As in any high-growth environment, expanding your suite of products and capabilities can contribute to a growing backlog of errors, and challenges prioritizing them… a scenario not lost on the team at Airtable, a connected apps platform that more than 300k organizations, including 80% of the Fortune 100, rely on to connect their teams, data, and workflows. To support organizations like Amazon and IBM, Airtable ships new features and updates through multiple deployments a week.

In the monitoring industry there’s a complicated and frustrating conversation that persisted over the years: how do you deal with the enormous volume of data generated by instrumentation? On one side of the aisle, you will find a cohort of vendors and developers telling you that you have to sample data, followed immediately by another group telling you that sampling will ruin the accuracy of incident analysis. They’re both right.

In 2018 we launched the Sentry Unity SDK, but at the time, we couldn’t crack how to display stack trace line numbers for C# exceptions with IL2CPP scripting backend. And until a recent release of Unity, we thought it wasn’t possible. But here at Sentry we often do the impossible… or at least the improbable. Like adding features to our JavaScript SDK while making it smaller at the same time.

In the last 2 parts of this series around improving performance in your Django applications, we focused on database and code optimizations. In part 3, we will focus on ways to improve the frontend speed of our Django applications by using the following.

Debugging is a frequently performed task not just for general software developers but also for game developers. During a debugging process of a game, most issues can be identified by simulating a code walkthrough.

As someone who has seen the devastating effects of poor performance monitoring firsthand, I can attest to the importance of doing it right from the start. If your users are experiencing latency issues and you’re not aware of them, that’s a big problem. At one of my previous jobs, we ended up paying out millions of dollars in SLA violation fees because we didn’t have proper monitoring.

Performance monitoring is an essential part of development. It’s usually one of the first things you’d want to do after setting up an existing project or getting started with a new one. Without monitoring performance, it will be challenging to detect post-development (production issues) issues in your application or how to resolve them. You may end up wasting time attempting to fix something that was never broken.