aggregating status across all pods, maintaining application availability, and
rollback.
  * <strong>Automated cluster management: </strong>
     * Kubernetes clusters can now span zones within a cloud provider. Pods from a
service will be automatically spread across zones, enabling applications to
tolerate zone failure.
     * Simplified way to run a container on every node (DaemonSet API (Beta) in the

      assertThat(derReader.readOctetString()).isEqualTo("Jones".encodeUtf8())
    }

    assertThat(derReader.hasNext()).isFalse()
  }

  @Test fun `encode primitive string`() {
    val buffer = Buffer()
    val derWriter = DerWriter(buffer)

    derWriter.write("test", tagClass = DerHeader.TAG_CLASS_UNIVERSAL, tag = 26L) {
      derWriter.writeOctetString("Jones".encodeUtf8())
    }

  /**
   * When we need a new thread to run tasks, we call [Backend.execute]. A few microseconds later we
   * expect a newly-started thread to call [Runnable.run]. We shouldn't request new threads until
   * the already-requested ones are in service, otherwise we might create more threads than we need.
   *
   * We use [executeCallCount] and [runCallCount] to defend against starting more threads than we
   * need. Both fields are guarded by `this`.
   */

    for (Future<?> result : results) {
      if (!result.isCancelled()) {
        result.get(10, SECONDS);
      }
      // TODO(cpovirk): Verify that the cancelled futures are exactly ones that we expect.
    }

    assertThat(logHandler.getStoredLogRecords()).isEmpty();
  }

  public void testAvoidsStackOverflow_manySubmitted() throws Exception {

   * under the assumption that for long-running instances, observed
   * contention levels will recur, so the cells will eventually be
   * needed again; and for short-lived ones, it does not matter.
   */

  /**
   * Padded variant of AtomicLong supporting only raw accesses plus CAS. The value field is placed
   * between pads, hoping that the JVM doesn't reorder them.
   *

     */
    FAILED,
  }

  /**
   * A listener for the various state changes that a {@link Service} goes through in its lifecycle.
   *
   * <p>All methods are no-ops by default, implementors should override the ones they care about.
   *
   * @author Luke Sandberg
   * @since 15.0 (present as an interface in 13.0)
   */
  abstract class Listener {
    /** Constructor for use by subclasses. */
    public Listener() {}

    // have this Entry. The value in the map becomes false when this first entry has been copied, so
    // we know not to copy the remaining ones.
    IdentityHashMap<Entry<K, V>, Boolean> duplicates = null;
    int dupCount = 0;
    for (int entryIndex = n - 1; entryIndex >= 0; entryIndex--) {

     */
    FAILED,
  }

  /**
   * A listener for the various state changes that a {@link Service} goes through in its lifecycle.
   *
   * <p>All methods are no-ops by default, implementors should override the ones they care about.
   *
   * @author Luke Sandberg
   * @since 15.0 (present as an interface in 13.0)
   */
  abstract class Listener {
    /** Constructor for use by subclasses. */
    public Listener() {}

        // spec says that we may repeat the request without modifications. Modern browsers also
        // repeat the request (even non-idempotent ones.)
        if (!client.retryOnConnectionFailure) {
          // The application layer has directed us not to retry the request.
          return null
        }

        val requestBody = userResponse.request.body

    }
    assertEquals(10, CacheTesting.expirationQueueSize(cache));
    assertEquals(10, removalListener.getCount()); // these are the invalidated ones

    // old timeouts must expire after this wait
    ticker.advance(ttl * 2 / 3, MILLISECONDS);

    assertEquals(10, CacheTesting.expirationQueueSize(cache));
    assertEquals(10, removalListener.getCount());