Full visibility into your Kubernetes costs, workload-aware rightsizing, GPU optimization, and continuous automation, so your infrastructure runs leaner without sacrificing performance.
Track, attribute, and optimize Kubernetes spend across every cluster and cloud provider from one place. No more jumping between billing consoles or stitching together spreadsheets, DevZero gives you a clear, real-time picture of where your money is going and exactly where you can cut back.
DevZero models workload behavior over time, anticipating scaling needs before they cause performance degradation. Every scaling action factors in cost impact, prioritizing efficiency without compromising workload requirements.
Real-time analysis of workload patterns identifies upcoming capacity needs. DevZero automatically adjusts resources based on historical behavior and current trends, eliminating reactive over-provisioning.
Every scaling action is evaluated for cost impact before execution. Smart policies automatically downscale non-critical workloads during off-peak hours and avoid expensive burst scaling when possible.
Continuous monitoring ensures resource allocation matches actual demand patterns, preventing performance degradation while maintaining cost efficiency.
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Measurable savings. Production-proven. No performance trade-offs.
Cybersecurity platform, without impacting detection SLAs
AI/ML platform, optimizing model training infrastructure
GPU compute cluster, reducing waste on shared workloads
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
Select your cloud provider:
$ 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 -
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.”
Run a free assessment to identify overprovisioned workloads, idle capacity, and your potential savings, in minutes.