// we allocate buffers rounded up to the closest size class.
	c := len(b) + n // ensure enough space for n elements
	if c < 2*cap(b) {
		// The growth rate has historically always been 2x. In the future,
		// we could rely purely on append to determine the growth rate.
		c = 2 * cap(b)
	}
	b2 := append([]byte(nil), make([]byte, c)...)
	i := copy(b2, b)
	return b2[:i]
}

      },
      "pluginVersion": "10.1.5",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "expr": "sum(rate(container_cpu_usage_seconds_total{container=\"istio-proxy\"}[1m]))",
          "format": "time_series",
          "hide": false,
          "intervalFactor": 2,
          "legendFormat": "Total (k8s)",

  - "routeTableCacheTTLInSeconds"
  ([#86266](https://github.com/kubernetes/kubernetes/pull/86266), [@zqingqing1](https://github.com/zqingqing1)) [SIG Cloud Provider]

		return
	default:
		list.eventsSkipped.Add(1)
		err := fmt.Errorf("concurrent target notifications exceeded %d, configured notification target is too slow to accept events for the incoming request rate", maxConcurrentAsyncSend)
		for id := range targetIDset {
			reqInfo := &logger.ReqInfo{}
			reqInfo.AppendTags("targetID", id.String())

          "datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "expr": "sum(irate(istio_requests_total{reporter=~\"$qrep\",destination_workload_namespace=~\"$namespace\",destination_workload=~\"$workload\",response_code!~\"5.*\"}[5m])) / sum(irate(istio_requests_total{reporter=~\"$qrep\",destination_workload_namespace=~\"$namespace\",destination_workload=~\"$workload\"}[5m]))",

		Code:           "SlowDownRead",
		Description:    "Resource requested is unreadable, please reduce your request rate",
		HTTPStatusCode: http.StatusServiceUnavailable,
	},
	ErrSlowDownWrite: {
		Code:           "SlowDownWrite",
		Description:    "Resource requested is unwritable, please reduce your request rate",
		HTTPStatusCode: http.StatusServiceUnavailable,
	},
	ErrMaxVersionsExceeded: {

 *       token attempt, one measure of the quality of a hash function is <i>how well</i> it succeeds
 *       at this goal. Important note: it may be easy to achieve the theoretical minimum collision
 *       rate when using completely <i>random</i> sample input. The true test of a hash function is
 *       how it performs on representative real-world data, which tends to contain many hidden

 *       token attempt, one measure of the quality of a hash function is <i>how well</i> it succeeds
 *       at this goal. Important note: it may be easy to achieve the theoretical minimum collision
 *       rate when using completely <i>random</i> sample input. The true test of a hash function is
 *       how it performs on representative real-world data, which tends to contain many hidden

 * the updated response if it has changed, or a short 'not modified' response if the client's copy
 * is still valid. Such responses increment both the network count and hit count.
 *
 * The best way to improve the cache hit rate is by configuring the web server to return cacheable
 * responses. Although this client honors all [HTTP/1.1 (RFC 7234)][rfc_7234] cache headers, it
 * doesn't cache partial responses.
 *
 * ## Force a Network Response
 *

* update expose command description to add deployment ([#23246](https://github.com/kubernetes/kubernetes/pull/23246), [@AdoHe](https://github.com/AdoHe))
* Add a rate limiter to the GCE cloudprovider ([#23019](https://github.com/kubernetes/kubernetes/pull/23019), [@alex-mohr](https://github.com/alex-mohr))