Dontopedia

severity

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

severity has 18 facts recorded in Dontopedia across 7 references, with 3 live disagreements.

18 facts·9 predicates·7 sources·3 in dispute

Mostly:rdf:type(5), has value(3), ex:value(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (6)

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.

hasLabelHas Label(2)

alertLabelsAlert Labels(1)

containsContains(1)

containsSeverityContains Severity(1)

ex:hasLabelEx:has Label(1)

Other facts (15)

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.

15 facts
PredicateValueRef
Rdf:typeLabel[2]
Rdf:typeAlert Label[3]
Rdf:typeAlert Label[4]
Rdf:typeAlert Label[6]
Rdf:typeLabel Field[7]
Has Valuewarning[2]
Has Valuecritical[2]
Has Valuewarning[5]
Ex:valuecritical[1]
Keyseverity[3]
Valuecritical[3]
Label Typeseverity[3]
Is Standard Labeltrue[5]
Has Keyseverity[5]
Belongs toPrometheus Alert Rule[7]

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.

valuebeam/491d5638-8000-453a-a411-f92ebaf485c8
critical
typebeam/dd6f25c6-5b70-433a-9895-3af9316ffc71
ex:Label
labelbeam/dd6f25c6-5b70-433a-9895-3af9316ffc71
severity
hasValuebeam/dd6f25c6-5b70-433a-9895-3af9316ffc71
warning
hasValuebeam/dd6f25c6-5b70-433a-9895-3af9316ffc71
critical
typebeam/15a138c1-5669-488d-ae7c-4e2ad4436559
ex:alert-label
keybeam/15a138c1-5669-488d-ae7c-4e2ad4436559
severity
valuebeam/15a138c1-5669-488d-ae7c-4e2ad4436559
critical
labelTypebeam/15a138c1-5669-488d-ae7c-4e2ad4436559
severity
typebeam/2b6438f8-8b84-47c9-9ace-e4556091bd3e
ex:AlertLabel
isStandardLabelbeam/51bac971-bc36-4dea-93dd-4c036ed6f393
true
hasKeybeam/51bac971-bc36-4dea-93dd-4c036ed6f393
severity
hasValuebeam/51bac971-bc36-4dea-93dd-4c036ed6f393
warning
typebeam/7fc26e2d-2a9c-4148-b2d5-f1285abc6c81
ex:AlertLabel
labelbeam/7fc26e2d-2a9c-4148-b2d5-f1285abc6c81
severity
typebeam/32fca60d-82ba-4da2-bd4d-5a0c2420e9e8
ex:LabelField
labelbeam/32fca60d-82ba-4da2-bd4d-5a0c2420e9e8
Severity label field
belongsTobeam/32fca60d-82ba-4da2-bd4d-5a0c2420e9e8
ex:prometheus-alert-rule

References (7)

7 references
  1. ctx:claims/beam/491d5638-8000-453a-a411-f92ebaf485c8
    • full textbeam-chunk
      text/plain1 KBdoc:beam/491d5638-8000-453a-a411-f92ebaf485c8
      Show excerpt
      - **High Database Load**: Alert when database load exceeds a threshold. ### . **Application Performance Alerts** - **High Application Load**: Alert when application load exceeds a threshold. - **Slow Application Response**: Alert when appl
  2. ctx:claims/beam/dd6f25c6-5b70-433a-9895-3af9316ffc71
  3. ctx:claims/beam/15a138c1-5669-488d-ae7c-4e2ad4436559
    • full textbeam-chunk
      text/plain1 KBdoc:beam/15a138c1-5669-488d-ae7c-4e2ad4436559
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      Kafka provides a variety of built-in metrics that can be used to monitor the health of the brokers. These metrics can be exposed via JMX (Java Management Extensions) and collected by monitoring tools like Prometheus. #### Steps to Expose K
  4. ctx:claims/beam/2b6438f8-8b84-47c9-9ace-e4556091bd3e
    • full textbeam-chunk
      text/plain1 KBdoc:beam/2b6438f8-8b84-47c9-9ace-e4556091bd3e
      Show excerpt
      - Define thresholds that trigger alerts when log volume exceeds a certain percentage of the normal volume. 3. **Choose Monitoring Tools:** - Use monitoring tools like Prometheus, Grafana, or Kibana to monitor log volume and trigger a
  5. ctx:claims/beam/51bac971-bc36-4dea-93dd-4c036ed6f393
    • full textbeam-chunk
      text/plain1 KBdoc:beam/51bac971-bc36-4dea-93dd-4c036ed6f393
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      #### Example Alert Configuration in Prometheus: ```yaml alerting: alertmanagers: - static_configs: - targets: - localhost:9093 rule_files: - "rules/*.yaml" groups: - name: example rules: - alert: HighRequestLatency
  6. ctx:claims/beam/7fc26e2d-2a9c-4148-b2d5-f1285abc6c81
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7fc26e2d-2a9c-4148-b2d5-f1285abc6c81
      Show excerpt
      You can also use a monitoring tool like Prometheus and Alertmanager to set up custom checks and alerts. #### Example Prometheus Configuration: 1. **Prometheus Configuration (`prometheus.yml`)**: ```yaml scrape_configs: - job_na
  7. ctx:claims/beam/32fca60d-82ba-4da2-bd4d-5a0c2420e9e8
    • full textbeam-chunk
      text/plain1011 Bdoc:beam/32fca60d-82ba-4da2-bd4d-5a0c2420e9e8
      Show excerpt
      expr: http_request_duration_seconds_count{status="503"} > 0 for: 1m labels: severity: critical annotations: summary: "External service returned 503 errors" description: "The external service at {{ $labels.i

See also

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