Redis Enterprise’s High Availability is Essential for this Fortune 500 Transportation Services Company’s IoT and ECommerce Solutions
公司规模
1,000+
产品
- Redis Enterprise
技术栈
- In-memory database
- High-speed transactions
- Auto-failover
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
技术
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - 数据交换与集成
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 电子商务
- 运输
适用功能
- 商业运营
- 物流运输
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
This Fortune 500 company is a provider of multimodal transportation services and third-party logistics, striving to refine their customer’s supply chain processes. As one of the world’s largest third-party logistics providers, the company offers a broad portfolio of logistics services, fresh produce sourcing, and Managed Services through a growing global network. The company faced challenges with their existing database solutions, which were unable to keep up with the growing user base and the need for faster response times and lower latency. To address these issues, they turned to Redis Enterprise for its high availability and performance capabilities.
挑战
The business challenges that led the profiled company to evaluate and ultimately select Redis Enterprise included high latency and slow response times from other databases. The company needed to scale to multiple locations and serve more pieces of their applications faster, but their current database had too slow of response times and high latency issues. This was particularly problematic as their user base was growing, and they needed a solution that could handle increased application usage and user count efficiently.
解决方案
The company chose Redis Enterprise to address their challenges with high latency and slow response times. Redis Enterprise was selected for its high availability features, including persistence, auto-failover, and cross-zone/multiregion/multi-datacenter in-memory replication. The company uses Redis Enterprise for high-speed transactions, user session stores, and scalability tier/content caching. They have a 100 – 500 GB dataset in Redis Enterprise and have increased their usage of the platform to handle growing application usage and user count. Redis Enterprise is used in their IoT and ECommerce solutions, as well as for targeting/personalization.
运营影响
数量效益
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