The situation. An IoT platform on a microservices architecture that had grown hard to live with. Performance problems, fragile services, and data nobody fully trusted: flaky sensors, third-party feeds that sent odd values, and code that was risky to change. The internal estimate for fixing it properly was two years.
What I found. The architecture didn’t need to be thrown out. It needed fewer moving parts, clearer boundaries, and a serious stance on data quality. Most of the firefighting traced back to bad data getting deep into the system before anyone noticed it was bad.
What we did. We rearchitected for performance and resilience, and put data quality at the front door: validate everything at ingestion, quarantine the weird stuff, and stop trusting sensors and third parties by default. The code got simpler as a side effect, because half its complexity existed to cope with data nobody had checked.
The result. The refactor landed in two months instead of two years. The platform got fast and stayed up, the flaky-sensor problem stopped leaking into the product, and the codebase became something the team could change without holding its breath.
If your plan to fix things properly has a year in it, the free diagnostic is worth 30 minutes first.
