Don’t hold off fixing problems until they become too big and difficult to manage.

The New Stack is a publication covering trends and technologies in cloud-native development, DevOps, and software delivery. Developers can learn about containerization, Kubernetes, and cloud computing, as well as explore topics such as microservices architecture, serverless computing, and continuous integration/continuous delivery (CI/CD) pipelines.

The New Stack

Microservices can fail due to numerous reasons, such as delaying problem fixes, using shared databases, making services too small, relying on manual deployments, and focusing only on unit testing. Success requires automating deployments, using various testing techniques, improving local testing capabilities, creating robust tooling, fostering technical proficiency, simplifying complexity, and developing comprehensive documentation. Regular refactoring and a solid, adaptable architectural vision are also vital.

How To Fail at Microservices

The Myriad of Ways To Fail at Microservices

<p>I’ve seen a few of these… actually I’ve seen like half of these play out. It’s a tough situation to be in. But it was a situation where a monolith was being broken out into microservices, and the plan would take years to achieve. So this intermediate state would exist with a bunch of microservices backed by a single db. The services all had automated deployments, which was good. I think the main problem was the single db, which also resulted in the data access layer being a shared code package for <em>all</em> microservices. Distributed monolith, basically.</p>
