Find Anomalies: It’s Time for CDN’s to Use Machine Learning

CDNs play a vital role in how the web works, however the volume, variety and velocity of log files that CDNs generate can cause issue detection and mitigation to become exceedingly difficult. In order to overcome this data challenge, you need to first gain an understanding of your normal CDN patterns, and then identify activity that deviates from the norm—in real time. This is where machine learning can take CDN services to the next level. The ChallengesCDN operators ought to be immediately notified about sudden increases in bandwidth consumption at the PoPs or proxies in a network in order to take corrective action. The identification process begins by understanding which sources (customers) were the causes of abnormal peaks in bandwidth consumption. Without the ability to quickly obtain insights from fresh…

Link to Full Article: Find Anomalies: It’s Time for CDN’s to Use Machine Learning

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