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Rumble Entertainment Diagnoses Issues in Production 1,000 Times Faster with New Relic
技术
- 应用基础设施与中间件 - API 集成与管理
- 基础设施即服务 (IaaS) - 云计算
适用功能
- 离散制造
用例
- 预测性维护
- 实时定位系统 (RTLS)
服务
- 云规划/设计/实施服务
挑战
Rumble Entertainment, a gaming company, was facing challenges in diagnosing performance issues in their applications. The company was using open source tools for monitoring their applications, but the process was inefficient and time-consuming. They lacked easy access to historical data and had limited error monitoring capabilities. The company considered developing an in-house tool for monitoring applications, but it would require significant time and resources, which they could not afford to spare. The company needed a solution that could provide real-time data in an easy-to-consume format and track application latency.
关于客户
Rumble Entertainment is a gaming company based in Redwood City, California. The company is dedicated to creating polished games and shared experiences that embrace the digital world. The team at Rumble Entertainment believes in a customer-led approach to delivering great games. Their upcoming slate of games for 2013 are free to play and available across a variety of browsers, mobile devices, and social networks. The company runs on AWS, with large server clusters scaling up and down to accommodate heavy usage by gamers from around the world. Most of their applications are written in Java.
解决方案
Rumble Entertainment implemented New Relic, a software that became a critical part of their environment within just two months. New Relic was installed on every server to ensure flexibility and continuity of service. The software's user interface was a major differentiator, providing real-time data in an easy-to-consume format. New Relic also offered the ability to monitor application response time, a feature that was lacking in the open source tools Rumble Entertainment was previously using. The software aggregates data on the browser, the database, and the platform, making it easy to spot errors and plot them to when they occurred. New Relic also scales to aggregate statistics across a large cluster and retains that data for on-the-spot historical analysis.
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数量效益
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