Yafang Chang

Yafang Chang

Sr Dev Ops Engineer @ Ayla Networks

About Yafang Chang

Yafang Chang is a Senior DevOps Engineer at Ayla Networks in Taiwan, where he has worked since 2018. He holds a Master's Degree in Computer Science from National Tsing Hua University and has experience in cloud infrastructure optimization and Kubernetes migration.

Work at Ayla Networks

Yafang Chang has been employed at Ayla Networks as a Senior DevOps Engineer since 2018. In this role, he focuses on optimizing cloud infrastructure related to data management, including relational databases, caching systems, and queueing systems. He has played a significant role in migrating Ayla's services to a Kubernetes platform, utilizing cloud providers such as AWS and GCP. His responsibilities include first-line issue management, deployment, operation, and troubleshooting for a high-traffic cloud platform.

Education and Expertise

Yafang Chang holds a Master's Degree in Computer Science from National Tsing Hua University, where he studied from 2010 to 2012. He also earned a Bachelor's Degree in Computer Science from National Taiwan Normal University, completing his studies from 2006 to 2010. His academic background provides a strong foundation for his expertise in cloud infrastructure and DevOps practices.

Background

Before joining Ayla Networks, Yafang Chang worked at Trend Micro in various engineering roles from 2012 to 2016. He began as an Engineer and later advanced to Senior Engineer, where he contributed to projects in Taiwan. Following his tenure at Trend Micro, he served as a Technical Consultant at SAS from 2016 to 2018. His diverse experience in engineering and consulting has equipped him with a comprehensive skill set in cloud technologies.

Achievements in Cloud Infrastructure

Yafang Chang has made notable contributions to cloud infrastructure optimization. He designed and implemented a logging system for the Kubernetes platform using the ELK stack and Kafka. This initiative reflects his technical capabilities and commitment to enhancing operational efficiency in cloud environments.

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