Driving step‑function improvements in Service reliability, Dev productivity and Fleet efficiency through Agentic AI research and cross‑stack innovation.
The AIOps Research group at Microsoft focuses on designing and productizing novel solutions to the hardest problems in Cloud Operations and Enterprise-scale Dev Productivity — bringing measurable improvements in reliability, cost, and developer agility while partnering with engineering and research teams across Microsoft to deliver real business impact.
In Microsoft, we operate one of the largest productivity clouds and we need to keep pace with paradigm shifts such as the massive growth in Workload footprints, agentic software development and the need for self-managing cloud environments. Hence, we believe that ramping up our investments in Systems & AIOps research is crucial towards our long-term success.
We are barely scratching the surface in terms what is possible when combining cutting-edge algorithmic research and state of the art of AI/ML techniques. We strongly feel that this multi-faceted approach will help propel our infrastructure and services to adapt to the paradigm shifts and enable it to deliver best in class productivity experiences.
Careers: We are always on the lookout for motivated and dedicated candidates for Researcher, PostDoc and Internship positions in our team. If you are interested in doing cutting edge research to make our cloud infrastructure more efficient and reliable, please email us your latest CV.
Build intelligent observability techniques and agentic automation to detect, diagnose, and mitigate Cloud incidents faster while improving on-call productivity.
Design and evolve AI‑assisted agentic systems for Enterprise-scale software development that reduce manual toil and accelerate engineering velocity with high quality.
Develop cross‑stack data-driven methods for compute capacity, power, and cost optimization – making our 1P & 3P compute & energy usage more sustainable & predictable.
Our Paper, "Time Warp: The Gap Between Developers' Ideal vs Actual Workweeks in an AI-Driven Era" has been recognized with the Distinguished Paper Award. This study explores the fascinating impact of AI on developers’ productivity and satisfaction.
This workshop provides a forum for researchers and practitioners to present the state of research and practice in AI/ML for efficient and manageable cloud services. Please consider submitting your contributions.
