Kubernetes Minikube #4 – R/RStudio Server with Tensorflow on (external) GPU
Data Science / DevOps / GPU / Kubernetes / Machine Learning / MLOps / R / tensorflow

Kubernetes Minikube #4 – R/RStudio Server with Tensorflow on (external) GPU

Introduction As a Data Scientist, I want to work on an RStudio Server image managed by Kubernetes with GPU capability. The motivation for doing this is that I can then access a machine learning rig that is 1) scale invariant (same from desktop to Cloud), 2) leverages Kubernetes for scheduling and 3) taps me into … Continue reading

SparkR with OpenShift
Data Science / DevOps / OpenShift / R

SparkR with OpenShift

Let’s set up a data science workbench on OpenShift (docker/kubernetes). The components will be an RStudio Server executing SparkR instructions to a remote Apache Spark instance, all hosted within a local OpenShift cluster instance. Examples include processing AWS S3 Bucket hosted data from Spark. So saddle up and ride ole’ Roxy all the way! This lab is another in … Continue reading

Jupyter and R with OpenShift
Data Science / DevOps / OpenShift

Jupyter and R with OpenShift

UPDATE – Visit SparkR with OpenShift for lastest r-notebook/OpenShift solution. – UPDATE The cool kids are using Jupyter notebooks. But we are going to step it up a notch by hosting an R-enabled Jupyter notebook on OpenShift. Max Bugger, may he rest-in-peace, will show you how. This lab is another in the OpenShift MiniLabs series. Objectives Let’s demonstrate hosting a … Continue reading

Drools Rules Rsynchronicity
Data Science / DevOps / Presales / Technology

Drools Rules Rsynchronicity

Overview This post continues experimenting with the sample application known as Weightwatcher to showcase a number of new technologies and techniques including: The all-in-one Vagrant image for OpenShift 3 The OpenShift Origin 3 oc rsync feature Drools 6.3.0.FINAL KIE Execution Server (Decision Server) A method for rule life cycle management with Containers Drools 6.3.0.FINAL The Drools KIE … Continue reading