IBM architect explains how to scale AI pipelines for peak traffic

When a winter storm knocked network equipment offline, the operations team had to sort through a surge of trouble tickets. The AI tool built to summarize those tickets stopped producing summaries just as engineers needed them most.

Mundakkapatta Dileep Kainary, an application architect at IBM who has spent more than two decades building enterprise systems, described the failure and the redesign in a DZone article on an LLM pipeline that survives traffic spikes. His takeaway: Counting requests is not enough if each request can suddenly become much more demanding.

The stakes can be high. IT service management vendor Virima…