> Video encoding is 70% of Netflix’s computing needs, running on 300,000 CPUs in over 1000 different autoscaling groups. ... > But if you look, encoding has a

> Video encoding is 70% of Netflix’s computing needs, running on 300,000 CPUs in over 1000 different autoscaling groups. ... > But if you look, encoding has a bursty workload pattern. That means the farm would be underutilized a lot of the time. > ...they built their own internal spot market to process the chunked encoding jobs. The Engineering Tools team built an API exposing real time unused reservations at the minute level. They're running multiple encoding tasks at once (an understatement) and when one of these is using less CPU, they shift another encoding task to that same machine.