intermediate ·
Setting Up AIOps for Cost Root-Cause Analysis
A walkthrough of the minimum viable AIOps setup we use at JCorp to convert cloud-cost telemetry into root-cause narratives and weekly action items.
- aiops
- tutorial
- case-study
Chapters
Why AIOps starts with cost, not incidents
Reframing the entry point — most enterprises have the cost telemetry already, so that's where AI delivers value fastest.
The minimum data shape
Resource tags, owner mappings, and the eight fields a cost-RCA agent actually needs.
From narrative to action item
Closing the loop so the AI's RCA turns into a Jira ticket assigned to the right team within the same business day.
This tutorial documents the smallest version of the AIOps setup we run at JCorp — specifically the cost root-cause-analysis loop. It is deliberately not a maturity model: it is a working minimum-viable system you can stand up in a sprint, with a clear list of what to add next.
The first chapter explains why cost is the easiest entry point for AIOps in most enterprises. The second chapter covers the eight data fields the agent needs and where to find them in a typical Azure or AWS estate. The third chapter closes the loop into action items — because an RCA without a ticket is just an essay.