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Sentry

Dashboards that Replace your Release Manager

Back in my day, our offices used to have an “open concept” layout – just rows of desks. And at the end of every row was a 720i LCD TV showing 4 to 5 key metrics we’d watch after every release with great concern. While those wallboards sure were beautiful, we rarely had a clear view on how a release was trending. With our latest update to Dashboards, we’re joining form and function with Release Health widgets and a new release filter.

How to Integrate GitHub with Sentry to Increase Speed to Resolution

Toolchains are complicated these days - developers and engineering managers are working with more tools than they probably care to count. In order to work efficiently in today’s world, it is essential to have smart integrations in place that bridge the gap between your tools to get you what you need, faster.

FastAPI and Starlette Sentry Integrations Have Arrived

FastAPI is known for building REST APIs, middleware services, and simple integration for adding authentications and more. And it’s known for doing all of that…you guessed it, fast. It’s used by tech giants and scientists alike, and according to Stack Overflow’s Developer Survey 2022 more developers are using FastAPI than Ruby on Rails.

Maintaining High-Velocity Feature Development, Without Sacrificing Quality

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.

To Dynamically Sample or Not to Dynamically Sample | Snack of the 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.

Introducing Dynamic Sampling

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.