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Skydrop Updates Information in Real-Time for its IoT Water Conservation Solution
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) - 连接平台
适用行业
- 消费品
适用功能
- 设施管理
用例
- 预测性维护
- 远程控制
- 智能灌溉
服务
- 云规划/设计/实施服务
- 系统集成
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, as well as difficulty operating, scaling, and administering other databases. These issues were critical as Skydrop needed a reliable and efficient database solution to handle real-time weather data for their smart sprinkler controller. The company faced significant operational hurdles with their previous database systems, which could not meet the demands of their growing application usage and user count. The need for a high-performance, scalable, and easy-to-administer database solution was paramount to ensure the efficient functioning of their IoT water conservation solution.
关于客户
Skydrop is a company that specializes in creating smart sprinkler controllers designed to save water by automatically adjusting watering schedules based on various indicators. Their flagship product, the Skydrop Smart Sprinkler Controller, leverages hyperlocal, real-time weather data to intelligently water landscapes, thereby optimizing water usage and reducing costs. The company operates in the consumer products industry and is classified as a small business. Skydrop's innovative approach to water conservation has made it a notable player in the IoT space, particularly in the realm of smart home and garden solutions. By integrating advanced technology with practical applications, Skydrop aims to provide users with efficient and sustainable water management solutions.
解决方案
To address the challenges of high latency, slow response times, and difficulties in scaling and administering their previous databases, Skydrop chose Redis Enterprise as their database solution. Redis Enterprise was selected for its high-speed transactions, user session store capabilities, messaging, job and queue management, and scalability tier/content caching. The company uses a 1-10 GB dataset in Redis Enterprise, which powers their IoT cloud service. This service interprets hyperlocal, real-time weather data to intelligently water landscapes, ensuring optimal water usage. Redis Enterprise's stability and high performance were key factors in its selection, providing Skydrop with the reliability needed for their application. The company also increased their usage of Redis Enterprise due to the growing application usage and user count, aiming to serve more pieces of their application faster. Additionally, Skydrop plans to move more data from other databases, such as MongoDB, into Redis Enterprise to further streamline their operations.
运营影响
数量效益
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