Microsoft Uses Redis Enterprise to Handle Traffic Spikes
公司规模
1,000+
国家
- United States
产品
- Redis Enterprise
技术栈
- Redis
- In-memory database
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 实时分析
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 电子商务
- Software
适用功能
- 商业运营
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
Microsoft Network Services (MSN) is a comprehensive web portal by Microsoft, offering a variety of Internet services and applications for both Windows and mobile devices. Serving billions of clients globally, MSN requires its applications to operate seamlessly and efficiently, even during periods of high traffic. The need for stable and scalable performance is critical to maintaining user satisfaction and operational efficiency. To address these needs, MSN leverages Redis Enterprise, a high-performance in-memory database platform provided by Redis Labs, known for its stability, high availability, and seamless scalability.
挑战
Microsoft Network Services (MSN) faced significant challenges in managing high traffic volumes, especially during peak times when traffic could reach up to 2 billion. The primary issues included high latency and slow response times from other databases, which were unable to handle the required volume and throughput of data. These performance bottlenecks necessitated a robust solution to ensure smooth and efficient operation of their applications, particularly during traffic spikes.
解决方案
To address the challenges of high latency and limited data throughput, Microsoft Network Services (MSN) implemented Redis Enterprise. This solution was chosen for its ability to handle large datasets, ranging from 10 to 100 GB, and its robust scalability features. Redis Enterprise is utilized for content caching and scalability tiers, ensuring that applications can manage increased usage and user counts effectively. Additionally, Redis Enterprise supports targeting and personalization, as well as social channels and customer engagement, enhancing the overall user experience. The decision to increase the usage of Redis Enterprise was driven by the need to scale operations across multiple locations and sites, ensuring consistent performance and reliability.
运营影响
数量效益
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