ACM India Industry Webinar on 12 December with Ranjita Bhagwan: "Using Data to Build Better Systems and Services"

December 3, 2020

We are happy to bring you the inaugural ACM India Outstanding Contributions in Computing by a Woman Award laureate for 2020 and an eminent researcher from industry for the next session of ACM India Industry Webinar Series.

Register now for the next session of the ACM India Industry Webinar series, "Using Data to Build Better Systems and Services", to be presented on Saturday 12 December 2020 at 11 am IST by Ranjita Bhagwan, Senior Principal Researcher at Microsoft Research India. The host for this session will be Rajeev Shorey, CEO of UQIDAR at IIT Delhi and Member of ACM India Council.

All students, faculty and industry professionals are welcome to attend the webinar. Feel free to forward this communication to those who would be interested.

Note : You can also stream this webinar on your mobile device, including smartphone and tablet.

Abstract: Today’s systems and services are large and complex, often supporting millions or even billions of users. Such systems are extremely dynamic as developers continuously commit code and introduce new features, fixes and, consequently, new bugs. Multiple problems crop up in such a dynamic environment, from misconfiguration of essential services, very slow testing and deployment procedures, and extended service disruptions when catastrophic bugs hit deployment. Nevertheless, with the advent of cloud-based services, new opportunities to use machine learning to alleviate such problems have emerged. Large-scale services generate petabytes of code, test, and usage-related data within just a few days. This data can be potentially harnessed to provide valuable insights to engineers on how to improve service performance, security and reliability. However, cherry-picking important information from such vast amounts of systems-related data proves to be a formidable challenge.

Over the last three years, we have been working on Project Sankie, which uses code, test logs and telemetry as data to build several tools that help develop and deploy systems faster while maintaining and even improving system reliability. My talk will first describe the challenges that arise from using machine-learning on such systems-related data and metadata. Next I will do a deep-dive on two specific tools that we built that are being used by several of Microsoft’s services.

Duration : 60 minutes (including audience Q&A)

Dr. Ranjita Bhagwan is Senior Principal Researcher at Microsoft Research India. Her research predominantly focuses on problems related to networked and distributed systems. Ranjita has worked for more than a decade on applying machine learning to improve system reliability, security and performance. She is the recipient of the 2020 ACM India Outstanding Contributions to Computing by a Woman Award. She has also won best paper awards and has chaired multiple top conferences in the field of systems and networking. Ranjita received her PhD and MS in Computer Engineering from University of California, San Diego and a BTech in Computer Science and Engineering from the Indian Institute of Technology, Kharagpur.

Dr. Rajeev Shorey, CEO of the University of Queensland - IIT Delhi Academy of Research (UQIDAR) and Member of ACM India Council