Fun with OpenShift
I’ve been playing around with OpenShift for the past hour. More specifically OpenShift Express which allows you to quickly develop apps Java, Ruby, PHP, Perl and Python and run them in the ‘Cloud’. As...
View ArticleCoffee instead of snakes – Openshift fun (2)
In my last post I demoed how OpenShift can be used to deploy WSGI based Python application. But since OpenShift also supports other languages including Java I wanted to give it a shot. So I developed a...
View ArticleSmartStack = SmartOS + OpenStack (Part 1)
[Update] – The first shot didn’t work – so I updated this post! This is the first post of hopefully a series of post about getting OpenStack up and running on SmartOS. There is a blueprint for this...
View ArticleSmartStack = SmartOS + OpenStack (Part 2)
This is the second post in this series. Part 1 can be found here. After setting up nova on SmartOS you should be able to launch the nova-compute service – Andy actually managed to get the nova-compute...
View ArticleSmartStack = SmartOS + OpenStack (Part 3)
This is the third part os the blog post series. Previous parts can be found here: 1 2 To ensure the proper startup of nova-compute we will register it using SMF – this will also increase the...
View ArticleClik here to view.
Python DTrace consumer on SmartOS
As mentioned in previous blog posts (1 2 3) I wrote a Python DTrace consumer a while ago. The cool thing is that you can now trace Python (as provider) and consumer the ‘aggregate’ in Python (as...
View ArticleClik here to view.
Python DTrace consumer meets the web
I had look at my Python DTrace consumer yesterday night and realized it need a bit an overhaul. I already demoed that you can make some visualization with it – like life updating callgraphs etc. Still...
View ArticleClik here to view.
Python DTrace consumer and AMQP
This blog post will lead through an very simple example to show how you can use the Python DTrace consumer and AMQP. The scenario for this example is pretty simple – let’s say you want to trace data on...
View ArticleClik here to view.
Web based DTrace Mini-IDE
In previous blogposts I already demoed what a Python based DTrace consumer can be used for: live inspection (callgraphs) of running programs, nice Visualizations or just plain tracing. Especially with...
View ArticleClik here to view.
Learning application behavior
I have been working for a while now on bringing together some very interesting topics. Machine learning/data analysis tools and the platform I like: SmartOS with it’s great DTrace tooling. This is a...
View ArticleClik here to view.
Learn Service Behaviour
This started off as just an idea in my head a while ago and soon become my Master thesis. The idea is to apply Machine Learning/Data Analysis methodologies to Data derived from tools such as DTrace....
View ArticleClik here to view.
Analytics as a Service
With this blog post I try to summarize some key concepts/definitions of something called an Analytics-as-a-Service (AaaS). The AaaS – named Suricate – described in this post , was developed as part of...
View ArticleClik here to view.
Peyton’s favorite WR in week 1 (Analytics-as-a-Service)
A few line lines of Python code, a big CSV file, some help of Python Pandas, Suricate and about 20 minutes is all it takes to answer the following Question: Who was Peyton Manning’s favorite receiver...
View ArticleClik here to view.
Peyton’s favorite WO (Analytics-as-a-Service)
Again a little excerpt on stuff you can do with the help of Suricate. Again we’ll look at play-by-play statistics. So no information on which play was performed, but just the outcomes of the plays....
View ArticleClik here to view.
Live football game analysis
Note: I’m talking about American Football here In previous posts I already showed how game statistics can be used to automatically which Wide receiver is the Qb’s favorite on which play, down and field...
View ArticleClik here to view.
Running a distributed native-cloud python app on a CoreOS cluster
Suricate is an open source Data Science platform. As it is architected to be a native-cloud app, it is composed into multiple parts: a web frontend (which can be load-balanced) execution nodes which...
View ArticleClik here to view.
American Football Game Analysis
I’ve been coaching American Football for a while now and it is a blast standing on the sideline during game day. The not so “funny” part of coaching however – especially as Defense Coordinator – is the...
View ArticleClik here to view.
Graph stitching
Graph stitching describes a way to merge two graphs by adding relationships/edges between them. To determine which edges to add, a notion of node types is used (based on node naming would be easy :-))....
View ArticleClik here to view.
Autopiloting the data center
Orchestration and Scheduling are not the newest topics, in fact they have been used in distributed systems forever (as in a couple of decades :-)). Systems like Mesos and Kubernetes (or offerings like...
View ArticleClik here to view.
A data center resource and service landscape
Telemetry and Monitoring system give a great visibility into what is going on with the resources and services in a data center. Applying machine learning and statistical analysis to this massive data...
View Article