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CAST AI

CAST AI

AI-driven Kubernetes automation platform that autonomously manages cluster infrastructure. Continuously analyzes workload patterns to drive intelligent bin-packing, node rightsizing, and spot instance orchestration with automatic on-demand fallback. Zero-downtime live migration moves stateful workloads between nodes for rebalancing. Replaces Cluster Autoscaler with ML-based provisioning decisions — takes infrastructure actions, not just recommendations.

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Last reviewedMay 15, 2026
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Overview

CAST AI is a Kubernetes automation platform that replaces the default Cluster Autoscaler with an ML-driven provisioner that actively manages node selection, instance types, and spot capacity. Rather than only adding nodes when pods are pending, CAST AI continuously rebalances the cluster: live-migrating pods between nodes, switching instance families as pricing shifts, and placing workloads on spot with sub-minute on-demand fallback when interruption signals arrive.

Write access to the cloud account is required for autonomous actions. A monitoring-only mode provides cost visibility and recommendations without executing changes.

Supported clouds: AWS, GCP, and Azure. Free tier: monitoring and recommendations only. Growth and Enterprise tiers enable autonomous actions; pricing not publicly listed.

Key Features

  • ML-driven node provisioner: replaces Cluster Autoscaler with active bin-packing, instance-type selection, and spot migration — takes provisioning actions rather than waiting for pending pods to trigger scaling
  • Live migration: moves stateful and stateless pods between nodes without downtime during cluster rebalancing, enabling continuous optimization without service disruption
  • Spot management with interruption prediction: places workloads on spot capacity and monitors pool signals for impending reclamation, migrating to on-demand within approximately 60 seconds
  • Cost analytics: calculates per-namespace, per-workload, and per-node cost attribution with CPU and memory rightsizing recommendations based on actual utilization patterns
  • Monitoring-only mode: provides cost visibility, savings projections, and rightsizing recommendations without cloud write access — a staged adoption path before enabling autonomous actions
  • EKS, GKE, AKS, and self-managed Kubernetes support on AWS, GCP, and Azure; Terraform provider available for cluster configuration

Integrations

8 total
ci / cd
TerraformHelm
cloud
AWSGCPAzure
orchestration
Kubernetes
monitoring
DatadogPrometheus

Pricing

3 tiers
Free (Monitor)
Free

Free tier: Unlimited clusters, cost monitoring only — no optimization actions

⚠ Price last verified Apr 2026 — confirm on vendor site ↗

Growth
—

$1,000/month + $5/CPU/month for full autonomous optimization

⚠ Price last verified Apr 2026 — confirm on vendor site ↗

Enterprise
Contact sales

Custom quote

⚠ Price last verified Apr 2026 — confirm on vendor site ↗

Compare with similar tools

2 comparisons

Compliance

0 / 6 attested
SOC 2
HIPAA
GDPR
FedRAMP
PCI DSS
ISO 27001

No compliance attestations on file. Confirm directly with the vendor before procurement.

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