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Sentry

Supabase & Sentry: Find slow queries and errors in your database

In this workshop, the Supabase developer relations team will demo connecting a Next.js project to Supabase, and integrating Sentry. Learn how Supabase can improve the performance and scale of your PostgreSQL database, and how Sentry can notify you about issues in real-time and surface the context you need to fix them.

5 easy tips to improve your personal website performance

If you’re a developer, you need a personal website. While billionaire-owned, algorithm-based social media platforms arbitrarily decide what people should and should not see on their timelines, there’s no better time for you to carve out your own cozy corner on the web and own your content.

Building for the Fortune 500,000: 80% to go...

To the Sentry community - It was sixteen years ago that David Cramer pushed the first commit to a side project, and twelve years ago when he and Chris Jennings turned this side project into a company that exists to solve a simple problem: making debugging any software issue dead simple. Since then, we’ve been on a path slightly different from what most people consider “observability.” Sentry isn’t a platform or a company that wants to collect logs and check a monitoring box.

Introducing the User Feedback Widget- The easiest way to connect with your users

Sentry is pretty good at capturing all your production issues. But sometimes your user hits an issue that doesn’t fire an exception – maybe a broken link, problem with their permissions, or even something as simple as a grammatical error in copy. Sentry won’t capture those, but you should probably know about them so you can fix them.

Sentry on Sentry: How Metrics saved us $160K

If you know me, you know I care about fast code. Recently, I ran a simple query that revealed that we spend almost $160k a year on one task. Luckily, we launched the Metrics beta back in March. Over the last month or so, 10 of us Sentry engineers collaborated across many functions to leverage Metrics to track custom data points and pinpoint the issue leading to this ridiculous ingestion cost.