What can be a potential downside when deploying changes to services in real-time?

Deploying changes to services in real-time can indeed lead to CPU spikes. When changes are made, especially in a live environment, the system may experience increased load as the new code is being executed. This can happen for several reasons, such as the initialization of new processes, inefficiencies in the new code, or even the time it takes for the system to adequately scale to accommodate the new demands. These spikes can cause slower response times, affect user experience, and potentially lead to service disruptions if not monitored and managed properly.

While there are other concerns related to real-time deployments, such as the possibility of losing monitoring data when changes disrupt the normal logging processes, CPU spikes specifically highlight a direct impact on the system's performance. This emphasizes the importance of carefully managing and monitoring resources during deployments to ensure stability and efficiency.