Last month I was at Kubecon Barcelona with with some of the OpenFaaS community, we were asked about deploying data science models to Kubernetes and, of course, can OpenFaaS help deploy models? In this post we will introduce a new function template aimed at Python data scientists and walk through a concrete example of deploying a PyTorch model.

OpenFaaS is developed by a small team of volunteers, we would love to know how you’re using the project and what problems you are solving.

The founder Alex Ellis shares the OpenFaaS 2019 Project Update, case-studies, his personal highlights, and the roadmap for the year ahead.

Learn how AWS Lambda and OpenFaaS can play well together with the new provider called faas-lambda. You’ll learn how to deploy functions to Kubernetes and AWS with the same developer experience and workflow which is known and loved by the OpenFaaS community.

Learn how to deploy Serverless Functions on Hashicorp Nomad with faas-nomad, a provider maintained by Andrew Cornies.

I’ll outline a few places where you can find us if you’d like to catch a session, grab a coffee, swag or just chat about Kubernetes and Serverless.

In this post I want to run through my top five tips for getting to grips with Serverless on Kubernetes. If you’re taking some time off over the Easter Bank Holiday weekend, then grab a cup of tea or coffee and your laptop to begin learning.

In this post I will show you how you can build subscriptions between your OpenFaaS functions and your Apache Kafka topics. I’ll be using Kubernetes to show you around, but the connector-sdk works with any OpenFaaS provider.

In my previous post I demonstrated how the OpenFaaS CLI and build-templates can enable functions on any container orchestrator such as Kubernetes or Google Cloud Run. In today’s post I will focus on how to deploy your Golang code to OpenFaaS either as a function or as a stateless microservice.

In this post I’ll introduce Google’s new Cloud Run product which like OpenFaaS allows any HTTP Server packaged in a Docker or OCI image format to be deployed and scaled.