Cloud & Kubernetes Optimization

Stop Subsidizing Idle Cloud Capacity

Most production clusters run at less than 15% efficiency. We audit resource requests, configure automated Karpenter node pools, and restructure VPC networks to cut cloud bills by 30% to 60%.

Request an Infrastructure Cost Audit

Where Cloud Budgets Are Wasted

Companies scale by buying larger servers. Without proper resource profiling and orchestration, this results in significant cloud waste:

  • Oversized Node Groups: Development teams configure high CPU/Memory requests to handle "worst case" spikes, meaning instances run idle 95% of the day.
  • Hidden Networking Fees: Routing massive database traffic or internal object requests through VPC NAT Gateways instead of direct Private Endpoints.
  • Manual Drift & Errors: Fragmented deployment templates causing configuration drift and midnight outages.

Our Cost & Reliability Playbook

1. Karpenter & Auto-Scaling Implementation

We replace legacy Cluster Autoscalers with Karpenter to evaluate resource requests and provision optimal, mixed-instance node groups. This enables scaling node pools in under 60 seconds.

2. De-Risking Spot Instances

We configure Node Termination Handlers and tune JVM shutdown flags to allow stateless microservices to run on spot instances (up to 90% cheaper) with zero service disruption.

3. GitOps & Declarative IaC

We standardize deployments using Helm, Terraform, and ArgoCD. Every infrastructure state change is logged in Git, eliminating manual drift and easing compliance.

Infrastructure ROI

30%-60%
Typical Monthly Cloud Savings
< 60s
Time to Scale Node Pools
100%
GitOps State Tracking

Key Technologies

AWS EKS Karpenter Terraform ArgoCD Prometheus VPC Endpoints