"Heroku distilled their principles to build modern cloud applications to maximize developer productivity and application maintainability in the in the https://12factor.net manifesto. These principles have influenced many of our design decisions at Blue Yonder.
While our data scientists care about machine learning models and statistics, we want to free them of being concerned with technicalities like maintenance of network equipment, operating system updates or even hardware failures. In order to save our data scientists from these tasks, we have invested into a data science platform.
This talk will give an insight how we use Apache Mesos, Devpi, Graylog and Prometheus/Graphana to provide a developer-friendly environment for data scientists to build their own distributed applications in Python without having to care about servers or scaling."
Talk recorded at the Swiss Python Summit on February 16th, 2018.
Licensed as Creative Commons Attribution 4.0 International.
Sur cette page du site, vous pouvez voir la vidéo en ligne Peter Hoffmann – 12 Factor Apps for Data-Science with Python – SPS18 durée heure minute seconde en bonne qualité , qui a été Téléchargé par l'utilisateur Swiss Python Summit 02 mars 2018, Partagez le lien avec vos amis et connaissances, sur youtube cette vidéo a déjà été regardée 862 fois et il a aimé 7 téléspectateurs. Bon visionnage!