There has been enormous progress in digital video processing and communication technology in recent years. These technologies have enabled the dream of high-quality and real-time video streaming over various networks. The amount of data required for streaming is enormous. Even the bandwidth of communication channels is limited.To get more news about moonlive, you can visit official website.
HBO Max numbers include only the number of paid subscribers that have activated their HBO Max app subscriptions. Many more people pay for HBO via their cable subscriptions but have yet to activate the HBO Max app that comes with their cable subscription
Fortunately, file compression technologies have overcome these limitations. Wired and wireless communication channels provide a platform for video streaming applications. However, even with all these video streaming technology stack advancements, you can build a video streaming app but still, there are some challenges in video streaming app architecture.
The most common issue faced by developers is making their app scalable. Scalability is your app’s ability to handle a growing number of users. It also has to do with the capacity of your current or future developer to maintain the app. If you find yourself asking the question of whether your app can scale up to exponential growth, you are in the right place. To make your app scalable, you need to be prepared to add new features. These features will make your code flexible and keep your app running smoothly.
On the user’s device, whenever they click on a video, it loads for a few seconds and then starts playing. Let us have a look at how this process works in the backend. After the user makes a request, the app transcodes the video. Transcoding converts a video file from one format to another. This ensures that the video is in a format that works best for a particular device. Transcoding videos enables users to view videos across different platforms and devices.
1. Validation
Transcoding attempts or data transmission problems can cause color changes or missing frames. Softwares analyze these videos for any digital errors. Detection of errors results in the video being rejected.
2. Parallel Encoding
Most video files are multiple terabyte-sized. It is inefficient to process such extensive data. Hence, the video is first broken down into many smaller fragments. These fragments are then encoded in parallel. Many servers are needed to process all these parts at the same time. Once these parts are encoded, they are validated to ensure no new errors have arisen. Then, they are merged back into a single file and verified again.
3. Encoding Profile
Each device has a video format that looks best on that particular device. Video streaming app architecture services use the mass of files created during encoding to support every internet-connected device. All the different formats for a video are called its encoding profile. This profile is optimized for different network speeds. The faster your network is, the higher the quality of the video you will see. Even audio and subtitles are encoded into varying levels of quality and various languages.
