How to Operate Shared Platforms Safely at Agent Scale
datadog, Tuesday, September 15th, 2026
Datadog explains modeling agent demand and allocating capacity as AI agent workloads scale on shared platforms.
Datadog addresses what happens to shared internal platforms when AI agent workloads scale up.
The post describes modeling agent demand, allocating capacity under contention, and preserving operational control as agents multiply. It covers the failure modes that emerge when agents behave like unbounded, bursty clients.
The guidance is aimed at platform engineering teams preparing shared infrastructure for agentic workloads.