Should high-activity sources have their own dedicated clusters?

Having dedicated clusters for high-activity sources can significantly enhance performance and reliability. High-activity sources typically generate a substantial volume of transactions or data requests that can strain shared resources, leading to slowdowns or potential failures in service. By assigning these sources to their own clusters, you ensure that they have the necessary compute, memory, and storage capabilities to operate efficiently without competing with other services for limited resources.

Furthermore, dedicated clusters allow for better resource management and optimization specifically tailored to the needs of high-activity sources, which may have different performance requirements compared to less active systems. This separation can also improve scalability, as clusters can be resized or adjusted independently based on the specific demands of high-activity workloads.

While there are options for resource sharing that might work well in some environments, the unique needs of high-activity sources justify consideration of dedicated clusters to maintain system performance, reliability, and user satisfaction. This proactive approach helps in managing the complexities associated with peak loads and ensures that high-demand applications remain responsive.