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 five: Smart City and 5G.
Hybrid cloud architectures are the new black for most companies. A cloud-first is obvious for many, but legacy infrastructure has to be maintained, integrated, and (maybe) replaced over time. Event Streaming with the Apache Kafka ecosystem is a perfect technology for building hybrid replication in real-time at scale.
The rise of event streaming in financial services is growing like crazy. Continuous real-time data integration and processing are mandatory for many use cases. Apache Kafka is deployed across the financial services business departments for mission-critical transactional workloads and big data analytics. High scalability, high reliability, and an elastic open infrastructure are the key reasons for the success of Kafka. This blog post explores different use cases, architectures, and real-world examples in the FinServ sector.
Postmodern ERP represents the next generation of ERP architectures. It is real-time, scalable, and open by using a combination of open source technologies and proprietary standard software. This blog post explores why and how companies, both software vendors and end-users, leverage event streaming with Apache Kafka to implement a Postmodern ERP.
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