GithubHelp home page GithubHelp logo

harsimarsingh8 / linux_server_configuration Goto Github PK

View Code? Open in Web Editor NEW
0.0 1.0 0.0 6 KB

In this project we are configuring linux server by live hosting Item catalog Project on Amazon Lightsail with server side security implemented manually.

Python 100.00%
linux wsgi ssh-port ssh-server ufw flask-application flask-sqlalchemy amazon-lightsail apache2 python pep8

linux_server_configuration's Introduction

Linux Server Configuration

Harsimar Singh



About

This is the sixth project for the Udacity Full Stack Nanodegree and involves how to access, secure, and perform the initial configuration of a bare-bones Linux server by a baseline installation of a Linux distribution on a virtual machine and prepare it to host web applications, to include installing updates, securing it from a number of attack vectors and installing/configuring web and database servers.

Why this Project?

A deep understanding of exactly what web applications are doing, how they are hosted, and the interactions between multiple systems are. This project, turns a brand-new, bare bones, Linux server into the secure and efficient web application host that a Data Driven Web Applications Needs. In short it includes all the steps that are required to be a full stack developer.

Server details for hosting applications

In this we will be configuring a linux server

Setting up

This project uses Amazon Lightsail to create a Linux server instance.

You need to have a amazon aws account if not then create a one and we have 12 months free access to aws services.

  1. Get your server.

    • Start a new Ubuntu Linux server instance on Amazon Lightsail.

      • Log in!
      • Create an instance
      • Choose an instance image: Ubuntu (OS only)
      • Choose your instance plan (lowest tier is fine)
      • Give your instance a hostname
      • Wait for startup
      • Once the instance has started up, follow the instructions provided to SSH into your server.

Following are the Steps to Configure Linux server

1. Create (IDLE)Development Environment Instance.

2. Virtual Machine is launched and for login we use SSH into the server.

  • Move private key file into the desired folder.
  • we have our key in aws.pem file (the following file is in the given folder)
  • we store it in aws.ppk which we get while installing our instance
  • and instead of ssh agin and again we had added the aws.ppk file in ssh/auth folder
  • then save it on required port and save it and load it .
  • to login into ubuntu we just double click the name we added while loading the hostname(public IP) we got while
    making an instance on required port.

Prerequisite

  • for linux users:

they can go with their linux CLI

  • for windows users:

they need to install putty for running below commands

Putty

PuTTY is a free and open-source terminal emulator, serial console and network file transfer application. It supports several network protocols, including SCP, SSH, Telnet, rlogin, and raw socket connection. It can also connect to a serial port.

How To Run

I decided to start the project by the ufw configuration. Hence, if I got blocked out from the server, it would happen in the very beginning.

Configure the Uncomplicated Firewall (UFW)

  $ sudo ufw default deny incoming
  $ sudo ufw default allow outgoing
  $ sudo ufw allow 2200/tcp
  $ sudo ufw allow www
  $ sudo ufw allow ntp
  $ sudo ufw enable

we need to take care of server by securing it.

  • Update all currently installed packages.

          sudo apt-get update
          sudo apt-get upgrade
          
      auto upgrades run
           sudo apt-get install unattended-upgrades
    

we now need to have all the dependencies and modules installed to run our project that we used in our project

  • following are the two methods to install dependencies
  1. Write all the following commands:
  • sudo apt-get install apache2 libapache2-mod-wsgi git
  • Enable mod_wsgi: sudo a2enmod wsgi
  • sudo apt-get install libpq-dev python-dev
  • sudo apt-get install postgresql postgresql-contrib
  • sudo apt-get install python-pip
  • sudo pip install Flask
  • sudo pip install httplib2 oauth2client sqlalchemy psycopg2 sqlalchemy_utils
  • sudo pip install requests
  1. We can also write all the dependencies in .txt file with names and version and then use the following command to install them at once instead of typing manually
  • pip install -r requirements.txt

Change SSH port from 22 to 2200

Edit the file /etc/ssh/sshd_config by(sudo nano /etc/ssh/sshd_config) and change the line Port 22 to:

Port 2200

Blocking the connection to port 22

Getting Started with UFW

ufw deny 22

To check that the rules have changed:

sudo ufw show added

Then restart the SSH service:

sudo service ssh restart Now when the port 22 is closed I always need to SSH to my instance as a remote user.

Change timezone to UTC.

  • Check the timezone with the date command. This will display the current timezone after the time. If it's not UTC change it like this:
  $ sudo timedatectl set-timezone UTC

Grader access.

we have grader which need to be logged in to server by a user for project to be reviewed.

