Description: Workload adjustment refers to the ability to modify and optimize computational resources based on the specific demands of applications or services in a cloud environment. This process allows organizations to scale their resources up or down, ensuring that there is always enough capacity to handle demand spikes without incurring unnecessary costs during low-activity periods. Autoscaling, a key feature in cloud computing, enables systems to automatically adjust the amount of allocated resources, such as servers, storage, and bandwidth, in response to predefined performance metrics. This not only improves operational efficiency but also optimizes resource usage, resulting in significant cost savings. Additionally, workload adjustment contributes to system resilience, as it can quickly adapt to unexpected changes in demand, thus ensuring a smooth and continuous user experience. In a world where processing needs can vary dramatically, workload adjustment has become an essential practice for organizations looking to maximize the benefits of cloud computing.
