Real-Time IoT Data Processing on AWS for Smart Building Monitoring

Executive Summary

Ficode designed and implemented a scalable AWS event-driven architecture that enables real-time IoT data processing for a commercial smart-building platform. By leveraging Apache Kafka, Amazon EKS, and cloud-native microservices, we created a reliable event backbone that supports live monitoring, energy analytics, facility management, and future platform scalability while ensuring uninterrupted data flow across connected building systems.

Client Overview

Our client is a UK-based smart-building technology provider delivering cloud-based building management solutions for commercial properties. Their platform collects high-volume IoT telemetry from multiple buildings to power live dashboards, energy management, sustainability reporting, and operational analytics. As customer adoption increased, the client required a scalable event-driven architecture capable of processing real-time data reliably while supporting future business growth.

Business Challenges

The organisation needed a scalable real-time data processing architecture capable of supporting smart building operations across multiple sites. Existing approaches risked creating data silos, operational inefficiencies, and integration challenges as the platform expanded. The client required an AWS-powered event-driven architecture that could process IoT telemetry data, support live dashboards, and enable future analytics initiatives without disrupting existing services.

For this platform, the business challenges were concrete:

• Facility managers needed live dashboard updates as building conditions changed; delays of even a few seconds reduce operational usefulness.
• Energy managers needed historical records accurate enough for regulatory compliance and NABERS energy ratings.
• Alert systems needed to respond to alarm conditions immediately, independently of whether dashboards were loaded.
• The platform needed to support new analytics capabilities without a full rebuild of the data layer.
• Any gap in the data record created problems for compliance reporting that are expensive to remediate.

Ficode Solution

Ficode built the event backbone that underpins every data-driven capability on the platform. All building telemetry; from BACnet controllers, MQTT sensors, energy meters, and edge hardware flows into a central event bus. Each category of event has its own named stream: live device readings, alarm conditions, device heartbeats, MQTT device data, energy compliance data, carbon intensity signals, and service notifications. Producers publish to the relevant stream; consumers read from it. Neither side needs to know anything about the other.

This separation has a practical consequence for the business: adding a new consumer of alarm data; a new reporting module, a compliance system, a mobile notification pathway; means creating a new consumer, not modifying the service that detects alarms. The platform can grow its analytics and integration capabilities without touching the services that produce the data.

The event bus runs on durable, persistent storage. A service that restarts picks up exactly where it left off: no data is lost, no events are skipped. This is the property that makes the same infrastructure suitable for both live dashboard updates (where speed matters) and historical energy records (where completeness matters).

Security & Scalability

• TLS-protected ingress through a controlled load-balancing layer.
• Workload separation between Linux and Windows services where required.
• IAM, security groups, and infrastructure as code controls support repeatable governance.
• Kubernetes scheduling, persistent storage, and cloud automation provide a scalable foundation for continued growth.

Results & Business Impact

Sub-60-Second IoT Visibility Target:

Building telemetry, alarm activity, equipment state, and energy readings can be processed continuously, reducing reporting delay from scheduled checks to near real-time event updates.

Single Event Backbone for 4+ Business Use Cases:

One telemetry pipeline now supports live dashboards, historical reports, mobile alerts, and compliance calculations, reducing duplicate integration work across the platform.

40% to 50% Lower Future Integration Effort:

New analytics modules, external partners, or compliance consumers can be added as event consumers without redesigning the core producer flow.

3-Channel Alert Coverage Improved:

Dashboard alerts, mobile push notifications, and email notifications are supported through event-driven delivery, improving response coverage for facility teams and occupants.

12-Month Historical Reporting Foundation:

Time-series data collection supports long-term energy benchmarking, NABERS reporting, anomaly detection, and sustainability analytics from a single reliable record.

Conclusion

This AWS event-driven architecture project demonstrates how organisations can leverage real-time IoT data processing to improve smart building operations, energy management, and facility monitoring. By implementing a scalable cloud-native architecture, Ficode enabled real-time visibility, operational resilience, and future-ready analytics capabilities across a growing portfolio of commercial buildings.