Having a slow web application without knowing what to scale is a major engineering grind. Guessing whether to add replicas or adjust worker processes usually leads to wasted resources.
Here is how to analyze web application performance:
The problem: Applications slow down, but it is hard to tell if the application or the database is struggling under CPU, memory, and disk pressure.
The fix: Use decision charts to trace where requests spend time, pinpoint bottlenecks, and decide on adjustments like scaling replicas or worker counts.
Why it matters: You can make data-backed scaling moves based on real metrics and verify whether your changes actually improved speed.
Check out the full technical write-up to see the complete decision charts and diagnostic steps:
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