Practical Application of Memory Graph Technology in Mobile App Performance Optimization: Insights from Feishu and Volcengine APMPlus

On October 28, ByteDance Mars Talk Episode 02 featured technical sharing sessions by Volcengine MARS-APMPlus developer Dang Pengfei and Feishu iOS developer Cai Liang, focusing on performance optimization practices utilizing the MARS-APMPlus suite.

In the first segment, "Sharing on Memory Graph Technology in APMPlus," Dang Pengfei introduced APM Plus, a performance monitoring product under ByteDance's MARS development suite. The platform provides full-link application performance monitoring through advanced data collection and non-intrusive tracking technologies. It offers robust exception scene restoration capabilities, helping enterprises efficiently troubleshoot anomalies, optimize application quality, and reduce operational costs.

The second segment, "Feishu's Practical Application of Volcengine APMPlus Memory Graph," was presented by Cai Liang. He emphasized that application stability is a primary concern for mobile developers, with Out-Of-Memory (OOM) crashes becoming increasingly critical as business complexity grows. Given Feishu's highly complex enterprise collaboration architecture, resolving memory leaks and pinpointing online OOM causes were top priorities. The session demonstrated how the Feishu R&D team successfully utilized the Memory Graph feature to accurately diagnose memory issues, substantially lowering the online OOM rate and safeguarding the platform's overall performance quality.