The talk outlines how modern data centers host diverse CPUs (Intel, AMD, Ampere, ARM), the multi‑layer performance‑tuning challenges this creates, and how Baidu Cloud’s one‑click Btune suite automates metric collection, bottleneck identification, and optimization across hardware, kernel, runtime, and application layers.
At QCon 2024, Baidu Intelligent Cloud presented the complexities of optimizing diverse CPU architectures in data centers and introduced Btune, a one‑click solution that automates bottleneck detection, analysis, and performance tuning across Intel, AMD, and ARM platforms, enabling engineers to boost service efficiency.
After migrating workloads to a new CPU platform, unexpected performance regressions can occur, but Baidu Cloud's Btune tool provides automated, multi‑dimensional analysis and actionable optimization suggestions that helped a test program improve its execution time by 36.8% through memory and NUMA tuning.
This article explains how Baidu Cloud’s Btune performance‑diagnostic tool helps identify CPU, memory and NUMA bottlenecks, provides automatic optimization suggestions, and demonstrates a real‑world test that improves a memory‑intensive program’s runtime by up to 36.8% after applying the recommended changes.
