case study - analyze cloudfront logs to identify popular file types & source of referrals
DESCRIPTION
CloudFront is AWS's Content Delivery Network. The logs of CloudFront can help identify factors related to the content being distributed such as the most popular file type being viewed/ downloaded in a particular geography, popular content, the viewers' access patterns of a particular content or even the source of referrals. This case study explores how one of our clients used Cloudlytics to analyze their CloudFront logs to identify popular content type and referral sources.TRANSCRIPT
Case Study
Analyze CloudFront Logs to
Identify Popular File Types &
Source of Referrals
About the Client
• USA based company.
• Core competency – provide a secured video
streaming platform.
• Uses Amazon S3 (Simple Storage Service) & Amazon
CloudFront to store and stream videos.
Challenges
• To identify the most popular video content.
• To identify the most popular video file type.
• To identify the referrers links.
Why Cloudlytics?
Cloudlytics offers –
– Popular Reports: (identify content popularity
w.r.t countries, OS, Browsers & devices).
– Geographic Reports: (identify content
distribution w.r.t Edge Locations, Availability Zones).
– IP Reports: (monitor user access patterns for OS,
browsers & referrals).
How did the Client Benefit?
The Client could –
– Identify the most popular video content.
– Identify the most popular video file type.
– Identify the referrers links.
– Identify user access patterns.
– Map user access patterns to the respective
geographies.
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https://www.cloudlytics.com/