Slack group to talk around the packages #googleAuthRverse

Scalable Run multiple Docker containers at once, fits into event-driven, stateless serverless future

Version controlled No worries new package releases will break code

Flexible No need to ask IT to install R places, use docker run ; across cloud platforms; ascendent tech

Scale (almost) always starts with Docker containers

## make new Shiny template VM for your self-contained Shiny app

## Inner future_lapply() call loops over desired no. of iterations / no. of VMs

## Outer future_lapply() call loops over the no. of VMS

Thanks for Grant McDermott for figuring optimal method ( Issue #129 )

Can multi-layer future loops (use each CPU within each VM)

New in googleComputeEngineR v0.3 - shortcut that launches cluster, checks authentication for you

## Install packages from CRAN needed for your app

Can scale to a billion, and be available for other languages.

Set up a build trigger for the GitHub repo you commit the Dockerfile to:

And add any packages needed by model.

#' Plot out data from the ga_time_normalised ga_model

Make an API out of your script:

I thought I knew a bit about R and Google Cloud but then…

GoogleNext19 - Data Science at Scale with R on GCP A 40 mins talk at Google Next19 with lots of new things to try! https://www.youtube.com/watch?v=XpNVixSN-Mg&feature=youtu.be

New concepts Great video that goes more into Spark clusters, Jupyter notebooks, training using ML Engine and scaling using Seldon on Kubernetes that I haven’t tried yet

Some shots from the video

Google Cloud Platform - Serverless Pyramid