Three years ago, I inherited a distributed system that processed insurance claims across twelve microservices. The orchestration logic lived in a tangled web of message queues, retry handlers, and compensating transactions scattered across multiple codebases. When something failed—and in distributed systems, something always fails—debugging meant correlating logs across a dozen services while the business waited… Continue reading
Tag: Distributed Systems
The Patterns That Actually Matter: What Building Microservices at Scale Taught Me About Distributed Systems
The first time I decomposed a monolith into microservices, I made every mistake in the book. We ended up with a distributed monolith—all the complexity of microservices with none of the benefits. That painful experience taught me that microservices architecture isn’t about the services themselves; it’s about the patterns that make them work together. Microservices… Continue reading
The Architecture Decision That Will Make or Break Your System: Monolith vs Microservices in 2025
The debate between monolithic and microservices architectures has evolved significantly over the past decade. What was once a straightforward “microservices are better” narrative has matured into a nuanced understanding that the right architecture depends entirely on context. After leading architecture decisions across dozens of enterprise systems, I’ve learned that the most expensive mistakes come not… Continue reading
Azure Cosmos DB: A Solutions Architect’s Guide to Globally Distributed Databases
Throughout my career architecting distributed systems, few database decisions have proven as consequential as choosing the right globally distributed data platform. Azure Cosmos DB represents Microsoft’s answer to the challenge of building planet-scale applications—a fully managed NoSQL database service that delivers single-digit millisecond latency anywhere in the world. After implementing Cosmos DB across numerous enterprise… Continue reading