Almost two years have passed since my first attempt to run Ceph inside Docker. Time has elapsed and I haven’t really got the time to resume this work until recently. For the last couple of months, I have been devoting a third part of my time to contributing on deploying Ceph in Docker. Before we start, I would like to highlight that nothing of this work would have been possible without the help of Seán C. McCord. Indeed the current ceph-docker repository is based on Seán’s initial work. Let’s see how you can get this running!





Rationale

Running Ceph inside Docker is a bit controversial and many people might believe that there is no point doing this. Where it is not really a problem for Monitors, Metadata Server and Rados Gateway to be containerized things get tricky when it comes to the OSDs. The Ceph OSD is really tighten to the machine it runs on, having such strong relationship with the hardware is not something common for all the softwares. Given that the OSD can not work if the disk that it relies on die is a bit of an issue in this container world.

To be honest at some point, I was thinking this:

I don’t know why am I doing this. I just know that people out there want it (and yes they probably don’t know why). I can feel it’s important to do it anyway, so let’s do it.

This does not sound really optimistic I know, but it’s somehow the truth. My vision has slightly changed though, so for what it’s worth let me explain why. We will see if you will change your mind as well. And yes my explanation will be more than: Docker is fancy, so let’s Dockerize everything.

People have started investing a lot of engineering efforts to run containerized softwares on their platforms. Thus they have been using various tools to build and orchestrate their environment. And I won’t be surprised to see Kubernetes being the orchestration tool for this matter. Some people also love to run bleeding edge technologies on production as they might find other things boring (right Seán?). So with the containerize everything approach, they will be happy that something is happening on their favorite open source storage solution :).

Where with yum or apt-get it is not easy to rollback, this is different with containers. Upgrades and rollback are made easier, as you can easily docker stop and docker run a new version of your daemons. You can also potentially run different clusters on an isolated fashion on the same machine. This makes development ideal.





The project

As mentioned, everything started from Seán C. McCord work and we iterated around his work together. Currently if you use ceph-docker you will be able to run every single Ceph daemon either on Ubuntu or CentOS. We have a lot of images available on Docker Hub. We have the Ceph namespace, so our images are prefixed as ceph/<daemon> . We use automated builds, as a result everytime we merge a new patch and new build gets triggered and produces a new version of the container image. As we are currently in a refactoring process, you will see that a lot of images are available. Historically we had (and we still do until we merge this patch) one image per daemon. So one container image for monitor, osd, mds and radosgw. This is not really ideal and in practice not needed. This is why we worked on a single container image called daemon . This image contains all the Ceph daemons and you activate the one you want with a parameter while invoking the docker run command. That being said, if you want to start I encourage you to directly use the ceph/daemon image. I will show example in the next section on how to run it.





Containerize Ceph

Monitors

Given that monitors can not communicate through a NATed network we need to use the --net=host to expose Docker’s host machine network stack:

$ sudo docker run -d --net=host \

-v /etc/ceph:/etc/ceph \

-v /var/lib/ceph/:/var/lib/ceph \

-e MON_IP=192.168.0.20 \

-e CEPH_PUBLIC_NETWORK=192.168.0.0/24 \

ceph/daemon mon



List of available options:

MON_IP is the IP address of your host running Docker

is the IP address of your host running Docker MON_NAME is the name of your monitor (DEFAULT: $(hostname))

is the name of your monitor (DEFAULT: $(hostname)) CEPH_PUBLIC_NETWORK is the CIDR of the host running Docker, it should be in the same network as the MON_IP

is the CIDR of the host running Docker, it should be in the same network as the CEPH_CLUSTER_NETWORK is the CIDR of a secondary interface of the host running Docker. Used for the OSD replication traffic.





Object Storage Daemon

The current implementation allows you to run a single OSD process per container Following the microservice mindset we should not run more than one service inside our container. In our case, running multiple OSD processes into a single container breaks this rule and will likely introduce undesirable behaviours. This will also increase the setup and maintenance complexity of the solution.

In this configuration, the usage of --privileged=true is strictly required because we need a full access to /dev/ and other kernel functions. However, we support another configuration based on simply exposing OSD directories, where the operators will do the appropriate preparation of the devices. Then he/she will simply expose the OSD directory and populating ( ceph-osd mkfs ) the OSD will be done by the entrypoint. The configuration I’m presenting now is easier to start with because you only need to specify a block device and the entrypoint will do the rest.

For those who do not want to use --privileged=true , please fall back on the second example.

$ sudo docker run -d --net=host \

--privileged= true \

-v /etc/ceph:/etc/ceph \

-v /var/lib/ceph/:/var/lib/ceph \

-v /dev/:/dev/ \

-e OSD_DEVICE=/dev/vdd \

ceph-daemon osd_ceph_disk



If you don’t want to use --privileged=true you can always prepare the OSD by yourself with the help of your configuration management of your choice.

