From castai-pack
Optimizes Kubernetes costs using CAST AI APIs for spot instance strategies, workload right-sizing, savings analysis, and policy configuration.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin castai-packThis skill is limited to using the following tools:
Maximize Kubernetes cost savings through CAST AI: spot instance strategies, workload right-sizing, cluster hibernation, and savings tracking. Typical savings: 50-70% on cloud compute costs.
Implements Kubernetes cloud cost optimization using Kubecost for visibility, right-sizing, HPA/VPA autoscaling, spot instances, and resource quotas. Use for over-provisioning, misaligned resources, or cost allocation.
Queries CAST AI API for Kubernetes cluster savings, node inventory, and policies via curl. Verifies connectivity and cost optimization after onboarding.
Optimizes cloud infrastructure costs through resource rightsizing, reserved instances, spot instances, and waste reduction. Provides AWS cost analysis scripts and Kubernetes guides.
Share bugs, ideas, or general feedback.
Maximize Kubernetes cost savings through CAST AI: spot instance strategies, workload right-sizing, cluster hibernation, and savings tracking. Typical savings: 50-70% on cloud compute costs.
# Get savings breakdown
curl -s -H "X-API-Key: ${CASTAI_API_KEY}" \
"https://api.cast.ai/v1/kubernetes/clusters/${CASTAI_CLUSTER_ID}/savings" \
| jq '{
currentMonthlyCost: .currentMonthlyCost,
optimizedMonthlyCost: .optimizedMonthlyCost,
monthlySavings: .monthlySavings,
savingsPercentage: .savingsPercentage,
spotSavings: .spotSavings,
rightSizingSavings: .rightSizingSavings
}'
# Enable aggressive spot with diversity and fallbacks
curl -X PUT -H "X-API-Key: ${CASTAI_API_KEY}" \
-H "Content-Type: application/json" \
"https://api.cast.ai/v1/kubernetes/clusters/${CASTAI_CLUSTER_ID}/policies" \
-d '{
"enabled": true,
"spotInstances": {
"enabled": true,
"clouds": ["aws"],
"spotDiversityEnabled": true,
"spotDiversityPriceIncreaseLimitPercent": 20,
"spotBackups": {
"enabled": true,
"spotBackupRestoreRateSeconds": 600
}
}
}'
Spot allocation strategy by workload tier:
| Workload Type | Spot % | Rationale |
|---|---|---|
| Batch jobs, CI runners | 100% spot | Interruptible, restartable |
| Stateless APIs (behind LB) | 80% spot | Can handle brief interruptions |
| Stateful services, databases | 0% spot | Use on-demand or reserved |
| ML training | 80-100% spot | Checkpointing handles interrupts |
# Get resource waste analysis
curl -s -H "X-API-Key: ${CASTAI_API_KEY}" \
"https://api.cast.ai/v1/workload-autoscaling/clusters/${CASTAI_CLUSTER_ID}/workloads" \
| jq '[.items[] | select(.estimatedSavingsPercent > 20) | {
name: .workloadName,
namespace: .namespace,
wastedCpu: (.currentCpuRequest - .recommendedCpuRequest),
wastedMemory: (.currentMemoryRequest - .recommendedMemoryRequest),
savingsPercent: .estimatedSavingsPercent
}] | sort_by(-.savingsPercent) | .[0:10]'
# Hibernate non-production clusters during off-hours
# Scales nodes to zero, resume on demand
# Enable hibernation
curl -X POST -H "X-API-Key: ${CASTAI_API_KEY}" \
-H "Content-Type: application/json" \
"https://api.cast.ai/v1/kubernetes/clusters/${CASTAI_CLUSTER_ID}/hibernate" \
-d '{
"schedule": {
"enabled": true,
"hibernateAt": "20:00",
"wakeUpAt": "08:00",
"timezone": "America/New_York",
"weekdaysOnly": true
}
}'
interface CostReport {
cluster: string;
period: string;
currentCost: number;
optimizedCost: number;
savings: number;
spotPercent: number;
}
async function generateMonthlyCostReport(
clusterIds: string[]
): Promise<CostReport[]> {
const reports: CostReport[] = [];
for (const clusterId of clusterIds) {
const [cluster, savings, nodes] = await Promise.all([
castaiGet(`/v1/kubernetes/external-clusters/${clusterId}`),
castaiGet(`/v1/kubernetes/clusters/${clusterId}/savings`),
castaiGet(`/v1/kubernetes/external-clusters/${clusterId}/nodes`),
]);
const spotNodes = nodes.items.filter(
(n: { lifecycle: string }) => n.lifecycle === "spot"
).length;
reports.push({
cluster: cluster.name,
period: new Date().toISOString().slice(0, 7),
currentCost: savings.currentMonthlyCost,
optimizedCost: savings.optimizedMonthlyCost,
savings: savings.monthlySavings,
spotPercent:
nodes.items.length > 0
? (spotNodes / nodes.items.length) * 100
: 0,
});
}
return reports;
}
| Issue | Cause | Solution |
|---|---|---|
| Savings lower than expected | Too many on-demand constraints | Relax node template constraints |
| Spot interruptions too frequent | Single instance type | Enable spot diversity |
| Hibernation not triggering | Schedule timezone wrong | Use IANA timezone format |
| Right-sizing too aggressive | Low headroom | Increase memory headroom to 20% |
For architecture patterns, see castai-reference-architecture.