Prototype (dockerized) application to demonstrate dynamically configuring an application based on configs obtained from Apache Zookeeper. Currently it's a test of how to dynamically configure Traptors as they are scaled.

• Python 3.5.2
• Docker
• Docker-Compose

Get the code:

• git clone git@github.com:rdempsey/zookeeper-testing.git
• cd zookeeper-testing

Create a new Python virtual environment and then install all of the requirements so you can run the Zookeeper scripts:

pip install -r requirements.txt

Next fire up all things Docker:

• docker login if you aren't already logged into docker hub.
• docker-compose down if you have any previous containers running.
• docker-compose up --build -d to build everything
• docker ps to check if everything is running. Give it about 10-15 seconds and then...

Once all of the Docker containers are operational, add the base configuration to Zookeeper by running the following:

python zk_add_base_config.py

Note: if you ever need to recreate the base config you'll need to remove all existing configs first.

First rename twitter_creds_example.yml to twitter_creds.yml and add your configs to the file.

Next, load the Traptor configs into Zookeeper by running the following:

python zk_add_configs.py

Note: running zk_add_configs.py multiple times will overwrite the current settings although the base configuration will remain untouched.

Visit Kibana at the following url:

http://localhost:5601/app/kibana#/discover

You will need to create an index pattern. Use logs-* for that and timestamp for the timestamp field. Once that is created click on the Discover tab and turn on auto-refresh.

• Add tests