Case Study: Mnemonic cuts BigQuery compute costs with Masthead Data

A Masthead Data Case Study

Preview of the Mnemonic Case Study

Masthead Helps Mnemonic Cut Pipeline Compute Costs

Mnemonic, a software development company, faced the challenge of managing significant and unpredictable cloud compute costs from its BigQuery data pipelines. Any bugs or unexpected spikes in consumption could severely impact their expenses, with potential costs reaching over $10,000 per month. They needed better observability to track these costs without adding further overhead.

Masthead Data implemented its non-intrusive observability solution, which quickly identified inefficient pipelines and expensive queries. Within just 24 hours of onboarding, Masthead helped Mnemonic slash its BigQuery compute costs by 20% by pinpointing and eliminating unnecessary processes, all without consuming additional CPU capacity itself.


View this case study…

Mnemonic

Andrii Yasinetsky

Chief Executive Officer and Co-Founder


Masthead Data

5 Case Studies