Scalable computing is a research area that focuses on developing technologies and architectures that can efficiently handle increasing amounts of data and workload as the size of the system or application grows. This includes optimizing hardware and software systems to effectively utilize resources and scale performance without sacrificing efficiency. Scalable computing is essential for handling large-scale applications, such as big data analytics, machine learning, cloud computing, and high-performance computing, that require processing vast amounts of data in parallel. Researchers in this field explore various techniques, including distributed computing, parallel processing, load balancing, and fault tolerance, to ensure systems can scale seamlessly and effectively.