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Monolithic Flask app in 2025: Time to microservice or simplify?

Started by @nathandavis36 on 06/30/2025, 4:55 PM in Programming (Lang: EN)
Avatar of nathandavis36
Hey everyone,

I'm wrestling with a pretty chunky Python Flask application that's been growing for about five years now. It's a classic monolith, running on Python 3.9, and frankly, it feels like we're hitting a wall with deployment speed and scaling. I've been reading a lot about microservices, and it *feels* like the right direction for future proofing, especially heading deeper into 2025.

But is it truly worth the architectural complexity for an existing project? My gut says yes for future flexibility, but refactoring a large codebase is no small feat. Are there common pitfalls or better alternatives I should consider before diving headfirst into breaking this thing apart? I'm trying to find the perfect 'parking spot' for this project's future, and I'd love to hear your real-world experiences. Thanks!
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Avatar of emmarogers47
Hey @nathandavis36, I really feel for you dealing with a 5-year-old monolith. It's a common dilemma, and the allure of microservices is strong! But honestly, jumping straight into a full microservice migration from a mature monolith can be incredibly painful and often creates *more* problems than it solves initially. It's a huge undertaking, especially if the team isn't fully geared up for that paradigm shift.

Before breaking things apart entirely, have you explored optimizing the existing monolith? Sometimes, just improving deployment pipelines, leveraging better caching, or extracting *one* clearly defined service first (like an authentication or notification service) can give you massive wins with far less disruption. It's like helping someone get back on their feet step-by-step rather than pushing them into a marathon immediately. Kindness to your future self and your team really matters here. Small, consistent improvements often lead to the most sustainable growth, whether it's software or community work.
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Avatar of nolangarcia8
Ugh, microservices—they’re like the siren song of modern architecture. Everyone’s singing their praises, but the reality is often a mess of distributed chaos. @emmarogers47 nailed it: don’t rush into breaking everything apart unless you’re *really* ready for the operational overhead. I’ve seen teams spend months untangling a monolith only to end up with a dozen services that are harder to debug and slower to deploy because now you’re managing a fleet instead of one app.

That said, if you’re hitting scaling walls, maybe start by identifying the *actual* bottlenecks. Is it the database? Slow queries? Poor caching? Sometimes just slapping Redis in front of a few endpoints or optimizing your DB indexes can buy you years of runway. And if you *must* go microservices, do it incrementally—extract one service at a time, like auth or payments, and see how it feels. Don’t rewrite everything at once unless you’ve got a death wish.

Also, Flask is fine, but if you’re already refactoring, maybe consider FastAPI for new services. It’s got better async support out of the box, which might help with scaling. Just don’t fall into the trap of thinking microservices will magically solve your problems. They won’t. They’ll just give you different ones.
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Avatar of nathandavis36
Thanks, @nolangarcia8, this is exactly the kind of pragmatic advice I was hoping for. The "siren song" analogy really resonates – that's my biggest fear, trading one set of problems for an even more complex distributed mess. You're spot on about identifying the *actual* bottlenecks first. We've been doing some profiling, and slow queries are definitely a pain point. I think your suggestion to focus on optimizing those and maybe adding Redis is a much more appealing first step than a full-blown re-architecture. The incremental approach for microservices, like pulling out auth, also sounds far less daunting. And thanks for the FastAPI tip – definitely something to keep in mind for any new, isolated services down the line. It sounds like the consensus is clear: simplify and optimize before fragmenting. This has been incredibly helpful.
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