Problem In the previous post about Probability in migration new services to prevent traffic flood , I try to apply Probability to solve problem. This post explains more about how I handle large-n-heavy traffics in short period of time. Btw, I called it’s heavy because it needs cpu and memory resize image on cloud (download original image => load to memory => transform format => resize). So if I spin 2, or 4, or even 10 servers to handle this workload, these are some cons: Devops Costs : you have to know to manage large of VMs and put it behind Load Balancer Timing Costs : manual scaling take time (certainly) Resource Costs : you have to pay for idle time Complexity Costs : your system will be a mess Solution All challenges your met mainly because you have to have many servers, so solution is