Azure DevOps CI/CD Pipeline For Azure Functions
In this post, I’ll show you how to set up a CI/CD(continuous integration and continuous delivery/deployment) pipeline in Azure DevOps for Azure Functions running on Azure cloud.
In this post, I’ll show you how to set up a CI/CD(continuous integration and continuous delivery/deployment) pipeline in Azure DevOps for Azure Functions running on Azure cloud.
In this post, I’ll show you how to prevent your Azure Functions from going to sleep thus preventing a cold start and improving the response time of the first call. This can be especially important if you have multiple function chained because you now have multiple cold starts in a row.
In this post, we’ll look at Polly which is a .NET library used for resilience and transient-fault-handling. It provides you with already implemented software design patterns/mechanisms/concepts such as Retry, Circuit Breaker, Hedging, Timeout, Rate Limiter, Fallback, …You can use this to make your software more reliable.
In this post, I’ll show you how to get started with C# Azure Functions. To quote Microsoft: “Azure Functions is a serverless solution that allows you to write less code, maintain less infrastructure, and save on costs. Instead of worrying about deploying and maintaining servers, the cloud infrastructure provides all the up-to-date resources needed to keep your applications running. You focus on the code that matters most to you, in the most productive language for you, and Azure Functions handles the rest.”
In this post, we’ll look at some basic algorithms and data structures in C#.
In this post, I’ll show you how to make API requests from the ESP32 or ESP8266, how to set up a web server on the ESP and use AJAX to send/receive data and how to establish a web socket connection for bi-directional data streaming. These examples can be used as basic starting templates for projects.
In this code snippet, we’ll take a look at covariance and contravariance in C#.Covariance and contravariance enable implicit type conversion for arrays, delegates and generic interface type arguments.
In this code snippet, we’ll see how to do image classification in C# using the ML.NET machine learning framework. It provides a user friendly GUI for creating, training and deploying different kinds of machine learning models within Visual Studio. It makes it very quick and easy to add machine learning to your .NET projects.
In this code snippet, we’ll see how to use GPU acceleration in C# using the ILGPU library. ILGPU provides you with a fairly simple interface to run code on your GPU from C#. For more information, you can check out the official documentation here. In this post, I will show you how to do some image processing by utilizing GPU acceleration if you want to see more examples(simpler or more complex ones) you can find them here.
In this code snippet, we will take a look at COM objects, interop using PInvoke and type marshalling in C#.