Tengu Team Limeds Installable

Channel Version Revision Published Runs on
latest/stable 1 1 19 Mar 2021
Ubuntu 16.04
juju deploy tengu-team-limeds-installable
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You will need Juju 2.9 to be able to run this command. Learn how to upgrade to Juju 2.9.




Plugin for LimeDS that deploys an installable and creates a segment. Read more

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LimeDS installable

This Charm adds an installable to LimeDS and creates a segment that you can use in your slices. For more installables: https://bitbucket.org/ibcndevs/limeds-framework/wiki/Home#Modules


# Deploy the LimeDS bundle
juju deploy cs:~tengu-team/limeds-core
# Deploy the LimeDS installable plugin
juju deploy cs:~tengu-tean/limeds-installable

# Expose the Docker container where LimeDS is running
juju expose docker

Watch it being deployed using watch -c juju status --color (close using ctrl-c).

App          Version  Status  Scale  Charm        Store       Rev  OS      Notes
docker                   active       1  docker          jujucharms    3  ubuntu  exposed
limeds                   active       1  limeds          local         1  ubuntu
limeds-mongodb           active       1  limeds-mongodb  local         1  ubuntu
mongodb                  unknown      1  mongodb         jujucharms   37  ubuntu

Unit                 Workload  Agent      Machine  Public address  Ports                                    Message
docker/0*            active    idle       38   32768/tcp                                Ready
limeds/0*            active    idle       38                                            Ready (ibcndevs/limeds)
  limeds-installable/0* active idle                                                  Ready (MyInstallable)
mongodb/0*           unknown   idle       39  27017/tcp,27019/tcp,27021/tcp,28017/tcp

After deployment, go to http://<docker-url>:<docker-port>/editor and import the segment to your slice.

Contact Information


This software was created in the IDLab research group of Ghent University in Belgium. This software is used in Tengu, a project that aims to make experimenting with data frameworks and tools as easy as possible.