Speaker
Description
A new era is upon performance engineering where we ask AI to do much of our analysis and thinking: we run "performance prompts" (and skills and agents) instead of "performance tools." These can analyze all sources, including flame graphs, bcc and bpftrace tools (eBPF), Ftrace, PMCs, and MSRs; they can also propose new metrics and tools. How well does it currently work, and what does this mean for the future of system monitoring and observability, including for flame graphs and eBPF tools. There are many questions to ponder (more questions than answers), including: Should one day we include prompts, skills, and agents in the kernel tree, just as we do performance tools? This talk discusses questions and challenges that we will all likely be facing, and new opportunities, including example performance prompts.