Microservices were supposed to be independent. They were supposed to scale on their own. They were supposed to fail gracefully.
But then came… tight coupling — the forbidden love story of distributed systems.
❤️ Act 1: “You Complete Me()”
“I can’t function without your API.”
Everything was beautiful at first.
Order Service couldn’t do a thing without Payment Service — and Payment Service was always there to respond. They called each other constantly. They shared secrets (and DTOs). Then one day, Payment Service went down. Order Service panicked. The circuit breaker blew. It was chaos.
And that’s when we realized: “This isn’t love. This is synchronous dependency.” 😭
💌 Act 2: “Let’s Take a Break()”
“Maybe we should go asynchronous.”
The architect intervened. “Listen,” he said. “You two need some space.” So they moved to event-driven communication.
Now, Order just emits an event, and waits. If Payment responds later, great. If not, life goes on. No more late-night blocking calls. No more waiting for ACKs that never come.
💔 Act 3: “You Changed Your Schema… Again.”
“We said we’d always be backward compatible!”
One day, Payment updated its API. New JSON field. Slightly different response shape. No warning.
Suddenly, Order Service couldn’t parse half its responses.
Deployments failed. Rollbacks started. Monitoring alerts screamed.
😤 Act 4: “I Need My Own Space (Database)”
“We can’t share the same DB forever.”
They tried to be modern, but deep down they still shared the same monolithic database. It was convenient… until it wasn’t.
Deadlocks, foreign keys, and cascading deletes tore them apart.
Sharing a schema isn’t romance — it’s co-dependency.
They finally split up. Each took their own DB and started publishing events like healthy adults.
“We’re still connected,” said Order,“just eventually consistent.” 💔