DevAI Research13 min reading time

Three Generations of Autoscaling — And Why Agentic Traffic Breaks All of Them

Towards Data Science
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Traditional scaling models for backend services, designed around predictable human traffic patterns, struggle to handle the unpredictable, bursty, and relentless nature of AI agent-driven traffic. This shift requires new scaling approaches that account for rapid onset, correlated concurrency, and persistent retries typical of agentic traffic.

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