preface
I’ve spent much of my software engineering career building distributed applications hosted in the cloud. These applications are powerful, flexible, and scalable but also traditionally notoriously difficult to build.
Unlike a single monolithic application, a distributed system consists of multiple services, infrastructure dependencies, background processes, databases, message brokers, caches, gateways, and other moving parts. Running the whole thing on a development machine was rarely straightforward. You often had to launch services one by one, emulate the missing pieces, and hope that your local setup was close enough to the real production environment.
Most of the time, it wasn’t. As a result, local development often became a loose approximation of the final system. You could test individual components, but you couldn’t always test how everything behaved together. Integration and configuration problems, networking mistakes, and dependency mismatches could remain invisible until much later, sometimes revealing themselves after the system had already been deployed.
This situation is one of the central challenges of cloud-native development. The architecture may be distributed, but the developer still needs a reliable way to understand, run, debug, and evolve the system as a whole.