) : Sink {
    /**
     * Buffer of outgoing data. This batches writes of small writes into this sink as larges frames
     * written to the outgoing connection. Batching saves the (small) framing overhead.
     */
    private val sendBuffer = Buffer()

    /** Trailers to send at the end of the stream. */
    var trailers: Headers? = null

    var closed: Boolean = false

### 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

    /**
     * The smallest message that will be compressed. We use 1024 because smaller messages already
     * fit comfortably within a single ethernet packet (1500 bytes) even with framing overhead.
     *
     * For tests this must be big enough to realize real compression on test messages like
     * 'aaaaaaaaaa...'. Our tests check if compression was applied just by looking at the size if
     * the inbound buffer.

 * is satisfied. The limit is not strict: the cache may temporarily exceed it while waiting for
 * files to be deleted. The limit does not include filesystem overhead or the cache journal so
 * space-sensitive applications should set a conservative limit.
 *
 * Clients call [edit] to create or update the values of an entry. An entry may have only one editor

   * non-static, and is initialized/removed frequently - this causes churn in the Thread specific
   * hashmaps. Using a static ThreadLocal to avoid that overhead would mean that different
   * ExecutionSequencer objects interfere with each other, which would be undesirable, in addition
   * to increasing the memory footprint of every thread that interacted with it. In order to release

   *       userspace buffer (byte[] or ByteBuffer), then copies them from that buffer into the
   *       destination channel.
   * </ol>
   *
   * This value is intended to be large enough to make the overhead of system calls negligible,
   * without being so large that it causes problems for systems with atypical memory management if
   * approaches 2 or 3 are used.
   */
  private static final int ZERO_COPY_CHUNK_SIZE = 512 * 1024;

- Introduction of the pod overhead feature to the scheduler. This functionality is alpha-level as of

- File descriptors are leaked in docker v1.11 ([#275](https://github.com/docker/containerd/issues/275))
- Additional memory overhead per container in docker v1.11 ([#21737](https://github.com/docker/docker/issues/21737))
- [List of upstream fixes](https://github.com/docker/docker/compare/v1.10.3...runcom:docker-1.10.3-stable) for docker v1.10 identified by RedHat

      which can be identified by the [node problem detector](http://kubernetes.io/docs/admin/node-problem/)
    - Leaked File descriptors ([#275](https://github.com/docker/containerd/issues/275))
    - Additional memory overhead per container ([#21737]((https://github.com/docker/docker/issues/21737))

bat?' when suddenly, thump! thump! down she came upon a heap of
sticks and dry leaves, and the fall was over.

  Alice was not a bit hurt, and she jumped up on to her feet in a
moment:  she looked up, but it was all dark overhead; before her
was another long passage, and the White Rabbit was still in
sight, hurrying down it.  There was not a moment to be lost:
away went Alice like the wind, and was just in time to hear it