DevOps Dictionary

Workload is an application, job, or service together with the compute, memory, storage, and network resources it consumes while running. In cloud and platform engineering, the workload is the unit you plan for and operate: it’s what you deploy, scale, isolate, and observe, and it defines the performance, availability, and cost requirements you need to meet. At a high level, workloads run on infrastructure (virtual machines, containers, or serverless runtimes), and their resource demand changes over time based on traffic, data volume, and concurrency.

With a clearly defined workload, teams can right-size resources, set limits, and automate scaling and recovery; without it, capacity planning becomes guesswork, leading to slowdowns, outages, or wasted spend. This gap exists because resource schedulers and autoscalers can only make good decisions when demand is expressed and measured at the workload level.