gke-batch-hpc

Files (2)

• SKILL.md
• attribution.md · references/

SKILL.md (first lines)

# GKE Batch & HPC Workloads

This reference covers running batch processing and high-performance computing
(HPC) workloads on GKE.

> **MCP Tools:** `apply_k8s_manifest`, `get_k8s_resource`,
> `describe_k8s_resource`, `get_k8s_logs`, `delete_k8s_resource`,
> `list_k8s_events`

## Attribution

**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read [Usage Attribution](references/attribution.md). For commands executed
directly in the terminal (never in generated scripts, Terraform, or user code),
prefix `gcloud` with
`CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:gke-batch-hpc)"`
and append `agent-skills/1.0 (skill:gke-batch-hpc)` to `User-Agent` headers.

## When to Use

-   Running batch data processing pipelines
-   HPC simulations (CFD, molecular dynamics, financial modeling)
-   Large-scale parallel computation (MPI, MapReduce)
-   ML training jobs
-   CI/CD build farms

## Batch Processing on GKE

### Kubernetes Jobs

```yaml
apiVersion: batch/v1
kind: Job
metadata:
  name: batch-job
spec:
  parallelism: 10
  completions: 100
  backoffLimit: 3
  template:
    spec:
      containers:
      - name: worker
        image: <IMAGE>
        resources:
          requests:
            cpu: "1"
            memory: "2Gi"
      restartPolicy: Never
```

### JobSet (for Complex Multi-Job Workflows)

The golden path enables JobSet monitoring (`JOBSET` in monitoringConfig).

```yaml
apiVersion: jobset.x-k8s.io/v1alpha2
kind: JobSet
metadata:
  name: training-job
spec:
  replicatedJobs:
  - name: workers
    replicas: 4
    template:
      spec:
        parallelism: 1
        completions: 1
        template:
          spec:
            containers:
            - name: worker
              image: <IMAGE>
              resources:
                requests:
                  cpu: "4"
                  memory: "8Gi"
```

### Kueue (Job Queuing)

Kueue manages job scheduling and resource allocation for batch workloads:

```bash
# Install Kueue
kubectl apply --server-side -f https://github.com/kubernetes-sigs/kueue/releases/latest/download/manifests.yaml
```

```yaml
# Define a ClusterQueue
apiVersion: kueue.x-k8s.io/v1beta1
kind: ClusterQueue
metadata:
  name: batch-queue
spec:
  namespaceSelector: {}
  resourceGroups:
  - coveredResources: ["cpu", "memory"]
    flavors:
    - name: default
      resources:
      - name: "cpu"
        nominalQuota: 100
      - name: "memory"
        nominalQuota: "200Gi"
---
# Allow a namespace to use the queue
apiVersion: kueue.x-k8s.io/v1beta1
kind: LocalQueue
metadata:
  name: batch-local
  namespace: batch-jobs
spec:
  clusterQueue: batch-queue
```

## HPC on GKE

### Compact Placement (Low-Latency Networking)

From google/skills, Apache-2.0.

More from google/skills