Spring Cloud Stream Binder for Azure Event Hubs is now generally available. It is simple to build highly scalable event-driven Java apps using Spring Cloud Stream with Event Hubs, a fully managed, real-time data ingestion service on Azure that is resilient and reliable service for any situation.
Take advantage of reliable collections to process event from Event Hubs using Service Fabric Processor. This new library lets to manage partitions and also provide with sophisticated load balancing.
Earlier this year in July, we announced the public preview for Virtual Network Service Endpoints and Firewall rules for both Azure Event Hubs and Azure Service Bus. Today, we’re excited to announce that we are making these capabilities generally available to our customers.
We recently published a blog on a fraud detection solution delivered to a banking customer. The solution required complete processing of a streaming pipeline for telemetry data in real-time using a serverless architecture. This blog describes the evaluation process and the decision to use Microsoft Azure Functions.
The Industry Experiences team has recently published a solution guide for extracting insights from existing IoT data. The solution consists of the following components.
The Event Hubs team is happy to announce the general availability of our integration with Apache Spark. Now, Event Hubs users can use Spark to easily build end-to-end streaming applications.
With Azure Monitor’s diagnostic settings you can set up your resource-level diagnostic logs and metrics to be streamed to any of three destinations including a storage account, an Event Hubs…
The two long standing, well known and appreciated Azure Core Services (Azure Service Bus and Azure Event Hubs) just released a preview of an upcoming generally available Geo-disaster recovery feature. With the help of this feature, no client needs to manage Geo-disaster recovery scenarios anymore via code, but can instead rely on the services doing the metadata synchronization between two independent namespaces. At this time, data replication is not yet supported and will be added at a later (post General Availability) point in time.
Customers often ask us about the scalability and throughput limits of the consumption plan for Azure Functions. The short answer is always “it depends, what does your workload look like?”.
Principal Software Engineer Manager, Azure Functions
We're happy to announce that Azure Stream Analytics now supports IoT Hub Operations Monitoring giving you an easy way to analyze the operations of your IoT devices.