// +optional
  optional k8s.io.apimachinery.pkg.api.resource.Quantity averageValue = 3;

  // averageUtilization is the target value of the average of the
  // resource metric across all relevant pods, represented as a percentage of
  // the requested value of the resource for the pods.
  // Currently only valid for Resource metric source type
  // +optional
  optional int32 averageUtilization = 4;
}

<img src="/img/deployment/concepts/process-ram.svg">

And of course, the same machine would probably have **other processes** running as well, apart from your application.

An interesting detail is that the percentage of the **CPU used** by each process can **vary** a lot over time, but the **memory (RAM)** normally stays more or less **stable**.

  // +optional
  optional k8s.io.apimachinery.pkg.api.resource.Quantity averageValue = 3;

  // averageUtilization is the target value of the average of the
  // resource metric across all relevant pods, represented as a percentage of
  // the requested value of the resource for the pods.
  // Currently only valid for Resource metric source type
  // +optional
  optional int32 averageUtilization = 4;
}

        "uid": "${DS_PROMETHEUS}"
      },
      "description": "",
      "fieldConfig": {
        "defaults": {
          "mappings": [],
          "thresholds": {
            "mode": "percentage",
            "steps": [
              {
                "color": "green",
                "value": null
              }
            ]
          }
        },
        "overrides": []
      },

                "result": {
                  "text": "N/A"
                }
              },
              "type": "special"
            }
          ],
          "thresholds": {
            "mode": "percentage",
            "steps": [
              {
                "color": "green",
                "value": null
              }
            ]
          },
          "unit": "dtdurations"
        },

	}
	return setDriveCounts
}

type serverPoolsAvailableSpace []poolAvailableSpace

type poolAvailableSpace struct {
	Index      int
	Available  uint64 // in bytes
	MaxUsedPct int    // Used disk percentage of most filled disk, rounded down.
}

// TotalAvailable - total available space
func (p serverPoolsAvailableSpace) TotalAvailable() uint64 {
	total := uint64(0)
	for _, z := range p {
		total += z.Available

suggest.field.contents=_default
suggest.field.tags=label
suggest.field.roles=role
suggest.field.index.contents=content,title
suggest.update.request.interval=0
suggest.update.doc.per.request=2
suggest.update.contents.limit.num.percentage=50%
suggest.update.contents.limit.num=10000
suggest.update.contents.limit.doc.size=50000
suggest.source.reader.scroll.size=1
suggest.popular.word.cache.size=1000
suggest.popular.word.cache.expire=60

        "show": true,
        "total": false,
        "values": false
      },
      "lines": true,
      "linewidth": 1,
      "links": [],
      "nullPointMode": "null",
      "percentage": false,
      "pointradius": 5,
      "points": false,
      "renderer": "flot",
      "seriesOverrides": [],
      "spaceLength": 10,
      "stack": false,
      "steppedLine": false,

    String SUGGEST_UPDATE_DOC_PER_REQUEST = "suggest.update.doc.per.request";

    /** The key of the configuration. e.g. 50% */
    String SUGGEST_UPDATE_CONTENTS_LIMIT_NUM_PERCENTAGE = "suggest.update.contents.limit.num.percentage";

    /** The key of the configuration. e.g. 10000 */
    String SUGGEST_UPDATE_CONTENTS_LIMIT_NUM = "suggest.update.contents.limit.num";

Previously, large builds could see 100%+ build time increase from enabling PGO.
In Go 1.23, overhead should be in the single digit percentages.

## Assembler {#assembler}