This is Part 3 of the humor-inspired saga on the journey from monoliths to microservices, to serverless, and now incorporating AI agents. If you haven’t read Part 1: Mono’s Journey from Monolith to Microservices and Part 2: Mikro’s Serverless Saga, please do so first.
Remember when we used to think of security like a medieval castle? High walls, a moat, and guards at the gate. Once you were inside, you were trusted. In the Tech world, that model worked great when our entire tech stack lived in a data center down the hall. Unfortunately, that castle doesn’t exist anymore.
According to IBM, the average cost of a data breach reached $4.9 million, with compromised credentials being the most common initial attack vector. Organizations that still trust their internal networks face a harsh reality: once an attacker gains authenticated access, they often have free rein to move laterally through systems. The philosophical shift from perimeter-based to Zero Trust security isn’t just about technology; it’s about survival in the modern threat landscape.
The question arises frequently in engineering discussions: “Should we break up our monolith into microservices?” The answer is often surprising: “Probably not” or “It depends”. This isn’t because microservices are bad—they’re not. It’s because the industry has finally moved past the religious wars where you were either team microservices or team monolith, with no middle ground. The reality in 2025 is far more nuanced.
This is part 2 of a humor-inspired take on Monoliths to microservices that I wrote a few years back: https://blogs.justenougharchitecture.com/monos-journey-from-monolith-to-microservices/. If you did not read that, please do so first.
Mikro was serving his consumers as always. He consistently met his promises (SLAs), and his life was good. Suddenly, he felt a stab and excruciating pain. “Damnit, what was that?” he said. To Mikro’s horror, he found himself being sliced and diced into smaller and smaller pieces. “But I thought I was already micro enough!” he wailed as functions were extracted from his very being.
Designing and building robust, scalable, and efficient systems is a fundamental requirement in software engineering. The AWS Well-Architected Framework is an essential resource that can significantly aid this process. Although it originates from Amazon Web Services, the principles and best practices it outlines are universally applicable. This blog aims to provide an understanding of the AWS Well-Architected Framework, its core focus areas, and its value to software engineering practices, regardless of whether you use AWS services.
Welcome to a step-by-step guide on creating an intelligent chatbot powered by OpenAI using Python and Jupyter Notebooks. In this tutorial, we’ll cover the fundamental concepts and guide you through the process of building a simple yet effective chatbot that leverages the power of OpenAI’s language model.
Once upon a time there lived a monolith application named Mono (creative ah!).