coreweave-webhooks-events

name	coreweave-webhooks-events
description	Monitor CoreWeave cluster events and GPU workload status. Use when tracking pod lifecycle events, monitoring GPU utilization, or alerting on inference service health changes. Trigger with phrases like "coreweave events", "coreweave monitoring", "coreweave pod alerts", "coreweave gpu monitoring".
allowed-tools	Read, Write, Edit, Bash(kubectl:*)
version	1.0.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","gpu-cloud","kubernetes","inference","coreweave"]
compatible-with	claude-code

CoreWeave Webhooks & Events

Kubernetes Event Monitoring

# Watch GPU pod events
kubectl get events --watch --field-selector=reason=Scheduled,reason=Pulled,reason=Failed

# Monitor GPU utilization via exec
kubectl exec -it deployment/inference -- nvidia-smi --query-gpu=utilization.gpu,memory.used --format=csv -l 5

Prometheus GPU Metrics

# DCGM exporter for GPU metrics (pre-installed on CKS)
# Key metrics:
# DCGM_FI_DEV_GPU_UTIL - GPU utilization %
# DCGM_FI_DEV_FB_USED - GPU memory used
# DCGM_FI_DEV_POWER_USAGE - Power draw

Slack Alert Integration

import subprocess, json, requests

def check_inference_health(deployment: str, slack_url: str):
    result = subprocess.run(
        ["kubectl", "get", "deployment", deployment, "-o", "json"],
        capture_output=True, text=True,
    )
    deploy = json.loads(result.stdout)
    ready = deploy["status"].get("readyReplicas", 0)
    desired = deploy["spec"]["replicas"]

    if ready < desired:
        requests.post(slack_url, json={
            "text": f"CoreWeave: {deployment} has {ready}/{desired} replicas ready"
        })

Resources

• CoreWeave Observability

Next Steps

For performance optimization, see coreweave-performance-tuning.