code-small.jpg

 

Cake Team Blogs

Cake Solutions architects, implements and maintains modern and scalable software, which includes server-side, rich browser applications and mobile development. Alongside the software engineering and delivery, Cake Solutions provides mentoring and training services. Whatever scale of system you ask us to develop, we will deliver the entire solution, not just lines of code. We appreciate the importance of good testing, Continuous Integration and delivery, and DevOps. We motivate, mentor and guide entire teams through modern software engineering. This enables us to deliver not just software, but to transform the way organisations think about and execute software delivery.

 

 

This week in #DevOps (27/01/2015)

Posted by Laura Glasu

29/01/15 14:17

Welcome to the 7th edition of #ThisWeekInDevOps ! 

This blog aims to keep you up to date with the latest news from the world of DevOps.

Read More

Topics: DevOps, AWS, Docker, Rocket, Kubernetes, Weave, Azure, Security, Stack Exchange, Logstash, Google Container Registry, Kibana, Elasticsearch, Mesos-DNS

This week in #Scala (26/01/2015)

Posted by Petr Zapletal

26/01/15 09:00

Read More

Topics: Scala, Akka, Reactive

Lift: was that a tap?

Posted by Carl Pulley

26/01/15 08:38

In this post we demonstrate how machine learning (specifically SVMs) may be used to identify gesture events, such as taps, in data steams produced by accelerometers in devices such as Pebble watches.

We start by developing prototype classification models in R and then port those models into Scala.

Applying the trained SVM models to unseen data, we successfully demonstrate an ability to punctuate exercise sessions by identifying taps to tokenise those exercise steams into separate activity periods.

Read More

Topics: Scala, lift, Machine Classification, R

Exercise classification

Posted by Jan Machacek

23/01/15 09:07

In the next few posts, we will describe the journey of collecting (tagged) data, experimenting with potential classification models, and then finally implementing these models. It was revealing to experience the challenges of implementing truly reliable and near real-time analysis system in a world of unerliable networks and users who cannot tolerate interruptions.

We ended up performing principal component analysis on a type II DCT of the sensor data we receive: this then formed basis for the training set of a support vector machine. We have done the modelling in R, then exported the libsvm settings, and loaded this code in Scala, where we perform the classification on the incoming stream of data.

Read More

Topics: Akka, lift, Machine Classification

This week in #DevOps (20/01/2015)

Posted by Laura Glasu

22/01/15 14:43

Read More

Topics: DevOps, Jenkins, Spark, CICD, AWS, Docker, Kubernetes, StackStorm, Weave, Chef, Google Cloud Dataflow, Azure, Security

Puppet and Friends

Posted by Cornel Foltea

22/01/15 11:05

Read More

Topics: DevOps, Cloud, ruby, CloudFormation, Puppet, Configuration Management, Ansible, Hiera

This week in #Scala (19/01/2015)

Posted by Petr Zapletal

19/01/15 09:00

Read More

Topics: Scala, Akka, Reactive

This week in #DevOps (13/01/2015)

Posted by Laura Glasu

15/01/15 18:24

Read More

Topics: DevOps, Jenkins, Spark, AWS, CloudFormation, Docker, Puppet, Weave, Chef, Mesos, Crate, Quay.io, Google Compute Engine, Ansible, Consul

CloudFormation Best Practices

Posted by Laura Glasu

14/01/15 13:51

Read More

Topics: DevOps, Cloud, AWS, CloudFormation

This week in #Scala (12/01/2015)

Posted by Petr Zapletal

12/01/15 09:00

Read More

Topics: Scala, Akka, Spark, Reactive

Posts by Topic

see all

Subscribe to Email Updates




Videos

                                

Blog

                                

Case Studies


img24

Cake
Software

Find out more

img23

DevOps

Find out more

img24

Cake
Invest®

Find out more