ANSC: Probabilistic Capacity Health Scoring for Datacenter-Scale Reliability

TL;DR

ANSC introduces a probabilistic scoring framework for datacenter capacity health, enabling operators to proactively identify and prioritize imminent capacity risks across large-scale infrastructures.

Contribution

The paper presents a novel probabilistic capacity health scoring system that considers both current capacity and failure probabilities, improving risk assessment in hyperscale datacenters.

Findings

Enables prioritization of remediation across 400+ datacenters

Reduces alert noise and false positives

Aligns SRE focus on critical capacity risks

Abstract

We present ANSC, a probabilistic capacity health scoring framework for hyperscale datacenter fabrics. While existing alerting systems detect individual device or link failures, they do not capture the aggregate risk of cascading capacity shortfalls. ANSC provides a color-coded scoring system that indicates the urgency of issues \emph{not solely by current impact, but by the probability of imminent capacity violations}. Our system accounts for both current residual capacity and the probability of additional failures, normalized at datacenter and regional level. We demonstrate that ANSC enables operators to prioritize remediation across more than 400 datacenters and 60 regions, reducing noise and aligning SRE focus on the most critical risks.