proactiveCheckInterval, TimeUnit.MILLISECONDS);
            log.info("Started proactive health checking with interval {} ms", proactiveCheckInterval);
        }
    }

    /**
     * Stop proactive health checking
     */
    public void stopProactiveHealthChecking() {
        if (healthCheckTask != null) {
            healthCheckTask.cancel(false);

This document explains the design approach of server side bucket replication. If you're looking to get started with replication, we suggest you go through the [Bucket replication guide](https://github.com/minio/minio/blob/master/docs/bucket/replication/README.md) first.

## Overview

// ResourceMetric represents a single resource metric
// The metrics are collected from all servers periodically
// and stored in the resource metrics map.
// It also maintains the count of number of times this metric
// was collected since the server started, and the sum,
// average and max values across the same.
type ResourceMetric struct {
	Name   MetricName
	Labels map[string]string

* **[alpha]** New Bootstrap Token authentication and management method. Works well with kubeadm. kubeadm now supports managing tokens, including time based expiration, after...

automatically on GitHub.

If you want to contribute, start working through the TensorFlow codebase,
navigate to the
[GitHub "issues" tab](https://github.com/tensorflow/tensorflow/issues) and start
looking through interesting issues. If you are not sure of where to start, then
start by trying one of the smaller/easier issues here i.e.

  }

  /**
   * Encodes an integer as a string with given radix, then uses {@link Ints#tryParse(String, int)}
   * to parse the result. Asserts the result is the same as what we started with.
   */
  private static void radixEncodeParseAndAssertEquals(Integer value, int radix) {
    assertWithMessage("Radix: " + radix)
        .that(Ints.tryParse(Integer.toString(value, radix), radix))

		case <-ctx.Done():
			return
		case <-scannerTimer.C:
			// Reset the timer for next cycle.
			// If scanner takes longer we start at once.
			scannerTimer.Reset(scannerCycle.Load())

			stopFn := globalScannerMetrics.log(scannerMetricScanCycle)
			cycleInfo.current = cycleInfo.next
			cycleInfo.started = time.Now()
			globalScannerMetrics.setCycle(&cycleInfo)

			bgHealInfo := readBackgroundHealInfo(ctx, objAPI)

And if the server is restarted (for example after updates, or migrations from the cloud provider) you probably **won't notice it**. And because of that, you won't even know that you have to restart the process manually. So, your API will just stay dead. 😱

### Run Automatically on Startup { #run-automatically-on-startup }

  * <strong>Simplified application deployment and management. </strong>
     * Dynamic Configuration (ConfigMap API in the core API group) enables application
configuration to be stored as a Kubernetes API object and pulled dynamically on
container startup, as an alternative to baking in command-line flags when a
container is built.
     * Turnkey Deployments (Deployment API (Beta) in the Extensions API group)

{* ../../docs_src/python_types/tutorial001.py hl[2] *}

### Edit it { #edit-it }

It's a very simple program.

But now imagine that you were writing it from scratch.

At some point you would have started the definition of the function, you had the parameters ready...

But then you have to call "that method that converts the first letter to upper case".

Was it `upper`? Was it `uppercase`? `first_uppercase`? `capitalize`?