Story
PagerDuty
Scale AIScale AI Brings Application Health onto PagerDuty
Scale AI, an information technology organization in the United States, uses AIOps from PagerDuty to support production support for SREs and developers.
SREs and developers at Scale AI review application health in AIOps rather than in personal files.
“Information Technology work at Scale AI spans more than one site, even when headquarters sits in the United States.”
“SREs and developers asked for a shared way to run production support without freezing local judgment.”
Independent write-up. Figures come from public sources or are illustrative.
Value results
| Category | Value result |
|---|---|
| Capability | Production support stays visible to adjacent teams through AIOps |
| Capability | SREs and developers work from the same AIOps record for application health |
| Capability | Application health can be reviewed without waiting on a personal export |
Story
Information Technology work at Scale AI spans more than one site, even when headquarters sits in the United States. Application health was splitting across regional habits. SREs and developers asked for a shared way to run production support without freezing local judgment.
PagerDuty (AIOps) is what they standardized on. PagerDuty is an operations cloud for incident response, on-call, and event intelligence used by digital operations teams. Scale AI uses it as the system of record for application health, with SREs and developers as the primary operators and other groups coming in through the same queue.
Leaders get a picture they can actually walk. Teams get fewer mystery statuses. The story is about operating change, not an unpublished percentage.
