Rails' date and time helpers are great. They save us from duplicating simple add-duration-to-time logic across our applications and make the code more readable. However, complex date manipulations are dangerous places full of edge-cases. This article discusses some of them.

How easy would our lives be, as programmers, if our applications behaved correctly 100% of the time? Unfortunately, that’s not the case: things go wrong, often in serious ways. In order to offer the user the best possible experience—and also understand what went wrong so you can fix it—your application needs to handle its errors, and that’s why error handling is an important part of any application.

C# is a widely used programming language in enterprises, especially for those that are heavily Microsoft-dependent. This language comprises a lot of tools with individual strengths. Here, we list C# tools for IDEs, profilers, automation tools, and more. If you build apps using C#, you most likely use Visual Studio and have explored some of its extensions to supercharge your development. However, this list of C# tools might just change the way you write C# code for good.

In the context of software development, automating repetitive tasks and accelerating application development is the name of the game. Hence, having a versatile language with faster and more efficient results at your disposal is a must. Groovy Scripting will save your day! Groovy scripting is a dynamic language with a range of features and functionalities specifically around automation and rapid application development.

A few weeks ago, I wrote a post summarizing "Seven Data Integration and Quality Scenarios for Qlik | Talend," but ever since, folks have asked if I could explain a little deeper. I'm always happy to oblige my reader (you know who you are), so let's start with the first scenario: Database-to-database synchronization.

An overview of common low-hanging fruits to help you get started with machine learning.

Gone are the days of painful plain-text log management. While plain-text data is still useful in certain situations, when it comes to doing extended analysis to gather insightful infrastructure data – and improve the quality of your code – it pays to invest in reliable log management tools and systems that can empower your business workflow. Logs are not an easy thing to deal with, but regardless is an important aspect of any production system.