[KongchangAI]
Unverified50% confidenceSolutionExact time

Tool servers have low CPU due to handling I/O-intensive tasks, so using CPU as the autoscaling signal incorrectly suggests no scale-out is needed; the correct signals are request queue depth or active connection count, and after Saket's team switched to queue-depth-based autoscaling, scaling lag dropped from approximately 3 minutes to approximately 30 seconds.

1
Sources
50%
Confidence
Long-term
Relevance
10/6/2026
First Seen

Sources

Related Entities

Cite This Claim

Stable URI
https://kongchang.com/claim/981780
API
curl https://kongchang.com/api/v1/knowledge/claims/981780
MCP
get_claim(id=981780)