
Worked on alibaba/loongcollector, delivering three core features over three months focused on system monitoring and performance optimization. Developed a CPU utilization metrics reporting capability by refactoring the CPU collector in C++, enabling accurate tracking of system, user, wait, and idle times using jiffies delta, and added unit tests to ensure reliability. Built a disk collector to monitor disk I/O, file system usage, and serial IDs, refining data collection and resource management for improved health visibility. Introduced caching for disk collector file system information, leveraging C++ and Linux internals to reduce redundant system calls and improve data retrieval latency.
September 2025: Implemented caching for Disk Collector File System Information in alibaba/loongcollector. Refactored GetFileSystemInformation to use a new SystemInterface cache, reducing redundant system calls and improving retrieval latency. This caching work lays groundwork for scalable, lower-latency disk data collection across deployments.
September 2025: Implemented caching for Disk Collector File System Information in alibaba/loongcollector. Refactored GetFileSystemInformation to use a new SystemInterface cache, reducing redundant system calls and improving retrieval latency. This caching work lays groundwork for scalable, lower-latency disk data collection across deployments.
Month 2025-08: Delivered a new Disk Collector feature for alibaba/loongcollector, enabling monitoring of disk I/O statistics, file system usage, and disk serial IDs. The work included bug fixes and refinements to improve data collection accuracy and resource management, contributing to more reliable disk performance tracking and health visibility. This aligns with business goals of proactive maintenance and capacity planning for the storage subsystem.
Month 2025-08: Delivered a new Disk Collector feature for alibaba/loongcollector, enabling monitoring of disk I/O statistics, file system usage, and disk serial IDs. The work included bug fixes and refinements to improve data collection accuracy and resource management, contributing to more reliable disk performance tracking and health visibility. This aligns with business goals of proactive maintenance and capacity planning for the storage subsystem.
For 2025-07, delivered a CPU Utilization Metrics Reporting feature in alibaba/loongcollector. The CPU collector was refactored to compute and report CPU utilization percentages (system, user, wait, idle, and other times) using jiffies delta. The change includes unit tests and a spelling fix in the cpuTotal variable. This work enhances observability, enables more accurate capacity planning, and reduces troubleshooting time by providing reliable CPU metrics. Committed as 5c804c9a4a209dbc3c7d26e463009bdbfeba4158 with message: feat: modify CPU collector (#2296).
For 2025-07, delivered a CPU Utilization Metrics Reporting feature in alibaba/loongcollector. The CPU collector was refactored to compute and report CPU utilization percentages (system, user, wait, idle, and other times) using jiffies delta. The change includes unit tests and a spelling fix in the cpuTotal variable. This work enhances observability, enables more accurate capacity planning, and reduces troubleshooting time by providing reliable CPU metrics. Committed as 5c804c9a4a209dbc3c7d26e463009bdbfeba4158 with message: feat: modify CPU collector (#2296).

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