For this week’s post, I want to provide readers with a blog post from Marcel Kolny at Amazon that discusses the significant improvements made to Prime Video’s audio-video monitoring service, which resulted in several benefits, including a 90% reduction in costs. Utilizing the cloud, streamlining an existing container orchestration platform, implementing robust data processing pipelines, and using machine learning for anomaly detection allowed for enhancements to video streaming quality. As a result, Prime Video can now efficiently handle the increased demand for video streaming while maintaining high-quality user experiences.
As Kolny describes it, “At Prime Video, we offer thousands of live streams to our customers.” Prime Video set up a tool to keep track of every stream that customers viewed in order to guarantee seamless content delivery. This tool allows us to automatically identify perceptual quality issues (for example, block corruption or audio/video sync problems) and trigger a process to fix them. [1]
Please click on the image above or the link below to access the blog post. I will use the next blog post to sum up my detailed thoughts on the above.