Services that use e.g. s4l can have a relatively high chance of running out of memory (also depending on e.g. which parameters are being used for a model).
It would be good if we had some kind of way of notifying (by raise exceptions along the toolchain) to warn users about an out-of-memory exception occured. Which would allow on the manually, and obviously ideally automatically, adapt the memory of the infrastructure used.
### Tasks
- [ ] check if logfile provides information of this memory limit crash @pcrespov
Services that use e.g. s4l can have a relatively high chance of running out of memory (also depending on e.g. which parameters are being used for a model). It would be good if we had some kind of way of notifying (by raise exceptions along the toolchain) to warn users about an out-of-memory exception occured. Which would allow on the manually, and obviously ideally automatically, adapt the memory of the infrastructure used.