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+# 3-Pool Node Split Design
+
+## Problem
+
+All foxhunt microservices, infrastructure databases, and monitoring share two DEV1-L nodes
+in a single `services` pool. At idle, CPU utilization is 4-5% and memory 22-33%. There is
+no isolation between platform infrastructure (postgres, redis) and application services
+(trading-service, ib-gateway). A misbehaving foxhunt service could starve the database.
+
+Meanwhile, monitoring (grafana, loki, tempo) sits on the gitlab node, consuming ~1 GiB RAM
+that GitLab could use for Gitaly caching.
+
+## Decision
+
+Split into 3 purpose-specific node pools. Same total cost (EUR 61/mo), better isolation.
+
+## Layout
+
+| Pool | Instance | vCPU | RAM | Cost/mo | Workload |
+|------|----------|------|-----|---------|----------|
+| `gitlab` | GP1-XS | 4 | 16G | EUR 27 | GitLab CE (webservice, sidekiq ×2, gitaly, shell ×2, registry, toolbox, prometheus, runners ×2, pat-rotation) |
+| `platform` | DEV1-L | 4 | 8G | EUR 17 | Postgres, Redis, MinIO, QuestDB, Grafana, Loki, Tempo, kube-state-metrics, tailscale-proxy |
+| `foxhunt` | DEV1-L | 4 | 8G | EUR 17 | api-gateway, trading-service, broker-gateway, ib-gateway, ml-training-service, trading-agent-service, backtesting-service, data-acquisition-service, web-gateway |
+
+CI pools (ci-compile-cpu, ci-training) are unchanged — autoscale 0→1.
+
+## Resource Budget
+
+### Platform node (DEV1-L: 3800m CPU / 6.4 GiB allocatable)
+
+| Pod | CPU req | MEM req | MEM actual |
+|-----|---------|---------|------------|
+| postgres | 200m | 512Mi | ~800Mi |
+| questdb | 200m | 512Mi | ~300Mi |
+| redis | 100m | 256Mi | ~100Mi |
+| minio | 100m | 256Mi | ~200Mi |
+| grafana | — | — | ~190Mi |
+| loki | 100m | 128Mi | ~140Mi |
+| tempo | 100m | 256Mi | ~630Mi |
+| kube-state-metrics | 25m | 64Mi | ~17Mi |
+| tailscale-proxy | 25m | 32Mi | ~33Mi |
+| **Total** | **~850m** | **~2 GiB** | **~2.4 GiB** |
+
+Headroom: 3 GiB CPU, 4 GiB memory — comfortable.
+
+### Foxhunt node (DEV1-L: 3800m CPU / 6.4 GiB allocatable)
+
+| Pod | CPU req | MEM req | MEM actual |
+|-----|---------|---------|------------|
+| ib-gateway | 500m | 1Gi | ~500Mi |
+| api-gateway | 200m | 256Mi | ~200Mi |
+| trading-service | 200m | 256Mi | ~300Mi |
+| broker-gateway | 200m | 256Mi | ~150Mi |
+| backtesting-service | 200m | 256Mi | ~200Mi |
+| trading-agent-service | 200m | 256Mi | ~200Mi |
+| ml-training-service | 200m | 256Mi | ~200Mi |
+| data-acquisition-service | 100m | 256Mi | ~150Mi |
+| web-gateway | 100m | 128Mi | ~100Mi |
+| **Total** | **~1.9G** | **~2.9 GiB** | **~2 GiB** |
+
+Headroom: 1.9 GiB CPU, 3.5 GiB memory — room for trading burst.
+
+## Migration Strategy
+
+Brief downtime acceptable (no live trading). Order matters — databases first, then dependents.
+
+### Phase 1: Create `platform` node pool
+- Scaleway console or Terraform: DEV1-L, min=1, max=1, autoscale=off
+- Wait for node to join cluster and become Ready
+
+### Phase 2: Move stateless monitoring to `platform`
+- Change nodeSelector from `gitlab` to `platform` for: grafana, loki, tempo, kube-state-metrics, tailscale-proxy
+- `kubectl rollout restart` each — they reschedule to the platform node
+- Verify Grafana accessible, Loki ingesting, Tempo receiving traces
+
+### Phase 3: Move stateful infrastructure to `platform`
+For each of postgres, questdb, minio (in this order):
+1. Scale deployment to 0
+2. Take backup (pg_dump for postgres, mc mirror for minio, questdb backup)
+3. Delete old PVC (bound to old services node)
+4. Create new PVC (will bind to platform node)
+5. Restore data to new PVC via a temporary pod
+6. Update deployment nodeSelector to `platform`
+7. Scale back to 1
+8. Verify service healthy
+
+Redis: no persistent data that matters — just change nodeSelector and restart.
+
+### Phase 4: Move foxhunt services
+- Change nodeSelector from `services` to `foxhunt` for all 9 foxhunt deployments
+- Delete binary-cache PVCs (disposable — services re-fetch from S3 on next init)
+- `kubectl rollout restart` all services
+- Verify all pods Running, health checks passing
+
+### Phase 5: Rename/reconfigure services pool
+- Option A: Rename existing `services` pool to `foxhunt` in Scaleway, scale to 1 node
+- Option B: Create new `foxhunt` pool, drain old `services` pool, delete it
+- Delete extra services node (was 2 nodes, now need 1)
+
+### Phase 6: Verify
+- All pods Running on correct nodes
+- Grafana dashboards loading
+- Loki queries working
+- Network policies still enforced
+- GitLab CI pipeline runs successfully
+
+## Network Policies
+
+No changes needed. All network policies use pod label selectors (`app.kubernetes.io/name`,
+`app.kubernetes.io/part-of`), not node selectors. Cross-node pod communication works
+transparently via Kapsule CNI (Cilium).
+
+## PVC Handling
+
+| PVC | Action |
+|-----|--------|
+| postgres-pvc (10Gi) | Migrate: pg_dump → new PVC → pg_restore |
+| questdb-pvc (10Gi) | Migrate: copy data dir via temp pod |
+| minio-data (20Gi) | Migrate: mc mirror to new PVC |
+| grafana (2Gi) | Migrate: copy data dir (dashboards are provisioned, so loss is acceptable) |
+| binary-cache-* (1Gi each, ×8) | Delete and recreate — populated from S3 on pod init |
+| sccache/training PVCs | Unchanged — bound to CI/training pools |
+
+## Risks
+
+| Risk | Likelihood | Impact | Mitigation |
+|------|-----------|--------|------------|
+| PVC data loss | Low | High | pg_dump + mc mirror before any PVC deletion |
+| Pod stuck Pending | Low | Medium | Verify node Ready before migration |
+| Memory pressure on platform | Low | Medium | Tempo is the heaviest at 630Mi — can add limits |
+| Cross-node latency | Negligible | Low | All nodes in same datacenter, <1ms |
+| Scaleway pool creation fails | Low | None | Can abort, everything stays on old nodes |
+
+## Rollback
+
+If anything goes wrong mid-migration:
+- Stateful services: restore from backup to original PVCs
+- Stateless services: revert nodeSelector to `services`
+- Delete the new `platform` pool
+- Everything returns to pre-migration state