👉 Fluid computing is a paradigm that allows applications to dynamically adapt their computational resources and architecture based on varying workloads and demands, much like how liquid can take any shape but maintains its fundamental properties. In traditional computing models, resources are often static and fixed, leading to inefficiencies when handling fluctuating workloads. Fluid computing, however, leverages cloud-native technologies and microservices to enable applications to seamlessly scale up or down, utilizing a mix of on-demand, reserved, and spot instances to optimize cost and performance. This flexibility ensures that applications can efficiently handle peak loads without over-provisioning resources during low-demand periods, providing a more cost-effective and responsive computing environment.
