Most automation fails quietly before it fails completely
One thing I’ve noticed building automated systems over time is that they rarely fail all at once.
They usually degrade slowly first.
A signal arrives late.
An API response takes longer than expected.
A retry works, but not exactly how you intended.
Nothing breaks immediately, so it’s easy to ignore.
But over time those small inconsistencies compound.
Until eventually something obvious fails.
What’s interesting is that the real failure often started much earlier, it just wasn’t visible yet.
In trading systems this is especially noticeable because timing and state matter so much.
A small delay or mismatch doesn’t always cause a failure right away, but it can change behaviour enough that the system slowly drifts away from what you expected.
By the time you notice, you’re debugging something that actually started several steps earlier.
Curious how others deal with this.
Do you try to detect early degradation, or do you mainly focus on handling full failures?
