Linux Kernel 6.10 is Released: This is What's New for Compute Express Link (CXL)

50 Generative AI Prompts I use as a Product Manager to Improve Efficiency and Product Quality

• Steve Scargall
• Product manager

As a product manager, the success of our products depends on our ability to make informed, strategic decisions quickly and efficiently. In the fast-paced world of the IT industry, it’s crucial to stay ahead of trends, understand our customers deeply, and align our product development with our business goals. This is where generative AI and a well-crafted set of prompts have become invaluable tools in my daily workflow.

Why I Use These Prompts Daily

Every day, I’m faced with decisions that can significantly impact the trajectory of our product roadmap, customer satisfaction, and ultimately, our bottom line. The prompts I use are not just about generating ideas but about driving actionable insights that are tailored to our specific needs. These prompts cover a wide range of product management aspects—from prioritizing features based on customer feedback to crafting a go-to-market strategy that aligns with our business objectives.

Using ltrace to see what ipmctl and ndctl are doing

• How to , Linux , Performance , Troubleshooting

Occasionally, it is necessary to debug commands that are slow. Or you may simply be interested in learning how the tools work. While there are many strategies, here are some simple methods that show code flow and timing information.

To show a high-level view of where the time is being spent within libipmctl, use:

# ltrace -c -o ltrace_library_count.out -l '*ipmctl*' ipmctl show -memoryresources

To show a high-level view of where the time is being spent within libndctl, use:

Is Your Application Really Using Persistent Memory? Here’s How to Tell.

• Steve Scargall
• Linux , Storage

Persistent memory (PMEM), especially when accessed via technologies like CXL, promises the best of both worlds: DRAM-like speed with the durability of an SSD. When you set up a filesystem like XFS or EXT4 in FSDAX (File System Direct Access) mode on a PMEM device, you’re paving a superhighway for your applications, allowing them to map files directly into their address space and bypass the kernel’s page cache entirely.

But here’s the crucial question: after all the setup and configuration, how do you prove that your application’s data is physically residing on the PMEM device and not just in regular RAM? I’ve run into this question myself, so I wrote a small Python script to get a definitive answer using SQLite3 as an example application. However, before we proceed with the script, let’s examine how you can verify this manually.