Integration of Cake build script with TeamCity

Cake is a great tool for organizing a delivery pipeline for your application. I like it because it lets me to write the pipeline using C#, the language I know well. The great property of Cake, PSake and other similar frameworks is that they allow as to use the same building script on a local development machine and on CI servers. Here I'll explain how to integrate Cake with TeamCity.

Example of Microsoft Flow usage or Flowers for my wife

Here I'll show you not so simple example of usage of Microsoft Flow for one practical task.

Gathering context information for logging

When you write messages to your logs, sometimes it may be useful to add context information. For example, if you write information about some error, you could also include input data in some form, to be able to reproduce the problem easily. Here I'll show how to gather this additional information.

Adding documentation into ASP.NET Web API

When you provide Web API, there is a question, how to inform a user about all its abilities, about the syntax of requests, etc. Usually, you should create some available Web page, where you discuss these topics. But wouldn't it be great, if the Web API itself provided access to the documentation?

Handling JSON errors in OWIN Web application

Somу time ago I wrote an article, where I discuss how to find typos and usage of obsolete properties in JSON body of a request. The described technique required providing a handler of Error event of the JsonSerializerSettings object. The problem is that this object is shared across all requests to your application, but we need separate handling for each request. In this short article, I'll describe how to do it.

Finding typos and usage of obsolete properties in JSON

JSON format is very widespread now. Many Web APIs return their results in this format. Also, many APIs accept incoming requests in the same format. Structure of incoming JSON request can be very complex. It is not uncommon to make a typo in such a document. In this article I'd like to discuss, how can we detect these typos and inform users about them in a friendly form.

Simple parallelizable algorithm for approximate pattern matching

In this article, I'd like to show a simple algorithm for approximate pattern matching. This term generally means that you want to find all places in a big string (text) where a short string (pattern) resides in it. In this form, it defines exact pattern matching. But in our case, we will allow some "errors" (places where the symbol in the text is not equal to the symbol in the pattern). We just want to limit the number of such errors. This is why it is called approximate pattern matching.