Rubicon Project Automates Real Time Business Incident Detection with Anodot
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- Anodot
技术栈
- Graphite
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
技术
- 分析与建模 - 实时分析
- 分析与建模 - 预测分析
适用功能
- 商业运营
用例
- 实时定位系统 (RTLS)
- 预测性维护
服务
- 数据科学服务
关于客户
Rubicon Project is one of the largest ad exchanges in the world, using proprietary computing systems to automate the buying and selling of advertising. The company employs more than 700 people and provides real-time ad auction services for their partners in various industries. More than 90% of people browsing the internet will see an ad that goes through the Rubicon exchange. Each day, Rubicon’s systems process more than twice as many transactions as the Nasdaq stock exchange. The company receives more than 13 trillion bid requests per month, handled in its seven global data centers, housing more than 55,000 CPUs.
挑战
Rubicon Project, one of the largest ad exchanges in the world, processes trillions of transactions each month in real-time auctions. The company receives more than 13 trillion bid requests per month, handled in its seven global data centers, housing more than 55,000 CPUs. However, the Tech Ops team could not monitor more complex aspects of business and trends, especially not in real time. For instance, Rubicon needed real-time insight if a large institutional buyer deviated from its normal transaction trend by any percentage in one of the global data centers at any hour of the day or night. Such deviations could have a devastating effect on the exchange if there was a delay in addressing it with the customer. Along the bid stream, there were many potential areas for communication or technical breakdown, which would prevent the bid from going into the auction, and negatively affect overall bid health.
解决方案
Rubicon Project implemented Anodot to monitor all of their data in real time. The company was already using Graphite for its monitoring, so it simply pulled Graphite data into Anodot. They immediately benefitted from streamlining and automating the data analytics. Previous monitoring tools that Rubicon used required the company to manually set thresholds to generate alerts. Anodot takes the solution to the next level, by learning the normal behavior of Rubicon's data and determining seasonality for each metric, unlike other solutions which cannot account for seasonal trends. With the new real-time analysis from Anodot, Rubicon will notice if a specific DSP stops responding to bids over 15 minute increments. Rubicon uses the Anodot alerts and correlations to determine if they need to reach out to their partner to fix an issue.
运营影响
数量效益
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