Azure Event Hubs for Apache Kafka is now available

With Azure Event Hubs for Apache Kafka, we’re bringing together two powerful distributed streaming platforms so you can access the breadth of Kafka ecosystem applications without having to manage servers or networks. Event Hubs is a fully managed, real-time data ingestion service that’s simple, trusted and scalable. As a distributed streaming platform, Event Hubs lets you stream your data from any source – storing and processing millions of events per second – so you can build dynamic data pipelines and respond to business challenges in real time. Event Hubs for Kafka provides a Kafka endpoint so that any Kafka client running Kafka 1.0 or newer protocols can publish and subscribe events to and from Event Hubs with a simple configuration change. Easily access Kafka ecosystem applications such as MirrorMaker while also benefitting from Event Hubs features such as [Capture](https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-capture-overview) (automatic delivery to Blob or Data Lake storage), [Auto-Inflate](https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-auto-inflate) (auto-scaling of throughput) and [Geo Disaster-Recovery](https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-geo-dr). With this integration, you can easily load data from on-premises to the cloud, and unlock analytics with native Azure services such as Azure Stream Analytics and Azure Databricks. [Learn more](https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-for-kafka-ecosystem-overview) * Event Hubs * Services * [ Event Hubs](https://azure.microsoft.com/en-gb/products/event-hubs/)