Case Study
Global energy leader boosts efficiency and reduces downtime with intelligent, cloud-based data center monitoring
OUR CLIENT
This European multinational energy services company generates low-carbon electricity from natural gas and renewable sources, designs, builds, and operates gas and electric utility infrastructure, and provides a broad range of energy solutions for individuals, commercial entities, and government agencies. The company supplies energy to more than 30 countries worldwide, operates in Europe, the Asia-Pacific region, and the United States, and generates approximately €85 billion in annual revenue.
THE CHALLENGE
Outdated data center electricity monitoring system negatively impacted reliability and costs
The client needed to replace its legacy data center electricity monitoring system with an intelligent solution to gain predictive analytics and real-time insights to reduce risks, optimize utility performance, and control costs. Without advanced analytics, the company faced unplanned downtime and rising maintenance costs—directly impacting service reliability, operating margins, and customer confidence. Data center managers also lacked real-time insights to make data-driven decisions that could improve efficiency and reduce the operating costs.
As global demand grew, scalability became mission critical. The legacy system simply couldn’t keep pace, limiting the company’s ability to expand into new markets. The company needed a skilled technology partner to help develop and rapidly deploy an intelligent, scalable, cloud-based data center monitoring solution with predictive analytics to enhance reliability, regulatory compliance, and customer confidence to meet market demands and support growth.
THE TRANSFORMATION
Delivered cloud-based data center monitoring solution with predictive analytics
UST partnered with the client from strategy through implementation, helping define the architectural vision, identify the right AWS technologies, and align technical decisions with business priorities, such as sustainability and operational efficiency. This collaborative approach ensured the solution wasn’t just a system upgrade, but a strategic enabler for growth and innovation across the company’s expanding global footprint.
UST delivered an intelligent data center monitoring solution coupled with ambient-condition monitoring using IoT devices and sensors, leveraging an AWS big data technology stack. This robust, scalable architecture, utilizing Amazon Kinesis, Apache Spark with ML capabilities, Amazon DynamoDB, Elasticsearch, AWS Lambda, Amazon Cognito, and the Play Framework, enabled the company to efficiently process and analyze large volumes of data in real-time. The solution was developed with an agile methodology, ensuring rapid, iterative feature delivery and flexibility to adapt to changing requirements.
By introducing ML-driven anomaly detection on real time data, UST enabled the client to predict issues and prevent potential failures. The ML models automatically detected data issues, providing early warnings and actionable insights to reduce downtime and optimize performance.
UST also implemented KPI calculations for key parameters for predictive maintenance and carbon footprint analytics. The KPIs provided detailed insights into energy equipment health and the environmental impact of operations, enabling data-driven decision-making to align the company's operational efficiency with its sustainability goals.
The enterprise-grade solution was rigorously performance-tested to ensure it could scale to seamlessly monitor thousands of data center devices. This scalability was crucial to support the company’s expanding operations and increasing data load without compromising performance. The AWS cloud-based services provided a flexible, cost-effective technology foundation that could easily scale up or down based on demand.
The company can now automatically detect and predict potential data center failures in real-time, enabling it to optimize system performance and prevent downtime. Data center managers can also make data-driven decisions to improve both operational efficiency and sustainability.
THE IMPACT
Intelligent monitoring solution reduces disruptions and boosts customer satisfaction
UST's scalable, cloud-based data center solution reduced downtime, improved energy efficiency, and provided measurable sustainability insights. The company can now effortlessly expand its monitoring capabilities across multiple locations, accommodating growth without substantial hardware or infrastructure investments. This scalability ensured that as the energy company expanded its operations, the monitoring system could keep pace and provide consistent, reliable performance.
With predictive analytics, the company can prevent failures before they occur, ensuring uptime, regulatory compliance, and customer trust. Additionally, the predictive analytics were designed with a focus on sustainability, allowing the company to monitor and reduce its carbon footprint. By optimizing energy usage and identifying inefficiencies, the company can implement practices to achieve its environmental goals.
The cloud-based solution also enabled the company to deploy new data centers more quickly and efficiently, including integrating monitored systems, boosting its competitive edge, enabling faster responsiveness to market demands and customer needs.
Furthermore, enhanced uptime and reliability increased customer satisfaction and loyalty with fewer disruptions and more consistent service. The scalability, combined with predictive analytics insights, enabled the company to optimize operational costs, reduce data center maintenance, and decrease energy consumption costs. Overall, UST's solution empowered the client to operate more efficiently, sustainably, and competitively in a fast-paced and ever-evolving energy industry.
Discover how UST can help you harness predictive analytics and cloud innovation to drive efficiency, sustainability, and growth. Learn more here.
RESOURCES
https://www.ust.com/en/cloud/infrastructure
https://www.ust.com/en/insights/data-center-monitoring-platform-with-iot-analytics-on-aws-cloud