What are the scalability considerations for real-time data processing architectures?

Scalability considerations for real-time data processing architectures include horizontal scalability, vertical scalability, elastic scalability, and auto-scaling. Horizontal scalability involves adding more machines to distribute the workload, while vertical scalability involves increasing the resources of individual machines. Elastic scalability allows systems to dynamically adjust resources based on demand, while auto-scaling automates the scaling process based on predefined criteria. These considerations ensure that real-time data processing systems can handle growing workloads efficiently and effectively.