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Re-inventing Cloud
Eliminating over-provisioning and reducing cloud spend with live rightsizing MicroVMs
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What are MicroVMs?
MicroVMs are lightweight virtual machines that run multiple containerized workloads on a single host. They combine the security and isolation of traditional VMs with the efficiency and speed of containers.
Live Migration
Move microVMs between nodes without downtime, allowing seamless workload balancing and maintenance without disrupting applications.
Automatic Instance Selection
Underlying instance types are dynamically selected based on workload behavior and requirements, balancing performance and cost for optimal resource utilization.
Dynamic Resize
Adjust CPU and memory in real time without reboots, ensuring workloads scale seamlessly to meet changing demands.
Confidential Compute
Enhance workload isolation by running each container in its own microVM, leveraging hardware virtualization to prevent container escapes and security risks—while maintaining near-container-level performance.
Real-Time Visibility
Get deep visibility into every microVM. Generate telemetry data for CPU, memory, GPU, and network activity to optimize resource utilization.
Benefits
MicroVMs combine the performance of containers with the isolation of VMs.
They deliver better cost control, speed, and visibility for modern workloads.
They deliver better cost control, speed, and visibility for modern workloads.
Cost
Reduce Over-Provisioning
MicroVMs eliminate over-provisioning by dynamically adjusting CPU and memory allocation—ensuring you only pay for the resources you consume.
Speed
Caching and Scaling
MicroVMs scale CPU and memory in real time, ensuring workloads run at peak performance without bottlenecks. Caching and system-level optimizations help maximize speed and throughput.
Observability
Visibility Like Never Before
Track every microVM in real time. Monitor cost at the workload and team level with a granular breakdown. Control your cost like never before.
Use Cases
MicroVMs reduce cost, improve performance, and simplify infrastructure across a wide range of workloads. Explore how they support real-world use cases.
Reduce Cloud Waste
Pay for what you consume
Not for what you think you’ll use.
Most workloads are burstable by nature. Traditional provisioning forces teams to estimate peak resource needs—often leading to overprovisioning, idle capacity, or costly trade-offs in performance.
MicroVMs scale CPU and memory dynamically, giving each workload exactly the resources it needs in real time. No manual tuning in Helm or Terraform. No wasted compute. Resources scale up during spikes and down during idle periods, reducing cost while keeping applications responsive.
AI Workload
Maximize GPU Utilization
Share GPUs. AI sandbox with one click.
With true GPU Sharing, you can run several AI workloads on one GPU at the same time without the need for scheduling. Each workload runs in its own secure MicroVM, using only the GPU power it needs—with nothing wasted. This makes scaling easy, boosts utilization instantly, and cuts your infrastructure spend significantly.
With DevZero AI Sandbox, you can give your developers an AI-ready devbox with all the required tools such as Jupyter Notebooks. Nothing installs locally. Our AI devboxes will automatically scale up storage and compute when developers test their models without the need to switch to a new environment.
Self-Hosted CI/CD
Cheaper & Faster CI/CD Pipelines
Hosted runners are 6x–10x more expensive than self-hosted.
With a one-line change, spin up self-hosted runners, which are 30% faster, 10x cheaper, with built-in caching and unlimited concurrency. Each runner uses a single MicroVM that scales up or down based on job requirements.
DevZero runners use burstable compute, built-in caching, and remote execution to speed up CI jobs and reduce cost. Define your config once, scale automatically, and only pay for what you use—no cold starts, no idle resources.
CDE
Standardized Development Environments
Start coding instantly—no setup, no drift, no inconsistency.
MicroVM-powered CDEs give developers fully configured, production-like environments on demand—without manual setup or drift. Resources scale automatically, and no refactoring is needed as you move through the SDLC. This ensures consistency across environments and reduces time wasted on debugging setup issues.
Easily share and replicate environments for seamless collaboration. Developers continue using their preferred local IDEs, while everything else runs in a secure, standardized remote environment.
Reduce Your Cloud Spend with Live Rightsizing MicroVMs
Run workloads in secure, right-sized microVMs with built-in observability and dynamic scaling. Just a single operator and you are on the path to reducing cloud spend.
Get full visiiblity and pay only for what you use.
Get full visiiblity and pay only for what you use.
A Kubernetes platform for using microVMs to cut your cost across any cloud. Pay for what you use. Not for what you think you'll need.
