// +optional
  optional ExternalMetricStatus external = 5;
}

// MetricTarget defines the target value, average value, or average utilization of a specific metric
message MetricTarget {
  // type represents whether the metric type is Utilization, Value, or AverageValue
  optional string type = 1;

  // value is the target value of the metric (as a quantity).
  // +optional

net.core.wmem_max=4194304
net.core.rmem_max=4194304
net.core.rmem_default=4194304
net.core.wmem_default=4194304
net.ipv4.tcp_rmem="4096 87380 4194304"
net.ipv4.tcp_wmem="4096 65536 4194304"

# Reduce CPU utilization
net.ipv4.tcp_timestamps=0

# Increase throughput
net.ipv4.tcp_sack=1

# Low latency mode for TCP
net.ipv4.tcp_low_latency=1

# The following variable is used to tell the kernel how 

## Storage usage

The selection of varying data and parity drives has a direct impact on the drive space usage. With storage class, you can optimize for high
redundancy or better drive space utilization.

To get an idea of how various combinations of data and parity drives affect the storage usage, let’s take an example of a 100 MiB file stored

  // +optional
  optional ExternalMetricStatus external = 5;
}

// MetricTarget defines the target value, average value, or average utilization of a specific metric
message MetricTarget {
  // type represents whether the metric type is Utilization, Value, or AverageValue
  optional string type = 1;

  // value is the target value of the metric (as a quantity).
  // +optional

"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. Telemetry and policy...

If you have an API that does a comparable amount of computations every time and you have a lot of clients, then the **CPU utilization** will probably *also be stable* (instead of constantly going up and down quickly).

### Examples of Replication Tools and Strategies

				if v.N > 0 {
					di.Metrics.LastMinute[k] = v.asTimedAction()
				}
			}
			for k, v := range info.Metrics.APICalls {
				di.Metrics.APICalls[k] = v
			}
			if info.Total > 0 {
				di.Utilization = float64(info.Used / info.Total * 100)
			}
			disksInfo[index] = di
			return nil
		}, index)
	}

	g.Wait()
	return disksInfo
}

// Get an aggregated storage info across all disks.

  // maxReplicas is the upper limit for the number of pods that can be set by the autoscaler; cannot be smaller than MinReplicas.
  optional int32 maxReplicas = 3;

  // targetCPUUtilizationPercentage is the target average CPU utilization (represented as a percentage of requested CPU) over all the pods;
  // if not specified the default autoscaling policy will be used.
  // +optional
  optional int32 targetCPUUtilizationPercentage = 4;
}

new APIs so we can get out of alpha.

 *  New: Support Java 21's virtual threads (‘OpenJDK Project Loom’). We changed OkHttp's internals
    to use `Lock` and `Condition` instead of `synchronized` for best resource utilization.

 *  New: Switch our Internationalized Domain Name (IDN) implementation to [UTS #46 Nontransitional
    Processing][uts46]. With this fix, the `ß` code point no longer maps to `ss`. OkHttp now embeds

    * Function is linear between points. Resource utilization is defined as one minus ratio of total amount of resource requested by pods on node and node's capacity (scaled to 100).