory_total`      | Total memory on the node. <br><br>Type: gauge           | `server` |

### Node Binaries

filename | sha256 hash
-------- | -----------
[kubernetes-node-linux-amd64.tar.gz](https://dl.k8s.io/v1.5.8/kubernetes-node-linux-amd64.tar.gz) | `4d73ccd2ecac0f2e161f88e4d77004298d10a009f9b5fa0203fa7bff70a82e30`

		prometheus.NewDesc(
			prometheus.BuildFQName(minioNamespace, "nodes", "online"),
			"Total number of MinIO nodes online",
			nil, nil),
		prometheus.GaugeValue,
		float64(nodesUp),
	)
	ch <- prometheus.MustNewConstMetric(
		prometheus.NewDesc(
			prometheus.BuildFQName(minioNamespace, "nodes", "offline"),
			"Total number of MinIO nodes offline",
			nil, nil),
		prometheus.GaugeValue,
		float64(nodesDown),

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.

Harshavardhana <******@****.***> 1715791949 -0700

Harshavardhana <******@****.***> 1715791949 -0700

Harshavardhana <******@****.***> 1680298690 -0700

	envValues := make(map[string]string, len(envs))
	for _, envK := range envs {
		// skip certain environment variables as part
		// of the whitelist and could be configured
		// differently on each nodes, update skipEnvs()
		// map if there are such environment values
		if _, ok := skipEnvs[envK]; ok {
			continue
		}
		envValues[envK] = logger.HashString(env.Get(envK, ""))
	}

      node = root.ceiling(comparator(), endpoint);
      if (node == null) {
        return null;
      }
      if (range.getLowerBoundType() == BoundType.OPEN
          && comparator().compare(endpoint, node.getElement()) == 0) {
        node = node.succ();
      }
    } else {
      node = header.succ();
    }
    return (node == header || !range.contains(node.getElement())) ? null : node;
  }