I’ve been working with R.E.P.O systems for a while now and I’m running into the same frustrating pattern over and over again. Every time we try to process items through our workflow, something goes wrong and we end up with broken or corrupted data.
What I’m experiencing:
Items get damaged during processing
Workflow steps fail unexpectedly
Data integrity issues keep popping up
Recovery takes way too long
Is this normal for R.E.P.O environments? I’m starting to think we’re missing something fundamental about how these systems should be configured or maintained.
Has anyone else dealt with similar reliability problems? Would really appreciate some guidance on best practices or common pitfalls to avoid. Our team is getting frustrated with the constant troubleshooting and we need a more stable approach.
Looking for practical solutions or workflow improvements that actually work in production.
We had the exact same nightmare for months. Turned out our cleanup processes weren’t running properly between jobs, so garbage was building up and causing weird cascading failures. Also worth double-checking your dependency versions - we had one library that was silently corrupting data under certain load conditions. Pain in the ass to track down but made a huge difference once we rolled back to a stable version.
Sounds like your validation checks might be lagging. We switched to running integrity tests after each major step and it reduced those random failures significantly.
Sounds like you might be pushing too much through the pipeline at once. I ran into similar corruption issues when our batch sizes were too aggressive for the hardware we had. Also check if your checkpointing is actually working - we thought ours was fine until we realized it wasn’t saving state properly between steps. Made recovery a nightmare every time something went sideways.