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实例探究 > Utilitywise Increases Performance of IoT Application Using Redise Pack

Utilitywise Increases Performance of IoT Application Using Redise Pack

技术
  • 分析与建模 - 实时分析
  • 网络与连接 - 低功耗广域网
  • 平台即服务 (PaaS) - 数据管理平台
适用行业
  • 建筑物
  • 公用事业
适用功能
  • 商业运营
  • 设施管理
用例
  • 建筑能源管理
  • 预测性维护
  • 远程资产管理
服务
  • 软件设计与工程服务
  • 系统集成
挑战
The Utilitywise IoT application streams live data from buildings, enabling users to control their business energy assets from their phones. The application operates physical devices in buildings including lighting, heating, and ventilation systems. The Utilitywise IoT application requires extremely fast data ingest as well as rapid processing of data for analytics. The application uses a Microsoft SQL Server and Datastax Cassandra backend, but needed a higher performance database technology to enable it to easily scale.
关于客户
Utilitywise is a utilities broker and energy services company that bridges suppliers and consumers of power. As one of the UK’s leading independent consultancies, Utilitywise is now helping over 30,000 clients become more energy efficient. By streamlining all procurement processes and the delivery of energy services, Utilitywise’s customers can spend less time worrying about their utility spend and focus on running their companies.
解决方案
Utilitywise chose the Redise Pack solution from Redis Labs for its real-time data ingest, content caching, and analytics applications. Redise Pack extends open source Redis and delivers operational benefits of stable, high performance, zero-downtime linear scaling and hassle-free true high availability with substantially lower operational costs. The Redise Pack solution is enabling Utilitywise to create a high performance caching layer for the IoT application. It also helped them process streaming data from SignalR on MS Azure with the extremely low latencies they needed. By moving to Redise Pack, Utilitywise was able to cut the latencies on their IoT application from seconds to milliseconds.
运营影响
  • Redise Pack allows Utilitywise to respond instantaneously to actions detected, so that power consumption can be controlled and managed in real time for energy savings.
  • The Redis Labs solution handles rapidly moving data efficiently, reducing the load on Microsoft SQL servers.
  • Redise Pack offers built-in high availability with persistence, replication across zones, and instant automatic failover.
数量效益
  • Reduced application downtime by 50-70%.
  • Achieved 300% higher performance for the IoT application.
  • Substantially reduced application latencies by 1,000x.

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