Basic Installation

We use multiple approaches to getting conveyor running, the majority using Docker. Unless you really like doing things the hard way, or you have special hatred for Docker, we strongly recommend using one of the Docker installs to get yourself running.


Warning / Be aware / Notice / Look out / etc…
Running this in docker starts 3 containers, which is a lot. On your system, the default “max ram” for Docker may be too low. Please make sure Docker has a ram max of at least 4GB before using Conveyor (this is a known issue using Docker for Mac, and expected on Windows as well)

If you receive a message like conveyor_kibana_1 exited with code 137 then it means you need to give Docker more ram

Docker Installation

To get started

curl -L -O
cd conveyor-v1.4.0
docker-compose up

If all is going well, you should see some output like below:

[... LOTS building output ...]
Attaching to conveyor_elasticsearch_1, conveyor_node-red_1, conveyor_api_1, conveyor_kibana_1
[... Lots of log output ...]
kibana_1         | {"type":"log","@timestamp":"2017-10-09T21:10:48Z","tags":["status","plugin:elasticsearch@5.4.0","info"],"pid":1,"state":"green","message":"Status changed from yellow to green - Kibana index ready"

Once Kibana is green, you’re ready to go! Please note that Kibana can often take 3-5 minutes to startup.

Jump to http://localhost:5601 and enjoy Conveyor. Get started by creating your first channel