docker run \
-v /var/lib/unifi-video/:<YOUR DATA DIR> \
-v /var/log/unifi-video/:<YOUR LOG DIR> \
UNRAID – If you have issue with MongoDB continually restarting please check your data mapping. I have seen issues where user shares do not work correctly. Please try mapping direct to a single disk or to cache drive to ensure smooth operation.
i.e. instead of /mnt/user/usershare/nvr/data
use either /mnt/cache/usershare/nvr/data or /mnt/disk1/usershare/nvr/data
I have created a container for Unifi-Video NVR and storj. Yet to update documentation on Storj container.
I’m currently working on building containers for a news indexer, either newsnab or nzedb. There is another docker project called pynab which was an interesting idea, but seems to have gone stale over time. It used to be almost hands free indexer that ran reasonably efficiently. I’m hoping to re-create something similar soon.
Bye bye virtual machines and their inherent OS bloat. Docker and containerization is here…
The trick to containerization is picking the right workload (as with most things). Think about data, its state and where it lives and whether there are any benefits to running as a container.
Both Ubiquiti’s NVR and Plex’s media server software run’s some base application, this app within its own container then maps to data (which can exist outside the instance) that is consistent.
The fun continues when you can update a container (updating the running application), but keeping the data intact at another location. This can really help with version control etc where you can sometimes just point the new container at the data and turn off the old instance. Rollback? easy. Turn off new container and roll back to old.
Of course things are easier if you are running applications that do not change the data. Both NVR and Plex only index and capture new data (in consistant format), which makes moving between application versions much easier.
The nature of containerization means that the full power of the host is taken into regard. This is different to regular visualization where each guest is limited to the virtual hardware it is assigned. There are of course challenges where resource is congested, but this can also happen in the latter (cpu scheduling, under / over allocation of resources).
Availability also has to be built with containers in mind, with load balances and instances across multiple hosts.
Update : this site has now now been migrated from a VM to 2 x docker containers…. One for MySQL Backend and one for WordPress FrontEnd. Containers can be linked – so the WordPress container can access MySQL container via its own local port. Very cool.