Eliminate foxhunt-binaries and training-binaries PVCs — services and training jobs now fetch binaries from MinIO via rclone initContainers. This removes L40S GPU autoscale-for-PVC-writes, removes RWO node affinity constraints, and requires zero image rebuilds. Changes: - .gitlab-ci.yml: replace ~115 lines of binary-writer pod logic with aws s3 cp to MinIO (~25 lines) - 8 service YAMLs + 2 GPU overlays: add rclone initContainer + emptyDir - Training job template: MinIO rclone fetch replaces PVC copy - Delete foxhunt-binaries-pvc.yaml and training-binaries-pvc.yaml - Add s3.fxhnt.ai DNS record (Terraform) and nginx proxy block - Replace pod-writer-deploy skill with MinIO-based deploy skill Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
264 lines
8.3 KiB
Markdown
264 lines
8.3 KiB
Markdown
# MinIO Binary Distribution — Eliminate PVC Binary Writers
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**Date:** 2026-03-04
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**Status:** Approved
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**Scope:** Replace PVC-based binary distribution with MinIO S3 fetch pattern
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## Problem
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The current deploy cycle uses `kubectl cp` via temporary busybox writer pods to copy
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compiled binaries onto RWO PVCs. Two PVCs exist:
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- `foxhunt-binaries` (foxhunt node) — service binaries
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- `training-binaries` (ci-training node) — training binaries
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The training PVC writer triggers L40S GPU autoscale from zero just to receive a binary
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copy — expensive and slow. RWO PVCs also create node-affinity constraints that prevent
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cross-pool flexibility.
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## Solution
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Use MinIO (already deployed on `platform` node) as the binary distribution layer.
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**Flow:**
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```
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compile jobs → GitLab artifacts (source of truth)
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↓
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deploy job: aws s3 cp → MinIO foxhunt-binaries bucket
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↓
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service pods: rclone initContainer → emptyDir
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training jobs: rclone initContainer → emptyDir
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external GPUs: GitLab artifacts API
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```
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**Key insight:** Zero image rebuilds. `aws-cli` is already in infra-runner, `rclone`
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is already in both runtime images.
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## Changes
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### 1. Deploy Job (`.gitlab-ci.yml`)
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**Delete:** ~115 lines of binary-writer pod logic (lines 1567-1681)
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**Add:** ~20 lines of `aws s3 cp` to MinIO
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```yaml
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# Upload binaries to MinIO (replaces binary-writer pods)
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- |
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if [ -d "build-out/services" ] || [ -d "build-out/training" ]; then
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export AWS_ACCESS_KEY_ID="$MINIO_ACCESS_KEY"
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export AWS_SECRET_ACCESS_KEY="$MINIO_SECRET_KEY"
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S3="aws s3 --endpoint-url https://minio.foxhunt.svc.cluster.local:9000 --no-verify-ssl"
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if [ -d "build-out/services" ]; then
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$S3 cp build-out/services/ s3://foxhunt-binaries/services/ --recursive
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echo "Service binaries → MinIO"
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fi
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if [ -d "build-out/training" ]; then
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$S3 cp build-out/training/ s3://foxhunt-binaries/training/ --recursive
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echo "Training binaries → MinIO"
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fi
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if [ -d "web-dashboard/dist" ]; then
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$S3 cp web-dashboard/dist/ s3://foxhunt-binaries/static/ --recursive
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echo "Web dashboard assets → MinIO"
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fi
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fi
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```
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Also remove:
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- `kubectl apply -f infra/k8s/storage/foxhunt-binaries-pvc.yaml`
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- `kubectl apply -f infra/k8s/training/training-binaries-pvc.yaml`
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Add MinIO credentials as CI variables (`MINIO_ACCESS_KEY`, `MINIO_SECRET_KEY`) or
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source from existing `minio-credentials` secret.
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### 2. Service Deployments (8 files in `infra/k8s/services/`)
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For each service, replace PVC volume mount with initContainer + emptyDir:
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```yaml
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spec:
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template:
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spec:
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initContainers:
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- name: fetch-binary
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image: rg.fr-par.scw.cloud/foxhunt-ci/foxhunt-runtime:latest
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command: ["/bin/sh", "-c"]
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args:
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- |
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rclone copyto \
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":s3:foxhunt-binaries/services/${SERVICE_NAME}" \
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"/binaries/${SERVICE_NAME}" \
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--s3-provider=Minio \
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--s3-endpoint=https://minio.foxhunt.svc.cluster.local:9000 \
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--s3-access-key-id="${MINIO_ACCESS_KEY}" \
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--s3-secret-access-key="${MINIO_SECRET_KEY}" \
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--s3-no-check-bucket \
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--no-check-certificate
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chmod +x "/binaries/${SERVICE_NAME}"
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echo "Fetched ${SERVICE_NAME} ($(stat -c%s /binaries/${SERVICE_NAME}) bytes)"
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env:
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- name: SERVICE_NAME
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value: trading_service # per-service value
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- name: MINIO_ACCESS_KEY
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valueFrom:
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secretKeyRef:
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name: minio-credentials
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key: access-key
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- name: MINIO_SECRET_KEY
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valueFrom:
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secretKeyRef:
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name: minio-credentials
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key: secret-key
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volumeMounts:
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- name: binaries
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mountPath: /binaries
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resources:
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requests:
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cpu: 100m
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memory: 64Mi
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limits:
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cpu: 500m
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memory: 128Mi
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# Also fetch web-dashboard static assets for web-gateway
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volumes:
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- name: binaries
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emptyDir:
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sizeLimit: 200Mi # single stripped binary ~20-50MB
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```
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Remove from each service:
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```yaml
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# DELETE these lines:
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volumes:
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- name: binaries
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persistentVolumeClaim:
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claimName: foxhunt-binaries
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readOnly: true
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```
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**web-gateway** additionally needs static assets fetched:
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```yaml
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# Extra step in web-gateway initContainer:
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rclone copy ":s3:foxhunt-binaries/static/" "/binaries/static/" \
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--s3-provider=Minio ...
