2 min read

Goodbye Node Groups, Hello EKS Auto Mode

Discover how EKS Auto Mode eliminates the need to manage EC2 nodes or node groups. Learn how it compares to Fargate, where it excels, and when not to use it.
Goodbye Node Groups, Hello EKS Auto Mode

EKS Auto Mode: No More Node Management

Say goodbye to node groups, autoscaling headaches, and overprovisioned clusters.

What Is EKS Auto Mode – And Why Should You Care?

Amazon recently introduced EKS Auto Mode, and it’s a game-changer. Imagine spinning up an EKS cluster without touching node groups, EC2 instance types, or worrying about capacity zones.

With Auto Mode, AWS fully manages the worker nodes for you abstracting away the toughest part of running Kubernetes at scale.


How Is It Different From Fargate?

Feature EKS Fargate EKS Auto Mode
Granularity Pod-level Node pool-level
Pricing Per-pod Based on node pools
Use Case Event-driven, short-lived General-purpose apps
Pod Density Limited Higher, more efficient

How It Works

  • AWS provisions and scales nodes automatically
  • You don’t manage EC2 or node groups
  • Optimized for cost, performance, and availability

All you do is apply a nodeSelector:

apiVersion: v1
kind: Pod
metadata:
  name: my-app
spec:
  nodeSelector:
    eks.amazonaws.com/compute-type: auto

Is It Production-Ready?

Yes — and here’s why:

  • Fast autoscaling
  • IAM roles for service accounts
  • Observability via CloudWatch or Prometheus
  • Works with traditional/self-managed nodes in the same cluster

Pricing

EKS Auto Mode is billed per vCPU and memory (GB), by the second.
It often results in better efficiency and lower costs than overprovisioned EC2 node groups.


Use Cases

  • Microservice deployments
  • Prototyping quickly
  • Multi-tenant clusters
  • Workloads that scale up/down frequently

⚠️ Limitations of EKS Auto Mode

While EKS Auto Mode is powerful, it's not a silver bullet:

  • No GPU support (as of now)
  • Not available in all regions
  • ⚠️ Limited customization of AMIs, instance types, or storage
  • ⚠️ No support for daemonsets (e.g., logging or monitoring agents that require node-level access)
  • ⚠️ Pod density and scheduling logic is opaque (less control over bin-packing or affinity rules)

🧪 Recommendation: Use traditional managed node groups for GPU workloads or daemonsets. Use Auto Mode for everything else.


Pro Tips

  • Combine with Karpenter for greater control.
  • Use Pod PriorityClasses to avoid evictions.
  • Enable multi-AZ for higher availability.

TL;DR

If you want to run EKS like it’s 2025 — Auto Mode is the way.
No EC2. No node groups. No wasted capacity.

Just deploy your app. AWS handles the rest.


Further Reading


Want More?

💬 Drop a ⭐ or open an issue if you want:

  • A full hands-on tutorial
  • A Terraform setup
  • Benchmarks vs traditional nodes


Would you like a companion `values.yaml` or Terraform example for Auto Mode as part of the repo or blog?