Dhishankar Sengupta

Bug detection and triaging in complex storage systems pose unique challenges that distinguish them from general-purpose or SaaS-based software. Unlike conventional code which largely operates in a straightforward user space, storage solutions must seamlessly integrate with the operating system kernel, device drivers, and underlying hardware devices. This tight coupling introduces additional complexity in logging, concurrency, and operational flow.

With the complexity of applications increasing every day, the workloads generated by these applications are complicated and hard to replicate in test environments. We propose an efficient method to synthesize a close approximation of these application workloads based on analyzing the historic autosupport data from field using an iterative mechanism and also a method to store and replay these workloads in the test environment for achieving the goals of customer driven testing.