In this joint session, we’ll share our experience designing and developing a globally accessible, multi-tenant IoT platform tailored to the needs of the railway industry. Developed in close collaboration with Frauscher Sensortechnik, a leading provider of innovative railway sensor solutions, the platform is built to scale, evolve, and deliver real-time, high-quality insights from a rapidly growing network of sensors.

We’ll explore the architectural drivers that shaped the platform and take a deep dive into its core architecture, including how we leveraged CosmosDB to meet multi-tenant requirements, and used Azure Machine Learning Studio to power predictive maintenance and advanced analytics. The session will also highlight our pragmatic, scalable data architecture, including how we designed and optimized data pipelines to ensure consistent, validated, and reliable IoT data.

With a focus on technical attendees and strategic insights for business stakeholders, you’ll gain both practical takeaways and real-world lessons from a collaborative, customer-centric approach.

What You’ll Learn:

• Azure Data Architecture leveraging CosmosDB for IoT Use Cases
• Architecture Overview
• How to use CosmosDB as a hot storage solution in a multi-tenant environment
• Strategies for handling noisy neighbors (tenants) and isolating workloads
• How to use autoscaling and cost-optimization features effectively
• Utilizing built-in features like Time to Live (TTL) for data lifecycle management
• Data Engineering & Machine Learning
• Best practices for building data pipelines to process, validate, and clean IoT data
• Approaches to integrating machine learning models for predictive maintenance
• Techniques for maintaining data quality, integrity, and trustworthiness
• Business Impact (presented directly by Frauscher Sensortechnik)
• Enhanced Customer Experience: Real-time monitoring and predictive insights allow railway operators to respond faster, reduce downtime, and deliver more reliable services to passengers.
• New Digital Services: The IoT platform enables Frauscher to offer innovative, data-driven services—creating new business models and revenue streams.
• Global Scalability: A unified, cloud-native architecture allows Frauscher to scale seamlessly across international markets while maintaining performance and compliance.
• Data-Driven Decision Making: High-quality, validated sensor data empowers customers and internal teams to make faster, smarter operational decisions.

Co-Speaker will come from our customer Frauscher Sensortechnik. Will be defined in the upcoming weeks.