Key takeaways
- AI creates massive, unpredictable data ingestion cost runaways. Standard CPU resource monitoring is not enough.
- DataOps pipelines must feed cost metrics back to cloud platforms to configure query limits.
The intersection of cost and engineering
FinOps has emerged as a crucial discipline to monitor and reduce cloud budgets. However, implementing cloud-level FinOps without a corresponding DataOps foundation is akin to driving with a blind spot. You see the invoice total, but you have no visibility into the actual engineering resource pipelines causing the charges.