Dontopedia

alert severity hierarchy

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

alert severity hierarchy has 20 facts recorded in Dontopedia across 6 references, with 5 live disagreements.

20 facts·5 predicates·6 sources·5 in dispute

Mostly:rdf:type(7), includes(5), has member(3)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (11)

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.

memberOfMember of(5)

hasAllowedValuesHas Allowed Values(1)

hasEnumerationHas Enumeration(1)

includesDetailIncludes Detail(1)

includesMetadataIncludes Metadata(1)

mentionsSeverityLevelsMentions Severity Levels(1)

usesEnumerativeExampleUses Enumerative Example(1)

Other facts (19)

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.

19 facts
PredicateValueRef
Rdf:typeValue Set[1]
Rdf:typeOrdered Set[2]
Rdf:typeHierarchy[3]
Rdf:typeLog Level Collection[4]
Rdf:typeLog Level Hierarchy[4]
Rdf:typeLog Level Category[5]
Rdf:typeEnum[6]
IncludesDebug Level[4]
IncludesInfo Level[4]
IncludesWarning Level[4]
IncludesError Level[4]
IncludesCritical Level[4]
Has MemberSeverity Low[1]
Has MemberSeverity Medium[1]
Has MemberSeverity High[1]
Containshigh[2]
Containsmedium[2]
Used byPython Logging Library[4]
Used byLoguru Library[4]

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/2a83635e-3fcf-4c3c-b5f6-0563e7048b82
ex:ValueSet
hasMemberbeam/2a83635e-3fcf-4c3c-b5f6-0563e7048b82
ex:severity-low
hasMemberbeam/2a83635e-3fcf-4c3c-b5f6-0563e7048b82
ex:severity-medium
hasMemberbeam/2a83635e-3fcf-4c3c-b5f6-0563e7048b82
ex:severity-high
typebeam/c8c1238f-8282-4676-bc74-447791e6832e
ex:Ordered-Set
containsbeam/c8c1238f-8282-4676-bc74-447791e6832e
high
containsbeam/c8c1238f-8282-4676-bc74-447791e6832e
medium
typebeam/4467b20b-1dc9-481d-8d1e-c4bf33927a33
ex:Hierarchy
labelbeam/4467b20b-1dc9-481d-8d1e-c4bf33927a33
alert severity hierarchy
typebeam/9368b7cb-80a4-44aa-9c95-55c7bfda2133
ex:LogLevelCollection
includesbeam/9368b7cb-80a4-44aa-9c95-55c7bfda2133
ex:debug-level
includesbeam/9368b7cb-80a4-44aa-9c95-55c7bfda2133
ex:info-level
includesbeam/9368b7cb-80a4-44aa-9c95-55c7bfda2133
ex:warning-level
includesbeam/9368b7cb-80a4-44aa-9c95-55c7bfda2133
ex:error-level
includesbeam/9368b7cb-80a4-44aa-9c95-55c7bfda2133
ex:critical-level
typebeam/9368b7cb-80a4-44aa-9c95-55c7bfda2133
ex:LogLevelHierarchy
usedBybeam/9368b7cb-80a4-44aa-9c95-55c7bfda2133
ex:python-logging-library
usedBybeam/9368b7cb-80a4-44aa-9c95-55c7bfda2133
ex:loguru-library
typebeam/e0c31de3-824d-4872-855e-6c454d7574ce
ex:LogLevelCategory
typebeam/e684f54e-0a14-49fb-b166-3f8455d22d91
ex:Enum

References (6)

6 references
  1. ctx:claims/beam/2a83635e-3fcf-4c3c-b5f6-0563e7048b82
    • full textbeam-chunk
      text/plain1 KBdoc:beam/2a83635e-3fcf-4c3c-b5f6-0563e7048b82
      Show excerpt
      [Turn 1315] Assistant: Certainly! To refine your risk profiles and prioritize the 5 critical issues, you can design a system that tracks and analyzes these risks using data modeling and analytics. Here's a step-by-step guide to help you set
  2. ctx:claims/beam/c8c1238f-8282-4676-bc74-447791e6832e
    • full textbeam-chunk
      text/plain1 KBdoc:beam/c8c1238f-8282-4676-bc74-447791e6832e
      Show excerpt
      [Turn 5795] Assistant: Certainly! You can extend your JSON configuration to include custom fields for more detailed incident descriptions. This will allow you to provide richer information when sending alerts. ### Step 1: Extend the JSON C
  3. ctx:claims/beam/4467b20b-1dc9-481d-8d1e-c4bf33927a33
    • full textbeam-chunk
      text/plain1 KBdoc:beam/4467b20b-1dc9-481d-8d1e-c4bf33927a33
      Show excerpt
      I'd like to see a Python code snippet that demonstrates how to set up alerts based on specific thresholds, and also how to handle cases where the logging plan is not shared with the team. ```python import logging # Define alert thresholds
  4. ctx:claims/beam/9368b7cb-80a4-44aa-9c95-55c7bfda2133
    • full textbeam-chunk
      text/plain1 KBdoc:beam/9368b7cb-80a4-44aa-9c95-55c7bfda2133
      Show excerpt
      logger.warning('This is a warning message') logger.error('This is an error message') ``` ### Conclusion This setup ensures that your log files are rotated when they reach a certain size, and old log files are compressed to save disk space
  5. ctx:claims/beam/e0c31de3-824d-4872-855e-6c454d7574ce
    • full textbeam-chunk
      text/plain1 KBdoc:beam/e0c31de3-824d-4872-855e-6c454d7574ce
      Show excerpt
      [Turn 7867] Assistant: Certainly! To compare the performance of different logging libraries in Python, such as `Python Logging` and `Loguru`, you can set up both libraries and log messages with different levels of severity. Below is an exam
  6. ctx:claims/beam/e684f54e-0a14-49fb-b166-3f8455d22d91

See also

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