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A Popular Quiz Show This popular quiz show first aired in 2000 and for almost a decade it has been airing on a leading Indian T.V network. Participants are quizzed on a variety of topics and the questions get progressively more difficult, as they move forward. The audience at home can also play along, through the network’s app, in near real-time. By pre-registering for the game, they stand the chance of winning millions, by simply correctly answering the questions. About the Company

A Popular Quiz Show - HashedIn Technologies€¦ · A Popular Quiz Show This popular quiz show first aired in 2000 and for almost a decade it has been airing on a leading Indian

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Page 1: A Popular Quiz Show - HashedIn Technologies€¦ · A Popular Quiz Show This popular quiz show first aired in 2000 and for almost a decade it has been airing on a leading Indian

A Popular Quiz Show

This popular quiz show first aired in 2000 and for almost a decade it has been airing on a leading Indian T.V network. Participants are quizzed on a variety of topics and the questions get progressively more difficult, as they move forward. The audience at home can also play along, through the network’s app, in near real-time. By pre-registering for the game, they stand the chance of winning millions, by simply correctly answering the questions.

About the Company

Page 2: A Popular Quiz Show - HashedIn Technologies€¦ · A Popular Quiz Show This popular quiz show first aired in 2000 and for almost a decade it has been airing on a leading Indian

Problem Statement

The show was leveraging an app that allowed participants (of the quiz) across the world to respond to the questions that the host is asking, in near real-time. The application was unable to handle the load and kept crashing. There was an urgent requirement to fix the application before the next show. Despite increasing the AWS ElastiCache Servers (Redis) from 3 to 15, they were still facing an issue with Redis, and the app was crashing.

HashedIn's Solution

The application was analyzed by running HashedIn’s RDB Tools solution. This tool gave better insights as to why Redis was facing issues and helped optimize memory usage. We identified that significant amounts of unnecessary data were stored on the servers. By clearing this data, we were able to free up a substantial amount of storage memory. Moreover, we also re-architectured the code with best practices, making it more efficient. In this way, we optimized their cloud’s performance.

Technology StackRedis

Java Spring

Business Outcomes

Reduced the number of servers required for operation from 15 to 4. Re-architectured the code with best practices to improve its performance, which resulted in the reduction of the cost of infrastructure by 50-60%. Overall optimization of the cloud’s performance.

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