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Case Study

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Languages: PHP

RunSignUp runs with New Relic to improve online registration

Founded in 2009, RunSignUp (RSU) offers a software service to make life easier for race directors and runners. Leveraging the cloud, RunSignUp makes race management, registration and related activities easier for runners, race directors, clubs, and timing services. The company developed a race widget that embeds into a race's, timer's or club's site enabling runner registration right on their sites (and not off in some central web repository). Founder and CEO Bob Bickel and his team believe that registration belongs out in the larger world of running – in the thousands of local races and running clubs, with race directors, timers, and the runners participating in the races.

"In just three clicks I go from top to bottom, from the management view to figuring out the details of my problem. It's amazing – and a huge productivity booster!" – Bob Bickel CEO and Founder, RunSignUp

Challenges

  • Deliver a cloud-based race management system for runners
  • Provide consistent high performance for registration spikes for big races
  • Ensure 99.9% availability of race management system
  • Understand and report on end user response time
  • Move from semi-manual performance scripts to automated system

Solution

  • Implement New Relic to manage all aspects of performance: server, application and end user
  • Dashboard provides overview of performance
  • Alerts inform team when there is a problem
  • Server Monitoring delivers insight into AWS servers all the time
  • Real User Monitoring (RUM) spotlights end user response time across locations
  • Transaction Traces allow team to quickly identify and drilldown into any performance bottlenecks

Results

  • Improved visibility into availability, site performance and end user experience
  • RunSignUp now provides fast and informative reporting to end users increasing trust, confidence and transparency
  • RunSignUp exceeds 99.9% uptime SLA
  • Improved development team productivity and efficiency
  • More development time spent on features and functions; less on performance management
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