Operations | Monitoring | ITSM | DevOps | Cloud

If you know someone who actually likes managing work across projects, we’d love to meet this mythical being. Because we can’t imagine who enjoys hand-sifting through digital piles of notifications, prioritizing issues, then tracking down the right developer to assign the issue to. And once you’re done with that detective work, your engineer-of-the-hour may not even have access to the right tools to resolve the issue. Who’s got time for all this org chart spelunking?

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.