Join us

How I Cut AWS Compute Costs by 70% with a Multi-Arch EKS Cluster and Karpenter

How I Cut AWS Compute Costs by 70% with a Multi-Arch EKS Cluster and Karpenter

Swapping out Kubernetes Cluster Autoscaler for Karpenter cut node launch times to under 20 seconds and dropped compute bills by 70%. The secret sauce? Smarter, faster spot instance scaling.

Bonus perks: architecture-aware scheduling for multi-CPU (ARM64/x86) workloads—more performance, better utilization. It even cleaned up IAM by leaning on OIDC and IRSA.

System shift: Karpenter and friends are rewriting infra playbooks. Static node groups are out. Dynamic, workload-first scaling is in.


Let's keep in touch!

Stay updated with my latest posts and news. I share insights, updates, and exclusive content.

Unsubscribe anytime. By subscribing, you share your email with @faun and accept our Terms & Privacy.

Give a Pawfive to this post!


Only registered users can post comments. Please, login or signup.

Start writing about what excites you in tech — connect with developers, grow your voice, and get rewarded.

Join other developers and claim your FAUN.dev() account now!

Avatar

The FAUN

@faun
A worldwide community of developers and DevOps enthusiasts!
Developer Influence
3k

Influence

302k

Total Hits

3712

Posts