Enter .
Somewhere in a massive data center, a video transcoding job finishes. For the last four hours, a virtual machine has been converting a 4K live stream into multiple resolutions (1080p, 720p, 480p) using the codec library—the open-source engine behind Google’s VP8 and VP9 video formats. duster libvpx
A real-world example: In 2022, a European OTT (Over-The-Top) streaming service noticed that after 72 hours of uptime, their transcoding nodes were using 4x the normal memory. Worse, the first frame of every new live stream showed ghosting artifacts—faint remnants of the previous channel’s logo. A real-world example: In 2022, a European OTT
Hidden in temporary buffers, partially decoded frames, motion vector tables, and probability models are gigabytes of "zombie data." If left alone, these remnants will slow down the next encoding job, cause memory bloat, and eventually crash the worker node. The job is a success
The job is a success. The stream is delivered. But the server is now a landfill.