2018年11月28日
Serverless and PaaS are all about unleashing developer productivity by reducing the management burden and allowing you to focus on what matters most, your application logic.
2018年11月26日
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.
2018年11月19日
Most modern applications are built using events whether it is reacting to changes coming from IoT devices, responding to a new listing in a marketplace solution, or initiating business processes from customer requests.
2018年11月7日
In today’s business environment, with the rapidly increasing volume of data and the growing pressure to respond to events in real-time, organizations need data-driven strategies to gain valuable insights faster and increase their competitive advantage.
2018年10月31日
As we continue to see our community grow around Event Grid, many of you have started to explore the boundaries of complexity and scale that can be achieved. We’ve been blown away with some of the system architectures we have seen built on top of the platform.
2018年10月18日
Today’s consumers are using more devices and channels to interact with retailers than ever before. Seamless service across all channels is the expectation, not the exception.
2018年10月15日
Azure Stream Analytics is a fully managed service for real-time data processing. Stream Analytics jobs read data from input sources like Azure Event Hubs or IoT Hub. They can perform a variety of tasks from simple ETL and archiving to complex event pattern detection and machine learning scoring.
2018年10月11日
Azure Stream Analytics is Microsoft’s serverless real-time analytics offering for complex event processing. It enables customers to unlock valuable insights and gain a competitive advantage by harnessing the power of big data.
2018年10月8日
A single Azure function is all it took to fully implement an end-to-end, real-time, mission critical data pipeline. And it was done with a serverless architecture. Serverless architectures simplify the building, deployment, and management of cloud scale applications.
2018年8月6日
Our scenarioThe project I’m working on requires me to retrieve information from multiple sources like the NuGet and GitHub API. Let’s bring into focus how I’m downloading data from the GitHub API.