Hi everyone,
I’m running into some performance issues with Apollo when certain clients send deeply nested or repeated queries. Even with caching in place, I’m seeing spikes in execution time and occasional rate-limit problems that are hard to predict. While reading through different approaches, someone suggested I set up an account to test a small execution utility they’d used to control how operations are processed, which led me to set up an account and take a closer look.
That got me wondering how others here handle this kind of situation. When queries become expensive or hit rate limits unexpectedly, do you mainly rely on query complexity analysis and Apollo plugins, or do you add extra layers to control execution and throttling? I’m especially curious about real-world strategies that work well at scale without over-engineering the stack.
Would really appreciate hearing how the community approaches this.