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Automate deployment of monitoring tools

Project description

Monitoring automation project for Prometheus and ecosystem (in-progress)

One of the main problem that we face with microservices deployment is how to configure monitoring. With deployment being so dynamic its hard to make changes.

In this project we are trying to offload the management of monitoring. When a new project is added, user adds user_input.yaml and it will be picked up by CICD (in our case Jenkins).

Where will the monitoring be configured:

  • Prometheus
  • Blackbox
  • Elastalert
  • Pushgateway
  • Pagerduty
  • Email
  • Slack


  • Running Elastalert
  • Running Alertmanager
  • Running Prometheus Monitoring
  • Running Pushgateway
  • Pagerduty account
  • Slack account
  • Kafka/Zookeper (when we wrote this project, we had a requirement to cleanup Kafka/Zookeeper)


  • Docker image should have ssh keys to connect to git.

How to begin:

To create dummy data for testing:

verify if static-files directory exists:


mkdir -p $BASE_PATH/mauto/$DIR_NAME/demo-data/monitoring/static-files

verify if alertmanager config file exists:

mkdir -p $BASE_PATH/mauto/$DIR_NAME/demo-data/alertmanager
cp $BASE_PATH/mauto/data/demo-data/alertmanager/config.yaml $BASE_PATH/mauto/$DIR_NAME/demo-data/alertmanager/config.yaml

verify if prometheus config file exists:

mkdir -p $BASE_PATH/mauto/junk/demo-data/monitoring/
cp $BASE_PATH/mauto/data/demo-data/monitoring/config.yaml $BASE_PATH/mauto/junk/demo-data/monitoring/

verify .env file exists:

Copy the example.env and create a .env file

Update src/automation/config.yaml

How to use?

  • run pip install mauto
  • run muato for available options


  1. Trying to make it modular or plug and play type so new components can be added easily.

  2. I am using click to create python cli.

  3. Python 3.6 and above is required

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