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Case Study

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Languages: Ruby Frameworks: Rails

New Relic helps boosts performance for Fanzter’s web and mobile users

Founded in 2007 and headquartered in Charleston, South Carolina, Fanzter is a private software company that creates some of the most popular websites and mobile apps centered around fan expression and content discovery. The small company has a big following with products like Coolspotters.com, CoolPapers, Streaks, and Summizer. Coolspotters is a mashup of celebrity fashion and consumerism. Content from Coolspotters also flows into their popular iOS app, CoolPapers — an app for discovering fun and unique wallpapers for iPhones and iPads. Two additional iOS apps were introduced in 2010 - Streaks, a motivational calendar and goal tracker, and Summizer, a tool for searching and tracking topics and trends on Twitter.

Fanzter served over 20 million users in 2011, serving more than 32 million page views each month. High performance for traditional and mobile access is essential to their success.

"Passionate people and powerful tools are key ingredients in making great products. New Relic has been a key part of our technology stack for over three years, because it enables our team to quickly dig down to the root of performance problems." – Aaron LaBerge CEO & Co-Founder, Fanzter

Challenges

  • Deliver consumers high performance on mobile and desktop devices
  • Ensure that mobile performance is spot on
  • Add new features while maintaining performance and stability
  • Serve 32 Million page views to over 2 Million users each month
  • Find faster method than Rails application logs to monitor and improve performance

Solution

  • Install New Relic's feature-rich service and unobtrusive Ruby on Rails performance agent
  • Allow easy install and upgrade using Ruby Gem package
  • Run New Relic Ruby agent in over 30 processes across the stack
  • Monitor incoming web traffic, background processing services, and server performance via New Relic

Results

  • Manage performance real-time, quickly identify issues, find and fix root causes
  • Know what 'normal' is for Fanzter application performance
  • Eliminate guesswork and improve productivity and performance optimization using Transaction Traces
  • Use RPM to determine which changes to make and to validate performance
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