  • Create a new user account named grader.

          sudo adduser grader
    
  • Give grader the permission to sudo.

          sudo nano /etc/sudoers.d/grader
      add text `grader ALL=(ALL) NOPASSWD:ALL`
      do ctrl+x to save it then type y
    
  • Create an SSH key pair for grader using the ssh-keygen tool.

              ssh-keygen -t rsa
              
          To login
              ssh -i .ssh/grader_udacity [email protected] -p 220
    
                   or 
    
           simply just double click the session created on required port
           and unique ip addres and you get prompt with login as write
           (grader)        
    

Generating encryption key pair

  • We did this by just adding aws.ppk file as mentioned above

Set-up SSH keys for user grader and installing public keys

As root user do:

mkdir /home/grader/.ssh
chown grader:grader /home/grader/.ssh
chmod 700 /home/grader/.ssh
cp /root/.ssh/authorized_keys /home/grader/.ssh/
chown grader:grader /home/grader/.ssh/authorized_keys
chmod 644 /home/grader/.ssh/authorized_keys
  • Restart the service :sudo service ssh restart

Log in as a grader user

  • ssh -i ~/.ssh/fileName [email protected] -p 2200 or just write grader in login as when you enter the putty

Disabling root login and Forcing key based authentication

  • sudo nano /etc/ssh/sshd_config
  • Make changes inside the file by making PasswordaAthentication no from yes and save the file
  • Restart the service sudo service ssh restart

Change the following line in the file /etc/ssh/sshd_config:

From PermitRootLogin without-password to PermitRootLogin no.

Also, uncomment the following line so it reads:

PasswordAuthentication no
  • Login as postgres User (Default User), and get into PostgreSQL shell:
  $ sudo su - postgres
  $ psql
  • Create a new User named catalog: # CREATE USER catalog WITH PASSWORD 'password';

  • Create a new DB named catalog: # CREATE DATABASE catalog WITH OWNER catalog;

  • Connect to the database catalog : # \c catalog

  • Revoke all rights: # REVOKE ALL ON SCHEMA public FROM public;

  • Lock down the permissions only to user catalog: # GRANT ALL ON SCHEMA public TO catalog;

  • Log out from PostgreSQL: # \q. Then return to the grader user: $ exit

  • Inside the Flask application, the database connection is now performed with:

Clone the Catalog app from your Github where you made the item_catalog project

  • Make a catalog named directory in /var/www

      $ sudo mkdir /var/www/catalog
    
  • Change the owner of the directory catalog

     $ sudo chown -R grader:grader /var/www/catalog
    
  • Clone the Item_Catalog to the catalog directory:

     $ git clone https://github.com/harsimarsingh8/item-catalog.git catalog
    
  • Change the branch of repo Item_catalog to production:

     $ cd catalog && git checkout production
    
  • Make a catalog.wsgi file to serve the application over the mod_wsgi. with content:

     $ touch catalog.wsgi && nano catalog.wsgi
    
    import sys
    import logging
    logging.basicConfig(stream=sys.stderr)
    sys.path.insert(0, "/var/www/catalog/")
    
    from item_catalog import app as application
    

This step is very important

  • As had changed the branch on github also to production and made a new file catalog.wsgi which is doing all the work while hosting from behind and we need to write following line wherever we created engine as we had changed the database.
engine = create_engine('postgresql://catalog:password@localhost/catalog')
  • then push all the changes in the repository by writing above line wherever engine were created

  • then git pull the changes in the putty

  • Now Inside item_catalog.py database connection is now performed with:

     engine = create_engine('postgresql://catalog:password@localhost/catalog')
    

Editing the virtual file

  • sudo nano /etc/apache2/sites-available/000-default.conf and add the following content:

    <VirtualHost *:80>
      ServerName XX.XX.XX.XX
      ServerAdmin [email protected]
      WSGIScriptAlias / /var/www/catalog/<filename.wsgi>
      <Directory /var/www/catalog/>
          Order allow,deny
          Allow from all
      </Directory>
      Alias /static /var/www/catalog/static
      <Directory /var/www/catalog/static/>
          Order allow,deny
          Allow from all
      </Directory>
    </VirtualHost>
    
    

Relaunch app

  • sudo service apache2 restart

Creating database and adding dumps to it

  • cd /var/www/catalog
  • python database_setup.py
  • python DisplayMenu_fake.py

Again start the apache server after making changes

  • sudo service apache2 restart

external guidance and motivation

  • Udacity FSND Forum discussions.
  • Udacity mentor.

linux_server_configuration's People

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.