How do you manage a strategy consisting of millions of machines, hundreds of clusters, and many millions of individual tasks efficiently?
What kinds of efficiency solutions does Google interior cluster have?
The talk will be mainly focusing on challenges related to auto-scaling, but we will cover another efficiency solutions.
We will besides mention challenges related to memory scaling of Java applications.
Lecture took place on Thursday, 23rd June 2022 at 13:30 in area 4B
Beata is simply a elder Software Engineer at Google. She joined the company over 8 years ago in fresh York City office and then moved to Warsaw. She is passionate about applying device Learning to autoscaling, infrastructure efficiency, and improving analysis processes. Currently, she works in the retention organization on massively parallel copy service. Beata is simply a trained mathematician and physicist but, after joining Google, she fell in love with distributed systems and reliability.
Jacek Bzdak (he/they) is simply a elder Software Engineer on Google’s Autopilot team, which is simply a main car scaling tool utilized across Google interior cloud.
He has worked at Google for 2 years, is simply a associate of Autistics@Google worker Resource Group, and has a passion for the Google interior cluster strategy (Borg).
He graduated majoring in atomic Physics (and almost kinda-sorta got degree in Philosophy). Outside of work, he enjoys walking his dogs.
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