LinkedIn Post Example: Explaining a Technical Decision

🚀 Exciting tech update! We just migrated our entire stack to microservices! After months of hard work, our engineering team has built a scalable, cloud-native architecture that will take us to the next level. Key wins: ✅ 10x scalability ✅ Faster deployments ✅ Best-in-class infrastructure So proud of our world-class engineering team! 💪 #engineering #microservices #cloud #devops #tech

We moved from a monolith to microservices eight months ago. Last week we moved back. The migration took five engineers four months. It worked. Deployments went from 45 minutes to 8. We could scale services independently. On paper, everything improved. But here's what happened in practice: debugging a single user request now meant tracing it across 11 services. Our median incident resolution time went from 20 minutes to 3 hours. A junior engineer couldn't fix a bug without understanding the entire distributed system. We have 14 engineers and 2,000 customers. We didn't have a scaling problem. We had a deployment problem. So we kept the CI/CD pipeline we built during the migration and moved the code back into a modular monolith. Deploy time: 6 minutes. Incident resolution: back to 25 minutes. The architecture that's right for your team at 500 engineers isn't right at 14.