*
 * <p>The caches produced by {@code CacheBuilder} are serializable, and the deserialized caches
 * retain all the configuration properties of the original cache. Note that the serialized form does
 * <i>not</i> include cache contents, but only configuration.
 *
 * <p>See the Guava User Guide article on <a
 * href="https://github.com/google/guava/wiki/CachesExplained">caching</a> for a higher-level

*   Refactor kube-scheduler configuration ([#52428](https://github.com/kubernetes/kubernetes/pull/52428))
    *   The kube-scheduler command now supports a --config flag which is the location of a file containing a serialized scheduler configuration. Most other kube-scheduler flags are now deprecated. ([#52562](https://github.com/kubernetes/kubernetes/pull/52562),[ @ironcladlou](https://github.com/ironcladlou))

## Changes since v1.3.0-alpha.4

### Action Required

* Add direct serializer ([#26251](https://github.com/kubernetes/kubernetes/pull/26251), [@caesarxuchao](https://github.com/caesarxuchao))

		//   inconsequential to the overall read operation.
		// - xl.meta metadata is still verified for quorum under lock()
		//   however writing the response doesn't need to serialize
		//   concurrent writers
		unlockOnDefer = true
		nsUnlocker = func() { lock.RUnlock(lkctx) }
	}

	fi, metaArr, onlineDisks, err := er.getObjectFileInfo(ctx, bucket, object, opts, true)
	if err != nil {

- The cloud config for Azure cloud provider can now be initialized from Kubernetes secret azure-cloud-provider in kube-system namespace
    - the secret is a serialized version of `azure.json` file with key cloud-config. And the secret name is azure-cloud-provider.

			if target == "" {
				continue
			}
			select {
			case s.immediatePurge <- target:
			default:
				// Too much back pressure, we will perform the delete
				// blocking at this point we need to serialize operations.
				removeAll(target)
			}
		}
	}
	return nil
}

func (s *xlStorage) readAllData(ctx context.Context, volume, volumeDir string, filePath string) (buf []byte, err error) {

	wg.Add(2)
	go publish(ReportMetrics(GlobalContext, c.metricsGroups))
	go publish(globalNotificationSys.GetClusterMetrics(GlobalContext))
	wg.Wait()
}

// ReportMetrics reports serialized metrics to the channel passed for the metrics generated.
func ReportMetrics(ctx context.Context, metricsGroups []*MetricsGroupV2) <-chan MetricV2 {
	ch := make(chan MetricV2)
	go func() {
		defer xioutil.SafeClose(ch)

- client-go

    replaced with by writing regular Python functions. Using the `tf.function`
    decorator, such functions can be turned into graphs which can be executed
    remotely, serialized, and optimized for performance.
*   Unification of `tf.train.Optimizers` and `tf.keras.Optimizers`. Use
    `tf.keras.Optimizers` for TF2.0. `compute_gradients` is removed as public

     */
    Integer getCrawlerHttpThreadPoolSizeAsInteger();

    /**
     * Get the value for the key 'crawler.data.serializer'. <br>
     * The value is, e.g. kryo <br>
     * comment: Serializer type for crawler data (e.g., kryo).
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getCrawlerDataSerializer();