1. Performance = Consistent Speed + Reliability
A common red flag we hear from clients, “The app runs fine most of the time… until it doesn’t.”
Maybe the system struggles when traffic spikes. Or possibly nightly batch jobs run longer than expected and affect availability the next morning. Either way, inconsistent performance is often a sign the architecture wasn’t designed to scale predictably.
Questions to consider:
- Does performance stay consistent as usage increases?
- Are there slowdowns during peak times or large data processing?
- Do issues only surface when a specific team or function hits a ceiling?
- Are we constantly adjusting infrastructure just to keep things stable?
