Log data using Serilog, Elasticsearch and Kibana

Often developers as a log store use text files, system events, output console or database. In some cases they use distributed systems such Splunk or Elasticsearch. In this article I would like to present how to store logs in the form of objects, rather than plain text, which also offers all sorts of graphs and charts called dashboards. To achieve it, I’ll use Serilog, Elasticsearch and Kibana.

To test this solution, you’ll need Visual Studio (obvious), an Elasticsearch instance and the Kibana extension on your PC. You may as well use Amazon Web Services which offer these services even for free. I prefer the second option because it is much easier and quicker to set up.

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Dapper – micro-ORM I like

Every programmer when working with databases will use a framework, which facilitates and speeds up development time. It is no different with me. I never liked ADO.NET. Taking out the data and storing it in a DataSet or DataTable that were not strongly typed is not a best idea. Especially when someone else on the later stage had to work with this code and no one actually knows what the author had in the mind writing it. For many years, I enjoyed the heavier Object-Relational Mapping frameworks, i.e. Entity Framework (version 4.0), LinqToSQL (the beginnings of my work as a programmer) or NHibernate.

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What TDD is? How I’m using it?

Every experienced developer knows how important is to cover your code with tests (or at least business logic). However, not everyone likes to do that once code is already written, because, why should we do that? The work is done, it was tested and it functions correctly, right?

I never liked to cover the code with tests once it’s already there. That’s why in this article I’ll present Test Driven Development and describe how I use it day to day.

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