Deploying Web Server & HAProxy Load Balancer on AWS Using Ansible

Provisioning AWS EC2 Instances and Security Group using Ansible Playbook and then Deploying HTTPD Web Server and HAProxy Load Balancer Server using Ansible Roles.

This article will help you to learn, How we can setup EC2 Instances and Security Group on AWS using Today's Most Demanding Automation Tool — Ansible. *Next we gonna see how to *Deploy multiple HTTPD Web Server as backend server and HAProxy Load Balancer as frontend on top of these backend servers using Ansible Roles.

This particular demonstration will also helps us to learn *Distributed Architecture. *But before starting let's understand some basic terms…

HAProxy :

HAPROXY logo

• HAProxy is a high-performance, open-source load balancer and reverse proxy for TCP and HTTP applications. Users can make use of HAProxy to improve the performance of websites and applications by distributing their workloads. Performance improvements include minimized response times and increased throughput.
• Load balancers can be used to distribute workloads across computers, networks, disk drives or CPU’s. HAProxy, included in many distributions of Linux, is one of the leading standards in software load balancing. HAProxy is used in high traffic services such as GitHub and Twitter.
• _To know more about HAProxy : _https://www.haproxy.org/#desc

Load Balancing :

Source : Google

• Load balancing is the process of distributing network traffic across multiple servers. *This ensures no single server bears too much demand. *By spreading the work evenly, load balancing improves application responsiveness. It also increases availability of applications and websites for users. Modern applications cannot run without load balancers.
• In production environment, companies have thousands of servers running the same Application (In our example this is HTTPD Web Server). *This is because one server can server a limited number of clients at a particular point of time. But for bigger companies, their servers get thousands of traffic per second. So, to serve huge amount of traffic we need to use lots of servers, but the problem is *each server will have their own IP address and for client it will be too much confusing to find which IP address is currently free to take their request.

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