Kubernetes teams trust automation to ship code but not to touch CPU, and AI is raising the stakes
Kubernetes teams commonly automate their deployment processes, integrating them into daily operations where CI/CD pipelines are triggered frequently, firing dozens of times a day. These teams utilize autoscaling features to manage replicas within their environments. Despite this reliance on automation for code delivery, there is a reported lack of trust in automation when it comes to managing CPU resources. The article highlights that the emergence of artificial intelligence (AI) technologies is contributing to increased complexities or challenges in how these teams approach and implement automation strategies, particularly in areas where trust in automated resource management is already limited.
For developers, AI is raising the stakes in how Kubernetes teams approach automation for code deployment versus CPU management.