Operations | Monitoring | ITSM | DevOps | Cloud

In our previous article, we outlined what a Linux coredump is and how they work under the hood. One common constraint we see in embedded Linux, however, is a limited amount of storage space. Whether we’re trying to limit writes to disk, or need to reserve most of the disk space available to a device for other data, sometimes we just don’t have enough space to store coredumps.

Debugging is an ever-present pain for all developers, and that will continue despite, or maybe even thanks to, the rise of AI-written code. Tools like Sentry have been around for a while to help us engineers track and debug issues, but it’s tempting to make that process even faster and easier with some shiny new AI tools. Sure, I could just copy-paste the exception’s stack trace from Sentry into ChatGPT, but what if I really wanted something smart?