The work behind an AIOps business case
Faster incident-update drafts can save time or move work into review. The business case depends on the cost of the accepted update.
AI in production: tools, operating patterns, costs, and failure modes.
Faster incident-update drafts can save time or move work into review. The business case depends on the cost of the accepted update.
A deployment and a simultaneous dependency outage illustrate how AI-assisted observability can locate useful evidence and distinguish competing explanations.
Baselines, event-level precision and recall, and the cost of waiting determine whether an unusual pattern belongs in investigation or paging.
An executable keyword router provides a baseline for NLP classification. An ambiguous login ticket shows how handoffs and human triage affect the result.
Observation, collection and evaluation timestamps explain why the last zero-error result may no longer describe the service.