Sentry Basics Learn about the key concepts and features of Sentry. Learn about Sentry's Data Source Name structure and use. Learn more about how environments can help you better filter issues, releases, and user feedback in the Issue Details page on sentry.io. This step-by-step tutorial walks you through the flow of setting up and configuring your Sentry account to monitor errors in a frontend application. You can follow this tutorial as a reference and apply the relevant changes directly to your source code. This step-by-step tutorial walks you through the flow of setting up and configuring your Sentry account to monitor errors in your Python backend application. You can follow this tutorial as a reference and apply the relevant changes directly to your source code. Learn more about Search, which is available in several Sentry features. Learn more about how Sentry groups issues together as well as different approaches for updating how events group into issues. Learn about event data and how to configure Sentry workflows and tools to fine-tune the data sent to Sentry. Learn more about the tracing features Sentry offers to help you track your software performance across multiple systems. Learn more about the reasons to move to Sentry's SaaS solution, which for many customers is less expensive to maintain, and easier to scale and support. Help improve this content Our documentation is open source and available on GitHub. Your contributions are welcome, whether fixing a typo (drat!) to suggesting an update ("yeah, this would be better").