You have 40 microservices and a few bare-metal boxes from Hetzner. WarpGrid runs them all—5,000 per node—with one binary and no Kubernetes. Powered by WebAssembly for millisecond cold starts and sandboxing by default.
Every container you deploy carries an invisible tax — seven layers of kernel machinery between your code and the hardware. WarpGrid removes six of them.
Share this breakdownHere's what Docker actually does when you run a container. It asks the Linux kernel to create six isolated namespaces (pid, net, mnt, uts, ipc, user) — each container gets its own view of process IDs, network interfaces, mount points, and users. Then it sets up cgroups v2 to enforce CPU and memory limits. It creates a virtual ethernet pair (veth) and bridges it to the host network through iptables rules. It unpacks a layered filesystem image through OverlayFS. It applies a seccomp profile that filters 300+ system calls. And only then does your 2MB of application code run on top of a 200MB OS image, inside an 80MB container runtime, managed by a 200MB orchestrator stack.
WebAssembly doesn't need any of that. A Wasm module executes inside a linear memory sandbox — a flat byte array that the module can read and write, but cannot escape. There is no filesystem access, no network access, no system calls, and no process table unless the host explicitly provides them through typed capability imports. Isolation isn't enforced by the kernel after the fact — it's a structural property of the bytecode format itself. There is nothing to escape from because there is nothing to escape to.
This is where the density comes from. A Docker container pays a minimum overhead of ~50-100MB for the guest OS, namespace bookkeeping, veth pairs, cgroup tracking, and OverlayFS metadata. A WarpGrid instance pays 1-10MB for the Wasm linear memory — because that overhead simply doesn't exist. The six layers between your code and the hardware are gone, not optimized. That's how one node goes from 50 containers to 5,000 instances. It's not a benchmark trick. It's fewer things.
Real Hetzner Cloud pricing. Same workload, different approach.
Estimates based on Hetzner Cloud pricing. Average 256 MB per Docker container, 4 MB per Wasm instance.
No Docker. No containers. No signup. Just your terminal.
We'll deploy a hello-world service to our cloud in ~3 seconds. No signup required.
Paste a public GitHub repo. We'll scan your dependencies and show your WarpGrid compatibility score in seconds.
Or run it locally: warp convert analyze ./my-api scans your dependencies, identifies compatibility, and generates a deployment manifest.
WarpGrid compiles your project to a Wasm component. Database drivers, DNS, and filesystem calls are transparently shimmed — no code changes needed.
Push to any node running warpd. Autoscaling, health checks, rolling deploys, and canary routing work out of the box.
Every feature runs inside the single warpd binary. No sidecars, no operators, no CRDs.
Real-time cluster overview, deployment management, node health, and rollout tracking. Server-rendered, no JS framework required.
Scale on RPS, P99 latency, error rate, or memory. Configurable cooldowns prevent flapping. Scale to zero when traffic stops.
Wasm's capability model means zero access unless explicitly granted. No seccomp profiles, no AppArmor, no SELinux configuration.
Wire-protocol passthrough for Postgres, MySQL, and Redis. Your existing database drivers work without modification. Connection pooling included.
Rolling updates, canary routing with auto-rollback, and blue-green deployments. Health gates between every batch. Built-in, not a CRD.
Multi-node clusters use embedded Raft — no etcd to install, configure, or monitor. Survives single-node failure. mTLS between all nodes.
| Docker Compose | Kamal | Kubernetes | Nomad | Fermyon Spin | WarpGrid | |
|---|---|---|---|---|---|---|
| Compute primitive | Containers | Containers | Containers | Containers + drivers | Spin components | Wasm components |
| Node overhead | ~100MB (Docker) | ~100MB (Docker) | 300MB+ (8 daemons) | ~100MB | N/A (SaaS) | 25MB (1 binary) |
| Cold start | 1-10 seconds | 1-10 seconds | 1-10 seconds | 1-10 seconds | ~1ms | ~1ms |
| Security model | Kernel namespaces | Kernel namespaces | Namespaces + bolt-ons | Kernel namespaces | Wasm sandbox | Wasm capability sandbox |
| Bare metal native | Yes (Docker req.) | Yes (designed for it) | With kubeadm (complex) | Yes | No (cloud only) | Yes (single binary) |
| Multi-node clustering | No (single host) | No (deployer pushes) | etcd (external) | Raft (built-in) | N/A | Raft (embedded) |
| DB driver support | Native (Linux) | Native (Linux) | Native (Linux) | Native (Linux) | SDK-specific | Wire-protocol proxy |
| Languages | Any (container) | Any (container) | Any (container) | Any (container) | Rust, JS, Python, Go | Rust, Go, TypeScript |
| Migration effort | — | ~2 hours | ~4 hours | ~2 hours | ~1 hour | — |
Migration estimates for a typical 3-service backend. Your mileage may vary.
Compile your existing backend code to WebAssembly. Database drivers, DNS, and filesystem calls are transparently shimmed at the protocol level.
WarpGrid is a single static binary. If it runs Linux, it runs WarpGrid. No Docker required.
Hetzner
OVHcloud
DigitalOcean
Vultr
Akamai
Scaleway
GCE
We'd rather save you time than overpromise. Here's when WarpGrid isn't the right fit.
One binary to install. One file to configure. One command to deploy.
No YAML. No containers. No regrets.