DevZero Kubernetes Cost Optimization

DevZero is a Kubernetes optimization platform that cuts cloud costs by an average of 53% through real-time, autonomous resource management. Built by former Uber infrastructure engineers 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. Across a representative sample of 115 customer production clusters running roughly 328,000 nodes -- all measured before optimization -- the median cluster uses just 19.6% of the CPU it reserves. Across the full sample, 70.8% of all requested CPU is never used at all. You pay for the reservation, not the usage. DevZero closes this gap by dynamically adjusting allocations based on real-time behavior, ensuring workloads get exactly what they need when they need it.

• Reduce Kubernetes cloud costs by an average of 53% 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

Live Rightsizing: DevZero continuously adjusts CPU and memory allocations for pods and containers in real-time without requiring restarts. The Recommendation Engine analyzes utilization patterns using percentile-based algorithms (p50, p95, p99) over configurable time windows, generating precise rightsizing recommendations. A Policy Engine evaluates every recommendation against user-defined rules -- controlling which namespaces and workloads are eligible, setting maximum and minimum resource boundaries, and defining whether changes are auto-applied or audit-only. 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. A custom Kubernetes scheduler (dz-scheduler) scores candidate nodes based on cost, target resource utilization, and overprovision limits. 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. For stateful workloads, the platform uses CRIU-based checkpoint/restore, allowing resource changes without pod restarts. The scheduler ensures checkpoint-restored pods are placed only on capable nodes. This is essential for rebalancing compute, draining nodes for maintenance, or optimizing costs without disruption.

Real-Time Observability: DevZero generates deep telemetry data for CPU, memory, GPU, and network activity across every workload. 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 and where optimization delivers the biggest impact.

Autonomous Optimization: DevZero uses ML-driven 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, keeping performance consistent while costs stay optimized.

DevZero uses a split-operator architecture designed for security and transparency:

• Read Operator (open-source): Runs inside your cluster in read-only mode. Collects CPU, memory, GPU, storage, and network metrics. No secrets, environment variables, or application data are ever collected.
• Write Operator: Only modifies resources that match active, user-defined policies. Changes are applied as Kubernetes-native operations.
• All communication uses mTLS encryption. Data is processed in isolated per-tenant environments.
• SOC 2 Type II certified.

• Fast deployment: Get up and running in under 30 seconds with a single command
• No agents required: Simple, lightweight operator deployment
• Multi-cloud support: Works seamlessly across AWS, GCP, Azure, and on-premises environments
• Consumption-based pricing available through AWS Marketplace

DevZero is battle-tested on critical production workloads. Platform teams at high-growth companies use DevZero to optimize Kubernetes costs while maintaining reliability and performance at scale.