Humans are now the minority on the open web. Automated traffic accounts for over half of all web activity, and your legacy stack is likely not ready for it. Traditional setups rely on human think time and predictable caching, but AI agents bypass the edge cache completely. They hit endpoints with complex natural language queries and demand real-time data, turning your database into a major bottleneck.
Here is how we can fix this infrastructure crisis:
- Decouple your resource allocation from your code base.
- Move away from rigid sizing toward granular and on-demand scaling.
- Use production-identical preview environments to run agent stress tests safely.
By treating agentic traffic as a core architectural requirement, you can ensure your backend stays responsive when a swarm hits.
Check out the full technical write-up to see how to adapt your infrastructure for the agentic shift.
Why AI agents will break legacy cloud | Upsun
AI agents are crushing legacy clouds with high-concurrency demands. Learn how to prepare your infrastructure for agentic traffic with Upsun’s flexible scaling
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