Skills Engineering CAST AI Production Readiness Checklist

CAST AI Production Readiness Checklist

v20260423
castai-prod-checklist
A comprehensive, multi-phase checklist for deploying and validating CAST AI cost optimization and autoscaling features on a production Kubernetes cluster. It guides users through prerequisites, initial monitoring setup (Phase 1), full autoscaling enablement (Phase 2), security hardening (RBAC, secrets), and critical validation commands for safe go-live deployment.
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Overview

CAST AI Production Checklist

Overview

Complete checklist for enabling CAST AI cost optimization on a production Kubernetes cluster. Covers Phase 1 (monitoring) through Phase 2 (full automation) with validation steps at each stage.

Prerequisites

  • CAST AI tested on a staging cluster first
  • Production API key (Full Access)
  • Change management approval for node lifecycle changes

Phase 1: Monitoring Only

  • Agent installed with read-only key
  • Agent pod healthy: kubectl get pods -n castai-agent
  • Console shows cluster as "Connected"
  • Savings report generating (wait 24h for full data)
  • Review savings estimate before enabling automation

Phase 2: Autoscaling Enabled

  • Full Access API key provisioned and stored in secrets manager
  • Cluster controller installed
  • Evictor installed with conservative settings (non-aggressive)
  • Spot handler installed for graceful interruption handling
  • Autoscaler policies configured with appropriate limits:
    • clusterLimits.cpu.maxCores set to safe ceiling
    • unschedulablePods.headroom configured (10-15%)
    • nodeDownscaler.emptyNodes.delaySeconds >= 300 for production
    • spotInstances.spotDiversityEnabled = true
  • Node templates created for workload-specific needs (GPU, high-memory)
  • PodDisruptionBudgets set on all critical workloads

Workload Autoscaler

  • Workload autoscaler installed
  • Critical deployments annotated with min/max resource bounds
  • Anti-shrink cooldown set (300s minimum)
  • Memory headroom >= 20% for production workloads

Security

  • API key in secrets manager (not Helm values files)
  • Kvisor security agent installed
  • Network policies applied to castai-agent namespace
  • RBAC reviewed and minimized
  • Key rotation scheduled (90-day interval)

Monitoring and Alerting

  • Alert on agent pod restarts: kube_pod_container_status_restarts_total{namespace="castai-agent"}
  • Alert on API errors in agent logs
  • CAST AI console email notifications enabled
  • Savings report reviewed weekly
  • Dashboard tracking spot vs on-demand node ratio

Rollback Procedure

# Disable autoscaling immediately (keeps agent monitoring)
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": false}'

# Or remove all CAST AI components
helm uninstall castai-evictor -n castai-agent
helm uninstall cluster-controller -n castai-agent
# Keep the agent for monitoring if desired

Validation Commands

# Final pre-go-live verification
echo "=== CAST AI Production Validation ==="

# Agent healthy
kubectl get pods -n castai-agent -o wide

# All components running
helm list -n castai-agent

# Policies correct
curl -s -H "X-API-Key: ${CASTAI_API_KEY}" \
  "https://api.cast.ai/v1/kubernetes/clusters/${CASTAI_CLUSTER_ID}/policies" \
  | jq '{enabled, unschedulablePods: .unschedulablePods.enabled, downscaler: .nodeDownscaler.enabled, spot: .spotInstances.enabled}'

# Savings estimate
curl -s -H "X-API-Key: ${CASTAI_API_KEY}" \
  "https://api.cast.ai/v1/kubernetes/clusters/${CASTAI_CLUSTER_ID}/savings" \
  | jq '{monthly: .monthlySavings, percent: .savingsPercentage}'

Resources

Next Steps

For version upgrades, see castai-upgrade-migration.

Info
Category Engineering
Name castai-prod-checklist
Version v20260423
Size 4.04KB
Updated At 2026-04-28
Language