Case Study: Vimeo achieves greater data trust and accountability with Monte Carlo

How Monte Carlo and Snowflake Gave Vimeo a “Get Out Of Jail Free” Card For Data Fire Drills

Vimeo, the video hosting and streaming platform, needed a better way to build trust in its data as it scaled to more than 85 billion events per month. After struggling with homegrown pipelines, Great Expectations, and other point solutions that couldn’t keep up with the company’s data volume and real-time needs, Vimeo looked for a more scalable data observability approach from Monte Carlo.

Using Monte Carlo with Snowflake and Looker, Vimeo gained automated anomaly detection, alert grouping, and Slack-based incident workflows across its data stack. Monte Carlo helped Vimeo surface issues it hadn’t seen before, reduce alert fatigue by rolling out monitoring gradually, and create stronger data accountability across teams—giving the data group what one leader called a “get out of jail free” card when questions about bad data came up.

Vimeo

Lior Solomon

Former VP of Engineering