What I like most about Sentry is the depth and quality of the information it provides when investigating application issues. The error logging is extremely detailed, allowing users to drill down into exceptions, stack traces, device information, and environmental data to better understand the root cause of problems. The session replay functionality is particularly valuable, as it provides visibility into the actions performed by users leading up to an error, making troubleshooting significantly more efficient. The platform also offers useful insights into user impact, device types, operating systems, and geographic distribution, helping teams understand how widespread an issue may be. In addition, Sentry's customizable dashboards and reporting capabilities make it easy to monitor application health, track trends, and focus on the metrics most relevant to different stakeholders. From a Business Analyst perspective, it provides a clear view of application behavior and user experience, enabling more informed discussions with development teams and faster identification of potential issues.

Sentry allows us to (for the most part) centralize all our diagnostic data in a single place. We depend heavily on AWS infrastructure and services, and migrating away from Cloudwatch has truly been an illuminating experience on how much of a non-product that is when it comes to observability.

The AI assistant is very cool. I've used it to make new dashboards from scratch, and to debug issues. It's saved me hours of tedious work. It takes a little bit of prompt engineering sometimes, but it's free and fairly easy to use. Very cool!