node(titan-22): remove completed canaries

infrastructure/core/kustomization.yaml

@@ -7,7 +7,6 @@ resources:
   - node-prefer-noschedule-serviceaccount.yaml
   - node-prefer-noschedule-rbac.yaml
   - node-prefer-noschedule-cronjob.yaml
-  - titan-22-return-to-service-job.yaml
   - coredns-custom.yaml
   - coredns-deployment.yaml
   - ntp-sync-daemonset.yaml

infrastructure/core/titan-22-return-to-service-job.yaml

@@ -1,27 +0,0 @@
-# infrastructure/core/titan-22-return-to-service-job.yaml
-apiVersion: batch/v1
-kind: Job
-metadata:
-  name: titan-22-return-to-service-20260822
-  namespace: kube-system
-spec:
-  backoffLimit: 2
-  template:
-    spec:
-      serviceAccountName: node-prefer-noschedule
-      restartPolicy: Never
-      containers:
-        - name: uncordon
-          image: bitnami/kubectl@sha256:554ab88b1858e8424c55de37ad417b16f2a0e65d1607aa0f3fe3ce9b9f10b131
-          command:
-            - /usr/bin/env
-            - bash
-            - -ceu
-            - |
-              kubectl uncordon titan-22
-              kubectl label node titan-22 \
-                atlas.bstein.dev/general-compute=last-resort \
-                --overwrite=true
-              kubectl annotate node titan-22 \
-                atlas.bstein.dev/returned-to-service-at=2026-08-22T19:20:00-05:00 \
-                --overwrite=true

services/maintenance/node-ops/kustomization.yaml

@@ -17,7 +17,6 @@ resources:
   - k3s-agent-restart-daemonset.yaml
   - titan-24-docker-daemonset.yaml
   - titan-22-link-keeper-daemonset.yaml
-  - titan-22-gpu-canary-job.yaml
   - node-image-sweeper-serviceaccount.yaml
   - node-image-sweeper-daemonset.yaml
   - image-sweeper-cronjob.yaml

services/maintenance/node-ops/titan-22-gpu-canary-job.yaml

@@ -1,75 +0,0 @@
-# services/maintenance/node-ops/titan-22-gpu-canary-job.yaml
-apiVersion: batch/v1
-kind: Job
-metadata:
-  name: titan-22-gpu-canary-20260822
-  namespace: maintenance
-spec:
-  backoffLimit: 1
-  template:
-    spec:
-      restartPolicy: Never
-      nodeSelector:
-        kubernetes.io/hostname: titan-22
-      containers:
-        - name: cuda-canary
-          image: docker.io/nvidia/cuda@sha256:da6791294b0b04d7e65d87b7451d6f2390b4d36225ab0701ee7dfec5769829f5
-          imagePullPolicy: IfNotPresent
-          command:
-            - /bin/bash
-            - -ceu
-            - |
-              cat >/tmp/titan_22_gpu_canary.cu <<'CUDA'
-              #include <cuda_runtime.h>
-              #include <stdio.h>
-
-              __global__ void fill(float *values, int count) {
-                int index = blockIdx.x * blockDim.x + threadIdx.x;
-                if (index < count) {
-                  values[index] = 22.0f;
-                }
-              }
-
-              int main(void) {
-                int devices = 0;
-                cudaError_t result = cudaGetDeviceCount(&devices);
-                if (result != cudaSuccess || devices < 1) {
-                  fprintf(stderr, "cudaGetDeviceCount failed: %s\n", cudaGetErrorString(result));
-                  return 1;
-                }
-
-                const int count = 16 * 1024 * 1024;
-                float *values = NULL;
-                result = cudaMalloc(&values, count * sizeof(float));
-                if (result != cudaSuccess) {
-                  fprintf(stderr, "cudaMalloc failed: %s\n", cudaGetErrorString(result));
-                  return 1;
-                }
-
-                fill<<<(count + 255) / 256, 256>>>(values, count);
-                result = cudaDeviceSynchronize();
-                if (result != cudaSuccess) {
-                  fprintf(stderr, "GPU kernel failed: %s\n", cudaGetErrorString(result));
-                  cudaFree(values);
-                  return 1;
-                }
-
-                float last = 0.0f;
-                result = cudaMemcpy(&last, values + count - 1, sizeof(float), cudaMemcpyDeviceToHost);
-                cudaFree(values);
-                if (result != cudaSuccess || last != 22.0f) {
-                  fprintf(stderr, "GPU verification failed: %s value=%f\n", cudaGetErrorString(result), last);
-                  return 1;
-                }
-
-                printf("CUDA canary passed: devices=%d value=%.1f\n", devices, last);
-                return 0;
-              }
-              CUDA
-              nvcc -O2 /tmp/titan_22_gpu_canary.cu -o /tmp/titan_22_gpu_canary
-              /tmp/titan_22_gpu_canary
-          resources:
-            limits:
-              nvidia.com/gpu.shared: "1"
-            requests:
-              nvidia.com/gpu.shared: "1"