Operations | Monitoring | ITSM | DevOps | Cloud

Syd Ryan describes two hard problems they've solved at Sentry with streaming Beam pipelines. The first solution combines Postgres change data capture and SQL views to produce a table that appears to be updating in real time within BigQuery. The second solution is aggregating 1000s of events per second and backfilling historical data effectively with Beam's unified batch/streaming interfaces.

Mike describes gotchas and early struggles Sentry hit moving streaming data pipelines off our laptops and into production. He covers some unexpected Beam defaults, detecting schema errors, compare performance between the python & java SDK, and proactively identifying when production pipelines break due to unexpected data.

In this pair programming session with Neil Manvar (Solutions Engineering Manager at Sentry) and Kevin Li (Product Manager at Split) we learn how you can leverage feature flags and your exception data for early detection of release-related errors.

Application crashes have a significant impact on customer experience, which can adversely affect a company’s reputation and revenue. Error and crash reporting is a unique feedback mechanism that provides true data about the quality of their product. Developer teams that create games, mobile applications, IoT, and other high-performance applications need rich insights into application health to quickly and continuously fix software errors with minimal impact.

Rookout’s new Sentry integration empowers you to fix bugs faster than ever before. Sentry features allow you to identify the exact location of an error in your code. With the Rookout integration, you will find an additional prompt to debug the issue live, in production, in Rookout. With the click of a button you will see the same line of code from Sentry highlighted in Rookout’s IDE-like interface, without restarting, redeploying or adding more code. In Rookout you can set non breaking breakpoints and trigger the error again to receive the real time debug data.

A quick walkthrough of the Sentry application monitoring platform. In just a few steps, Sentry allows developers to identify and fix production errors across every application in the stack. Get started by installing the appropriate SDK for your platform or platforms. All unhandled exceptions will be automatically captured by Sentry, with individual errors rolling up into larger issues. You will be able to quickly learn the impact of specific problems, examine the stack trace, and get added context about the application state, so you can connect issues to the root cause.

Meet Andy Tuba, a Senior Software Engineer at Reddit. In this video, Andy shares some behind the scenes knowledge on Sentry's role in the software development process for the front page of the internet, and how Sentry helps developers monitor errors.

The Sentry Integration Platform gives you the power to enable deeply meaningful and useful integrations with other tools that developers know and love. We achieved this in two ways: We’re looking for early adopters to flex our platform and expand what it can do.

Implementing Sentry on all your services allows you to use distributed tracing to find the root cause of errors. Just because an error happens in a browser or mobile app, doesn’t mean the issue is with the frontend or mobile code. The issue could stem from an error with code in a different project that they interact with in some way. Distributed tracing empowers developers to find the actual cause of hard to fix issues.