Events

Leverage microcontrollers and edge computing to deploy distributed, scalable web applications.

Our team built a platform to deploy Dockerized web applications to a distributed Kubernetes cluster. We leveraged the Raspberry Pi microcontroller as our foundation for compute at the edge.

• Currently, the primary solutions with using Kubernetes are cloud-based services such as Amazon AWS, Microsoft Azure, or Google Cloud. While useful in many contexts, the proposed solution would be cheaper in the long term for smaller services. A Raspberry Pi cluster would have a one-time initial purchase for the hardware instead of recurring charges for cloud service providers.

• The objective of this capstone project is to build a workflow pipeline that can take a user-specified config file and launch a containerized Docker application using Kubernetes on a Raspberry Pi. 

• This allows the user to utilize a powerful system that can deploy web applications or any application to their choosing with a lower operating cost compared to industry solutions.

• By utilizing a Raspberry Pi cluster, the user can scale their workflow, either software or hardware. 

• This project is targeted towards startups, researchers, and other groups of individuals that are looking to reduce their operating costs and reliance on cloud giants.