Video: Morning Copenhagen Commute

Protobufs offer a structured approach to data definition, but testing gRPC services built with them can be a hurdle. By leveraging FauxRPC and CEL, you can accelerate development cycles, enhance test coverage, and ensure the reliability of your microservices. Scaling Protobuf Testing gRPC has emerged as a powerful framework for building efficient and scalable microservices, enabling seamless communication across diverse technologies. Its language-agnostic nature, powered by Protobuf, allows services written in Go, Java, Python, or any other supported language to interact effortlessly.

FauxRPCFauxRPC, a tool for generating fake gRPC servers, now integrates with , a tool for generating fake gRPC servers, now integrates with protovalidateprotovalidate, which lets you define validation rules in your Protobuf definitions. Now every request processed by FauxRPC will be automatically validated against your protovalidate rules. Not only will you get high quality data validation in your application, but now you can have..., which lets you define validation rules in your Protobuf definitions. Now every request processed by FauxRPC will be automatically validated against your protovalidate rules. Not only will you get high quality data validation in your application, but now you can have...

Are monoliths cool again?

Effortless gRPC Mocking in Go

gRPC can be pretty, too.