Exception propagation

Exception propagation is the process of passing an exception up the call stack until it is caught and handled. It allows for centralized error handling and prevents exceptions from being accidentally swallowed or ignored.

How to use it in a sentence

  • "I'm not sure why the app is crashing, but I suspect it's due to exception propagation from that legacy Perl script we use for currency conversion. Time to break out the debugger and follow the stack trace!"

  • "Hey Bob, I noticed you added a bunch of empty catch blocks in your code. You know that's just swallowing the exceptions, right? Let's refactor to use proper exception propagation so we can handle errors at the appropriate level."

If you actually want to learn more...

  • Reporting Database - Fowler discusses separating operational and reporting databases to optimize for different use cases. Proper exception handling is crucial when synchronizing data between these databases.

  • Eradicating Non-Determinism in Tests: Resource Leaks - Unhandled exceptions can lead to resource leaks, causing random test failures. Using resource pools in tests can help identify leaks early.

  • Continuous Delivery: Synthetic Monitoring - Synthetic monitoring runs automated tests against production regularly. Monitoring exception propagation in these tests can detect issues before they impact users.

Note: the Developer Dictionary is in Beta. Please direct feedback to skye@statsig.com.

Join the #1 experimentation community

Connect with like-minded product leaders, data scientists, and engineers to share the latest in product experimentation.

Try Statsig Today

Get started for free. Add your whole team!

Why the best build with us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
President
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
We use cookies to ensure you get the best experience on our website.
Privacy Policy