Case Studies Utilitywise Increases Performance of IoT Application Using Redise Pack

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	Utilitywise Increases Performance of IoT Application Using Redise Pack

Utilitywise Increases Performance of IoT Application Using Redise Pack

Technology Category	Analytics & Modeling - Real Time Analytics Networks & Connectivity - Low-Power Wide-Area Network Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries	Buildings Utilities
Applicable Functions	Business Operation Facility Management
Use Cases	Building Energy Management Predictive Maintenance Remote Asset Management
Services	Software Design & Engineering Services System Integration
Challenge	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. Read More
About Customer	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. Read More
Solution	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. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Networks & Connectivity - Low-Power Wide-Area Network

Platform as a Service (PaaS) - Data Management Platforms

Applicable Industries

Buildings

Utilities

Applicable Functions

Business Operation

Facility Management

Use Cases

Building Energy Management

Predictive Maintenance

Remote Asset Management

Services

Software Design & Engineering Services

System Integration

Challenge

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.

About Customer

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.

Solution

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.

Impact #1	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.
Impact #2	The Redis Labs solution handles rapidly moving data efficiently, reducing the load on Microsoft SQL servers.
Impact #3	Redise Pack offers built-in high availability with persistence, replication across zones, and instant automatic failover.

Impact #1

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.

Impact #2

The Redis Labs solution handles rapidly moving data efficiently, reducing the load on Microsoft SQL servers.

Impact #3

Redise Pack offers built-in high availability with persistence, replication across zones, and instant automatic failover.

Benefit #1	Reduced application downtime by 50-70%.
Benefit #2	Achieved 300% higher performance for the IoT application.
Benefit #3	Substantially reduced application latencies by 1,000x.

Benefit #1

Reduced application downtime by 50-70%.

Benefit #2

Achieved 300% higher performance for the IoT application.

Benefit #3

Substantially reduced application latencies by 1,000x.

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Overview

Utilitywise Increases Performance of IoT Application Using Redise Pack

Operational Impact

Quantitative Benefit