On May 20th, USENIX was excited to hold the very first Operational Machine Learning conference: OpML ’19. As over 220 attendees gathered that morning, it became clear that this is a topic which affects a lot of different organizations, and that a lot of work in the domain is in progress in both industry and academia.
In 2014, two years after Instagram joined Facebook, Instagram's engineering team moved the company's infrastructure from Amazon Web Services (AWS) servers to Facebook's data centers. Facebook has multiple data centers across the United States and Europe but, until recently, Instagram used only U.S. data centers.
Everyone loves building shiny, new systems using the latest technologies and especially the most modern DevOps tools. But that's not the reality for lots of operations teams, especially those running larger systems with millions of users and old, complex infrastructure.
If I had to pick one thing that is the most readily apparent during my first year at USENIX, it is the high-caliber people who are involved with the organization.
From the staff to the Board of Directors, through the program committees, to our members and conference attendees, I have had overwhelmingly positive and thoughtful interactions with all those whom I’ve encountered.
A strong, committed community like this has valuable opinions to offer us, and so we have put together a survey to solicit those opinions.
The Program Committee for LISA18 has spent the past few months reaching out to potential speakers and reviewing their submissions to ultimately build a strong, diverse line-up of topics for the this year’s LISA program.
Throughout this process, we have noticed a few gaps, so we’ve put together the following wish list of topics we’d love to see covered.