Overview

This is demonstration project where Raspberry PI sends temperature and humidity data read from connected sensor to InfluxDB database running in Azure cloud. The data can be viewed using Grafana GUI.

InfluxDB and Grafana are installed in Docker containers in CentOS based VMs and pre-configured with the required database and dashboards.

Information about the used sensor: https://learn.adafruit.com/dht-humidity-sensing-on-raspberry-pi-with-gdocs-logging/software-install-updated

Python script to be executed as cron task in Raspberry is in scripts directory. The installation of script and drivers on Raspberry side is not included in Ansible automation.

Preconditions

In CentOS or Fedora client, install pip:

sudo yum install epel-release -y
sudo yum install python-pip -y

Install Ansible:

sudo pip install ansible

Install python module "azure":

sudo pip install ansible[azure]

Alternatively you can use ready-made container https://github.com/jurajama/OS_ansible_client where the required tools are installed by default.

Make sure that your private key is loaded in SSH-agent and agent forwarding is enabled in your SSH session.

Deployment steps

• Clone git repo:

git clone https://github.com/jurajama/TempMonitor
cd TempMonitor

• Modify personal_config.yml in group_vars/all with your own settings:

  • az_ssh_public_key shall be your public SSH key
  • az_admin_username is the bootstrap user created in VM. It needs to be the same as the user in the host where you run Ansible, or if not then you shall modify hosts file so that you define ansible_user=yourusername for host dbserver.

• Update external roles:

./update_roles.bash

Source azure credentials, that is environment variables:

export AZURE_SUBSCRIPTION_ID=xxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
export AZURE_CLIENT_ID=xxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
export AZURE_SECRET=xxxxxxxx
export AZURE_TENANT=xxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx

See more information in https://docs.ansible.com/ansible/2.9/scenario_guides/guide_azure.html

• Run playbook

ansible-playbook config-dbserver.yml

After successful execution you can find the public IP of the created VM from Ansible console outputs or from Azure Portal. Grafana GUI should be accessible via http://public_ip:3000

Uninstallation

Remove all resources by deleting the Resource Group via Azure Portal.