The process addresses application resource allocation by dynamically adjusting compute, storage, and network resources to meet application demand in real-time. This ensures applications receive precisely the resources required for optimal performance, preventing both resource contention and inefficient resource utilization. For instance, a database application experiencing a surge in requests might automatically receive additional memory or CPU cores, subsequently relinquishing those resources when demand subsides.
Effective application resource management reduces infrastructure costs, minimizes performance bottlenecks, and improves overall application responsiveness. Historically, resource allocation was often static, leading to either over-provisioning (resulting in wasted resources) or under-provisioning (causing performance degradation). This adaptive approach contrasts with traditional methods, offering a more agile and cost-effective solution to resource management challenges.
