Infrastructure for the Agent Era

AI agents are projected to create a major increase in infrastructure demand by running continuously and multiplying the number of active digital workloads per person, potentially producing roughly 100 times the scale of human-driven internet activity. The author argues that legacy in-memory data stores such as Redis were built for short-lived, human-scale workloads and are constrained by their single-threaded architecture, requiring complex clusters that have limits on capacity and throughput. Dragonfly is presented as an alternative designed to use all CPU cores on modern hardware, process millions of requests per second on a single node, and extend memory onto SSDs while retaining sub-millisecond performance. As major cloud providers invest heavily in capacity for AI deployments, the piece contends that real-time data infrastructure, rather than hardware alone, may become a critical bottleneck for organizations preparing for widespread agent use.

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