Redis Labs Helps Jelly Button Games Deliver its Applications Faster and More Reliably
公司规模
SME
地区
- Middle East
国家
- Israel
产品
- Redis Enterprise
技术栈
- In-memory database
- Timeseries database
- Pub/Sub
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
技术
- 平台即服务 (PaaS) - 数据管理平台
- 分析与建模 - 实时分析
适用行业
- Software
- 电子商务
适用功能
- 产品研发
- 商业运营
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
Jelly Button Games, founded in 2011 and based in Tel-Aviv, Israel, is a developer of multiplayer free-to-play games. The company is known for its popular game Pirate Kings, which has 80 million users and 100 million installs overall. Jelly Button Games leverages Redis Enterprise to manage its social functionality and session store, ensuring greater reliability and higher speed for its applications.
挑战
Jelly Button Games faced significant challenges with their viral hit game, Pirate Kings, which saw a massive increase in daily active users from 1,000 to 3.5 million in less than a month. This surge translated to 1 million requests per minute, overwhelming the operations staff. The game's real-time interactions required fast read and write capabilities to maintain an engaging and interactive experience. Additionally, Jelly Button needed to address high availability, seamless scaling, monitoring and management, and 24×7 support for their mission-critical Redis layer.
解决方案
Jelly Button Games implemented Redis Enterprise as a versatile solution for various needs, including caching, leaderboards, persistent database, pub/sub, and timeseries database. Redis Enterprise's high-speed transactions and user session store capabilities helped maintain latency under 25 milliseconds per operation. The platform's features, such as high availability, seamless scaling, and robust monitoring and management, were crucial in handling the massive user base and real-time interactions of Pirate Kings. Redis Enterprise's deep operational and technical expertise provided Jelly Button with the necessary support to manage their growing data size and processing needs.
运营影响
数量效益
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