Azure Functions is a serverless compute service that enables you to run code on-demand without having to explicitly provision or manage infrastructure. Using Azure Functions, you can run a script or piece of code in response to a variety of events.
Azure Functions provides a powerful programming model for accelerated development and serverless hosting of event-driven applications. Ever since we announced the general availability of the Azure Functions 2.0 runtime, support for Python has been one of our top requests. At Microsoft Connect() last week, we announced the public preview of Python support in Azure Functions.
Serverless technologies empower developers to focus on the differentiating business logic in their apps as opposed to infrastructure management.
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.
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 device bridge connects other IoT clouds with IoT Central by forwarding the data your devices send to the other clouds through to your IoT Central app.
We’re excited to report that teams can now use the global cloud database MongoDB Atlas for free on Microsoft Azure. The newly available free tier on Azure Cloud is known as the M0, grants users 512 MB of storage and is ideal for learning MongoDB, prototyping, and early development.
In this design pattern, you will learn how you can insert IoT data with high throughput and then have aggregations on different fields.
In this article, you will learn how to use partition keys to efficiently distribute data, improve application performance, and enable faster look-up. The pre-requisites of this article are general knowledge of Azure Cosmos DB and a good understanding of change feed, request unit (RU) and 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.