How can I do request-response communication with Apache Kafka? That’s one of the most common questions I get regularly. This blog post explores when (not) to use this message exchange pattern, the differences between synchronous and asynchronous communication, the pros and cons compared to CQRS and event sourcing, and how to implement request-response within the data streaming infrastructure.
IT modernization and innovative new technologies change the healthcare industry significantly. This blog series explores how data streaming with Apache Kafka enables real-time data processing and business process automation. This is part three: Streaming ETL. Examples include Babylon Health and Bayer.
Should I use Apache Camel or Apache Kafka for my next integration project? The question is very valid and comes up regularly. This blog post explores both open-source frameworks and explains the difference between application integration and event streaming. The comparison discusses when to use Kafka or Camel, when to combine them, when not to use them at all. A decision tree shows how you can quickly qualify out one for the other.
The rise of data in motion in the insurance industry is visible across all lines of business including life, healthcare, travel, vehicle, and others. Apache Kafka changes how enterprises rethink data. This blog post explores use cases and architectures for insurance-related event streaming. Real-world examples from Generali, Centene, Humana, and Tesla show innovative data integration and stream processing in real-time.
Apache Kafka and MQTT are a perfect combination for many IoT use cases. This blog series covers the pros and cons of both technologies. Various use cases across industries, including connected vehicles, manufacturing, mobility services, and smart city are explored. The examples use different architectures, including lightweight edge scenarios, hybrid integrations, and serverless cloud solutions. This post is part four: Mobility Services and Transportation.
The digital transformation connects the world. People, vehicles, factories, cities, digital services, and other “things” communicate with each other in real-time to provide a safe environment, efficient processes, and a fantastic user experience. This scenario only works well with data processing in real-time at scale. This blog post shares a presentation that explains why Apache Kafka plays a key role not just in one of these industries or use cases, but also to connect the different stakeholders to each other.
This blog post explores an infrastructure checklist to build an open, flexible, and scalable event streaming architecture with Apache Kafka at the edge outside data centers.
Use cases and architectures for Kafka deployments at the edge, including retail stores, cell towers, trains, small factories, restaurants… Hardware and software components to realize edge and hybrid Kafka infrastructures.
Time to get more innovative; even with the mainframe! This blog post covers the steps I have seen…
A digital twin is a virtual representation of something else. This can be a physical thing, process or…