Cluster Resource Health

Cluster Resource Health

Query AWS EKS clusters for node health, pod status, resource utilization, and alerts to produce a cluster health dashboard.

Instructions

Phase 1: Cluster Overview (AWS Agent)

1. List EKS clusters and their status:
   • Cluster name, version, and status
   • Node group configurations (instance types, desired/min/max counts)
   • Current node count and readiness
2. Check Kubernetes version:
   • Current version vs. latest available
   • End-of-support date for current version

Phase 2: Node Health

1. Inspect node conditions using kubectl via the AWS agent:
   • Ready, MemoryPressure, DiskPressure, PIDPressure, NetworkUnavailable
   • Node allocatable vs. requested resources
   • Unschedulable nodes (cordoned/drained)
2. Resource utilization per node:
   • CPU requested vs. allocatable (%)
   • Memory requested vs. allocatable (%)
   • Pod count vs. pod limit

Phase 3: Pod Health

1. Identify problematic pods:
   • CrashLoopBackOff, ImagePullBackOff, OOMKilled
   • Pending pods (unable to schedule)
   • Pods with high restart counts (>5)
   • Evicted pods
2. Namespace-level summary:
   • Pods running, pending, failed per namespace
   • Resource quotas and limit ranges

Phase 4: Resource Capacity Analysis

1. Cluster-wide utilization:
   • Total CPU requested vs. total allocatable
   • Total memory requested vs. total allocatable
   • Headroom for new workloads
2. Capacity risks:
   • Nodes at >80% resource utilization
   • Namespaces exceeding resource quotas
   • PersistentVolume claims pending or near capacity

Output Format

## Cluster Resource Health Report
**Generated**: February 9, 2026

### Cluster Summary
| Cluster | Version | Nodes | Status | Overall Health |
|---------|---------|-------|--------|----------------|
| prod-us-west-2 | 1.29 | 12/12 Ready | Active | HEALTHY |
| staging-us-west-2 | 1.28 | 4/4 Ready | Active | WARNING |

### Resource Utilization (prod-us-west-2)
| Resource | Requested | Allocatable | Utilization |
|----------|-----------|-------------|-------------|
| CPU | 38 cores | 48 cores | 79% |
| Memory | 96 Gi | 128 Gi | 75% |
| Pods | 187 | 440 | 43% |

**Headroom**: Can schedule ~10 more standard pods (1 CPU, 2Gi each)

### Problematic Pods
| Pod | Namespace | Status | Restarts | Node |
|-----|-----------|--------|----------|------|
| payment-api-7d4b8c | production | CrashLoopBackOff | 23 | node-3 |
| data-pipeline-abc | batch | OOMKilled | 5 | node-7 |
| image-proc-xyz | processing | ImagePullBackOff | 0 | node-2 |

### Node Health
| Node | Status | CPU Req% | Mem Req% | Pods | Conditions |
|------|--------|----------|----------|------|------------|
| node-1 | Ready | 82% | 71% | 18 | OK |
| node-7 | Ready | 91% | 88% | 22 | MemoryPressure |

### Capacity Risks
1. **HIGH**: node-7 at 91% CPU / 88% memory - consider scaling node group
2. **MEDIUM**: staging cluster on EKS 1.28 - EOL in 60 days, plan upgrade
3. **LOW**: 3 PVCs at >80% capacity in `data` namespace

### Recommendations
1. **Immediate**: Investigate payment-api CrashLoopBackOff (23 restarts)
2. **Short-term**: Scale prod node group from 12 to 14 nodes (headroom at 79%)
3. **Planned**: Upgrade staging cluster from EKS 1.28 to 1.29
4. **Optimization**: Right-size data-pipeline pods (OOMKilled - increase memory limit)

Examples

• "Check the health of our EKS clusters"
• "Are there any failing pods in production?"
• "Show me cluster resource utilization"
• "Which nodes are under memory pressure?"
• "Do we have enough capacity for a new deployment?"

Guidelines

• Check all clusters unless a specific cluster is requested
• Flag any node above 85% resource utilization as a capacity risk
• For CrashLoopBackOff pods, suggest checking logs as the immediate action
• EKS version end-of-support should be flagged at least 90 days before EOL
• Group pods by issue type (crash, OOM, image pull) for easier triage
• Include pod restart counts - high restarts indicate chronic issues even if currently running
• When capacity is tight, recommend specific scaling actions (node count, instance type)
• Use kubectl read-only commands only (never modify cluster state during health checks)

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