...

| `minio_system_drive_waiting_io`                | `gauge`   | Total waiting I/O operations on a drive                            | `drive,set_index,drive_index,pool_index,server`     |
| `minio_system_drive_api_latency_micros`        | `gauge`   | Average last minute latency in µs for drive API storage operations | `drive,api,set_index,drive_index,pool_index,server` |

  `scheduler_scheduling_latency_seconds`
  `scheduler_e2e_scheduling_latency_microseconds`
  `scheduler_scheduling_algorithm_latency_microseconds`
  `scheduler_scheduling_algorithm_predicate_evaluation`
  `scheduler_scheduling_algorithm_priority_evaluation`
  `scheduler_scheduling_algorithm_preemption_evaluation`

It includes built in muxing of concurrent requests as well as congestion handling for streams.

Requests can be "Single Payload" or "Streamed".

Use the MinIO Grid for:

* Small, frequent requests with low latency requirements.
* Long-running requests with small/medium payloads.

Do *not* use the MinIO Grid for:

* Large payloads.

Only a single connection is ever made between two servers.

              "id": "byName",
              "options": "Value #B"
            },
            "properties": [
              {
                "id": "displayName",
                "value": "P50 Latency"
              },
              {
                "id": "unit",
                "value": "s"
              },
              {
                "id": "decimals",
                "value": 2

 * OkHttp performs best when you create a single `OkHttpClient` instance and reuse it for all of
 * your HTTP calls. This is because each client holds its own connection pool and thread pools.
 * Reusing connections and threads reduces latency and saves memory. Conversely, creating a client
 * for each request wastes resources on idle pools.
 *
 * Use `new OkHttpClient()` to create a shared instance with the default settings:
 *
 * ```java

* Ensure traffic between mesh workloads is securely encrypted with an Istio identity.
* Be lightweight enough to not limit adoption.
  * This puts a much tighter budget on CPU, memory, latency, and throughput requirements than traditional Istio sidecars.

Ztunnel was not designed to be a feature-rich data plane.
Quite the opposite - an *aggressively* small feature set is the key feature that makes ztunnel viable.

			// but for the golang.org/x repos it seems to be significantly (~2x)
			// faster than copying one file at a time (via filepath.WalkDir),
			// apparently due to high latency in 'adb' commands.
			if err := adb("push", modDir, deviceModDir); err != nil {
				return 0, err
			}
		} else {
			if err := adb("exec-out", "mkdir", "-p", deviceCwd); err != nil {
				return 0, err
			}

	blockSize   int
	streamWg    sync.WaitGroup
	reuseBlocks bool
}

// newMetacacheWriter will create a serializer that will write objects in given order to the output.
// Provide a block size that affects latency. If 0 a default of 128KiB will be used.
// Block size can be up to 4MiB.
func newMetacacheWriter(out io.Writer, blockSize int) *metacacheWriter {
	if blockSize < 8<<10 {
		blockSize = 128 << 10
	}
	w := metacacheWriter{

- Kube-apiserver now reports latency metric for JWT authenticator authenticate token decisions in the `apiserver_authentication_jwt_authenticator_latency_seconds` metric, labeled by jwtIssuer hash and result. ([#123225](https://github.com/kubernetes/kubernetes/pull/123225), [@aramase](https://github.com/aramase))