- Virtual Wan Resources
To configure an end-to-end Virtual WAN, you create the following resources: 1. virtualWAN: The virtualWAN resource represents a virtual overlay of your Azure network and is a collection of multiple resources. It contains links to all your virtual hubs that you would like to have within the virtual WAN. Virtual WAN resources are isolated from each other and cannot contain a common hub. Virtual Hubs across Virtual WAN do not communicate with each other. The ‘Allow branch to branch traffic’ prop...
Virtual WAN allows three types of connectivity: site-to-site, point-to-site (Preview), and ExpressRoute (Preview).
Virtual WAN provides large-scale site-to-site connectivity and is built for throughput, scalability, and ease of use. ExpressRoute and point-to-site connectivity functionality is currently under Preview. CPE branch devices autoprovision and connect into Azure Virtual WAN. These devices are available from a growing ecosystem of SD-WAN and VPN partners. See the Preferred Partner List.
The Azure Stack Hub Development Kit provides a single server instance to run validation of applications to be deployed on Azure Stack Hub, plan for Azure Stack Hub integrated system deployments, and support training and learning. Learn more.
- Why Use Event Hubs?
- Fully Managed Paas
- Support For Real-Time and Batch Processing
- Rich Ecosystem
- Key Architecture Components
- Next Steps
Data is valuable only when there is an easy way to process and get timely insights from data sources. Event Hubs provides a distributed stream processing platform with low latency and seamless integration, with data and analytics services inside and outside Azure to build your complete big data pipeline.Event Hubs represents the \\"front door\\" for an event pipeline, often called an event ingestor in solution architectures. An event ingestor is a component or service that sits between event publ...
Event Hubs is a fully managed Platform-as-a-Service (PaaS) with little configuration or management overhead, so you focus on your business solutions. Event Hubs for Apache Kafka ecosystems gives you the PaaS Kafka experience without having to manage, configure, or run your clusters.
Ingest, buffer, store, and process your stream in real time to get actionable insights. Event Hubs uses a partitioned consumer model, enabling multiple applications to process the stream concurrently and letting you control the speed of processing.Capture your data in near-real time in an Azure Blob storage or Azure Data Lake Storage for long-term retention or micro-batch processing. You can achieve this behavior on the same stream you use for deriving real-time analytics. Setting up capture...
With Event Hubs, you can start with data streams in megabytes, and grow to gigabytes or terabytes. The Auto-inflate feature is one of the many options available to scale the number of throughput units to meet your usage needs.
Event Hubs for Apache Kafka ecosystems enables Apache Kafka (1.0 and later) clients and applications to talk to Event Hubs. You do not need to set up, configure, and manage your own Kafka clusters.With a broad ecosystem available in various languages (.NET, Java, Python, Go, Node.js), you can easily start processing your streams from Event Hubs. All supported client languages provide low-level integration. The ecosystem also provides you with seamless integration with Azure services like Azur...
Event Hubs contains the following key components: 1. Event producers: Any entity that sends data to an event hub. Event publishers can publish events using HTTPS or AMQP 1.0 or Apache Kafka (1.0 and above) 2. Partitions: Each consumer only reads a specific subset, or partition, of the message stream. 3. Consumer groups: A view (state, position, or offset) of an entire event hub. Consumer groups enable consuming applications to each have a separate view of the event stream. They read the strea...
To get started using Event Hubs, see the Send and receive events tutorials: 1. .NET Core 2. .NET Framework 3. Java 4. Python 5. Node.js 6. Go 7. C (send only) 8. Apache Storm (receive only)To learn more about Event Hubs, see the following articles: 1. Event Hubs features overview 2. Frequently asked questions.
Microsoft Azure for Linux and Mac Users This article is an introduction to Microsoft Azure, Microsoft's application for the public cloud. The article is aimed at the research and academic users who are familiar with Linux or the Mac OS. The paper shows how you can take advantage of some of the capabilities Microsoft Azure offers, such as using
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