Azure Service Bus now integrates with Azure Event Grid!
Azure Service Bus now sends events to Azure Event Grid.
Azure Service Bus now sends events to Azure Event Grid.
Last week in Azure, we introduced Service Endpoint Monitor in preview for Network Performance Monitor, continued the Azure Cosmos DB training series with Part 2 on how to create a more intelligent and responsive globally distributed serverless application, and Azure Files introduced a native backup
Conversational systems are rapidly becoming a key component of solutions such as virtual assistants, customer care, and the Internet of Things.
Last week in Azure included several serverless topics that included Azure Functions and IoT, while some of the key Azure shows served up container-based content for your consideration.
Azure Cosmos DB Graph API is the first cloud database to provide graph functionality over a globally distributed managed service.
Check out what happened last week in Azure: Event Grid became generally available, Ansible pre-installed in Cloud Shell, and more.
Azure Cosmos DB provides a scalable database solution that can handle both ingestion and query, and enables developers to implement lambda architectures with low TCO. Lambda architectures enable efficient data processing of massive data sets.
Today, we are excited to announce the general availability of several features in Azure Stream Analytics. These features are designed to help address a variety of scenarios for both enterprise and non-enterprise customers alike.
Modern applications are taking maximum advantage of the agility and flexibility of the cloud by moving away from monolithic architectures and instead using a set of distinct services, all working…
The first full work week of 2018 was a light week for new Azure functionality. Check out Azure Security Center and Microsoft Web Application Firewall integration, a new IoT sample solution to monitor & scale IoT Hub, new Marketplace offers, and more.
Last week in Azure started 2018 with addressing a far-reaching security vulnerability at the CPU level, new developer tools for big data, tech content, and more.
How do you go about answering those perplexing questions such as what secure hardware to use? How do I gauge the level of security? How much security do I really need and hence how much premium should I place on secure hardware?