When should an organization consider vertical scaling?

Vertical scaling, also known as "scaling up," refers to increasing the capacity of a single server or resource by adding more power, such as additional CPUs, RAM, or storage. An organization should consider vertical scaling when it is addressing CPU-intensive API processes. This is because CPU-intensive tasks require significant processing power, which can be effectively managed by upgrading the capabilities of a single machine to handle greater computational loads.

When an organization is focused on optimizing processes that demand high levels of computation, such as complex data processing or calculations, vertical scaling allows for improved performance without the need for distributing the workload across multiple nodes. This can lead to faster execution times and better resource utilization for those CPU-bound processes.

In contrast, options referencing processing small payloads with high frequency, increasing concurrency with more workers, or simplifying IT infrastructure generally suggest other scaling strategies, such as horizontal scaling or optimization of the current setup rather than simply adding resources to existing machines. Thus, these do not align with the specific context where vertical scaling is the most effective solution.