faas open source analysis

OpenFaaS - Serverless Functions Made Simple

Project overview

⭐ 26018 · Go · Last activity on GitHub: 2025-11-01

GitHub: https://github.com/openfaas/faas

Why it matters for engineering teams

OpenFaaS addresses the practical challenge of deploying and managing serverless functions in a containerised environment, making it easier for engineering teams to build scalable and event-driven applications. It is particularly suited for backend engineers and DevOps teams who need a production ready solution that integrates well with Kubernetes and Docker. The project is mature and stable, with a strong community and proven reliability in production environments. However, it may not be the best choice for teams seeking a fully managed cloud service or those who prefer vendor-specific serverless platforms with deep integration into a single cloud ecosystem. OpenFaaS offers a self hosted option for serverless functions that balances control and flexibility without vendor lock-in.

When to use this project

OpenFaaS is a strong choice when teams want to run serverless workloads on their own infrastructure or Kubernetes clusters, benefiting from container orchestration and GitOps workflows. Teams should consider alternatives if they require a fully managed service or need features tightly coupled with a specific cloud provider.

Team fit and typical use cases

Backend engineers and platform teams benefit most from this open source tool for engineering teams, using it to deploy lightweight functions that respond to events or HTTP requests. It is commonly found in products that require scalable microservices, automation pipelines, or event-driven processing, especially where teams prefer a self hosted option for greater control over their serverless environment.

Topics and ecosystem

docker faas functions functions-as-a-service gitops golang k8s kubernetes lambda nodejs paas prometheus serverless serverless-functions

Activity and freshness

Latest commit on GitHub: 2025-11-01. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.