To give you enough notice to fix an issue before it escalates, we’re evolving our alerts and making them more proactive with Change and Crash Rate Alerts. So when your application experiences a change from the norm or a dip in crash-free sessions, Sentry will (smartly) alert you via Slack, Teams, PagerDuty, or old-fashioned email.
Given the millions of registered Unity developers worldwide, Unity is arguably the most popular engine used to develop games. But, whether you’re building the latest FPS or a turn-based classic, you need visibility in how your game is performing on a gamer’s device. More than 800 game development and platform companies rely on Sentry, from OutFit7 to Riot, Epic Games, and Unity.
Sentry is an open source company. We started out in 2008 as a small open source side project, and we grew within the community for years before commercializing in 2012. We’ve worked hard to keep our full product as open source as possible, while scaling as a business. Considering our commitment to open source, we are grateful to be able to give back to the community (and what better time than during Hacktoberfest, amirite?). (P.S.
Missed part one? Check out the full guide here. As companies grow, so do their products, teams, and the number of external tools. For engineers, that can mean code sprawl, data silos, notification fatigue, and some “what the…?” moments along the way as they try to make sense of it all.
As companies grow, so do their products, teams, and the number of external tools. For engineers, that can mean code sprawl, data silos, notification fatigue, and some “what the…?” moments along the way as they try to make sense of it all.
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.
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.
Welcome to Part 1 of our multipart series on Distributed Tracing for Full Stack Developers. In this series, we’ll be learning the ins-and-outs of distributed tracing and how it can assist you in monitoring the increasingly complex requirements of full stack applications.
