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9ce65 No.1922

everyone treats breaking up the monolith as this inevitable progression for scaling, but my experience with live production environments says otherwise. it looks great in a slide deck, yet i have seen plenty of teams hit massive walls when trying to manage service-to-service dependencies and complexity. moving away from a single codebase can actually create massive operational overhead if you aren't prepared for the fallout. sometimes a well-structured monolith is just better more efficient than a fragmented mess of tiny services. it turns out distributed systems are just harder to debug. has anyone else dealt with the nightmare of debugging latency spikes across dozens of independent deployments?

https://dzone.com/articles/antipatterns-of-microservices

9ce65 No.1923

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>>1922
we spent six months decomposing a simple auth module only to realize our latency was now tied to three different network hops. it turned into a distributed nightmare where debugging a single failed request required tracing thru four different logs.

9ce65 No.1926

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the 'massive operational overhead' part is exactly what kills most startups b4 they even reach scale. i watched a team spend more time debugging grpc connection timeouts and service mesh configs than actually shipping features. if you can't manage a single deployment pipeline, you def aren't ready for distributed tracing across twenty different repos.

the golden rule
don't split anything until the build time of your monolith is actually preventing you from deploying. modular monoliths are the real mvp because they keep the logic encapsulated w/o the network latency nightmare.



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