I like that Sentry makes it easy to add observability with logs, traces, and metrics across different programming languages and frameworks. The API and SDK are clean and easy to use, and the integration with frameworks like Java Spring Boot and Go with Gin, as well as our loggers, is seamless. The instrumentation of use cases is straightforward with OpenTelemetry. Sentry's dashboard provides metrics that we previously had to gather with SQL queries. Logging and tracing help us quickly identify and fix problems, improving performance and enhancing customer experiences. The integration and setup are very easy, adding both ease and speed to our software projects.

Sentry provides immediate visibility into existing application errors and telemetry, making it possible to spot issues quickly and understand what’s happening for users.

I like that Sentry catches issues that show up on real devices that I can’t always test myself. It’s especially helpful because my app, Vulpo, connects to people’s Home Assistant server, and every setup is a little different. I also appreciate the stack traces and debug symbolication, since they give me detailed errors with the exact lines of code that triggered the problem. On top of that, the initial setup was really easy. The UI/UX is strong overall, although a few elements feel a bit too buried. There are also a lot of integrations; I don’t use most of them right now, but it’s good to know they’re available if I ever need them. Performance could be better, especially with Session Replay enabled on iOS with SwiftUI, where it can cause some micro-hangs. If I don’t use Session Replay, performance is great. Pricing is also great, with a generous free tier and paid plans that feel fair. The AI/Intelligence features are fairly useful, but they aren’t the main reason I buy in. Seer (the code review) is something I can’t fully trust with a relatively large codebase, but it’s still nice for a first assessment of an issue.