The cloud is not just merely moving some machines from one location to a far remote location. It should also mean change in the way we work with computing resources to perform our research. Just lifting & shifting our computing workload to the cloud will result in reduced benefits and high cost. In this talk we will examine different approaches to move a typical computing workload to the cloud, from the (inefficient) lift&shift to the recommended workflows to get the maximum performance (and lowest cost) of the huge amount of resources that cloud providers put in our hands.

About Israel Herraiz

Israel Herraiz is a Strategic Cloud Engineer at Google. He has worked in different data science roles at BBVA Data & Analytics and Amadeus. He holds a PhD in Computer Science from Universidad Rey Juan Carlos (2008) and has been a visiting researcher at universities in Europe, Canada and the United States. In a prior life, he was an assistant professor at Universidad Politécnica de Madrid, where he carried out research applying data science to the study of software development and the phenomenon of open source software.

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Este evento se impartirá en inglés