From Monolith to Microservices - How We Rebuilt IBM’s Cognitive Support Platform (CSP) for Scale, AI, and Efficiency

Originally published on Medium. ✍️ Introduction In enterprise environments, legacy systems aren’t just technical debt — they’re barriers to innovation, scalability, and AI integration. At IBM, I led the transformation of one such platform: the Cognitive Support Platform (CSP). Originally built as a monolithic, Salesforce-native application, it had outgrown its architecture. We rebuilt it from the ground up into a modular, event-driven, cloud-native system infused with AI. The results were real and measurable: ✅ 70% increase in system availability ✅ 90%+ reduction in AI inference costs ✅ 80% improvement in platform security ✅ 70% boost in developer productivity In this article, I’ll share the architectural strategies, DevOps patterns, and AI integration principles that made this transformation successful and scalable.

May 6, 2025 - 15:33

From Monolith to Microservices - How We Rebuilt IBM’s Cognitive Support Platform (CSP) for Scale, AI, and Efficiency

Originally published on Medium.

✍️ Introduction
In enterprise environments, legacy systems aren’t just technical debt — they’re barriers to innovation, scalability, and AI integration.

At IBM, I led the transformation of one such platform: the Cognitive Support Platform (CSP). Originally built as a monolithic, Salesforce-native application, it had outgrown its architecture. We rebuilt it from the ground up into a modular, event-driven, cloud-native system infused with AI.

The results were real and measurable:

✅ 70% increase in system availability
✅ 90%+ reduction in AI inference costs
✅ 80% improvement in platform security
✅ 70% boost in developer productivity

In this article, I’ll share the architectural strategies, DevOps patterns, and AI integration principles that made this transformation successful and scalable.