People are losing interest in television, and now the focus is directed towards video streaming apps. Video streaming apps deal with data storage and video streaming in larger amounts. Certain criteria need to be considered while developing an on-demand video streaming solution
Challenges faced by video streaming solution
- Scalability: New users are continually part of the streaming services. The app must have scalable back-end support to cater to the needs of the increasing number of customers. There must also be facilities to stream content without any glitches.
- Security: There must be a reliable encryption algorithm to protect from misuse pertaining to users' data. Movies and shows or any other content require valid rights to be acquired before streaming, so make sure you have the relevant copyrights before streaming content in your video streaming app.
- Search results: Though the app has all the movies and shows that users search, there must be a robust algorithm for retrieval. Unlike other apps, OTT applications have more parameters to filter the results, such as actors, genres, titles, etc. Train your search results with various examples, test it thoroughly, and fix the inaccurate results.
- Streaming quality: Today's technology has made it possible to stream content from anywhere in the world. Multiple CDN are compared and the best streaming quality network among them is relayed to the users.
Must-have features of video streaming apps
- Users onboarding: They should be a simple sign in and sign up process. It should not take more than a few minutes to register.
- Recommendation: The secret behind the success of OTT platforms like Netflix lies in offering the best content to users and providing recommendations based on individual presence. There must be an effective data analytics algorithm to offer suggestions based on the users' browsing history and watch history.
- Real-time analytics: These represent graphical data in terms of pie charts, graphs, etc., through which admin can get real-time analytics on users' behavior.
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