> KUBERNETES
Google Kubernetes Engine (GKE) Autopilot Workload Architecture
Hands-off Google Kubernetes Engine cluster where Google manages node infrastructure, billing only for requested pod resources with automated bin-packing.
Mathematical Breakeven Inflection Curve
Cost-optimal for teams without dedicated Kubernetes SRE teams. For teams with SRE capacity, standard GKE with Spot GCE instances is 25% cheaper.
3 Maturity Tiers & Infrastructure Specifications
Component stack and cost steps from prototype to hyper-scale enterprise
1. Prototype / Early Stage5 - 20 pods
$120 - $350 / mo
$0.022 / pod-hour
Stack Components:
- GKE Autopilot
- Cloud SQL PostgreSQL
- Google Cloud Storage
Cost Allocation:GCP Namespace Labels
Autoscaling:GKE Autopilot Workload Autoscaler
2. Scaled Production30 - 150 pods
$600 - $2,900 / mo
$0.016 / pod-hour
Stack Components:
- GKE Autopilot (Spot Pods enabled)
- Cloud SQL HA with Read Pool
- Google Cloud Armor
Cost Allocation:GKE Cost Allocation in Cloud Billing
Autoscaling:Horizontal Pod Autoscaler (HPA) + VPA
3. High-Throughput Enterprise200 - 1,200 pods
$2,900 - $16,000 / mo
$0.013 / pod-hour
Stack Components:
- GKE Autopilot Multi-Region
- Cloud Spanner
- GKE Gateway API + Cloud CDN
Cost Allocation:BigQuery Cost Export with GKE Workload breakdown
Autoscaling:Custom Metrics Autoscaler
Key Cost Drivers
- •Pod vCPU-hours and RAM-GiB hours billed directly
- •Egress traffic beyond GCP zones
- •Persistent Disk volume storage
Waste Vulnerabilities
- •Requesting 2 GiB memory for single-threaded Node.js scripts
- •Leaving dev namespaces running unthrottled over weekends
Mitigation Playbooks
- •Enable GKE Autopilot Spot Pods (60-91% savings)
- •Use kube-downscaler to suspend non-prod pods at night