Frequently Asked Questions - Clanker Cloud
Learn how Clanker Cloud handles local credentials, multi-cloud infrastructure, Kubernetes workflows, bring-your-own keys, and beta access.
General
What is Clanker Cloud?
Clanker Cloud is a local-first desktop app for shipping with AI, gathering live context, troubleshooting, and managing cloud and Kubernetes environments.
Do my cloud credentials leave my machine?
No. Your credentials stay on your machine instead of going through a hosted third-party service.
Which providers are supported?
Clanker Cloud supports AWS, GCP, Azure, Kubernetes, Cloudflare, Hetzner, DigitalOcean, Vercel, GitHub workflows, and more over time. Ansible and Slurm are planned next rather than current support.
Who is this for?
There are three main paths: builders shipping AI-built apps to production, lean DevOps teams running multi-cloud infrastructure, and research teams deploying, training, and running their own systems.
Can I bring my own models and keys?
Yes. Clanker Cloud supports bring-your-own-keys, so you can use your own AI providers without token markup.
Can I see the product in action before joining?
Yes. The demo page shows the current Lambda, EKS, and infrastructure workflows before you join the beta.
For Builders
How fast is the setup for builders?
Install the desktop app and connect your credentials in about one minute on macOS, Windows, or Linux. Then move straight into repo analysis and deploy planning.
How do I deploy a vibe-coded app to production?
Connect your cloud credentials, point Clanker Cloud at the GitHub repo, review the deploy plan, and approve execution.
Can Clanker Cloud deploy directly from GitHub?
Yes. Clanker Cloud analyzes the repository and turns it into an execution plan for real infrastructure.
Do I need to be a DevOps engineer to use it?
No. It is built for founders and full-stack engineers who need production infrastructure without deep cloud specialization.
Which builders is this best for?
It is a strong fit for founders, full-stack engineers, and small teams moving from AI-built prototypes to real infrastructure with explicit approval before changes.
Can Clanker Cloud inspect costs after deployment?
Yes. The product includes cost exploration across connected providers and model usage as the app scales.
For DevOps Teams
How fast is the setup for infra teams?
Install the desktop app and start using your existing credentials in about one minute on macOS, Windows, or Linux. No hosted SaaS layer required.
What is a local-first AI DevOps platform?
It is a platform that helps with infrastructure workflows using local credentials and explicit plan review instead of routing privileged access through a hosted vendor.
How is Clanker Cloud different from a hosted AI copilot?
Clanker Cloud runs as a local desktop app, keeps credentials on your machine, supports bring-your-own-keys, and is built for provider-agnostic infrastructure workflows.
Can teams use existing cloud and cluster credentials?
Yes. The workflow is built around existing AWS, GCP, Azure, Cloudflare, Hetzner, and Kubernetes credentials.
Which infra teams is this best for?
It is a strong fit for small DevOps, platform, and SRE teams that need faster investigation, safer changes, and unified visibility across providers.
Does Clanker Cloud support Kubernetes?
Yes. Kubernetes support spans EKS, GKE, and AKS for plain-English troubleshooting and cluster inspection.
Can we extend it with custom agents?
Yes. Teams can build custom agents in Python or Node.js for their own infrastructure and operating model.
How does approval work before infra changes?
Agents generate a plan showing what will change, and operators approve execution before anything happens.
For AI Researchers
Can I use my preferred GPU providers?
Yes. The workflow is designed around the providers and clusters you already use instead of forcing one managed environment.
Can research teams keep credentials and keys local?
Yes. Clanker Cloud is local-first, so cloud credentials and AI keys stay under team control.
Which research teams is this best for?
It is a strong fit for frontier labs and research teams that want local-first control, preferred providers, and one surface for bring-up, training, and runtime operations.
Can we build custom research agents?
Yes. Teams can build custom agents in Python or Node.js and run them locally inside their Clanker Cloud workflow.