## Changes since v1.1.1

### Major Themes

  * <strong>Significant scale improvements</strong>. Increased cluster scale by 400% to 1000 nodes with 30,000 pods per cluster.
Kubelet supports 100 pods per node with 4x reduced system overhead.
  * <strong>Simplified application deployment and management. </strong>
     * Dynamic Configuration (ConfigMap API in the core API group) enables application

  -H "Content-Type: application/json" \
  -u admin:admin \
  -d '{
    "name": "Example Site",
    "urls": "http://example.com/",
    "depth": 3,
    "maxAccessCount": 1000,
    "userAgent": "Fess Crawler"
  }'
```

### 3. Command-Line Import

**Using curl with bulk files**:

```bash
# Import GSA configuration

      }
    }

  /*
   * This cache uses a journal file named "journal". A typical journal file looks like this:
   *
   *     libcore.io.DiskLruCache
   *     1
   *     100
   *     2
   *
   *     CLEAN 3400330d1dfc7f3f7f4b8d4d803dfcf6 832 21054
   *     DIRTY 335c4c6028171cfddfbaae1a9c313c52
   *     CLEAN 335c4c6028171cfddfbaae1a9c313c52 3934 2342

 * creation time, the queue is unbounded.
 *
 * <p>Usage example:
 *
 * {@snippet :
 * MinMaxPriorityQueue<User> users = MinMaxPriorityQueue.orderedBy(userComparator)
 *     .maximumSize(1000)
 *     .create();
 * }
 *
 * <p>As a {@link Queue} it functions exactly as a {@link PriorityQueue}: its head element -- the
 * implicit target of the methods {@link #peek()}, {@link #poll()} and {@link #remove()} -- is

		Remote:             o.remote,
		Local:              o.local,
		id:                 o.id,
		ctx:                o.ctx,
		outgoing:           xsync.NewMapOfPresized[uint64, *muxClient](1000),
		inStream:           xsync.NewMapOfPresized[uint64, *muxServer](1000),
		outQueue:           make(chan []byte, defaultOutQueue),
		side:               ws.StateServerSide,
		connChange:         &sync.Cond{L: &sync.Mutex{}},
		handlers:           o.handlers,

    ImmutableSortedSet.Builder<Integer> builder =
        new ImmutableSortedSet.Builder<Integer>(countingComparator, 10);
    for (int i = 0; i < 9; i++) {
      builder.add(i);
    }
    for (int j = 0; j < 1000; j++) {
      builder.add(9);
    }
    ImmutableSortedSet<Integer> unused = builder.build();
    assertThat(compares[0]).isAtMost(10000);
    // hopefully something quadratic would have more digits
  }

        scheduler.scheduleAtFixedRate(this::checkHeartbeats, 30, 30, TimeUnit.SECONDS);
        
        // Registration monitoring
        scheduler.scheduleAtFixedRate(this::monitorRegistrations, 10, 10, TimeUnit.SECONDS);
    }
    
    public CompletableFuture<WitnessRegistration> registerForNotifications(
            String shareName, 
            InetAddress serverAddress,

    public static final String DEFAULT_HOURLY_CRON_EXPRESSION = "0 * * * *";

    /** Default interval time in milliseconds for file system crawling. */
    public static final int DEFAULT_INTERVAL_TIME_FOR_FS = 1000;

    /** Default interval time in milliseconds for web crawling. */
    public static final int DEFAULT_INTERVAL_TIME_FOR_WEB = 10000;

    /** Default number of threads for file system crawling. */

        .containsExactly(
            list(0, 0, 0),
            list(0, 0, 1),
            list(0, 1, 0),
            list(0, 1, 1),
            list(1, 0, 0),
            list(1, 0, 1),
            list(1, 1, 0),
            list(1, 1, 1))
        .inOrder();
  }

  public void testCartesianProduct_contains() {
    List<List<Integer>> actual = cartesianProduct(list(1, 2), list(3, 4));

  public void testBuildKeepingLast_shortTable() {
    Builder<Integer, String> builder = ImmutableMap.builder();
    Map<Integer, String> expected = new LinkedHashMap<>();
    for (int i = 0; i < 1000; i++) {
      // Truncate to even key, so we have put(0, "0") then put(0, "1"). Half the entries are
      // duplicates.
      Integer key = i & ~1;
      String value = String.valueOf(i);
      builder.put(key, value);