Load Testing for a Virtual Ticket Booking System

Media & Publishing


A full-service marketing agency that focuses on delivering brand-centric, multichannel experiences to their customers.


The customer uses visual storytelling to enhance their customer relationship across a number of business verticals, including healthcare, sports, entertainment, and architecture.


The customer facilitates online ticket booking for different games through a virtual venue system. The system allows the users to book tickets within a specific period of time, normally ranging from 4 to 20 hours.

  • Large number of users try to access the system, while the online bookings are open.
  • The system is configured under a load balancer with multiple servers to handle the peak time load. Number of servers keep increasing depending on the number of users.
  • Prior to the opening of online ticket booking, it is important to check whether the number of servers need to be increased or not.
  • Testing should be done with high number of concurrent users.
  • The number of users for each venue varies, and accordingly the number of servers should also be changed.


Conduct proper load testing and determine the precise server requirements to handle the load during peak hours, without affecting the operations.


We configured load testing using JMeter and Loadstorm.com. JMeter is run from different instances in accordance with the increasing number of concurrent users. The same process is repeated with Loadstorm.com as well. The response for each request is compared with the standard output. Time taken for response is also analyzed. If the response time is more, then new servers are added to do the load testing again


  • Easy to determine the exact number of servers required to balance the load.
  • Considerable reduction in the response time with the prompt addition of servers.
  • Ability to handle a large number of hits (user visits) at a single point of time.
  • Every seat selection and booking request is attended properly


  • 70%reduction in application downtime
  • 3Xincrease in customer satisfaction
  • 45%improved visibility into performance bottlenecks

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