how to design a system for processing massive user-uploaded images efficiently

im workin on a platform where users can upload a ton of images, and we need to process them quickly for various purposes like resizing, format conversion, and metadata extraction. the volume is expected to be huge, so im thinkin about a distributed processing pipeline. what are your go-to strategies for handling this kind of workload? are there specific queueing mechanisms or worker orchestration patterns that have worked well for you, espescially when dealing with varying image sizes and processing times?