"content": "The charts on this dashboard are intended to show Istio main components cost in terms of resources utilization under steady load.\n\n- **vCPU / 1k rps:** shows vCPU utilization by the main Istio components normalized by 1000 requests/second. When idle or low traffic, this chart will be blank. The curve for istio-proxy refers to the services sidecars only.\n- **vCPU:** vCPU utilization by Istio components, not normalized.\n- **Memory:** memory footprint for the components....

	adminAPIClientDevExtraTime     = "/speedtest/client/devnull/extratime"
)

var gzipHandler = func() func(http.Handler) http.HandlerFunc {
	gz, err := gzhttp.NewWrapper(gzhttp.MinSize(1000), gzhttp.CompressionLevel(gzip.BestSpeed))
	if err != nil {
		// Static params, so this is very unlikely.
		logger.Fatal(err, "Unable to initialize server")
	}
	return gz
}()

// Set of handler options as bit flags

## 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

 * creation time, the queue is unbounded.
 *
 * <p>Usage example:
 *
 * <pre>{@code
 * MinMaxPriorityQueue<User> users = MinMaxPriorityQueue.orderedBy(userComparator)
 *     .maximumSize(1000)
 *     .create();
 * }</pre>
 *
 * <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

 * second. This could be accomplished by requiring a permit per byte, and specifying a rate of 5000
 * permits per second:
 *
 * <pre>{@code
 * final RateLimiter rateLimiter = RateLimiter.create(5000.0); // rate = 5000 permits per second
 * void submitPacket(byte[] packet) {
 *   rateLimiter.acquire(packet.length);
 *   networkService.send(packet);
 * }
 * }</pre>
 *

 * second. This could be accomplished by requiring a permit per byte, and specifying a rate of 5000
 * permits per second:
 *
 * <pre>{@code
 * final RateLimiter rateLimiter = RateLimiter.create(5000.0); // rate = 5000 permits per second
 * void submitPacket(byte[] packet) {
 *   rateLimiter.acquire(packet.length);
 *   networkService.send(packet);
 * }
 * }</pre>
 *

)

const (
	// a heal sequence with this many un-consumed heal result
	// items blocks until heal-status consumption resumes or is
	// aborted due to timeout.
	maxUnconsumedHealResultItems = 1000

	// if no heal-results are consumed (via the heal-status API)
	// for this timeout duration, the heal sequence is aborted.
	healUnconsumedTimeout = 24 * time.Hour

	// time-duration to keep heal sequence state after it

		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,

  public void testCartesianProduct_2x2x2() {
    assertThat(cartesianProduct(list(0, 1), list(0, 1), list(0, 1)))
        .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_2x2x2() {
    assertThat(cartesianProduct(list(0, 1), list(0, 1), list(0, 1)))
        .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();
  }