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• Reduce time for data troubleshooting and debugging
• Analyze and improve datasets based on actionable insights from monitoring software
• Tackle large queries to Google BigQuery cloud data warehouse to shrink their bills
• The improved data culture due to data usage awareness and better data lifecycle visibility
• By reducing requests sent from company service accounts and applications, cut their cloud data warehouse spending by $10,000
• Greater confidence for future scale-ups with complete control over cloud data warehouse spending and a 360-degree view of data quality
Storj is a cloud storage provider offering distributed nodes for enterprise-level purposes. Thanks to its data encryption and decentralized storage features, the service ensures direct and secure access to data for every business network member.
To empower its data ecosystem with more advanced storage and computing capabilities, Storj decided to create a new data warehouse on Google BigQuery. Alongside this, the company needed to keep its data lean, monitor its usage, and minimize spending on BigQuery resources.
One of the top advantages that we've found from using Revefi so far is that one of the biggest things is just the peace of mind that we have that comes from knowing Revefi is watching out for unusual activity and letting us know. We are especially grateful for the cost and spend management that Revefi has offered to us.” - Jennifer Johnson, Senior Software Engineering Manager, Storj
Storj benefited from the straightforward, zero-touch installation of Revefi and optimized their spending on BigQuery resources.
Storj strived to minimize the cost of their BigQuery usage, making it more insightful about recurring data pipeline issues and resources consumed due to unnecessary queries. However, data engineers didn’t use any automated tools to monitor and send alerts on the data warehouse health issues. So, they primarily looked for an out-of-the-box solution with easily integrable monitors and informative notifications to get started at once.
Storj team also expected to:
The key concern for Storj data engineers was that they had to address BigQuery excessive resource consumption to align ETL processes with their budget. Therefore, they primarily strived to implement a monitoring system that could inform effective spend management to make the most out of their cloud data warehouse use.
Before Revefi, the Storj data team was flying blind about the facts of:
Luckily, Storj data management set off once they’ve plugged in Revefi to copilot their cloud data warehouse maintenance. It paid off with:
Storj is happy with Revefi for establishing a comprehensive and autonomous cloud data warehouse monitoring that sets their mind on ease and unburdens them from tons of workload.
Instead of building metrics and monitoring our data system, we can just spend time to actually work with the data. I would absolutely recommend Revefi to teams like ours. It has not only been useful in our data warehouse build-out, but I also foresee it allowing us to optimize our system and data governance going forward.” - Jennifer Johnson, Senior Software Engineering Manager, Storj
Taking the first big step to data governance excellence and higher returns from migrating to cloud data services doesn’t take much. The Storj’s data team nailed it effortlessly with Revefi, and you can, too!
