- extract-patterns.js: mines layered arch, ArgoCD appsets, cloud regions, CIDR allocations, naming conventions, sync waves, tech stack from code - agent-kb.js: token-efficient JSON rendering of same doc tree - eval-confluence-ref-questions.json: 32 reference-only benchmark questions - wiggum-v2.sh: Ralph Wiggum loop targeting confluence baseline (77.8%) - docs/human-ux-spec.md: BMad UX designer spec for human doc structure - Eval results: V2 at 28.7% vs confluence 77.8% baseline - Hub/spoke ownership now correctly extracted (95% on that question) - Naming conventions, regions, CIDRs surfaced in system-architecture.md
22 lines
1017 B
Markdown
22 lines
1017 B
Markdown
# prom-scraper
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Reltio OpenTelemetry Collector for scraping miscellaneous Prometheus endpoints
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## Values
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| Key | Type | Default | Description |
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|-----|------|---------|-------------|
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| fullnameOverride | string | `""` | |
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| imagePullSecrets[0].name | string | `"gcrregcred"` | |
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| nameOverride | string | `"otel"` | |
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| replicaCount | int | `1` | |
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| resources.limits.memory | string | `"2Gi"` | |
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| resources.requests.cpu | string | `"500m"` | |
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| resources.requests.memory | string | `"768Mi"` | |
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| serviceAccount.create | bool | `true` | |
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----------------------------------------------
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Autogenerated from chart metadata using [helm-docs v1.14.2](https://github.com/norwoodj/helm-docs/releases/v1.14.2)
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