According to McKinsey, India is moving from 120 million online users in 2013 to 330 million users in 2015. With the growth, India’s e-ticketing demand for rail travel has increased exponentially—from just a few hundred tickets to 500 thousand tickets per day. CRIS, India Railway’s Centre for Railway Information Systems, worked with Pivotal to scale their system.

The environment initially needed support for :

– 120,000+ concurrent sessions during peak time
– 30+ million registered users
– 700 thousand bookings per day
– 30 million queries per day
– 600+ million Rupees of revenue per day

Evaluating a variety of options, CRIS IT leaders chose Pivotal GemFire 8, part of Pivotal Big Data Suite. GemFire’s distributed, in-memory, shared-nothing architecture manages CRIS application data across many nodes—load balancing, high availability, and scale-out capabilities are built in. The resulting system was tested for a month and then officially launched in July 2014. The system has improved the stats significantly, with the load limit rising to 10000 from 2000 per minute. Time taken to book a ticket has come down considerably and the user authorization is done from in-memory data.

With Pivotal GemFire in place, the following performance improvements were attained:

– 120,000 concurrent users can book e-tickets simultaneously—a 300% improvement
– Bookings increased by 500% in the first 10 minutes of running GemFire underneath Tatkal, a short-notice booking application.
– E-ticket sales have grown significantly overall, especially for Tatkal
– Response time has seen a major improvement, entering the sub-second response time
– Wide variations in user access patterns are handled without concern for SLAs or downtime
– Per minute booking capacity increased by 5 times to 10,000 transactions per minute

For more details watch: https://www.youtube.com/watch?v=Ou_vnGEEHYI

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