The Reason Your Tests Are Flaky And How to Fix It Using Keploy
Ever had an API test fail even though nothing in your code actually changed? That's a noisy field problem and it's one of the most common causes of flaky tests.
In this video, we break down:
- What noisy fields are and why they show up (timestamps, tokens, request IDs - fields that change on every run by design)
- Why strict, byte-for-byte comparisons break because of them
- How Keploy solves this with automatic noise detection
- A live walkthrough of noise tags in the Keploy dashboard
- The actual mechanism: how Keploy captures traffic via a sidecar, mocks dependencies in a sandbox, replays requests, and compares responses field-by-field to tell real bugs apart from expected noise
If you're tired of re-running tests just because a timestamp didn't match, this one's for you.
Try Keploy: https:app.keploy.io
Docs: https://keploy.io/docs
GitHub: https://github.com/keploy/docs
Timestamps:
0:00 - What are noisy fields (and why do they appear)?
0:19 - Using Keploy To Detect Noisy fields
0:27 - Live noise detection on the Keploy dashboard
0:37 - How Keploy actually performs denoising
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