Utilization Target
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)
Utilization Target has 14 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
Mostly:rdf:type(3), target type(2), target value(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (4)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
hasTargetHas Target(3)
- Cpu Metric
ex:cpu-metric - Cpu Resource Spec
ex:cpu-resource-spec - Cpu Utilization Metric
ex:cpu-utilization-metric
specifiesSpecifies(1)
- Cpu Metric
ex:cpu-metric
Other facts (14)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Resource Target | [1] |
| Rdf:type | Target Configuration | [2] |
| Rdf:type | Utilization Target | [3] |
| Target Type | Utilization | [2] |
| Target Type | Utilization | [3] |
| Target Value | 50 | [2] |
| Target Value | 50 | [3] |
| Has Value | 50 | [1] |
| Has Metric | Cpu Utilization Metric | [1] |
| Has Type | Utilization | [3] |
| Has Average Utilization | 50 | [3] |
| Target Unit | percent | [3] |
| Specified by | Cpu Metric | [3] |
| Target Category | Utilization | [3] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (3)
ctx:claims/beam/26d3b996-b57f-4597-8598-823905efa092- full textbeam-chunktext/plain1 KB
doc:beam/26d3b996-b57f-4597-8598-823905efa092Show excerpt
apiVersion: apps/v1 kind: Deployment name: retrieval-module minReplicas: 1 maxReplicas: 10 metrics: - type: Resource resource: name: cpu target: type: Utilization averageUtilization: 50 ``…
ctx:claims/beam/5542d628-f08b-4073-aa07-add948c94b43- full textbeam-chunktext/plain962 B
doc:beam/5542d628-f08b-4073-aa07-add948c94b43Show excerpt
Now, create an HPA to automatically scale the deployment based on CPU utilization: ```yaml apiVersion: autoscaling/v2beta2 kind: HorizontalPodAutoscaler metadata: name: example-hpa spec: scaleTargetRef: apiVersion: apps/v1 kind…
ctx:claims/beam/bce77318-cba6-47da-aaa5-e28bb859b3db
See also
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