On-Demand Computation
On-demand computation is a computing paradigm where computational resources (such as processing power, memory, or storage) are provisioned and scaled dynamically in real-time based on user requests or workload demands, rather than being pre-allocated. It enables efficient resource utilization by eliminating idle capacity and allowing users to pay only for what they use. This concept is fundamental to modern cloud computing and serverless architectures, where services automatically handle scaling and management.
Developers should learn about on-demand computation to build scalable, cost-effective applications that can handle variable workloads without over-provisioning resources. It is essential for implementing serverless functions, microservices, and event-driven architectures in cloud environments like AWS Lambda or Azure Functions. Understanding this concept helps optimize performance and reduce operational costs in scenarios with unpredictable traffic spikes or batch processing jobs.