In the market study conducted by our team, we found that the readily available solutions do not meet our requirements and are very limited in terms of expendability.
Even though similar solutions are readily available, the main reason for adopting the development was to limit the cost and to maintain the confidentiality and security of data which are handling.
Moreover, we needed adequate controls over the system and what goes into it. For us, the system should much portable as possible, so we can easily integrate with our existing set of microservices and should have room to add new features in the future. All this led to the development of a streaming & chat system of our own.
While planning the project, one of our goals was to make it adaptable to future projects that may need similar features. So to eliminate any possible future hassles, we decided to make it a microservice that can be used in a plug-and-play fashion. While planning the prototyping, we prepare documentation and UI/UX design with the project requirements and user specifications to create a test plan.
Next, we went through usability testing to get user feedback. We shared the high-frame with a few users and collected their experiences. This stage helped us to uncover opportunities to improve the overall user experience.
For the backend, Express is a Node.js based web application framework that we selected because of its simplicity. For this particular project, we wanted something that was less difficult. For the two-way event-based
We would rely on Web Sockets for real-time communication, and we opted due to the Socket IO librarys capacity to switch to alternative protocols when Web Sockets, automatic reconnection, proxies, and load are not supported. Support for balancers, and most crucially, support for broadcast.
This avoided so much boilerplate code, and it also integrated seamlessly with the Express server. MongoDB is used to store user and configuration data as well as chat logs. For actual management of the chat system, we used a combination of Redis Hash and Sorted Set with Lua scripts to run many queries in transactions.
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Tequerist Infotech Private Limited
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Kerala, India, 682021
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