Tool | Description |
---|---|
EdgeX Foundry | A vendor-neutral, open-source framework for building edge computing solutions. |
KubeEdge | Kubernetes-native edge computing framework for managing workloads and devices at the edge. |
Open Horizon | IBM’s open-source project for managing edge devices and apps at scale. |
Baetyl | An edge computing platform from Baidu, designed for AI at the edge. |
LF Edge Projects | A Linux Foundation umbrella hosting multiple edge computing projects like Fledge, EVE, etc. |
FogLAMP | Open-source fog computing platform for industrial IoT. |
WasmEdge Where to use it
Domain | Use Case |
---|---|
Edge computing | Run real-time inference, filtering, or control logic on devices like gateways, cameras, routers |
Serverless | Fast cold starts for function-as-a-service (FaaS) platforms |
Microservices | Lightweight, portable services with faster response times |
IoT devices | Minimal resource usage makes it suitable for constrained environments |
AI/ML at the edge | Run TensorFlow Lite or OpenVINO models on edge hardware |
Blockchain & smart contracts | Lightweight execution environments for decentralized apps |
Example in Rust:
// hello.rs
fn main() {
println!("Hello from WasmEdge!");
}
Compile with wasm32-wasi target:
rustup target add wasm32-wasi
cargo build --target wasm32-wasi --release
Run it with WasmEdge:
wasmedge target/wasm32-wasi/release/hello.wasm
Run it in Docker:
docker run --rm wasmedge/wasmedge hello.wasm
- Use in Kubernetes: Integrate with Krustlet or use as a lightweight container alternative.
- Integrate with OpenFaaS, Knative, or other FaaS platforms.