### kubectl rolling-update: < v1.4.0 client vs >=v1.4.0 cluster

Old version kubectl's rolling-update command is compatible with Kubernetes 1.4 and higher only if you specify a new replication controller name. You will need to update to kubectl 1.4 or higher to use the rolling update command against a 1.4 cluster if you want to keep the original name, or you'll have to do two rolling updates.

defines the number of nodes that if not Ready in time won’t cause kube-up
failure.
  * “kubectl rolling-update” only supports Replication Controllers (it doesn’t
support Replica Sets). It’s recommended to use Deployment 1.2 with “kubectl
rollout” commands instead, if you want to rolling update Replica Sets.
  * When live upgrading Kubelet to 1.2 without draining the pods running on the node,

            assertTrue(recvRegion.getSize() > 0, "Receive region should have positive size");
            assertNotNull(recvRegion.getBuffer(), "Receive region buffer should not be null");

            // Test buffer pooling statistics
            long initialAllocated = bufferManager.getTotalAllocated();
            long initialActive = bufferManager.getActiveRegions();

        users indicates that they really appreciate Guava's high power-to-weight ratio. It's
        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.

  - type: textarea
    attributes:
      label: API(s)

 * <p>
 * This class provides efficient encryption/decryption by pooling and reusing cipher instances,
 * reducing the overhead of repeated cipher initialization. It supports both string-based keys
 * and {@link Key} objects, with configurable algorithms and character encodings.
 * </p>
 * <p>
 * <strong>Key Features:</strong>
 * </p>
 * <ul>
 * <li>Thread-safe cipher pooling using {@link ConcurrentLinkedQueue}</li>

        users indicates that they really appreciate Guava's high power-to-weight ratio. It's
        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.


        Guava's main yardstick for evaluating proposed features can be summed up as [utility times

import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.atomic.AtomicLong;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
 * RDMA buffer manager for efficient memory region pooling.
 *
 * Manages pools of pre-registered memory regions to avoid the overhead
 * of frequent registration/deregistration during RDMA operations.
 */
public class RdmaBufferManager implements AutoCloseable {

Since HTTP requests frequently happen in parallel, connection pooling must be thread-safe.

These are the primary classes involved with establishing, sharing, and terminating connections:

          <!-- excludePackageNames requires specification of packages separately from "all subpackages".
               https://issues.apache.org/jira/browse/MJAVADOC-584 -->
          <excludePackageNames>
            com.azul.tooling.in,com.google.common.base.internal,com.google.common.base.internal.*,com.google.thirdparty.publicsuffix,com.google.thirdparty.publicsuffix.*,com.oracle.*,com.sun.*,java.*,javax.*,jdk,jdk.*,org.*,sun.*
          </excludePackageNames>

door as you are; secondly, because they're making such a noise
inside, no one could possibly hear you.'  And certainly there was
a most extraordinary noise going on within--a constant howling
and sneezing, and every now and then a great crash, as if a dish
or kettle had been broken to pieces.

  `Please, then,' said Alice, `how am I to get in?'