Kubernetes Cost Optimization

Optimize the resources and cost at the cluster, node, and workload level.

Cost monitoring dashboard

Your Cloud Bill, Finally Under Control.

DevZero continuously analyzes real-time GPU allocation and usage across your Kubernetes clusters, automatically identifying idle capacity, enforcing policy-driven controls, and reclaiming unused resources. By optimizing at the workload level and integrating with existing autoscalers, it ensures GPUs are efficiently utilized without disrupting active training or inference jobs.

Intelligent Workload Rightsizing

Traditional Kubernetes requires manual resource requests and limits. You overprovision for peak loads, then pay for idle capacity 80% of the time. DevZero fixes this with live rightsizing no pod restarts, no downtime.

How It Works

DevZero uses XGBoost forecasting to predict future resource needs, avoiding inflated baselines for workloads that spike at startup. Optimization modes can be set per cluster, node pool, or workload: Statistical (steady, low-churn adjustments) or Predictive (ML-driven aggressive cost reduction).

Built-In Safety

The platform monitors OOM errors, pod failures, and memory pressure, ensuring stability. Resources scale up during spikes and down when idle instantly.

Live Rightsizing

● Active
api-gateway
59% cost
CPU16c11c
Mem64G22G
ml-serving
78% cost
CPU32c10c
Mem128G32G
event-worker
52% cost
CPU8c7c
Mem32G18G

Projected annual savings

$187,400

No restarts · No downtime

Ready to get started?

How it Works

DevZero continuously analyzes real-time GPU allocation and usage across your Kubernetes clusters, automatically identifying idle capacity, enforcing policy-driven controls, and reclaiming unused resources. By optimizing at the workload level and integrating with existing autoscalers, it ensures GPUs are efficiently utilized without disrupting active training or inference jobs.

3 Simple Steps

Install a read-only operator

Select your cloud provider:

Curl

$ curl -XPOST -H 'Authorization: Bearer ....' \
-H "X-Kube-Context-Name: $(kubectl config current-context)" \
"https://dakr.devzero.io/dakr/installer-manifest?cluster-provider=AWS" \
| kubectl apply -f -

What our Customers say

DevZero slashed cloud costs by 60% in 30 days, — uncovering massive waste in seconds.

Lauren Glass Mullins

Lauren Glass Mullins

personality pool

We started applying DevZero’s recommendations on day 5, and within 24 hours our daily spend dropped by 30%. By day 30, we hit 60% total savings. That’s faster ROI than any other infrastructure investment we’ve made.

Frequently asked Questions

Run a free assessment to identify overprovisioned workloads, idle capacity, and your potential savings, in minutes.

Most clusters are overprovisioned.
Let's prove yours is.