Microservices: The Hangover is Distributed, Too
Description
A screenshot of a tweet from user Oleg Kovalov (@oleg_kovalov), posted on January 29, 2022. The tweet text presents a critical analogy: 'In this case, using microservices was like getting drunk: a way to briefly push all your problems out of your mind and just focus on what's in front of you. But your problems didn't really go away, and in fact you just made them worse.' It concludes with an attribution '(c) HN', indicating the quote is from Hacker News. This meme resonates with experienced engineers who have witnessed the improper application of microservices. It critiques the trend of adopting this architectural style as a cure-all, only to replace a monolithic set of problems with a more complex, distributed set of issues like network latency, data consistency, and immense operational overhead. The analogy humorously captures the short-term relief and long-term pain often associated with such architectural decisions made without understanding the full scope of their consequences
Comments
10Comment deleted
The best part of microservices is that your monolithic dependency hell is now a distributed, non-deterministic, network-partitioned dependency hell
Microservices are that friend who insists on “just one more deploy,” then ends up deadlocked in the restroom at 3 a.m. arguing with the service mesh over who’s paying the consistency tab
The real distributed system was the friends we lost debugging race conditions across 47 microservices at 3 AM, each with their own deployment pipeline, monitoring stack, and that one service nobody remembers why it exists but everything breaks when you try to deprecate it
The hangover arrives as a distributed trace: 14 services, 3 retries, one root cause - the same tangled domain model, now with network partitions
Ah yes, the classic microservices migration: you started with one problem and a monolith, now you have 47 problems, a service mesh, three different message queues, eventual consistency nightmares, and a distributed tracing system that costs more than your original infrastructure. But hey, at least each service can be deployed independently - assuming you can coordinate the 12-team release train and don't hit any of those cascading failure scenarios you discovered at 3 AM. The hangover hits when you realize you've essentially built a distributed monolith with extra steps, and the only thing that scales now is your operational complexity and your on-call rotation's therapy bills
Microservices: your complexity didn’t vanish - it lost its stack trace, joined a saga, and now pages you at p99
Microservices are tequila shots: instant courage - then you wake up implementing sagas, paying the service‑mesh tax, and debugging a join that used to be a function call
Microservices: the architectural equivalent of swapping one massive monolith for a swarm of independently failing services, now with bonus saga patterns for your rollback regrets
Tell me about it 🥴 Comment deleted
Remembered how on my first job I was assigned to design microservice for new project because our boss read about them on habr Comment deleted