Key:         config.ScannerSubSys,
			Description: "manage namespace scanning for usage calculation, lifecycle, healing and more",
		},
		config.HelpKV{
			Key:         config.BatchSubSys,
			Description: "manage batch job workers and wait times",
		},
		config.HelpKV{
			Key:         config.CompressionSubSys,
			Description: "enable server side compression of objects",
		},
		config.HelpKV{

	for d, dm := range m.ByDisk {
		latestDriveStats[d] = dm.IOStats
	}
	lastDriveStatsRefresh = time.Now().UTC()
	latestDriveStatsMu.Unlock()
}

// startResourceMetricsCollection - starts the job for collecting resource metrics
func startResourceMetricsCollection() {
	initLatestValues()

	resourceMetricsMapMu.Lock()
	resourceMetricsMap = map[MetricSubsystem]ResourceMetrics{}
	resourceMetricsMapMu.Unlock()

  the Job controller now does not consider a terminating Pod (a pod that has a `.metadata.deletionTimestamp`)
  as a failure until that Pod is terminal (its `.status.phase` is `Failed` or `Succeeded`).
  
  However, the Job controller creates a replacement Pod as soon as the termination becomes apparent.
  Once the pod terminates, the Job controller evaluates `.backoffLimit` and `.podFailurePolicy` for the

                    } else {
                        postcard.setStatus(Constants.FAIL);
                    }
                    postcard.setJobname(systemProperties.getProperty("job.runtime.name", StringUtil.EMPTY));
                });
            } finally {
                SMailCallbackContext.clearPreparedMessageHookOnThread();
            }
        }
    }

    /**

      return null // We can't write this file because a reader is still reading it.
    }

    if (mostRecentTrimFailed || mostRecentRebuildFailed) {
      // The OS has become our enemy! If the trim job failed, it means we are storing more data than
      // requested by the user. Do not allow edits so we do not go over that limit any further. If

		}
	}
	// Enable if prometheus URL is set.
	if value := env.Get(config.EnvMinIOPrometheusURL, ""); value != "" {
		os.Setenv("CONSOLE_PROMETHEUS_URL", value)
		if value := env.Get(config.EnvMinIOPrometheusJobID, "minio-job"); value != "" {
			os.Setenv("CONSOLE_PROMETHEUS_JOB_ID", value)
			// Support additional labels for more granular filtering.
			if value := env.Get(config.EnvMinIOPrometheusExtraLabels, ""); value != "" {

### Example Tools to Run at Startup { #example-tools-to-run-at-startup }

Some examples of the tools that can do this job are:

* Docker
* Kubernetes
* Docker Compose
* Docker in Swarm Mode
* Systemd
* Supervisor
* Handled internally by a cloud provider as part of their services
* Others...

- Fix a bug in Job controller which could result in creating unnecessary Pods for a Job which is already
  recognized as finished (successful or failed). ([#130333](https://github.com/kubernetes/kubernetes/pull/130333), [@kmala](https://github.com/kmala)) [SIG Apps and Testing]

 *
 * <p>{@code containsKey(k)}, {@code put(k, v)} and {@code remove(k)} are all (expected and
 * amortized) constant time operations. Expected in the hashtable sense (depends on the hash
 * function doing a good job of distributing the elements to the buckets to a distribution not far
 * from uniform), and amortized since some operations can trigger a hash table resize.
 *

In this scenario, each one of the cleaners (including you) would be a processor, doing their part of the job.

And as most of the execution time is taken by actual work (instead of waiting), and the work in a computer is done by a <abbr title="Central Processing Unit">CPU</abbr>, they call these problems "CPU bound".

---