International detect cloud cost anomaly prevents major loss
Anodot, the Autonomous Analytics company, caught a major cost anomaly for Copilot.cx over the past weekend using DoiT International’s reOptimise cost optimisation platform, preventing Copilot from potentially losing out on thousands of dollars. DoiT provides technology and consulting services for companies using public cloud services, and uses Anodot’s platform to provide ML-assisted anomaly cost detection to their customers, such as Copilot.
The cost anomaly was found in Google BigQuery, which reOptimise monitors for cost per hour. A bug in the system caused many more queries than normal to run, causing the cost to rise by more than $199 per hour, which would have resulted in a minimum $4,800 loss.
“This was a great catch - one of many on their part,” said Copilot CTO Adaya Cohen. “We monitor hundreds of metrics related to cloud costs, in addition to thousands of other business metrics. A break, even in something granular, can easily rack up thousands of dollars. With DoIT and Anodot on the watch, we are covered. That is a huge relief.”
According to DoiT International General Manager Vadim Solovey: “Cloud cost monitoring is a very complex area, and incidents can happen at such a granular level that they can easily go unnoticed for a day or two.
“Anodot’s machine learning platform empowering our reOptimise technology and helps us to monitor millions of metrics in real-time, and give our users the kind of spot-on alerts that deliver real value.”
Anodot monitors millions of metrics for hundreds of customers every day. Their alerts help proactively manage their business metrics, from cloud costs, to revenue stream, ad spend, audience, and even partner monitoring.
“When a company is using a traditional dashboard or monitoring manually, it can take days to catch a bug like this. If not detected early, incidents like this can be catastrophic, even for smaller companies,” Anodot VP Product Amit Levi said. “Anodot together with reOptimise are able to catch a spike in cost and notify the user immediately, saving them both time and money.”