实例探究 > Ticketfly Slashes Error Rates, Cuts Response Time and Increases Client Satisfaction with Help from New Relic Platform

Ticketfly Slashes Error Rates, Cuts Response Time and Increases Client Satisfaction with Help from New Relic Platform

公司规模
200-1,000
地区
  • America
国家
  • Canada
  • United States
产品
  • Ticketfly platform
  • Fanbase
  • New Relic Platform
技术栈
  • Scala
  • Java
  • Grails
  • WordPress
  • Amazon Web Services
实施规模
  • Enterprise-wide Deployment
影响指标
  • Customer Satisfaction
  • Productivity Improvements
  • Revenue Growth
技术
  • 平台即服务 (PaaS) - 连接平台
  • 平台即服务 (PaaS) - 数据管理平台
适用功能
  • 商业运营
  • 销售与市场营销
用例
  • 质量预测分析
  • 实时定位系统 (RTLS)
服务
  • 数据科学服务
  • 系统集成
关于客户
Founded in 2008, Ticketfly is a data-driven ticketing and marketing platform for professional event promoters and venues in the United States and Canada. The company works with some of the most respected venues and promoters in North America, including the Brooklyn Bowl, Austin City Limits Live, the Independent in San Francisco, Merriweather Post Pavilion, and the Troubadour in Los Angeles. The Ticketfly platform provides a full suite of ticketing, mobile, social marketing, website, email, and analytics tools that streamline operations and increase ticket sales. To that end, the company recently introduced a customer analytics suite called Fanbase that gives promoters greater insight into sales, attendance, and social sharing data for driving loyalty and mobilizing influential customers. The company is growing faster than anyone in the company dared to imagine, making triple-digit revenue gains year over year.
挑战
Ticketfly is a rapidly growing company that provides a data-driven ticketing and marketing platform for professional event promoters and venues in the United States and Canada. The company's growth has brought its own set of challenges. As the company gears up for another summer concert season, it is aware that its system will undergo an immense amount of stress. To prepare for that, the company needs to achieve a 10x increase in site performance. For Ticketfly, site performance is far from a vague ideal — it’s a business imperative. Event attendees are looking to spend their discretionary time on a first-rate experience and they have zero tolerance for slow or unresponsive systems in any part of the process. If Ticketfly messes up, it's bad for them, but it's even worse for the venues. They provide key support to those venues. Their success is linked to Ticketfly's. And the more popular Ticketfly gets, the more insight it needs to maintain the highest levels of performance.
解决方案
Ticketfly uses the New Relic Platform to keep a close eye on the frontend ticket-purchasing application and the backend event management application. The platform provides visibility into pageviews per minute, throughput, and error rates. It also allows the company to visualize overall performance and respond quickly to sudden surges in traffic by spinning up instances in the cloud. By instrumenting Ticketfly’s revenue data through the New Relic dashboard, the company is able to generate up-to-the-minute reports on sales performance. The New Relic Platform stores all of Ticketfly’s favorite metrics in a single view, helping the company achieve instant visibility into an increasingly complex environment. The company can choose from a number of plugins already created by an open community of developers, or they can create their own plugins to solve unique problems.
运营影响
  • By using the New Relic Platform to unify multiple views within a single interface, Ticketfly isn’t just saving time. The company is achieving a deeper understanding of a broader range of data.
  • The level of visibility has enabled the team to achieve stunning reductions in error rates.
  • The company is able to make breakthroughs in solving problems much faster.
  • The improvements help Ticketfly serve customers even better.
数量效益
  • In just one 12 week period, errors in the WordPress stack dropped by 98%.
  • The ticket-purchasing application’s error rate dropped to zero percent.
  • Average response time got faster — from 800 milliseconds to just 250 milliseconds.
  • During that same 12 week period, requests jumped 300%.

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