Distributed Systems
Event-Driven SaaS Architecture
Worked on migrating a monolithic system toward multi-tenant microservices and asynchronous workflows.
The Product Challenge
A growing monolith had reached the point where every deployment carried risk for every tenant, and synchronous processing coupled workloads that had no business being coupled.
The goal was a migration toward multi-tenant microservices and asynchronous processing - without halting feature delivery or destabilizing production.
The architecture introduced service boundaries and event-driven processing to support independent workloads and tenant-aware product growth.
My Engineering Contribution
- Worked on migrating the monolith to multi-tenant Spring Boot microservices with per-tenant isolation.
- Implemented event-driven processing with Apache Kafka to decouple services and absorb asynchronous workloads.
- Containerized services with Docker for consistent deployments across environments.
- Refactored legacy Spring Boot components to stabilize production and reduce recurring incidents.
- Built Salesforce-integrated modules supporting new tenant onboarding.
System & Product Considerations
- Service boundaries that match real product workflows
- Tenant isolation across services and data
- Backward compatibility while old and new paths coexist
- Asynchronous processing and failure handling with Kafka
- Production stability during incremental migration
Technical Areas
What This Project Taught Me
- Successful migrations are incremental - boundaries first, then movement. Never a big-bang rewrite.
- Events decouple teams and deployments as much as they decouple services.
- Production incidents are the most honest feedback an architecture ever gets.