Let’s be brutally honest. Without the Transactional Outbox Pattern, your event-driven system is nothing more than a digital con artist. It’ll gladly take your customer’s money, and the moment it crashes, it ghosts them completely. You’re not building a reliable service; you’re building an automated rip-off machine. That might sound harsh, but the underlying risk…
What if I told you the Spring Event logic you just wrote, the code you believe is clean and decoupled, is actually a poison slowly sickening your entire system? This is the harsh reality of the limits of Spring Events when applied outside of a monolith. Inside a single application, Spring Events are a vitamin….
That “simple” change that just broke three unrelated modules? That isn’t a bug—it’s a symptom of a disease called tight coupling. And every time you make a direct service call, you’re making the disease worse. Your codebase becomes a tangled web of dependencies, making every future change a nightmare of unpredictable side effects. Most developers…
Monolith Decomposition isn’t a refactor—it’s an organizational reset. Carve along the business seams—code follows. Principled Microservices Playbook This article is a standalone deep dive on how to properly decompose a monolith and is a chapter in our comprehensive series. You don’t need any prior context to get the full value from this post. To explore…
Most developers see @Transactional as a magic spell for data integrity. But a deeper understanding reveals it’s a powerful policy enforced by a proxy. This perspective immediately leads to a critical design question that is often overlooked: where should this policy be declared? This is not a simple coding convention. This decision directly impacts your…
We’ve all seen it. A critical operation fails halfway through, leaving data in a corrupted, inconsistent state. The @Transactional annotation was supposed to be the safety net, but it failed. The problem isn’t the tool. It’s the blind faith we place in it. To build truly resilient systems, we can’t just trust the magic. We…
A lesson in finding the root cause when everyone is fighting symptoms. One afternoon, a developer on my team deployed a new feature to our staging server. Five minutes later, that server was dead in the water. The QA team was completely blocked. All other development work ground to a halt. I’m the Tech Lead…
When microservices each own their own database, a single global transaction across multiple services is typically unfeasible. Rather than forcing a “one-shot” commit or rollback (like 2PC), the SAGA pattern coordinates each service’s local transaction in a way that either all services complete successfully or any partial changes are undone by compensating transactions. This part…
In a monolithic system—where you likely have a single database—transaction handling can be straightforward: a single @Transactional boundary often suffices to guarantee atomicity (all-or-nothing). However, once you split your application into multiple microservices, each with its own local database or data store, old assumptions break down. Atomic updates across services become much harder, and the…
Even in microservices, where each service has its own database and a SAGA or TCC pattern coordinates commits, every service still relies on local transactions internally. Meanwhile, many applications remain monolithic or partially modular, handling multiple DAOs or repositories within a single DB connection. In both worlds, Spring’s @Transactional is the bedrock for ensuring atomic…
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