The Need: Expand Metrics Monitored

As a real-time trading company, eToro must be able to provide users with reliable market rates as quickly as possible, so they must closely monitor the quality of the connection from both the client and the server side. eToro had been using open source tools to monitor the metrics from their Price Streams service that sends price quotes to their users.

The company quickly realized that it needed to expand the number of metrics being monitored and faced resource challenges adapting their traditional monitoring tools to meet the new demands.

Anodot Hits the Bull’s Eye

Download the full case study to find out how Anodot helps eToro monitor the health of every client request and stay ahead of potential problems to ensure they meet regulatory requirements.

“For us, Anodot means rapid insights from our data, pointing us to where to look at the raw logs in Splunk. This tight relationship between the two systems helps us detect incidents faster and get to the root cause faster, which is critical for our business.”

 – Elad Gotfrid, eToro Director of IT


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Written by Anodot

Anodot leads in Autonomous Business Monitoring, offering real-time incident detection and innovative cloud cost management solutions with a primary focus on partnerships and MSP collaboration. Our machine learning platform not only identifies business incidents promptly but also optimizes cloud resources, reducing waste. By reducing alert noise by up to 95 percent and slashing time to detection by as much as 80 percent, Anodot has helped customers recover millions in time and revenue.

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