Eliminating Wasted Compute in the Cloud
Over-provisioning Kubernetes clusters is one of the biggest drivers of runaway cloud bills. Most production clusters operate at less than 20% average CPU utilization due to static pod resource requests and conservative node allocations.
"Right-sizing workloads and pairing Karpenter with spot instances allows engineering teams to slash cloud infrastructure spend without compromising availability."
Key Cost-Optimization Practices
- Karpenter Intelligent Provisioning: Replacing standard cluster auto-scalers with Karpenter to rapidly spin up exact-fit spot instances based on pending pod requirements.
- Vertical Pod Autoscaler (VPA): Continuously observing real-time memory and CPU consumption to fine-tune resource requests dynamically.
- Ephemeral Environments for PRs: Automatically provisioning and tearing down preview environments on pull requests using lightweight Helm charts.