Is it a good idea to run Cassandra inside an LXC or Docker, in production?

I know it runs just fine, so it’s ok for development which is great, but won’t it have considerably worse disk and/or network IO performance because of AuFS ?

  • Docker: Error processing tar file(exit status 1): Error setting up pivot dir: not a directory
  • client access to docker swarm
  • Cannot run 5 from docker
  • docker instance of masterless salt showing folders of my system
  • Postgres with Kubernetes and persistentDisk
  • Docker + supervisord: how to initialize services (mongo & elasticmq)?
  • tar: Cannot read: Is a directory in docker
  • How can I change docker image configurations?
  • Docker: Different ENV variables for development and production environments
  • Port forwarding with Elastic docker image
  • Unable to ssh localhost within a running Docker container
  • How to monitor java application memory usage in Docker
  • 3 Solutions collect form web for “Is it a good idea to run Cassandra inside an LXC or Docker, in production?”

    If you put Cassandra data on a volume, disk I/O performance will be exactly the same as outside of containers, since AUFS will be bypassed entirely.

    And even if you don’t use a volume, performance will be fine as long as you don’t commit Cassandra data into a new image to run that image later. And even if you do that, performance will be affected only during the first writes on each file; after that, it will be native.

    You will not see any different in Network I/O performance, unless your containers are dealing with 100s of Mb/s of network traffic and/or 1000s of connections per second. In that case, you can use tools like Pipework to assign MAC VLAN interfaces or even native physical interfaces to your containers.

    We are actually running Cassandra in Docker in production and have had to work through a lot of performance issues.

    Networking: you should this as –net=host to use the host networking. Otherwise you will take a substantial hit to your network speeds. See this article for more information on recommend best practices.

    Data volume: you should expose your data volume to the physical host. If you’re operating in the cloud note that where you place your data volume may limit your iops.

    JVM: just because you run Cassandra in a container doesn’t mean you can get away from tuning your jvm. You still need to modify it to account for the system resources on the host machine.

    Cluster Name/Seeds: these need to be configured and need to be changed from hard coded values to find and replace with environment variables using sed.

    The big take away is that like any software you need to do some configuration. It’s not 100% plug and play.

    Looking into the same thing, Just found this on slideshare:

    “Docker uses Linux Ethernet Bridges for basic software routing. This will hose your network throughput. (50% hit)
    Use the host network stack instead (10% hit)”

    Docker will be the best open platform for developers and sysadmins to build, ship, and run distributed applications.