Online applications like Facebook, Google Apps, WhatsApp, Amazon, Flipkart etc. are huge companies that have a huge customer base and many of customers use their apps concurrently. It put much load over their servers and relatively more load on the application. This overload degrades the performance of the application. The more request-response to an application, the more it applies load on the server. However, a server infrastructure consists various limits to serve a total number of requests per second. Therefore, the server infrastructure and architecture of the application must be developed in such a manner that can be deployed on multiple servers. When the number of users increased, the application can serve to all users by just deploying the same application to more servers. Such kind to development architecture requires more knowledge and more experienced developers. Also, the cost of such deployment need lots of money to purchase/subscribe various third-party packages. In this paper, I am presenting a design architecture and deployment method for Active-Active application clustering that will help to develop applications, which can scale-up at any time without making any changes to application code. The application can handle any number of requests and can serve more users than expected. This architecture uses open source tools and technologies so that it is a low cost solution and provides high performance.

Cloud computing, virtualization, application clustering, distributed application, database clustering, load balancer, HAProxy, Keepalived, Memcache, Postgres database, hypervisor

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