Dontopedia

service_name

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

service_name has 14 facts recorded in Dontopedia across 8 references, with 3 live disagreements.

14 facts·4 predicates·8 sources·3 in dispute

Mostly:rdf:type(6), has value(4), variable name(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (13)

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.

hasParameterHas Parameter(3)

containsInterpolationContains Interpolation(2)

containsContains(1)

containsFieldContains Field(1)

containsVariableContains Variable(1)

containsVariableAssignmentContains Variable Assignment(1)

hasArgumentHas Argument(1)

hasEnvironmentVariableHas Environment Variable(1)

hasVariableHas Variable(1)

isConstructedFromIs Constructed From(1)

Other facts (12)

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.

12 facts
PredicateValueRef
Rdf:typeVariable[1]
Rdf:typeParameter[2]
Rdf:typeParameter[3]
Rdf:typeAttribute[4]
Rdf:typeEnvironment Variable[5]
Rdf:typeService Identifier[6]
Has Value"<your-service-name>"[1]
Has Valueweaviate-service[5]
Has Valueprometheus[6]
Has Valuelogs[8]
Variable NameCLUSTER_NODE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_NAME[5]
EqualsDeployment Name[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.

typebeam/68095140-0993-4851-8138-6ac6d7da1a9c
ex:Variable
hasValuebeam/68095140-0993-4851-8138-6ac6d7da1a9c
"<your-service-name>"
typebeam/4efb917b-f3e0-4bca-881d-b9299bd05d02
ex:Parameter
labelbeam/4efb917b-f3e0-4bca-881d-b9299bd05d02
service_name
typebeam/91cdcf4a-41f4-40bd-ad03-e75658e9a7b7
ex:Parameter
typebeam/ba4d2fe5-888b-410f-aa37-8725aae734fc
ex:Attribute
typebeam/44d70bb1-e2f0-416d-b891-c8b39cd0acae
ex:EnvironmentVariable
hasValuebeam/44d70bb1-e2f0-416d-b891-c8b39cd0acae
weaviate-service
variableNamebeam/44d70bb1-e2f0-416d-b891-c8b39cd0acae
CLUSTER_NODE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_NAME
typebeam/002ac155-d3cf-482f-a718-29bd3c3057fc
ex:ServiceIdentifier
hasValuebeam/002ac155-d3cf-482f-a718-29bd3c3057fc
prometheus
labelbeam/0bb056f8-246f-4ab6-bc52-55518cec9363
service resource name
equalsbeam/0bb056f8-246f-4ab6-bc52-55518cec9363
ex:deployment-name
hasValuebeam/ec67cebe-caac-4f0e-a9e2-5ac79929ebf4
logs

References (8)

8 references
  1. ctx:claims/beam/68095140-0993-4851-8138-6ac6d7da1a9c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/68095140-0993-4851-8138-6ac6d7da1a9c
      Show excerpt
      [Turn 1196] User: For optimizing costs, I'm comparing Azure Search at $0.09/hour with AWS OpenSearch - can you provide a code example that demonstrates how to set up a basic search index in both Azure Search and AWS OpenSearch, and maybe in
  2. ctx:claims/beam/4efb917b-f3e0-4bca-881d-b9299bd05d02
  3. ctx:claims/beam/91cdcf4a-41f4-40bd-ad03-e75658e9a7b7
  4. ctx:claims/beam/ba4d2fe5-888b-410f-aa37-8725aae734fc
    • full textbeam-chunk
      text/plain930 Bdoc:beam/ba4d2fe5-888b-410f-aa37-8725aae734fc
      Show excerpt
      http: paths: - path: / pathType: Prefix backend: service: name: service-a port: number: 80 - host: service-b.example.com http: paths: - path:
  5. ctx:claims/beam/44d70bb1-e2f0-416d-b891-c8b39cd0acae
    • full textbeam-chunk
      text/plain1 KBdoc:beam/44d70bb1-e2f0-416d-b891-c8b39cd0acae
      Show excerpt
      - CLUSTER_NODE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_SERVICE_HEALTH_PORT=8081 - CLUSTER_NODE_SERVICE_SERVICE_SERVICE_SERVI
  6. ctx:claims/beam/002ac155-d3cf-482f-a718-29bd3c3057fc
    • full textbeam-chunk
      text/plain1 KBdoc:beam/002ac155-d3cf-482f-a718-29bd3c3057fc
      Show excerpt
      replacement: $1 - source_labels: [__address__] regex: '(.*):.*' target_label: __address__ replacement: '${1}:80' ``` ### Step 3: Ensure Prometheus Can Access the EC2 Instance Make sure that Prometheus
  7. ctx:claims/beam/0bb056f8-246f-4ab6-bc52-55518cec9363
    • full textbeam-chunk
      text/plain1 KBdoc:beam/0bb056f8-246f-4ab6-bc52-55518cec9363
      Show excerpt
      1. **Label the Namespace**: Label the namespace where your microservices will run to enable automatic sidecar injection. ```sh kubectl label namespace default istio-injection=enabled ``` #### Step 3: Deploy Your Microservices
  8. ctx:claims/beam/ec67cebe-caac-4f0e-a9e2-5ac79929ebf4

See also

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