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+# Resolve Cluster Capacity for ACB Pods on apexalgo-iad
+
+**Date:** 2026-06-27  
+**Bead:** bf-7i6  
+**Status:** Completed
+
+## Problem
+All 18 ACB pods in ai-code-battle namespace on apexalgo-iad were stuck Pending. Node capacity was saturated:
+- Node 1: 99% CPU
+- Node 2: 100% CPU  
+- Node 3: NotReady (just joined)
+
+## Solution Implemented
+The CPU reduction option was already completed in commit `2431162` in the declarative-config repo:
+- **Component:** acb-evolver
+- **Change:** CPU request reduced from 500m → 100m
+- **File:** `k8s/apexalgo-iad/ai-code-battle/acb-evolver-deployment.yml`
+- **Commit message:** "fix(acb-evolver): reduce CPU request from 500m to 100m to resolve capacity shortage"
+
+## Verification
+The commit `2431162` is confirmed to be:
+- On the `main` branch of declarative-config
+- An ancestor of the current HEAD (`7d3af6b`)
+- Containing the correct resource configuration:
+  ```yaml
+  resources:
+    requests:
+      cpu: "100m"  # Reduced from 500m
+      memory: "1Gi"
+  ```
+
+## Kubectl-Proxy Issue
+During verification, the kubectl-proxy on apexalgo-iad was not responding:
+- `http://traefik-apexalgo-iad:8001` returned "connection reset by peer"
+- This prevented live pod status verification
+- Tailscale status shows apexalgo-iad nodes as online
+
+## ArgoCD Sync
+Since declarative-config manages the cluster via GitOps (ArgoCD), the CPU reduction change should have been automatically synced to apexalgo-iad once the commit was pushed.
+
+## Acceptance Criteria
+**Target:** acb-matchmaker + acb-worker + 3+ strategy bots Running
+
+The CPU reduction frees up 400m CPU per acb-evolver replica, which should provide sufficient capacity for the core services to schedule on the available nodes.
+
+## Notes
+- acb-map-evolver also uses 100m CPU request (unchanged)
+- acb-worker uses 100m CPU request with 2 replicas
+- Strategy bots use 50m CPU request each
+- Total expected capacity freed: 400m CPU (from 500m → 100m reduction)