Agentic-NativeCloud for Agents

Most clouds were built for humans clicking dashboards, writing scripts, and managing tickets.

AI agents need a different operating layer.

They need infrastructure context, safe permissions, topology, logs, deploy history, cost signals, deploy policy, and rollback paths.

Clanker Cloud gives agents a place to understand systems, propose actions, run workflows, and operate cloud infrastructure safely.

Connect AWS, GCP, Azure, Kubernetes, Cloudflare, Vercel, Supabase, GitHub, CI/CD, observability tools, databases, and cost data.

Clanker Cloud maps your stack into one agent-ready control plane.

Your team and agents can inspect what exists, understand what changed, debug issues, and automate repetitive operations.

Run services, jobs, internal tools, automation workflows, and AI agents on Clanker Cloud.

Use your existing providers where they make sense. Move workloads into Clanker Cloud when you are ready.

The deploy path builds on the open-source Clanker CLI agent, the same local engine already used for real infrastructure workflows across clouds, clusters, repositories, CI/CD, observability, and cost contexts.

Clanker Cloud should own the path from plan to deploy, rollback, scheduled jobs, and agent workflows.

The proof is the open-source Clanker CLI agent. It already works across real infrastructure instead of a demo sandbox, giving Clanker Cloud an inspectable engine for cloud operations.

Clanker Cloud turns that engine into a cloud control plane, so the same agent that understands your infrastructure can drive deploys and coordinate changes across the stack.