Python Flask Exception Handling In A Secure Manner

In our last Python Flask blog post, we walked through building a simple application to take in a Threat Stack webhook and archive the alert to AWS S3. In this post, we’ll dive into Python exception handling and how to do it in a secure manner.

The code in the last post was written to be as simple and readable as possible. However, what happens if something goes wrong in our application? There’s no error or exception handling. If something goes wrong — for example, we hit a bug or receive bad data — there’s nothing we can do about it in the application. Instead of returning a parseable JSON response, the app will just spit a backtrace embedded in an HTML document back. The entity sending the request to our service is then left trying to figure out what may have gone wrong. Read more “Python Flask Exception Handling In A Secure Manner”

Scala @ Scale, Part 1: Leaving Unhandled Errors Behind

The number of organizations investing in Scala is exploding, and for good reason. Scala combines Object Oriented and Functional capabilities as well as immutability, which makes it an extremely powerful foundation for applications that need to run at massive scale.

This series on Scala aims to bridge the gap between theory and practice by focusing on something that is not easily found on the open internet: Actual examples of functional concepts being used in production, at scale. We’ll even give you code samples!

Part 1 of the series dives into something that’s near and dear to all of us: How to incorporate error handling as a primary concern with a minimal level of effort. Read more “Scala @ Scale, Part 1: Leaving Unhandled Errors Behind”