How Can Infrastructure as Code Accelerate Data Center Bring-ups? A Case Study at ByteDance
This program is tentative and subject to change.
Software companies are establishing new data centers to enhance software performance with lower response times as well as meet security requirements for storing local user data. ByteDance also has a strong need to deploy its services to new data centers worldwide quickly and with minimal error. Unfortunately, this process can also be time-consuming and errorprone, e.g., services often have dependencies on one another, requiring a strict deployment execution order. Moreover, the high similarity between resources in the new and the old data centers enables minimal modifications and maximizes the reuse of existing infrastructure configurations while providing the ability of global resource management. Additionally, manual migration across data centers often requires multiple confirmation checkpoints, which can significantly slow down the process. Therefore, to accelerate the new data center bring-ups, we adopt the idea of Infrastructure as code (IaC) which is a practice to automatically configure system dependencies and to provision local and remote instances [40]. In this work, we propose BYTEROLLOUT, an automatic intent-based software resource deployment system that is able to take customized infrastructure configurations as input and actuate deployments accordingly. We also assess BYTEROLLOUT in the following events of new data centers creations driven by site reliability engineering (SRE) teams. The evaluation results demonstrate that BYTEROLLOUT significantly accelerates the data center bring-up process, saving months of human effort and reducing costs by millions of USD simultaneously. The results also highlight that the Infrastructure as Code practice can be leveraged in the context of data center setups, offering benefits such as reduced process time and minimized errors throughout the deployment.
This program is tentative and subject to change.
Tue 18 NovDisplayed time zone: Seoul change
16:00 - 17:00 | |||
16:00 10mTalk | Adaptive Performance Regression Detection via Semi-Supervised Siamese Learning Industry Showcase Yongqian Sun Nankai University, Mengyao Li Nankai University, Xiao Xiong Nankai University, Lei Tao Nankai University, Yimin Zuo Nankai University, Wenwei Gu The Chinese University of Hong Kong, Shenglin Zhang Nankai University, Junhua Kuang Nankai University, Yu Luo Nankai University, Huandong Zhuang Huawei Cloud, Bowen Deng Huawei Cloud, Dan Pei Tsinghua University | ||
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16:20 10mTalk | How Can Infrastructure as Code Accelerate Data Center Bring-ups? A Case Study at ByteDance Industry Showcase Xianhao Jin ByteDance, Yifei Feng ByteDance, Yufei Gao ByteDance, Yongning Hu ByteDance, Jie Huang ByteDance, Kun Xia ByteDance, Luchuan Guo ByteDance Pre-print | ||
16:30 10mTalk | MobileUPReg: Identifying User-Perceived Performance Regressions in Mobile OS Versions Industry Showcase Wei Liu Concordia University, Montreal, Canada, Yi Wen HENG Concordia University, Feng Lin Concordia University, Tse-Hsun (Peter) Chen Concordia University, Ahmed E. Hassan Queen’s University | ||
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