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Demo app - developing with Docker

This app is orignally developed by Nana Janashia

docker

This demo app shows a simple user profile app set up using

  • index.html with pure js and css styles
  • nodejs backend with express module
  • mongodb for data storage

docker cycle

app deployment docker life cycle

All components are docker-based

Get Started With Docker

Step 1: Create docker network

docker network create mongo-network

Step 2: start mongodb

docker run -d \
-p 27017:27017 \
-e MONGO_INITDB_ROOT_USERNAME=admin \
-e MONGO_INITDB_ROOT_PASSWORD=password \
--name mongodb \
--net mongo-network \
mongo

Step 3: start mongo-express

docker run -d \
-p 8081:8081 \
-e ME_CONFIG_MONGODB_ADMINUSERNAME=admin \
-e ME_CONFIG_MONGODB_ADMINPASSWORD=password \
-e ME_CONFIG_MONGODB_SERVER=mongodb \
--net mongo-network \
--name mongo-express \
mongo-express

NOTE: creating docker-network in optional. You can start both containers in a default network. In this case, just emit --net flag in docker run command

Step 4: open mongo-express from browser

http://localhost:8081

Step 5: create user-account db and users collection in mongo-express

Step 6: Start your nodejs application locally - go to app directory of project

cd app
npm install 
node server.js

Step 7: Access you nodejs application UI from browser

With Docker Compose

Step 1: start mongodb and mongo-express

docker-compose -f docker-compose.yaml up

You can access the mongo-express under localhost:8080 from your browser

Step 2: in mongo-express UI - create a new database "my-db"

Step 3: in mongo-express UI - create a new collection "users" in the database "my-db"

Step 4: start node server

cd app
npm install
node server.js

Step 5: access the nodejs application from browser

http://localhost:3000

build a docker image from the application

docker build -t my-app:1.0 .

The dot "." at the end of the command denotes location of the Dockerfile.

add docker volumes

once you restart the container the data saved in the database will be dropped, in this case add docker volumes to keep the consistancy.

  • in the docker compose yaml file add the following to each image:
    volumes:
     - mongo-data:/data/db   //named volume --> :/pointing/to/phyiscal/path/in_the_local_machine

careful with the identation of the yaml file.

connect to private repo

will connect to AWS ECR (Elastic Container Registry):

Prerequisites:

To get the credientials, create an IAM user with the right premssion with programmatic access, and download the credientials csv file.

then run the following command in you terminal, and enter the corresponding info from the csv file you already downloaded in the step above.

aws configure

now, from aws website console create an ECR:

then push the image you built to the private repo:

Step 1 Retrieve an authentication token and authenticate your Docker client to your registry. Use the AWS CLI:

aws ecr get-login-password --region <closest region to you> | docker login --username AWS --password-stdin <aws will provide you with the repo endpoint>

Step 2 After the build completes, tag your image so you can push the image to this repository:

docker tag <app-name>:<version>  <repo end point/app-name:version>

Step Run the following command to push this image to your newly created AWS repository:

docker push <path or endpoint of the repo directory/image:version>

pull the image from the private repo to the production/dev/testing server

docker run <endpoint to the repo/image:version>

that easy, as you are pulling it to your local machine.