“We were essentially able to reduce the cost of that cluster by about 75%. On AWS, DevZero demonstrated they could achieve significantly higher savings than we initially thought possible.”
Mihir Nair
Head of Architecture, Databahn
Kubernetes runs your infrastructure
DevZero makes it governable
Bring cost control, workload visibility, and operational structure to your Kubernetes fleet, at scale.
Companies who slashed their Kubernetes
spend using DevZero
One view across yourentire Kubernetes fleet
DevZero connects to all your clusters across clouds, regions, and providers and surfaces a unified cost and utilization view. Instead of context-switching between AWS Cost Explorer, GKE billing, and Azure Cost Management, you see your entire fleet in one place: aggregated cost data, per-cluster and cross-cluster drill-down, and consistent rightsizing policies applied fleet-wide with a single operator install per cluster.
Stop managingclusters one at a time
Platform teams running microservices, staging environments, and regional deployments end up with cluster sprawl. DevZero treats your fleet as a single managed surface where policies propagate once set, anomalies surface across all clusters simultaneously, and you can connect EKS, GKE, AKS, OKE, OpenShift, and on-prem clusters in the same workspace with consistent namespace and team ownership policies, cross-cluster cost comparison, and fleet-wide alerting.
Multi-cloud supportwithout the multi-cloud tax
DevZero installs as a lightweight read-only Kubernetes operator via Helm and works the same way regardless of where your cluster runs. The rightsizing engine, cost models, and governance layer behave identically across AWS EKS, GCP GKE, Azure AKS, Oracle OKE, OpenShift, and bare-metal Kubernetes. Cloud-specific features like Karpenter on EKS are used where available and skipped where they aren't, with no proprietary APIs or cloud-specific instrumentation required.
Works with your existing infrastructure tooling
DevZero integrates with every layer of your Kubernetes stack, from provisioning to policy.
main.tf
resource "devzero_cluster" "prod" {
cluster_id = "prod-us-east-1"
provider = "aws_eks"
}
resource "devzero_workload_policy" "api" {
headroom_pct = 20
max_change = 40
namespace = "production"
}
✓ terraform plan · 2 to add · 0 to destroy
Terraform provider
Manage DevZero clusters, workload policies, and node policies as HCL resources. Full state management and plan output for GitOps workflows.
index.ts
import * as devzero from "@devzero/sdk"
const cluster = new devzero.Cluster("prod", {
clusterId: "prod-us-east-1",
provider: Provider.AWS_EKS
});
new devzero.WorkloadPolicy("api", {
headroomPct: 20, namespace: "prod"
});
✓ 2 resources created
~ 1 updated
Pulumi provider
TypeScript and Python SDKs for managing clusters and optimization targets, native to your existing Pulumi stacks.
NAMESPACE RBAC · PROD CLUSTER
●live
devzero-system
cluster-reader
✓
production
workload-writer
✓
staging
read-only
✓
kube-system
no access
—
read-op: no write · write-op: namespaced only
Full audit trail + advisory mode
Each operator runs with minimal RBAC permissions. Namespaced roles ensure blast radius is limited, read operator never requires write access.
Built for platform engineers
The controls your team actually needs, not a dashboard that requires a PhD to interpret.
cgroup v2 · live
CPU throttle
78%Mem PSI stall
43msOOM events
0sub-second
prometheus · 15s avg
CPU usage
38%Mem usage
51%Throttle visible
—averaged out
P99 latency spike · api-server-7f6d9
throttle_pct=0.78 · caught in 180ms window
Detected
DevZero reads directly from the Linux cgroup v2 hierarchy; CPU throttle microseconds, memory pressure stall information, and OOM kill counters; not from Prometheus scrapes that are 15-second averages. Sub-second anomalies that cause P99 latency spikes are visible and actionable.
EKS
841pods managed
GKE
519pods managed
AKS
302pods managed
On-prem
178pods managed
Single tenant1,840
pods · 4 clusters$41kMonthly Savings
3Cloud Providers
4Clusters
1Tenant
One DevZero tenant manages rightsizing across all your clusters. Cost savings are aggregated per team, per namespace, and per workload owner; integrated with your cloud billing via AWS Cost Explorer, GCP Billing Export, or Azure Cost Management APIs.
DEVZERO
cpu.request: 2000m → 680m · conf=0.94SLACK · #PLATFORM-RIGHTSIZING
Advisory mode · saves $2.84/hrGITHUB · HELM-VALUES PATCH
resources.requests.cpu: "680m"Advisory mode surfaces recommendations where your team already works. GitHub PR integration writes a machine-readable patch to your Helm values file. Slack integration posts to the on-call channel. PagerDuty suppression prevents rightsizing during active incidents.
What our customers say
Frequently asked questions
Technical questions from platform engineers who've evaluated DevZero.
Stop paying for CPU you're not usingStart optimizing today
Connect your cluster in under 30 minutes. No code changes. No pod restarts. First saving visible within 24 hours.
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