Successful Builds
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Successful Builds has 9 facts recorded in Dontopedia across 4 references, with 2 live disagreements.
Mostly:rdf:type(4), inverse of(1), opposite of(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (8)
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.
calculatedFromCalculated From(1)
- Success Rate
ex:success-rate
calculatedUsingCalculated Using(1)
- Deployment Success Rate
ex:deployment-success-rate
complementsComplements(1)
- Failed Builds
ex:failed-builds
derivedFromDerived From(1)
- Deployment Success Rate
ex:deployment-success-rate
displaysDisplays(1)
- Panel Success Failure
ex:panel-success-failure
measuresMeasures(1)
- Gitlab Pipeline Status Success Query
ex:gitlab-pipeline-status-success-query
oppositeOfOpposite of(1)
- Failed Builds
ex:failed-builds
variableVariable(1)
- Parse Build Logs
ex:parse-build-logs
Other facts (7)
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.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Metric Series | [1] |
| Rdf:type | Metric | [2] |
| Rdf:type | Counter | [3] |
| Rdf:type | Build Category | [4] |
| Inverse of | Failed Builds | [2] |
| Opposite of | Failed Builds | [2] |
| Complements | Failed Builds | [3] |
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.
References (4)
ctx:claims/beam/eb280934-1f74-4ad3-8787-ad2dc9b63b7c- full textbeam-chunktext/plain1 KB
doc:beam/eb280934-1f74-4ad3-8787-ad2dc9b63b7cShow excerpt
To set up Prometheus to scrape metrics from GitLab, you can use the following configuration: ```yaml scrape_configs: - job_name: 'gitlab' static_configs: - targets: ['gitlab.example.com:8080'] ``` ### Example Grafana Configura…
ctx:claims/beam/5c63a80d-ab41-44c4-9206-92d6fee07d16- full textbeam-chunktext/plain1 KB
doc:beam/5c63a80d-ab41-44c4-9206-92d6fee07d16Show excerpt
rate(gitlab_pipeline_status{status="success"}[1h]) ``` - **Failed Builds Over Time**: ```promql rate(gitlab_pipeline_status{status="failure"}[1h]) ``` - **Total Number of Pipelines Run Over Time**: ```p…
ctx:claims/beam/fec7dce7-0f87-46a0-9d6f-77eebf937e59- full textbeam-chunktext/plain1 KB
doc:beam/fec7dce7-0f87-46a0-9d6f-77eebf937e59Show excerpt
[Turn 3067] Assistant: Certainly! To help you monitor the build success rate, we can write a Python script that parses the log file, counts the number of successful and failed builds, and calculates the success rate. Here's a script that ac…
ctx:claims/beam/5e5fecc5-fd97-40c7-9c3b-559cf024f4a4- full textbeam-chunktext/plain1015 B
doc:beam/5e5fecc5-fd97-40c7-9c3b-559cf024f4a4Show excerpt
- Use monitoring tools to track performance metrics and set up alerts for performance degradation. By following these steps, you can better simulate and analyze the performance of your CI/CD pipeline, identify bottlenecks, and implement…
See also
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