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Low Latency Performance Optimization

Broadcast Television Network

Summary:

A major US broadcasting company sought proof that MongoDB’s database technology can handle high operational loads at scale, without performance loss. To demonstrate this, MongoDB approached gravity9 to design and carry out a variety Of performance tests in an environment that could simulate several relevant real-world usage scenarios.

 

Tech Stack:

  • Cloud: AWS
  • Database: MongoDB Atlas
  • Backend: NodeJS

They approached MongoDB for a proof-of-concept solution to demonstrate that MongoDB databases can handle scaling and extreme operational loads without impacting operational or end-user performance. MongoDB turned to gravity9 to partner on the project, recognizing our expertise in rapidly developing high-performance applications and MongoDB-based systems. The media streaming industry demands robust, scalable, efficient database systems capable of handling vast volumes of data in real-time, and our client needed to stress-test MongoDB with real-world type scenarios to determine whether it could meet challenges encountered in the real world.

gravity9 devised a two-pronged approach, using NodeJS API to mimic database interactions and a Test Harness to conduct load tests on MongoDB Atlas that resemble customer use at escalating demand levels. Throughout testing, optimizations were made to indexing strategy, query optimization, and read preferences, leading to dramatic performance and stability gains. gravity9 successfully demonstrated that MongoDB provides an excellent database for streaming service requirements for millions of concurrent users.

 

Our client has gained reassurance has gained reassurance that the technical solution can exceed their customers’ needs...

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