Guangtong Bai | Staff Software Engineer, Product ML Infrastructure*; Shantam Shorewala | Software Engineer II, Product ML Infrastructure*; Chi Zhang | Staff Software Engineer, AI Platform*; Neha Upadhyay | Software Engineer II, AI Platform*; Haoyang Li | Director, Product ML Infrastructure *These authors contributed equally to this article. Background At Pinterest, our online ML serving systems employ a root-leaf architecture.…
#efficiency
3 posts
1 May
29 Mar 2022
The pursuit of an autonomic scale and efficiency system for Microsoft 365: Making it as easy as breathing
Engineering at MicrosoftThrough automated profiling and data collection of performance behavior, Microsoft’s M365 Core team can derive the context with which to inform the engineer about the impact of their code, as they write it. Randy Lehner likens it to the autonomic nervous system in this post on their Cloud Profiling and Reporting Pipeline. The post The pursuit of an autonomic scale…
13 Oct 2015
Adrian Colyer wrote a great summary of a recent paper by Peter Bailis et al. In the paper the database researchers examine open source Rails applications and observe that the applications apply constraints - foreign key references, uniqueness constraints - in a way that's not very performant or correct. I was pretty surprised to read […]