Compare
ArchFormation vs Devzero
Devzero accelerates code releases, but does not generate infrastructure code visually.
Side by side
- What it is
- ArchFormation:ArchFormation is a no-code visual builder that designs AWS cloud architectures and exports production-ready Terraform code.
- Devzero:DevZero optimizes Kubernetes and AI workloads across clouds, reducing over-provisioning and costs.
- Best for
- ArchFormation:Visual AWS IaC generation
- Devzero:Cost-aware Kubernetes right-sizing
- Who it’s for
- ArchFormation:Developers, startups, and organizations building AWS infrastructure.
- Devzero:Engineering teams running Kubernetes clusters on any cloud or on-prem.
- Pricing
- ArchFormation:Freemium
- Devzero:Freemium
- Plans
- ArchFormation:Free $0 / month per month · Developer $49 / month per month · Startup $490 / month per month
- Devzero:Free $0/month · Pro $5 per CPU / month per month
- Works with
- ArchFormation:AWS, Kubernetes, GitHub
- Devzero:OpenShift
- DevHunt upvotes
- ArchFormation:7
- Devzero:85
- Launched on DevHunt
- ArchFormation:Jul 2025
- Devzero:Apr 2024
ArchFormation features
- Drag-and-drop canvas. Design cloud architectures by dragging AWS and Kubernetes components onto a visual canvas.
- Terraform code export. Generate production-ready Terraform scripts that can be downloaded or pushed to GitHub.
- Pre-built IaC templates. Use ready-made templates for common workloads like Kubernetes clusters or static websites.
- Multi-environment support. Configure components for multiple environments and share resources across them.
- Zero-trust security. Automatic security settings are applied to each component and connection as you build.
- GitHub integration. Sync generated Terraform code directly with a GitHub repository for version control.
- Enterprise features. SSO, custom feature requests, and 24/7 support for large organizations.
- Token-based limits. Each plan includes a set number of tokens per project to control resource usage.
Devzero features
- Real-time cost monitoring. Shows CPU, memory, GPU usage and cost attribution per department.
- Workload right-sizing. Adjusts CPU, memory and GPU requests per pod to match actual demand.
- Live migration. Instantly moves pods without restarts using checkpoint-restore.
- Spot & GPU optimization. Selects lowest-cost instances and manages spot and GPU resources.
- Multi-cloud support. Works with AWS, Azure, GCP, OCI, OpenShift and on-prem Kubernetes.
- Inference optimization (beta). Measures LLM traffic and routes requests to the cheapest model with caching and failover.
Based on each tool's website and DevHunt data. Details may change; check the official sites.