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  1. Blog
  2. Stéphane Graber

Stéphane Graber

Stéphane Graber

63 posts

Software Engineer

Stéphane Graber is the technical lead for LXD at Canonical Ltd. He is the upstream project leader of LXC and LXD and is deeply involved in the container world. Stéphane has been involved with Ubuntu for years and currently sits on the Ubuntu Technical Board and Ubuntu Developer Membership board. He is a member of the Ubuntu Release team as well as an Ubuntu Archive administrator and Ubuntu Stable Release team member. Outside of his work on containers, Stéphane also has very strong networking knowledge as the former maintainer of the Ubuntu networking stack and large scale system administration knowledge from previous jobs. Stéphane is one of the organizers of the Containers mini-summit during the Linux Plumbers Conference, a regular presenter at LinuxCon and has been involved in many other Ubuntu and container specific events and hackfests.


Stéphane Graber
7 December 2016

LXD 2.0: LXD and OpenStack [11/12]

Cloud and server Article

This is the eleventh blog post in this series about LXD 2.0. Introduction First of all, sorry for the delay. It took quite a long time before I finally managed to get all of this going. My first attempts were using devstack which ran into a number of issues that had to be resolved. Yet ...


Stéphane Graber
8 June 2016

LXD 2.0: LXD and Juju [10/12]

Cloud and server Article

Juju is Canonical’s service modeling and deployment tool. It supports a very wide range of cloud providers to make it easy for you to deploy any service you want on any cloud you want.On top of that, Juju 2.0 also includes support for LXD, both for local deployments, ideal for development and as a way to co-locate services on a cloud inst ...


Stéphane Graber
25 April 2016

LXD 2.0: Live migration [9/12]

Cloud and server Article

This is the ninth blog post in this series about LXD 2.0.IntroductionOne of the very exciting feature of LXD 2.0, albeit experimental, is the support for container checkpoint and restore.Simply put, checkpoint/restore means that the running container state can be serialized down to disk and then restored, either on the same host as a stat ...


Stéphane Graber
18 April 2016

Directly interacting with the LXD API

Cloud and server Article

The next post in the LXD series is currently blocked on a pending kernel fix, so I figured I’d do an out of series post on how to use the LXD API directly.Setting up the LXD daemonThe LXD REST API can be accessed over either a local Unix socket or over HTTPs. The protocol in both case is identical, the only difference being that the Unix ...


Stéphane Graber
15 April 2016

LXD 2.0: LXD in LXD [8/12]

Cloud and server Article

This is the eighth blog post in this series about LXD 2.0.IntroductionIn the previous post I covered how to run Docker inside LXD which is a good way to get access to the portfolio of application provided by Docker while running in the safety of the LXD environment.One use case I mentioned was offering a LXD container to your users and th ...


Stéphane Graber
13 April 2016

LXD 2.0: Docker in LXD [7/12]

Cloud and server Article

This is the seventh blog post in this series about LXD 2.0.Why run Docker inside LXDAs I briefly covered in the first post of this series, LXD’s focus is system containers. That is, we run a full unmodified Linux distribution inside our containers. LXD for all intent and purposes doesn’t care about the workload running in the container. I ...


Stéphane Graber
12 April 2016

LXD 2.0: Remote hosts and container migration [6/12]

Cloud and server Article

This is the sixth blog post in this series about LXD 2.0.Remote protocolsLXD 2.0 supports two protocols:LXD 1.0 API: That’s the REST API used between the clients and a LXD daemon as well as between LXD daemons when copying/moving images and containers.Simplestreams: The Simplestreams protocol is a read-only, image-only protocol used by bo ...


Stéphane Graber
1 April 2016

LXD 2.0: Image management [5/12]

Cloud and server Article

This is the fifth blog post in this series about LXD 2.0.Container imagesIf you’ve used LXC before, you probably remember those LXC “templates”, basically shell scripts that spit out a container filesystem and a bit of configuration.Most templates generate the filesystem by doing a full distribution bootstrapping on your local machine. Th ...


Stéphane Graber
30 March 2016

LXD 2.0: Resource control [4/12]

Cloud and server Article

This is the fourth blog post in this series about LXD 2.0.Available resource limitsLXD offers a variety of resource limits. Some of those are tied to the container itself, like memory quotas, CPU limits and I/O priorities. Some are tied to a particular device instead, like I/O bandwidth or disk usage limits.As with all LXD configuration, ...


Stéphane Graber
22 March 2016

LXD 2.0: Your first LXD container [3/12]

Cloud and server Article

This is the third blog post in this series about LXD 2.0.As there are a lot of commands involved with managing LXD containers, this post is rather long. If you’d instead prefer a quick step-by-step tour of those same commands, you can try our online demo instead!Creating and starting a new containerAs I mentioned in the previous posts, th ...


Stéphane Graber
16 March 2016

LXD 2.0: Installing and configuring LXD [2/12]

Cloud and server Article

This is the second blog post in this series about LXD 2.0.Where to get LXD and how to install itThere are many ways to get the latest and greatest LXD. We recommend you use LXD with the latest LXC and Linux kernel to benefit from all its features but we try to degrade gracefully where possible to support older Linux distributions.The Ubun ...


Stéphane Graber
14 March 2016

LXD 2.0: Introduction to LXD

Cloud and server Article

This is the first blog post in this series about LXD 2.0.A few common questions about LXDWhat’s LXD?At its simplest, LXD is a daemon which provides a REST API to drive LXC containers.Its main goal is to provide a user experience that’s similar to that of virtual machines but using Linux containers rather than hardware virtualization. How ...