![]() ![]() “Monitor” constantly having “package” communication with the user and all end platforms gaining information and statuses to display in real time, allows us to track the flow of data to Restream.io and again from Restream to the end platforms. Therefore, a problem could be detected as soon as it occurs or even earlier. ![]() This type of data should also be provided in real-time rather than requested by operators, when needed. In fact, it is the missing or corrupt data from the video stream that the devices in the delivery chain should report, and not their status. By doing so, we would be able to see which elements of the chain (devices or network connections) are causing the problems. This is the only way to know which devices or network connections are causing problems. To solve the problem, first we need to look into the video stream itself. How can we identify and resolve a problem? Or just be sure that everything is performing as expected? Each additional platform has its own network path where the quality and stability are dependent on additional factors. When we start talking about multistreaming, the situation gets even more complicated as there are more elements in the chain. * Typical live stream path to streaming platform ![]() We illustrate an example of a typical streamer, but exclude the path from the platform to end viewers since we cannot monitor the output from the platform side. Looking at the live streaming chain, we can see that it combines a lot of elements, and it will be crucial to understand where the problem lies. As we know, problems may occur anywhere in the delivery chain, and the only way to isolate them is by rudimentary monitoring. Yet, lack of such level of monitoring in real-time streaming is a bad news for broadcasters. When something goes wrong, an operator can quickly identify at which stage the problem is occurring. This complex process involves broadcast operation centers that control broadcasts (on TV channels and networks) throughout the entire delivery process. In other words, you can lose 80% of your audience because of bad viewing experiences, 25% of your viewers leave even before 4 minutes mark.Ĭonventional broadcasting allows for more time on the development of troubleshooting tools that can be used for rapid detection of issues in the delivery chain. Only 15–20 percent of your viewers have patience to wait for more than 9 minutes if they experience some issues with the content. Why should you care? * Strong correlation with user retention vs. ![]()
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