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  1. Blog
  2. Samuel Cozannet
Samuel Cozannet

Samuel Cozannet

11 posts

Big Data Strategic Program Manager

Samuel Cozannet is a Strategic Program Manager at Canonical, the company behind Ubuntu. He has a passion for DevOps and believes technology can make the world a better place. In his free time you will find Samuel hanging out in Barcelona or maybe just happily hacking his new Ubuntu Snappy devices.

Samuel Cozannet
19 April 2017

How we commoditised GPUs for Kubernetes

Cloud and server Article

[Edit 2017-04-20] A careful reader informed me (thanks for that HN user puzzle) that it is no longer required to run in privileged mode to access the GPUs in K8s. I therefore removed a note that previously stated this requirement, and am in the process of updating my Helm charts to remove it as well ...

Samuel Cozannet
27 March 2017

Job concurrency in Kubernetes: LXD and CPU pinning to the rescue

Ubuntu Article

A few days ago, someone shared with me a project to run video transcoding jobs in Kubernetes. During her tests, made on a default Kubernetes installation on bare metal servers with 40 cores & 512GB RAM, she allocated 5 full CPU cores to each of the transcoding pods, then scaled up to 6 concurrent tasks ...

Samuel Cozannet
9 March 2017

GPUs and Kubernetes for deep learning — Part 3/3: Automating Tensorflow

Cloud and server Article

Here we are. After having spent 21min reading how to build a GPU Kubernetes cluster on AWS, 7min on adding EFS storage, you want to get to the real thing, which is actually DO something with it. So today we are going to define, design, deploy and operate a Deep Learning pipeline. So what is ...

Samuel Cozannet
7 March 2017

GPUs and Kubernetes for deep learning — Part 2/3: Adding storage

Cloud and server Article

Earlier this week we built a GPU cluster and installed Kubernetes so that we can do some advanced data processing. What is the thing you need next right after you have GPUs? Data. Data. and Data. And technically, if you looked at any of the tutorials for Tensorflow or the recent PaddlePaddle blog posts, you’ll ...

Samuel Cozannet
15 February 2017

GPUs and Kubernetes for deep learning — Part 1/3

Cloud and server Article

A few weeks ago I shared a side project about Building a DYI GPU cluster for k8s to play with Kubernetes with a proper ROI vs. AWS g2 instances. This was spectacularly interesting when AWS was lagging behind with old nVidia K20s cards (which are not supported anymore on the latest drivers). But with the ...

Samuel Cozannet
8 February 2017

Automate the deployment of Kubernetes in existing AWS infrastructure

Cloud and server Article

When I talk about Ubuntu and Kubernetes, and how we deploy the latter at Canonical using Juju, the main question I get is: Can you deploy in an existing infrastructure? Often, existing infrastructure means the VPC and/or subnets that I have been allocated to do my work on AWS. What is better than a little ...

Samuel Cozannet
30 January 2017

Installing a DIY bare metal GPU cluster for Kubernetes

Cloud and server Article

I don’t know if you have ever seen one of the Orange Boxes from Canonical These are really sleek machines. They contain 10 Intel NUCs, plus an 11th one for the management. They are used as a demonstration tool for big software stacks such as OpenStack, Hadoop, and, of course, Kubernetes. They are freely available ...

Samuel Cozannet
25 April 2016

Making deep learning accessible on Openstack

Cloud and server Article

This week at the Openstack Developers Summit we are excited to showcase how Canonical with IBM, Mesosphere, Skymind and Data Fellas are working together to make the opportunities of deep learning easier for everyone to access. Deep learning is a completely new way of building applications. These applications, built around neuronet models ...

Samuel Cozannet
18 November 2015

Help Meteorite BI’s Saiku Reporting become even more awesome!

Cloud and server Article

Our friends over at Meteorite BI are progressing along their path to bring Saiku Reporting to as many users as possible. One of their core targets is to get it integrated into Saiku 4 Core and onto Canonical’s Juju service modelling platform as soon as possible. Now, they need our help to make this happen. Coming ...

Samuel Cozannet
7 May 2015

Universal Modeling Language for Service-Oriented Architectures: Part 2

Cloud and server Article

In the first part of this two part blog we looked at why Canonical believes a new language is needed for modeling modern applications in the cloud. In this second blog we will apply these high-level concepts to build a modular and scalable sentiment analysis application with Juju, using components such as Kafka, ZooKeeper, Storm ...

Samuel Cozannet
6 May 2015

Universal Modeling Language for Service-Oriented Architectures: Part 1

Cloud and server Article

Over the last 20 years, applications have moved from a monolithic mainframe perspective to a scale out vision. However, during this time the representation of applications hasn’t changed that much. This has led to major inefficiencies in their design. In the first part of this two part blog, I will explain why Canonical believes that ...