eHarmony Selects Redis Enterprise for Unmatched Real-Time Performance
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- Redis Enterprise
- Redis Enterprise Pack
- Voldemort
技术栈
- Redis
- Machine Learning Algorithms
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Productivity Improvements
- Digital Expertise
技术
- 平台即服务 (PaaS) - 数据管理平台
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - 数据库管理和存储
适用行业
- Software
- Professional Service
适用功能
- 商业运营
- 产品研发
用例
- 实时定位系统 (RTLS)
- 远程资产管理
服务
- 系统集成
- 软件设计与工程服务
- 培训
关于客户
eHarmony is a leading online relationship services provider known for its trusted matchmaking services. With a user base of over 54 million, eHarmony makes up to 15 million matches per day. The company has been matching like-minded singles since the turn of the century, making it one of the most enduring and successful online relationship services globally. As the user base and feature set have grown, maintaining high performance and a seamless, real-time customer experience has become a top priority for eHarmony. The company relies on advanced machine learning algorithms to anticipate user compatibility and offers real-time match computations to enhance the user experience.
挑战
eHarmony faced significant challenges with its legacy data store, Voldemort, which struggled to meet the real-time personalization demands of the matchmaking service. The key issues included ever-growing key sizes due to Voldemort's plain key-value store limitations, less than ideal performance as the user base grew, and a lack of community support since Voldemort was originally developed by LinkedIn engineers and never received enterprise backing. These challenges made it difficult for eHarmony to maintain high performance and seamless, real-time customer experience, risking customer loss due to delays in displaying matches.
解决方案
To address the challenges posed by Voldemort, eHarmony selected Redis Enterprise for its real-time database operations. Redis Enterprise's flexible data structures, such as the Hash data structure, allowed eHarmony to simplify the storage of user activity and reduce the operational burden. Initially used for user authentication, Redis's role expanded to include all real-time use cases, enabling eHarmony to deliver personalized experiences to hundreds of thousands of concurrent users. To further minimize operational overhead, eHarmony deployed Redis Enterprise Pack, which offers high performance, flexibility, and simplicity without the complexities of maintaining multiple Redis instances. The automated management features and 24/7 expert support from Redis Labs provided the low-touch yet robust technology platform eHarmony needed.
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