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https://github.com/yonathanguez/to_do_8200ac

Fullstack Development Exercise
https://github.com/yonathanguez/to_do_8200ac

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Fullstack Development Exercise

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# to_do_8200AC



Devops/Fullstack Development Exercise

Training development : Nodejs / React / SQL

Training containerization: docker / docker-compose / Kubernetes



Docker-Compose (DEV and PROD) Full-Stack App ReactJS / NodeJS / PostgreSQL / Nginx :

In this project i build a simple website TODOLIST in ReactJS with a server Nodejs and Database PostgresSQL



I build some docker-compose for Development and Production

(I add in production a Proxy server Nginx and Database Mongodb in Backup )



## Environment:



Windows 10

Docker version 20.10.5

Docker Engine version: 19.03.5



## Test on docker-compose



### Install PRODUCTION PostgreSQL React Node Nginx and Backup MongoDB:



```

docker-compose -f docker-compose.prod.yml up

```



### Install DEVELOPMENT PostgreSQL React Node :



Save the file and run Docker Compose from the same directory:



```

docker-compose up -d

```



In this version we have Backend frontend and Postgress



### Check The WebSite :



With Chrome of other Browser:



```

http://IP_DOCKER:3000

```



Example with Windows 10 :

docker is configured to use the default machine with IP 192.168.99.100



```

http://192.168.99.100:3000

```



### Debug Container:



Check Log:



```

docker logs  -f

```



Stop Container:



```

docker stop  $(docker ps -a -q)

```



Delete all containers:



```

docker rm -f $(docker ps -a -q)

```



Remove all volume:



```

docker volume rm $(docker volume ls -q)

```



Build Test Dockerfile.prod only:



```

docker build -f Dockerfile.prod -t test .

```



Run Test Dockerfile.prod only:



```

docker run -d --name test1 -p 80:80 test

```



Enter in my container:



```

docker exec -it  mycron

```



## Dev: With Backup Mongodb :



For this step i think to export my data in CSV

and after that import the CSV to MONGODB



We need to build a cron for this step that will do it each minute



```

docker-compose -f docker-compose.dev.yml up

```



### Build Cron in Docker:



/backup:



```

docker build -t cron .

```



run and check logs in same time :



```

docker run -it --name cron cron

```



## Test Production with docker-compose



we use environment variable for nginx :



```

docker-compose -f docker-compose.prod.nginx.yml up

```



## Test Production with kubernetes:



### Deployment DataBase postgres :



For this example we will deploy a database with a volume in the local windows

so i did 2 volumes one for stock all database the second for give him the script for build the db automatic like database test (we do a clean db at each lifecycle )



#### 1) config volume in your local on windows:



line 31 you need to change the path were you want to put the db, for me i choose c:/tmp (this folder must be empty for beginning)



```

    path: '/run/desktop/mnt/host/c/tmp/'

```



line 60 you need to indicate where is you file ini/test-prod.sql project for build your db ,for me i choose C:\Users\YONATHAN\Desktop\projects\to_do_8200AC\init\test-prod.sql



```

 path: '/run/desktop/mnt/host/c/Users/YONATHAN/Desktop/projects/to_do_8200AC/init'

```



#### 2) Deploy:



```

kubectl apply -f ./server/postgres-deployment.yml

```



check if everything it s okay :



```

kubectl get all

kubectl logs pod/NAME_POD_POSTGRES

```



you can check also if you have some new folder in the c:/tmp



### Deployment server :



#### 1) before to deploy a put all my image in my private register local :



```

docker build -t localhost:5000/to_do_8200ac-todo-api:latest -f Dockerfile.prod .

```



push in register



```

docker push localhost:5000/to_do_8200ac-todo-api:latest

```



#### 2) deployment



```

kubectl apply -f ./server/deployment.yml

```



the api will connect to the db with the service build by the deployment postgres



You can check that with :



```

http://127.0.0.1:4000/api/client

```



result:

{"tasks":[],"status":"success","message":"all Tasks"}



### Deployment client :



#### 1) before to deploy a put all my image in my private register local :



```

docker build -t localhost:5000/to_do_8200ac-web-app:latest -f Dockerfile.prod .

```



push in register



```

docker push localhost:5000/to_do_8200ac-web-app:latest

```



#### 2) deployment



```

kubectl apply -f ./client/deployment.yml

```



the client will connect to the api with call of api/client (nginx do the proxypass to the api server) :



```

 location /api/client {

      proxy_pass          http://create-todo-api-service:4000;

      ...

```



we can check all the connection with playing on the site :

google:



```

http://127.0.0.1:31000/

```