DevZero cuts Kubernetes costs by up to 80% through real-time resource optimization. Built by former Uber infrastructure engineers, DevZero continuously rightsizes workloads during runtime without restarts or disruption.
Using DevZero, Kubernetes users can:
* Reduce cloud costs by up to 80%
* Eliminate over-provisioning with live rightsizing
* Improve node utilization and bin packing efficiency
Core Features:
* Live Rightsizing: Adjusts CPU and memory for pods without restarts, eliminating over-provisioning and idle costs
* Intelligent Instance Selection: Picks optimal node types to maximize bin packing based on workload behavior
* Live Migration: Migrates workloads between nodes with zero downtime during rebalancing or maintenance
* Real-Time Observability: Visibility into CPU, memory, GPU, and network usage across every workload
Easy setup: Deploy in 30 seconds with one command. Works across AWS, GCP, and Azure.
DevZero is a Kubernetes optimization platform that cuts cloud costs by up to 80% through real-time, autonomous resource management. Built by former Uber infrastructure leaders who managed massive-scale Kubernetes environments, DevZero eliminates over-provisioning by continuously rightsizing CPU and memory during runtime without restarts, disruption, or manual intervention.
DevZero addresses the core inefficiency in Kubernetes: the gap between requested resources and actual usage. Most workloads are over-provisioned by 50-70% because teams set resource requests based on peak demand or worst-case scenarios. DevZero closes this gap by dynamically adjusting allocations based on real-time behavior, ensuring workloads get exactly what they need when they need it.
Using DevZero, platform engineering teams can:
Reduce Kubernetes cloud costs by up to 80% with autonomous optimization
Eliminate over-provisioning through continuous rightsizing without restarts
Improve node utilization from typical 30-40% to 80-90%
Free engineers from repetitive manual tuning and configuration
Maintain performance SLOs while dramatically reducing waste
Get complete visibility into resource consumption across all workloads
Deploy and see results in under 30 seconds with one command
Core Features:
Live Rightsizing: DevZero continuously adjusts CPU and memory allocations for pods and containers in real-time without requiring restarts. Traditional Kubernetes requires you to set static resource requests that remain fixed until you manually update them. This leads to massive over-provisioning because teams set requests high enough to handle peak load. DevZero monitors actual usage patterns and adjusts allocations dynamically, ensuring your services scale responsively to actual demand. This eliminates over-provisioning and idle costs while maintaining performance. Your workloads stay tightly aligned with real usage instead of static estimates.
Intelligent Instance Selection: DevZero dynamically selects the optimal node instance type for your workloads to maximize bin packing efficiency and overall cluster utilization. By analyzing workload behavior in real-time, the system chooses the right CPU and memory profile to meet SLOs while minimizing resource waste. Instead of running workloads on oversized instances or dealing with fragmented capacity, DevZero packs workloads efficiently onto appropriately sized nodes. This results in higher density per node, fewer underutilized instances, and significant cost savings without sacrificing performance.
Live Migration: DevZero enables seamless workload migration between nodes with zero restarts, no dropped connections, and no impact to running applications. This is essential for rebalancing compute, draining nodes for maintenance, or optimizing costs without disruption. Traditional Kubernetes node operations require graceful shutdowns that can impact service availability. DevZero keeps your workloads running uninterrupted during infrastructure changes, ensuring continuous availability even for demanding production workloads.
Real-Time Observability: DevZero generates deep telemetry data for CPU, memory, GPU, and network activity across every workload. You get complete visibility into resource consumption patterns, utilization rates, and optimization opportunities. The platform surfaces the gap between static resource requests and dynamic actual usage, making it easy to identify waste and track savings. Teams can see exactly which workloads are over-provisioned, how much capacity is being wasted, and where optimization delivers the biggest impact.
Autonomous Optimization: DevZero uses machine learning-based forecasting to predict workload behavior and proactively adjust resources. Instead of reacting to spikes after they happen, the platform anticipates demand patterns and scales resources ahead of time. This ensures performance remains consistent while keeping costs optimized. The system learns from historical patterns and adapts to your specific workload characteristics.
