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How we enhanced 42% operational efficiency with real time IoT monitoring solutions

Our client specializes in designing and installing customized energy solutions, including solar panels and wind turbines. Their expertise lies in providing businesses with tailored renewable energy solutions, enabling them to reduce their environmental impact and embrace sustainable practices.

42%

Enhanced operational efficiency

38%

Reduced costs

65%

Improved decision making

Upgraded the client’s legacy authentication system to OAuth 2.0

Industry

Energy

Service

Real-Time IoT Monitoring Solution 

Tech Stack

Confluent Cloud (Kafka), HiveMQ, MongoDB 

Challenges: Lack of efficient renewable energy oversight hinders manufacturing businesses

Our client faced a significant challenge in effectively overseeing their IoT devices responsible for generating and storing renewable energy. They lacked a mechanism to instantly monitor these critical assets, making it difficult to track energy usage patterns and manage the devices efficiently. Expensive disruptions and manual tracking struggles ensued, prompting them to seek our assistance in developing a live data streaming web application.

To overcome all these issues, they sought a team of experts to develop a live data streaming web application, provide instantaneous monitoring and control over their renewable energy assets

Solution: Tailored real-time IoT monitoring application with Kafka and HiveMQ for enhanced operational efficiency

We meticulously collected and documented the client’s requirements, crafting a detailed architectural blueprint and comprehensive design documents for each component. Understanding their needs, we recommended Kafka, a high-throughput messaging platform, to enhance reliability and reduce manual intervention, while leveraging Confluent Cloud as our cloud service provider.

Given the IoT nature of their data sources, including batteries and capacitors, we utilized HiveMQ as a robust broker to seamlessly integrate IoT data into the Kafka ecosystem. Fine-tuning configurations for optimal performance, we incorporated custom features for device validations and Power Optimizations, utilizing multiple Kafka Streams Processors and KSQLDB clusters.

Integrating Confluent Cloud with MongoDB via Kafka Connect connectors facilitated data storage for visualization and reporting, while custom Java consumer applications updated device statuses in real time. Custom Kafka processors were developed to generate alerts in case of issues, and we ensured schema compatibility for seamless integration.

Adhering to industry best practices, we implemented proactive monitoring and ongoing support through tools like GitLab for continuous integration/continuous deployment (CI/CD), ensuring efficient issue resolution during execution.

Benefits: 38% reduced operational costs and 42% enhanced operational efficiency

  • Real-time monitoring improved operational efficiency by 42%, enabling proactive management of renewable energy assets and minimizing downtime.
  • Reduced operational costs by about 38% through optimized energy production and streamlined operations.
  • Unified data management platform provided valuable real-time insights, driving decision-making efficiency by 65%.
  • Automated alerts and predictive maintenance capabilities boosted productivity by 63%.
  • Facilitated scalability and adaptability, supporting business growth by 20% in renewable energy initiatives.

Ready to revolutionize your renewable energy management with real-time monitoring?

Whether you’re grappling with manual tracking struggles or seeking to optimize energy production, we have the expertise to address your challenges effectively.

Our team at zeb is committed to understanding your unique requirements and delivering customized solutions that drive operational efficiency and cost savings.

Partner with us to embark on the journey towards enhanced renewable energy management and sustainable business practices.

Partner with us

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