Systems | Development | Analytics | API | Testing

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.

Application Programming Interface, or API, development is a critical aspect of modern software engineering, enabling diverse software systems to interact and share data seamlessly. The API serves as a contract between different software applications, outlining how they can communicate with one another. Two of the most popular architectural styles for building Web APIs are Representational State Transfer (REST) and GraphQL.

Process efficiency might not be flashy, but its impact is substantial. Improving process efficiency—from developing new applications faster to automating manual tasks—can amount to millions in savings. According to a Total Economic Impact™ (TEI) study, conducted by Forrester Consulting and commissioned by Appian, a composite organization comprised of interviewees with experience using Appian realized: How exactly are customers realizing these benefits?

In this blog post, we unveil a range of new features and enhancements for Release Management. From easier TestFlight distribution and automation triggers to seamless App Store version number management, these updates will take your app deployment experience to new heights.

The beauty of Node is that while the main event loop runs in a single thread, some expensive tasks are automatically offloaded to a separate worker pool. These include the I/O-intensive DNS and File System (except fs.FSWatcher()) APIs, as well as the CPU-intensive Crypto and Zlib APIs. All these have a synchronous variation which will block the main thread. This is generally how Node accomplishes concurrency while running on a single thread.

Logging plays a critical role in every application. In this tutorial, we’ll explore how to use Apache Log4j 2.x and highlight best practices that can help you in getting started and improve logging capabilities. Additionally, we’ll discuss various key features and improvements of Log4j 2.x over its predecessor, Log4j 1.x.