Azure SDK Blog

Develop Azure solutions with the Azure SDKs aka.ms/azsdk

Forecasting Service scale out with Jupyter Notebooks in Visual Studio Code
Forecasting Service scale out with Jupyter Notebooks in Visual Studio Code
Visual Studio Code has an extension for running Jupyter Notebooks, which is a great tool for those of us interested in data analytics as it simplifies our workflows. In this article, I will show how to consume Azure data in a Jupyter Notebook using the Azure SDK. The problem I will be demonstrating builds a predictive model to anticipate ...
Process data in real-time with Java and Azure Event Hubs
Process data in real-time with Java and Azure Event Hubs
In my position with the Azure SDK team, I'm fortunate to talk to a lot of customers about their needs. Most applications can be categorized into big buckets where we can see the same design patterns repeated. One of those categories is data processing.
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Best practices for using Azure SDK with ASP.NET Core
Best practices for using Azure SDK with ASP.NET Core
If you are developing an ASP.NET Core application, you know that there is a common way of structuring your application. The tooling within Visual Studio makes this very easy to accomplish. Similarly, when integrating the AZURE SDK, there are good and bad ways to structure your code. This article covers the best practices.
Enabling distributed tracing with the Azure SDK for Python
Enabling distributed tracing with the Azure SDK for Python
Todays topic is diagnostics with Python applications. I have a fairly complex application, and something is going wrong. Azure provides a capability within Azure Monitor called transaction monitoring that tracks a transaction (such as an API call) from your application all the way through to the service that fulfills the request. This is power
Building the Azure SDK – Repository Structure
Building the Azure SDK – Repository Structure
The Azure SDK team generates many client libraries across multiple languages, so it should come as no surprise that we constantly think about the most efficient mechanism for storing, writing, and distributing those libraries. In an ongoing series, we're going to talk about some of the decisions we made and the implications of those decisions...
Pluggable HTTP Modules with the Azure SDK for Java
Pluggable HTTP Modules with the Azure SDK for Java
When we re-imagined the Azure SDK, we came up with some key principles that we would use when writing the SDK: There are more details behind these simple principles, but these are our guides when designing the client libraries. When we designed the initial HTTP pipeline for the Azure SDK for Java, we made specific choices that are ...
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