Dontopedia

Vpa Example Config

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Vpa Example Config has 11 facts recorded in Dontopedia across 1 reference.

11 facts·11 predicates·1 sources

Mostly:rdf:type(1), api version(1), kind(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (1)

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containsContains(1)

Other facts (11)

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.

11 facts
PredicateValueRef
Rdf:typeYaml Configuration[1]
Api Versionautoscaling.k8s.io/v1[1]
KindVerticalPodAutoscaler[1]
Metadata Nameexample-vpa[1]
Target Ref Api Versionapps/v1[1]
Target Ref KindDeployment[1]
Target Ref Nameexample-deployment[1]
Update Policy Update ModeAuto[1]
Has Section Number4[1]
Contained inYaml Block[1]
Uses SyntaxYaml Syntax[1]

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.

typebeam/2edbd209-1414-4f96-bacd-45f57824d4a5
ex:YAMLConfiguration
apiVersionbeam/2edbd209-1414-4f96-bacd-45f57824d4a5
autoscaling.k8s.io/v1
kindbeam/2edbd209-1414-4f96-bacd-45f57824d4a5
VerticalPodAutoscaler
metadataNamebeam/2edbd209-1414-4f96-bacd-45f57824d4a5
example-vpa
targetRefApiVersionbeam/2edbd209-1414-4f96-bacd-45f57824d4a5
apps/v1
targetRefKindbeam/2edbd209-1414-4f96-bacd-45f57824d4a5
Deployment
targetRefNamebeam/2edbd209-1414-4f96-bacd-45f57824d4a5
example-deployment
updatePolicyUpdateModebeam/2edbd209-1414-4f96-bacd-45f57824d4a5
Auto
hasSectionNumberbeam/2edbd209-1414-4f96-bacd-45f57824d4a5
4
containedInbeam/2edbd209-1414-4f96-bacd-45f57824d4a5
ex:yaml-block
usesSyntaxbeam/2edbd209-1414-4f96-bacd-45f57824d4a5
ex:yaml-syntax

References (1)

1 references
  1. ctx:claims/beam/2edbd209-1414-4f96-bacd-45f57824d4a5
    • full textbeam-chunk
      text/plain1 KBdoc:beam/2edbd209-1414-4f96-bacd-45f57824d4a5
      Show excerpt
      The Vertical Pod Autoscaler automatically adjusts the resource requests and limits of individual pods based on historical usage patterns. This can help optimize resource allocation and improve performance during peak loads. #### Example Co

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