MM-Flow Application

Local deployment instructions

One time setup

• Install Docker
• Install Docker Compose
• Install SQLite Database (Optional)
  sudo apt-get install sqlite3
• Install Nginx
  Edit server block in /conf/nginx.conf to configure Nginx

  listen       80;
  listen       [::]:80;
  server_name mmflow.mehtasanket-dev.in;
  location / {
      proxy_pass http://localhost:8080;
  }
  

• Install nodejs, npm

  curl -sL https://deb.nodesource.com/setup_6.x | sudo bash -
  sudo apt-get install -y nodejs
  sudo apt-get install -y npm
  

Start local instance

• Start Nginx: start nginx
• Run containers: ./local-run.sh

Access the site at http://mmflow.mehtasanket-dev.in/

---

Cloud deployment instructions

VM Creation

• Create new VM on GCP (Google cloud platform)
• sudo apt-get update
• VPC Network > External IP addresses

DNS route setup

• Cloud DNS > add record set > setup external IP address

Nginx proxy Setup

(https://www.linode.com/docs/web-servers/nginx/how-to-install-nginx-ubuntu-18-04/)

• sudo apt-install nginx
• vim /etc/nginx/sites-available/mehtasanket.in

  server {
      listen 80;
      server_name mmflow.mehtasanket.in;
      location / {
          proxy_pass "http://127.0.0.1:8080";
      }
  }
  server {
      listen 80;
      server_name mmflow-backend.mehtasanket.in;
      location / {
          proxy_pass "http://127.0.0.1:8090";
      }
  }
  

• sudo ln -s /etc/nginx/sites-available/mehtasanket.in /etc/nginx/sites-enabled/
• sudo nginx -t # To verify rules
• sudo nginx -s reload # To reload rules
• systemctl status nginx

Sqlite setup

(https://linuxhint.com/install_sqlite_browser_ubuntu_1804/)

• sudo apt-get install sqlite3

Project setup

• (One time) git clone https://github.com/mehtasankets/mmflow.git
• cd mmflow
• git pull
• (One time) cp prod-env.list-tmpl prod-env.list
• (One time) Edit prod-env.list to populate environment variables
• Run db query versions if any
• docker-compose down
• ./run.sh

Copy over file from oracle cloud to windows machine

Run following command on powershell

pscp -P 22 -scp -i C:\work\personal\OracleCloud\for-putty.ppk  ubuntu@<IP_ADDRESS>:/home/ubuntu/databases/expenses.csv .