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Transparent Pricing

Start for free. Supports AWS, GCP, Azure, on-premise, or any other cloud.

Kubernetes Resource Optimization

Free
Unlimited Cost & Perf Monitoring
$0
per month
Kubernetes resource and cost monitoring
Up to 2 active clusters
Platform access for 45 days
Cost attribution for departments
Data export for chargeback
Audit logging
Get Started for Free
Scaling & Optimization
Scaling & Optimization
$7
per CPU per month
Up to 2,000 CPUs
Unlimited data retention
Usually, ~25% of savings
Workload optimization
Infrastructure optimization
Pod Live migration
Spot instance management
Performance-based alerting
White-glove onboarding
Dedicated Slack support
Get Started for Free
Enterprise
Workload & Infra management
Custom
Contact us for pricing
Enterprise SSO
Forecast-driven scaling
Multi-cloud support
GPU infrastructure optim.
Dedicated account manager
Dedicated on-call service
Frx. Platform Eng support available
Custom SLAs
Contact Us
Procure DevZero through the AWS marketplace.
RESULTS
Slashing GPU Cluster cost by $776K alongside Karpenter
Dashboard showing projected monthly IT cost of $70,071 with 923 total nodes, resource utilization for CPU, memory, and GPU, and projected savings of $64,733 monthly and $776,799 annually highlighted by a red circle.

Who:
An enterprise AI/SaaS company that delivers real-time event detection and alerting for enterprises and First Alert for first responders by monitoring public data.A cybersecurity data platform whose Security Data Fabric streamlines and federates  data ingestion.

Need:
They run AI/ML workloads on EKS, managed via IaC with Karpenter for node management and KEDA for event‑driven autoscaling. They were seeking Kubernetes and GPU cost/resource optimization with clear before/after attribution, better cost visibility/reporting (by department/namespace), and safe, low‑touch automation that integrates with their existing stack (Karpenter, KEDA).

RESULTS
Slashing compute by 50% in 24 hours. Cutting cost by 80% in 5 days.
Bar chart showing monthly expenses from January to December with three categories: rent in light blue, bills in red, and groceries in green. Rent is highest, bills moderate, groceries lowest across months.

Who:
A cybersecurity data platform whose Security Data Fabric streamlines and federates  data ingestion.

Need:
Reduce high AWS/Azure cloud spend caused by under‑utilized and fragmented nodes without impacting customers.

RESULTS
Slashing workload cost by 80% in 12 hours.
Graph showing hourly total cost from Oct 10 2:27PM to Oct 12 2:27PM with current cost in gray and actual utilization cost in purple, cost peaks near $10 then declines.

Who:
A platform to help enterprises build and deploy AI models in their own cloud (BYOC), offering a managed Metaflow-based platform.A cybersecurity data platform whose Security Data Fabric streamlines and federates  data ingestion.

Need:
They run a dedicated control plane to run, monitor (e.g., Victoria Metrics), and scale those workloads. They wanted to cut Kubernetes cloud spend—especially the high cost of running a dedicated, per-customer control plane in their BYOC model—by reducing overprovisioning and node fragmentation, taming node churn/on‑call noise, handling stateful sets safely, and getting clear, defensible before/after savings attribution without degrading performance.