We are in BETA! Deploy Rust functions as services for FREE during the beta period. Those functions will always be free to users. However, there is a rate limit for free users (~ several requests / user / min).
Internet of functions
Connect a chain of functions into an application using webhooks
Use Tensorflow-based MobileNet models to classify objects in an input image.
The Second State FaaS is based on the Second State WebAssembly VM (SSVM). It is specifically optimized for server-side applications. Key use cases include media processing, big data analytics, and edge AI.Learn more Performance
Static web page with FaaS functions as backend services. No servers to setup!
- The simplest FaaS example. The function adds "hello" to any string name the caller gives.
Watermark an image
- Adds a fixed watermark to an input image. Demonstrates binary-based function I/O.
- Adds a custom watermark to an image. Demonstrates a multi-part HTTP post as function arguments.
- Sends email messages via the sendgrid API. Demonstrates the use of the http_proxy command in Rust functions.
- Uses the MobileNet Tensorflow model to classify an input image. Demonstrates the mobilenet_v2 command in Rust functions.
- Uses the MTCNN Tensorflow model to detect faces in an image and to draw boxes around those faces.
Tutorials and documentation
Say "hello world" with the Second State FaaS. With JSON support, your Rust function can take any data as arguments, and return any data.
Rust functions in the FaaS can take binary data as input arguments and return value. This is ideal for applications such as image and video processing.
The Rust functions can also take a combination of text or JSON strings, byte arrays, and web content behind URLs, as input arguments.
Rust functions in the FaaS can take web-based content as input arguments, and send the return value to another web service. That creates chains of services.
Second State FaaS supports a
http_proxy API to access internet resources. You can access this API in your Rust function code.
Second State pre-installs native commands, such as Tensorflow model wrappers. That allows fast & safe AI operations from WebAssembly.