Enhanced Security: DevZero provides strong workload isolation that protects against privilege escalation risks while maintaining container-level agility and performance. The architecture reduces the blast radius of potential compromises and mitigates classes of Kubernetes vulnerabilities tied to shared resources.
DevZero is easy to set up:
Fast deployment: Get up and running in under 30 seconds with a single command
Single operator: One command installs the operator and starts collecting data immediately
No agents required: Simple, lightweight deployment without complex agent management
Multi-cloud support: Works seamlessly across AWS, GCP, Azure, and on-premises environments
Battle-tested on critical production workloads across industries. DevZero helps platform teams at high-growth companies optimize Kubernetes costs while maintaining reliability and performance at scale.
Highlights
Live rightsizing of CPU and memory without restarts or disruption. DevZero continuously adjusts pod resources in real-time based on actual usage, eliminating over-provisioning and cutting Kubernetes costs by up to 80%. Your workloads stay performant while costs align with real demand, not static estimates.
Deploy in 30 seconds with one command and see immediate results. Single operator installation starts collecting telemetry instantly, providing complete visibility into CPU, memory, GPU, and network usage across every workload. No complex setup, no agents, no lengthy configuration required.
Live workload migration between nodes with zero downtime and no dropped connections. DevZero dynamically selects optimal instance types for maximum bin packing efficiency, then seamlessly migrates workloads during rebalancing or maintenance. Works across AWS, GCP, Azure, and on-premises without vendor lock-in.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing offers a Free option and a Paid subscription. The Free option covers cost monitoring for up to two clusters at no charge. The Paid subscription bills by CPU usage, measured through several usage dimensions: total CPU cores per month, total core minutes per month, and total monthly projected savings. These usage meters track how many cores your optimized clusters consume, so your cost scales with your actual post-optimization footprint. As your clusters shrink, the metered usage drops. You procure the subscription through AWS Marketplace using your existing AWS commitment.
Top-of-mind questions for buyers
What counts as one CPU core for the Paid subscription billing?
Billing measures the CPU cores your optimized clusters actually run, tracked as CPU core months. DevZero rightsizes and bin-packs your workloads first, then meters the post-optimized footprint. The count reflects real utilization across your clusters, not the peak capacity you originally provisioned.
What happens to my bill as my clusters shrink after optimization?
Your cost drops as optimization reduces cluster size. DevZero bin-packs workloads onto fewer nodes and rightsizes CPU, memory, and GPU in real time. Since charges scale with the post-optimized core count, fewer cores mean a lower metered bill. There are no charges for idle capacity you reclaim.
How do the CPU usage dimensions combine with the Total Monthly Projected Savings meter?
The core-based dimensions meter what your optimized clusters consume, driving your subscription cost. The Total Monthly Projected Savings dimension tracks the reduction DevZero identifies against your prior spend. The core meters determine what you pay; the savings meter reports the value delivered. Both appear on the same account.
www.devzero.io
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Your DevZero subscription includes 24/7 email support.
For technical assistance, integration help, or questions
about optimization features, contact support@devzero.io. Enterprise customers support via dedicated Slack channel.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
DevZero cuts Kubernetes costs by up to 80% through real-time resource optimization. Built by former Uber infrastructure engineers, DevZero continuously rightsizes workloads during runtime without restarts or disruption. Using DevZero, Kubernetes users can: * Reduce cloud costs by up to 80% * Eliminate over-provisioning with live rightsizing * Improve node utilization and bin packing efficiency Core Features: * Live Rightsizing: Adjusts CPU and memory for pods without restarts, eliminating over-provisioning and idle costs * Intelligent Instance Selection: Picks optimal node types to maximize bin packing based on workload behavior * Live Migration: Migrates workloads between nodes with zero downtime during rebalancing or maintenance * Real-Time Observability: Visibility into CPU, memory, GPU, and network usage across every workload Easy setup: Deploy in 30 seconds with one command. Works across AWS, GCP, and Azure.
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