Navigating Impact of Pricing Model Changes: BigQuery Example
Learn how this FinOps practitioner adapted to changes to the GCP BigQuery pricing model that were difficult to detect and forecast.
Use this collection of Managing Anomalies stories to better understand how other FinOps Practitioners implement this capability. These stories were curated and collected by the Managing Anomalies Working Group. Catch up with them and chat about cloud cost anomalies in our Slack.
Catching and Preventing AWS Lambda Looping
Unchecked AWS Lambda functions can generate lots of unplanned costs. Learn how this practitioner prevents these anomalies.
How Inadequate Volume Testing Spikes AWS S3 Charges
Read about unforeseen costs when making application design and central policy decisions separately as it relates to AWS S3.
Beware of Runaway AWS Lambda Costs
See how this FinOps practitioner identified runaway AWS Lambda costs and informed their engineers to improve awareness of these potential anomalies.
Wrangling Runaway AWS RDS/SQL Costs
Even if you think your AWS RDS instances are covered with commitment-based discounts, there’s still a chance for anomalies.
Tackling Anomalous, Runaway Data Analysis Costs
See how this FinOps practitioner identified and stopped a GCP BigQuery overage caused by data analysis workflows.
Thank you to all our contributors
Thanks to our TAC Liaison, Bindu Sharma, and our supporters and interviewees: Dr. Maneesha Asundi, Amy Ashby, and Courtney Bormann.