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Kafka Job

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)

Kafka Job has 12 facts recorded in Dontopedia across 3 references, with 2 live disagreements.

12 facts·9 predicates·3 sources·2 in dispute

Mostly:rdf:type(3), has static config(2), uses static config(1)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Has Static Configin disputehasStaticConfig

Uses Static ConfigusesStaticConfig

  • true[1]all time · C3ebff5a 3a95 4221 9231 86f99bd9eab8

Has Job NamehasJobName

  • kafka[1]all time · C3ebff5a 3a95 4221 9231 86f99bd9eab8

Has TargethasTarget

  • localhost:9092[1]all time · C3ebff5a 3a95 4221 9231 86f99bd9eab8

Rdfs:labelrdfs:label

  • kafka[1]all time · C3ebff5a 3a95 4221 9231 86f99bd9eab8

Has Scrape ConfighasScrapeConfig

Job NamejobName

  • kafka[2]sourceall time · 15a138c1 5669 488d Ae7c 4e2ad4436559

Namename

  • kafka[3]sourceall time · Dff01560 B446 4839 A8e8 0305d42e81c7

Inbound mentions (5)

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.

containsJobContains Job(3)

containsJobDefinitionContains Job Definition(1)

hasMemberHas Member(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.

hasJobNamebeam/c3ebff5a-3a95-4221-9231-86f99bd9eab8
kafka
hasScrapeConfigbeam/15a138c1-5669-488d-ae7c-4e2ad4436559
ex:static-config
hasStaticConfigbeam/dff01560-b446-4839-a8e8-0305d42e81c7
ex:static-config
hasStaticConfigbeam/15a138c1-5669-488d-ae7c-4e2ad4436559
ex:static-config
hasTargetbeam/c3ebff5a-3a95-4221-9231-86f99bd9eab8
localhost:9092
jobNamebeam/15a138c1-5669-488d-ae7c-4e2ad4436559
kafka
namebeam/dff01560-b446-4839-a8e8-0305d42e81c7
kafka
labelbeam/c3ebff5a-3a95-4221-9231-86f99bd9eab8
kafka
typebeam/dff01560-b446-4839-a8e8-0305d42e81c7
ex:PrometheusJob
typebeam/15a138c1-5669-488d-ae7c-4e2ad4436559
ex:scrape-job
typebeam/c3ebff5a-3a95-4221-9231-86f99bd9eab8
ex:ScrapeJob
usesStaticConfigbeam/c3ebff5a-3a95-4221-9231-86f99bd9eab8
true

References (3)

3 references
  1. customctx:claims/beam/c3ebff5a-3a95-4221-9231-86f99bd9eab8
  2. [2]beam-chunk4 facts
    customctx:claims/beam/15a138c1-5669-488d-ae7c-4e2ad4436559
    • full textbeam-chunk
      text/plain1 KBdoc:beam/15a138c1-5669-488d-ae7c-4e2ad4436559
      Show excerpt
      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
  3. [3]beam-chunk3 facts
    customctx:claims/beam/dff01560-b446-4839-a8e8-0305d42e81c7
    • full textbeam-chunk
      text/plain1 KBdoc:beam/dff01560-b446-4839-a8e8-0305d42e81c7
      Show excerpt
      type: "$1" name: "$2" ``` #### Step 2: Configure Prometheus Add the following to your Prometheus configuration: ```yaml scrape_configs: - job_name: 'kafka' static_configs: - targets: ['broker1:9092', 'broker2:9092'

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