Lab for the DevOps Course, subject Monitoring. The lab will be used for installing Jupyter and a set of sample runbooks.
The purpose of this lab is to show how to use Jupyter Notebooks to create and execute Operational RunBooks in DevOps.
Project structure:
.
├── docker-compose.yml
├── jupyter
│ └── Dockerfile
├── data
└── runbooks
services:
jupyter:
build:
context: ./jupyter
ports:
- 8888:8888
...This compose file will create a Jupyter (jupyter) docker instance.
*** IMPORTANT NOTICE ***: Port 8888 on the host MUST NOT already in use.
Runbooks will be saved in "runbooks" directory.
In the repository, a Jupyterhub and a Direct Jupyter installation instructions are provided also, in case you prefer/need to follow those instead this docker instuction.
$ docker-compose build
Creating docker image "jupyter" ... done
...
$ docker-compose up -d
...
Creating volume "runbooks" with default driver
Creating jupyter ... done
$Listing containers must show two containers running and the port mapping as below:
$ docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
45e9b302d0f0 jupyter "jupyter -f ..." 11 seconds ago Up 10 seconds 0.0.0.0:8888->8888/tcp jupyter
$Execute the following command that get the token and URL link that is required to launch the envionment:
$ docker logs jupyter
... aplication can be found in the following ...
... http://127.0.0.1:8888/lab?token=xxxxxxxxxxxxxxxxxxxxxxxxxxxx ....
$If you are accesing directly only with "http://localhost:8888" , then a LOGIN page will be shown asking for the TOKEN that you must obtain in the previous sentence.
After started, some example runbooks can be accesed from inside the Jupyter Lab desktop in the "runbook" folder of this repository (by default)
Stop and remove the containers. Use -v to remove the volumes if looking to erase all data.
$ docker-compose down -v
$Note: Remember that when you open a noteboook, you must "Close and Halt" to stop the execution in the background of that notebook.
In the runbooks directory some examples notebooks have been deployed. All of them can be executed to see different jupyter notebook functionalities.
Jupyter Voilà is a Jupyter extension to provide Dashboard HTML capability. To test this functionality in this DevOpsLab then click in Voila icon inside any of the notebooks to see that the notebook is executed and an HTML with all the outputs is shown in a new window inside the lab interface.