Redis Enterprise Helps Scholica Scale Seamlessly and Reduce Downtime by Over 70%
公司规模
11-200
产品
- Redis Enterprise
- Scholica Cloud
- Scholica Search
技术栈
- Redis Labs
- RDBMS-es (Microsoft SQL Server, Oracle, MySQL)
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 预测分析
- 平台即服务 (PaaS) - 应用开发平台
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 教育
适用功能
- 商业运营
- 产品研发
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
Scholica is an e-learning system designed to improve the speed and performance of education technologies. Their main product simplifies the creation of online courses by allowing teachers to combine various types of content. Scholica Search enables quick content searches for educators, while Scholica Cloud offers a scalable, customizable online learning platform for schools and large businesses. Developers can easily build custom applications, and the platform supports industry standards for seamless integration into existing workflows. Scholica needed a high-performance database to match their mission, and Redis Enterprise was chosen for its low operating cost and high performance.
挑战
The business challenges that led the profiled company to evaluate and ultimately select Redis Labs included the need for high availability, persistence, auto-failover, cross-zone/multiregion/multi-datacenter in-memory replication, seamless scaling & clustering, and stable, high performance.
解决方案
Scholica implemented Redis Enterprise to support their mobile and internal corporate applications. Redis Enterprise provided high availability with features like persistence, auto-failover, and cross-zone/multiregion/multi-datacenter in-memory replication. The platform also offered seamless scaling and clustering, ensuring stable and high performance. Scholica utilized Redis Labs for job and queue management and scalability tier/content caching. The integration of Redis Enterprise allowed Scholica to handle increasing data sizes and processing needs, growing application usage, and user count. They also planned to migrate additional data from other databases like Microsoft SQL Server, Oracle, and MySQL to Redis Labs.
运营影响
数量效益
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