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.

The introduction of CXL has significantly advanced the enablement of memory disaggregation. Along with disaggregation has risen the need for reliable and effective ways to transparently tier data in real time between local direct attached CPU memory and CXL pooled memory. While the CXL hardware level elements have advanced in definition, the OS level support, drivers and application APIs that facilitate mass adoption are still very much under development and still in discovery phase.

Cold data holds significant value for regulatory compliance, audits, legal necessities, and disaster recovery, even though it's not frequently accessed. Archiving is a strategic approach that enables businesses to manage this data efficiently, balancing cost, scalability, and performance. This presentation will highlight key features of leading cloud-based archival systems like AWS S3/Glacier, Azure Archive Storage, Google Cloud Storage, etc. We’ll delve into asynchronous data access on archives and the role of staging data in this process.