Monitoring_App_Docker_Flask_Task

• This repository is for Implementation of a flask Application that provides API’s to monitor the server’s status (disks, memorys, and cpu), the application is implemeted by using docker and python to create a custom image for that app.

How to run the application?

Run it using docker run

• Install the app image using this command

# docker run yaseenasaliya/flask_monitoring_app:v1

Run it using docker compose

• Create docker compose file start-program.yml

version: "3"
services:
  flask_monitoring_app:
    build: .
    container_name: monitoring_app
    ports:
      - "80:80"

• Run compose file in background

# docker compose -f start-program.yml up -d

How to use it?

• Go to localhost url

http://localhost

How it was pushed on Docker Hub?

• Build image localy with v1 tage

# docker build . -t yaseenasaliya/flask_monitoring_app:v1

• Login to docker hub using the this command

# docker login

• Push the image

# docker push yaseenasaliya/flask_monitoring_app:v1

Database Side

• Pull mariadb docker image

# docker pull mariadb

• Create docker compose file setup-database.yml with mariadb database image and create a new user yaseen and database called monitoring_app

version: "3"

services:
  db:
    image: mariadb
    container_name: my_db
    env_file: .env
    ports:
      - "3306:3306"

• Create .env file

MYSQL_ROOT_PASSWORD: root
MYSQL_DATABASE: monitoring_app
MYSQL_USER: yaseen
MYSQL_PASSWORD: yaseen

• Run a docker compose file

# docker compose -f setup-database.yml up -d

• To connect to the database

# mysql -P 3306 --protocol=tcp -u yaseen -pyaseen

Here are some photos for collected usage

• Disks usage
• Memory usage
• CPU usage