4.8 KiB
BF-22VC5 Current Status - 2026-06-04
Task
Deploy P0: build acb-enrichment Docker image and re-enable deployment (apexalgo-iad)
Status: CODE COMPLETE - INFRASTRUCTURE BLOCKED
Summary
✅ Code Requirements: COMPLETE
All code-level requirements for the task have been verified and are ready:
-
Enrichment Service Source - Located at
cmd/acb-enrichment/main.go,service.go,config.go- Valid Go code- Internal package structure intact
-
Dockerfile - Multi-stage Go build at
cmd/acb-enrichment/Dockerfile- Build stage:
golang:1.24-alpine - Runtime stage:
alpine:3.19with ca-certificates and tzdata - Non-root user (
acb:1000) - Correctly copies engine, metrics, and enrichment source
- Build stage:
-
Deployment Manifest -
k8s/apexalgo-iad/ai-code-battle/acb-enrichment-deployment.yml- Image:
forgejo.ardenone.com/ai-code-battle/acb-enrichment:sha-97b4b0f(real SHA, not placeholder) - Replicas: 1 (deployment is enabled)
- ArgoCD image-updater annotations configured
- Image:
-
CI WorkflowTemplate -
k8s/iad-ci/argo-workflows/acb-enrichment-build-workflowtemplate.yml- Kaniko-based build
- Pushes to Forgejo registry
- Tagged with commit SHA
❌ Infrastructure Blocker
PRIMARY BLOCKER: Forgejo Registry Down
Forgejo Pod Status (apexalgo-iad)
NAMESPACE NAME READY STATUS AGE
forgejo forgejo-785c7dff4b-r5fbr 0/2 Pending 165m
forgejo forgejo-runner-6b4d65b6cf-6bsxn 0/2 Pending 53m
forgejo forgejo-runner-6b4d65b6cf-cp7sr 0/2 Pending 4h41m
forgejo forgejo-runner-6b4d65b6cf-ln76m 0/2 Pending 6h34m
Scheduler Failure: 0/3 nodes are available: 3 Insufficient cpu
acb-enrichment Pod Status
NAMESPACE NAME READY STATUS AGE
ai-code-battle acb-enrichment-777748bdb7-9d2rf 0/1 ImagePullBackOff 32m
ai-code-battle acb-enrichment-7d6d985488-jsxn9 0/1 Pending 11m
Pull Error: unexpected status from HEAD request to https://forgejo.ardenone.com/v2/...: 503 Service Unavailable
Image Being Pulled: forgejo.ardenone.com/ai-code-battle/acb-enrichment:sha-8f1dcc4
Note: The deployment manifest has sha-97b4b0f but the pod is trying to pull an old SHA sha-8f1dcc4 from a previous ReplicaSet. This is expected behavior during rolling updates when the new image cannot be pulled.
Node Resource Utilization
NAME CPU(cores) CPU% MEMORY(bytes) MEMORY%
prod-instance-17766512380750059 989m 28% 11620Mi 40%
prod-instance-17766512418020061 1425m 40% 20892Mi 72%
prod-instance-17781842321795040 335m 9% 3177Mi 10%
Additional Finding: 20+ pods have been Pending for 40-87 days across the cluster (mission-control, yugabyte, kalshi-weather-build, etc.).
What Needs to Happen (Infrastructure Team)
-
Free CPU capacity on apexalgo-iad cluster
- Scale down non-essential workloads
- OR add additional nodes
-
Restart Forgejo pods once CPU is available
kubectl delete pod forgejo-785c7dff4b-r5fbr -n forgejo- Delete stuck runner pods
-
Verify image exists in Forgejo registry after it's back online
- Check if
sha-97b4b0fexists - If not, trigger
acb-enrichment-buildworkflow on iad-ci cluster
- Check if
-
Re-sync ArgoCD app
ai-code-battle-ns-apexalgo-iadafter registry is healthy
Files Verified
/home/coding/ai-code-battle/cmd/acb-enrichment/Dockerfile✅/home/coding/ai-code-battle/cmd/acb-enrichment/main.go✅/home/coding/ai-code-battle/manifests/acb-enrichment-deployment.yml✅/home/coding/declarative-config/k8s/apexalgo-iad/ai-code-battle/acb-enrichment-deployment.yml✅/home/coding/declarative-config/k8s/iad-ci/argo-workflows/acb-enrichment-build-workflowtemplate.yml✅/home/coding/declarative-config/k8s/iad-ci/argo-workflows/acb-images-build-workflowtemplate.yml✅
Retrospective
- What worked: Systematic verification confirmed all code requirements are met
- What didn't: Infrastructure blocker prevents any deployment progress
- Surprise: Cluster has 20+ pods Pending for 40+ days - systemic resource exhaustion
- Reusable pattern: Always check infrastructure health (registry, node capacity) before assuming code/configuration issues
Conclusion
CODE REQUIREMENTS: COMPLETE ✅ INFRASTRUCTURE: BLOCKED ❌
The development task is complete. All code, Dockerfile, and manifests are ready for deployment. Deployment requires infrastructure intervention to:
- Free CPU capacity on apexalgo-iad cluster
- Restart Forgejo registry pods
- Verify/trigger image build if needed
Generated: 2026-06-04 08:40 UTC