DevZero Review: Kubernetes Optimization Software
DevZero helps software and enterprise companies manage Kubernetes cloud spend. It is designed for teams looking to reduce over-provisioning and idle infrastructure costs.
At a glance
- Category
- Software Development
- Best for
- Software companies, Enterprise companies, Kubernetes administrators, Cloud operations managers
- Pricing
- DevZero offers a free tier for up to 2 active clusters. The Scaling & Optimization plan starts at $7 per CPU per month for up to 2,000 CPUs, while Enterprise pricing is custom.
- Key use cases
- Reducing Over-provisioning, Multi-Cloud Cost Management, AI Workload Optimization, Live Resource Adjustment
- Integrations
- Terraform, Pulumi, AWS, Azure, GCP
- Official website
- devzero.io
DevZero is a platform designed to optimize Kubernetes environments by automatically adjusting resource allocations. It focuses on right-sizing CPU, memory, and GPU usage to match actual workload requirements, which may help reduce the waste found in over-provisioned clusters.
The tool supports software companies and enterprise organizations operating across various cloud environments, including AWS, Azure, GCP, Oracle Cloud, OpenShift, and on-premise setups. It combines workload rightsizing, node autoscaling, and bin packing into a single system to manage infrastructure efficiency.
Users can perform a free assessment to identify idle capacity and over-provisioned workloads before committing to a paid plan. The platform is designed to perform these adjustments using live migration to avoid application restarts.
Buyers should confirm how the platform's automated policies align with their specific stability requirements and verify if the tiered pricing fits their current cluster scale.
Key Features
Adjusts CPU, memory, and GPU allocations in real time to match workload needs without requiring application restarts.
Uses machine learning and telemetry to analyze workload requirements and support resource allocation.
Consolidates underutilized nodes and provisions right-sized infrastructure to support resource efficiency.
Supports AWS, Google Cloud, Azure, Oracle Cloud, OpenShift, and on-prem Kubernetes environments.
Provides visibility into infrastructure spend across clusters, nodes, and workloads, including cost attribution for departments.
Designed to identify and address unused GPU compute capacity for AI and high-performance workloads.
Use Cases
Identifying workloads that request more CPU and memory than they actually use to help lower monthly cloud bills.
Monitoring and optimizing Kubernetes spend across different providers from a single dashboard.
Managing GPU utilization for AI workloads to help ensure compute capacity is not wasted.
Performing rightsizing updates via live migration to avoid application downtime.
Best For
Integrations
Pricing
DevZero offers a free tier for up to 2 active clusters. The Scaling & Optimization plan starts at $7 per CPU per month for up to 2,000 CPUs, while Enterprise pricing is custom.
FAQ
DevZero is a platform that automatically adjusts the CPU, memory, and GPU allocations of Kubernetes workloads in real time to reduce wasted cloud spend.
Yes, DevZero offers a free tier that supports up to 2 active clusters with platform access for 45 days.
The platform supports AWS, Google Cloud, Azure, Oracle Cloud, OpenShift, and on-premise Kubernetes environments.
DevZero is designed for live rightsizing and zero-downtime migration, which helps adjust resources without requiring application restarts.
Source category: Software Development
Source subcategory: Kubernetes Management
