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Kafka for Real-Time Replication Between Edge and Hybrid Cloud

Not all workloads should go to the cloud! Low latency, cybersecurity, and cost-efficiency require a suitable combination of edge computing and cloud integration. This blog post explores architectures and design patterns for software and hardware considerations to deploy hybrid data streaming with Apache Kafka anywhere. A live demo shows data synchronization from the edge to the public cloud across continents with Kafka on Hivecell edge hardware and serverless Confluent Cloud.

Not Every Workload Should Go Into the Cloud

Almost every company has a cloud-first strategy in the meantime. Nevertheless, not all workloads should be deployed in the public cloud. A few reasons why IT applications still run at the edge or in a local data center:

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Smart City With an Event Streaming Platform Like Apache Kafka

A smart city is an urban area that uses different types of electronic Internet of Things (IoT) sensors to collect data and then use insights gained from that data to manage assets, resources, and services efficiently. This includes data collected from citizens, devices, and assets that are processed and analyzed to monitor and manage traffic and transportation systems, power plants, utilities, water supply networks, waste management, crime detection, information systems, schools, libraries, hospitals, and other community services.

You may also like: Smart Cities: Who Wins and Who Loses?

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The Sensor Technology That Can Assess Reproductive Health

A couple of years ago, researchers at the Prague Fertility Center used AI as part of the IVF process. They believed that their work was the first automated technology to use AI to recognize and sort embryos.

Now, a team from Imperial College London and the University of Hong Kong have developed sensor technology that they believe can measure hormones in real time and provide a reliable assessment of fertility.