Lenses

Nuvo, a hyper-growth Medtech company, is revolutionizing pregnancy care by pioneering the future of connected healthcare. However, this innovation comes with the challenge of ensuring that engineers can access and use streaming data in compliance with regulations. The company's data products, which include wearable bands collecting biosensory data, web services for health practitioners, and AI-powered insights on fetal heart rate, roll out at an impressive rate for a heavily regulated organization. A few years ago, Nuvo completely overhauled and modernized their data infrastructure to accommodate streaming data and applications. They needed a system that could reliably capture and transform 18,000 packets of electro and phonocardiogram per minute, along with other biometric data. However, RabbitMQ did not provide the flexibility Nuvo required.

Article, a digital retail leader, was faced with a sudden surge in demand during the COVID-19 pandemic. The company, which had already embarked on a 2-5 year project in 2019 to modernize their systems by breaking up their monolith into domain applications, was forced to accelerate this process. The pandemic-induced digital shift led to a significant increase in the eCommerce share of the furniture market. Article, being a digital-only retailer, was faced with a tsunami of orders, equivalent to three months’ worth of Black Fridays. The engineering team had to prioritize protecting customer experience, optimizing order processing, tracking, and fulfillment, and improving communication services to keep customers updated on their orders. The developers also had to navigate complex questions about Apache Kafka, a technology they were using as part of their event-driven architecture.