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```
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### 3. Training Job Template (`infra/k8s/training/job-template.yaml`)
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Replace the PVC-based fetch-binary initContainer with MinIO rclone:
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```yaml
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initContainers:
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- name: fetch-binary
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image: rg.fr-par.scw.cloud/foxhunt-ci/foxhunt-training-runtime:latest
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command: ["/bin/sh", "-c"]
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args:
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- |
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rclone copyto \
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":s3:foxhunt-binaries/training/${TRAINING_BINARY}" \
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"/binaries/${TRAINING_BINARY}" \
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--s3-provider=Minio \
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--s3-endpoint=https://minio.foxhunt.svc.cluster.local:9000 \
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--s3-access-key-id=${MINIO_ACCESS_KEY} \
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--s3-secret-access-key=${MINIO_SECRET_KEY} \
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--s3-no-check-bucket \
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--no-check-certificate
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chmod +x "/binaries/${TRAINING_BINARY}"
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env:
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- name: TRAINING_BINARY
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value: train_baseline_supervised
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- name: MINIO_ACCESS_KEY
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valueFrom:
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secretKeyRef:
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name: minio-credentials
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key: access-key
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- name: MINIO_SECRET_KEY
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valueFrom:
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secretKeyRef:
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name: minio-credentials
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key: secret-key
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volumeMounts:
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- name: binaries
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mountPath: /binaries
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```
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Remove `training-binaries-src` volume (PVC mount).
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### 4. Files to Delete
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- `infra/k8s/storage/foxhunt-binaries-pvc.yaml`
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- `infra/k8s/training/training-binaries-pvc.yaml`
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### 5. Files Unchanged
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- `training-data-pvc.yaml` — keep as-is
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- `sccache-pvc.yaml` — keep
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- `minio-data-new` (in minio.yaml) — keep
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- CI training jobs (`.train-rl-base`, `.train-validate-base`) — already use GL artifacts via `needs:`
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## Service-to-Binary Mapping
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| Service Deployment | Binary Name | Pool |
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|--------------------|-------------|------|
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| trading-service | trading_service | foxhunt |
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| api-gateway | api_gateway | foxhunt |
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| broker-gateway | broker_gateway_service | foxhunt |
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| ml-training-service | ml_training_service | foxhunt |
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| backtesting-service | backtesting_service | foxhunt |
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| trading-agent-service | trading_agent_service | foxhunt |
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| data-acquisition-service | data_acquisition_service | foxhunt |
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| web-gateway | web-gateway | foxhunt |
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## MinIO Bucket Layout
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```
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foxhunt-binaries/
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├── services/
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│ ├── trading_service
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│ ├── api_gateway
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│ ├── broker_gateway_service
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│ ├── ml_training_service
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│ ├── backtesting_service
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│ ├── trading_agent_service
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│ ├── data_acquisition_service
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│ └── web-gateway
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├── training/
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│ ├── train_baseline_rl
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│ ├── train_baseline_supervised
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│ ├── evaluate_baseline
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│ ├── evaluate_supervised
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│ ├── hyperopt_baseline_rl
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│ ├── hyperopt_baseline_supervised
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│ └── training_uploader
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└── static/
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└── (web-dashboard dist files)
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```
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## External GPU Access
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External GPUs download training binaries from GitLab artifacts API:
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```bash
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curl --header "PRIVATE-TOKEN: $GL_TOKEN" \
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"https://<gitlab>/api/v4/projects/<id>/jobs/artifacts/main/download?job=compile-training" \
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-o artifacts.zip
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```
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Or from MinIO via Tailscale (if MinIO is exposed).
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## Rollback
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If MinIO is down during deploy, the deploy job fails fast (aws s3 cp fails).
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Service pods with existing emptyDir continue running. New pods fail to start
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(initContainer fails). MinIO recovery restores normal operation.
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Previous binaries remain in MinIO until overwritten — no expiry, no garbage.
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## Net Effect
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- **Deleted:** ~115 lines of binary-writer pod logic
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- **Deleted:** 2 PVC manifests
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- **Added:** ~20 lines of aws s3 cp in deploy job
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- **Modified:** 8 service yamls + 1 job template (PVC → initContainer+emptyDir)
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- **Image rebuilds:** 0
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- **L40S autoscale for PVC writes:** eliminated
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