When you’re trying to optimize your application for performance, it helps to understand not only the number of people affected, but also user conditions of the slowest transactions, such as OS, browser type, and even connection type. When you’re looking at performance data, it can be hard to see the forest through the trees.
Enrique Fueyo Ramírez is the Co-founder and CTO of Lang.ai. Here’s a post on how him and his team at Lang.ai instrumented performance monitoring for GraphQL resolvers.
Slow apps frustrate users, which leads to bad reviews, or customers that swipe left to competition. Unfortunately, seeing and solving performance issues can be a struggle and time-consuming. Most developers use profilers within IDEs like Android Studio or Xcode to hunt for bottlenecks and automated performance tests to catch performance regressions in their code during development. However, testing an application before it ships is not enough.