Example without a privileged mode, in this example we assume that you partitioned, put a filesystem and mounted the OSD partition. To create your OSDs simply run the following command:

$ sudo docker exec <mon-container-id> ceph osd create.



Then run your container like so:

$ sudo docker run -v /osds/1:/var/lib/ceph/osd/ceph-1 -v /osds/2:/var/lib/ceph/osd/ceph-2



$ sudo docker run -d --net=host \

-v /etc/ceph:/etc/ceph \

-v /var/lib/ceph/:/var/lib/ceph \

-v /osds/1:/var/lib/ceph/osd/ceph-1 \

ceph-daemon osd_disk_directory



List of available options:

OSD_DEVICE is the OSD device, ie: /dev/sdb

is the OSD device, ie: OSD_JOURNAL is the device that will be used to store the OSD’s journal, ie: /dev/sdz

is the device that will be used to store the OSD’s journal, ie: HOSTNAME is the hostname of the hostname of the container where the OSD runs (DEFAULT: $(hostname))

is the hostname of the hostname of the container where the OSD runs (DEFAULT: $(hostname)) OSD_FORCE_ZAP will force zapping the content of the given device (DEFAULT: 0 and 1 to force it)

will force zapping the content of the given device (DEFAULT: 0 and 1 to force it) OSD_JOURNAL_SIZE is the size of the OSD journal (DEFAULT: 100)





Metadata Server

This one is pretty straighforward and easy to bootstrap. The only caviat at the moment is that we require the Ceph admin key to be available in the Docker. This key will be used to create the CephFS pools and the filesystem.

If you run an old version of Ceph (prior to 0.87) you don’t need this, but you will likely do since it is always better to run the last version!

$ sudo docker run -d --net=host \

-v /var/lib/ceph/:/var/lib/ceph \

-v /etc/ceph:/etc/ceph \

-e CEPHFS_CREATE=1 \

ceph-daemon mds



List of available options:

MDS_NAME is the name of the Metadata server (DEFAULT: mds-$(hostname))

is the name of the Metadata server (DEFAULT: mds-$(hostname)) CEPHFS_CREATE will create a filesystem for your Metadata server (DEFAULT: 0 and 1 to enable it)

will create a filesystem for your Metadata server (DEFAULT: 0 and 1 to enable it) CEPHFS_NAME is the name of the Metadata filesystem (DEFAULT: cephfs)

is the name of the Metadata filesystem (DEFAULT: cephfs) CEPHFS_DATA_POOL is the name of the data pool for the Metadata Server (DEFAULT: cephfs_data)

is the name of the data pool for the Metadata Server (DEFAULT: cephfs_data) CEPHFS_DATA_POOL_PG is the number of placement groups for the data pool (DEFAULT: 8)

is the number of placement groups for the data pool (DEFAULT: 8) CEPHFS_DATA_POOL is the name of the metadata pool for the Metadata Server (DEFAULT: cephfs_metadata)

is the name of the metadata pool for the Metadata Server (DEFAULT: cephfs_metadata) CEPHFS_METADATA_POOL_PG is the number of placement groups for the metadata pool (DEFAULT: 8)





Rados Gateway

For the Rados Gateway, we deploy it with civetweb enabled by default. However it is possible to use different CGI frontends by simply giving remote address and port.

$ sudo docker run -d --net=host \

-v /var/lib/ceph/:/var/lib/ceph \

-v /etc/ceph:/etc/ceph \

ceph-daemon rgw



List of available options:

RGW_REMOTE_CGI defines if you use the embedded webserver of Rados Gateway or not (DEFAULT: 0 and 1 to disable it)

defines if you use the embedded webserver of Rados Gateway or not (DEFAULT: 0 and 1 to disable it) RGW_REMOTE_CGI_HOST is the remote host running a CGI process

is the remote host running a CGI process RGW_REMOTE_CGI_PORT is the remote port of the host running a CGI process

is the remote port of the host running a CGI process RGW_CIVETWEB_PORT is the listenning port of civetweb (DEFAULT: 80)

is the listenning port of civetweb (DEFAULT: 80) RGW_NAME is the name of the Rados Gateway instance (DEFAULT: $(hostname))





Further work

Configuration store backends

By default, the ceph.conf and all the ceph keys are generated during the initial monitor bootstrap. This process assumes that to extand your cluster to multiple nodes you have to distribute these configurations across all the nodes. This is not really flexible and we want to improve this. One thing that I will propose soon is to use Ansible to generate the configuration/keys and to distribute them on all the machines.

Alternatively, we want to be able to store various configuration files on different backends kv store like etcd and consul.





Orchestrate the deployment

A very first step is to use ceph-ansible where the logic is already implemented. I just need to push some changes, but most of the work is already present.

Kubernetes, a preview on how to bootstrap monitors is already available.





Extending to Rocket and beyond

There is not much to do here as you can simply port your Docker images into Rocket and launch them (pun intented here).





Bonus video

A video demo is available:



