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

              "group": "A",
              "mode": "none"
            },
            "thresholdsStyle": {
              "mode": "off"
            }
          },
          "mappings": [],
          "thresholds": {
            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": null
              },
              {
                "color": "red",

              "group": "A",
              "mode": "none"
            },
            "thresholdsStyle": {
              "mode": "off"
            }
          },
          "mappings": [],
          "thresholds": {
            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": null
              },
              {
                "color": "red",

                "match": "null",
                "result": {
                  "text": "N/A"
                }
              },
              "type": "special"
            }
          ],
          "thresholds": {
            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": null
              },
              {
                "color": "red",

  "panels": [
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {
          "mappings": [],
          "thresholds": {
            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": null
              },
              {

  before deleting them. This improves performance by not requiring it to
  check for stale rules on every sync. (In smaller clusters, it will still
  remove unused rules immediately once they are no longer used.)

  (The threshold for "large" used here is currently "1000 endpoints" but
  this is subject to change.) ([#110334](https://github.com/kubernetes/kubernetes/pull/110334), [@danwinship](https://github.com/danwinship))

* Deprecate outofdisk-transition-frequency and low-diskspace-threshold-mb flags ([#41941](https://github.com/kubernetes/kubernetes/pull/41941), [@dashpole](https://github.com/dashpole))

        // Test very large values close to EB boundary
        assertEquals("1.024EB", MemoryUtil.byteCountToDisplaySize(FileUtils.ONE_EB));

        // Test exact thresholds
        assertEquals("1.024KB", MemoryUtil.byteCountToDisplaySize(1024L));
        assertEquals("1.024MB", MemoryUtil.byteCountToDisplaySize(1024L * 1024L));

,"asHours","asDays","asWeeks","asMonths","asQuarters","asYears","makeGetter","thresholds","relativeTime$1","posNegDuration","abs$1","toISOString$1","totalSign","ymSign","daysSign","hmsSign","total","toFixed","proto$2","monthsFromDays","argWithSuffix","argThresholds","withSuffix","th","assign","toIsoString","version","updateLocale","tmpLocale","relativeTimeRounding","roundingFunction","relativeTimeThreshold","threshold","limit","myMoment","HTML5_FMT","DATETIME_LOCAL","DATETIME_LOCAL_SECONDS","DAT...

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