Files
dev-intel-v2/foxtrot-docs-v3/reference/helm/charts/app-common-charts-otel-collector-charts-prom-scraper.md
Jarvis Prime 0265ec7a60 feat: confluence benchmark, pattern extractor, agent KB, UX spec
- 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
2026-03-10 14:20:35 +00:00

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# prom-scraper
![Version: 0.1.1](https://img.shields.io/badge/Version-0.1.1-informational?style=flat-square) ![Type: application](https://img.shields.io/badge/Type-application-informational?style=flat-square) ![AppVersion: 0.116.1](https://img.shields.io/badge/AppVersion-0.116.1-informational?style=flat-square)
Reltio OpenTelemetry Collector for scraping miscellaneous Prometheus endpoints
## Values
| Key | Type | Default | Description |
|-----|------|---------|-------------|
| fullnameOverride | string | `""` | |
| imagePullSecrets[0].name | string | `"gcrregcred"` | |
| nameOverride | string | `"otel"` | |
| replicaCount | int | `1` | |
| resources.limits.memory | string | `"2Gi"` | |
| resources.requests.cpu | string | `"500m"` | |
| resources.requests.memory | string | `"768Mi"` | |
| serviceAccount.create | bool | `true` | |
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Autogenerated from chart metadata using [helm-docs v1.14.2](https://github.com/norwoodj/helm-docs/releases/v1.14.2)