Software development gets complex if you want your applications to target multiple operating systems, including but not limited to Windows, Linux, macOS, Android, iOS, HoloLens, desktop apps, and web apps. Enter the robust and feature-rich.NET platform to write applications rapidly for use across multiple systems. It also contains many libraries that allow developers to reuse common functionalities. It isn’t itself a language, though many describe it that way.

Python is a programming language originally developed in the late 1980s. Since then, it has seen continuous growth and remains one of the most popular programming languages, especially in data science. Many programmers learn Python as their first language, and it has a wide range of uses. Its second iteration, Python 2.0, landed in 2000, after extensive development throughout the 90s.

Java, the programming language powering over 3 billion devices, celebrated its 25th anniversary in 2020. Despite its age, this language is far from dead. As Brian Goetz, Java Language Architect at Oracle, has said, “If I had $1 for every time Java was declared dead, I could probably retire!”

The concept of someone else being responsible for your code is a huge relief. As a developer, having someone else handle the burden of managing the entire infrastructure that runs my code gives me more time to deal with the actual development. Serverless technology benefits more than just the sole developer. It reduces cost by automatically adjusting resource allocation, abstracts both network and server management, saves complexity, and improves the overall application performance.

Cloud deployments have gotten more complicated over the years. That’s on them, but it’s not necessarily to a fault – there’s just so much more you can do now than in the past. That blossoming in capabilities really owes itself to each new service getting easier over time. AWS, Google, and Azure started offering to relieve the burden of on-premises computing infrastructure.

Java is one of the most widely used programming languages because of its principle of “compile once, run anywhere.” Its many syntax constraints, though, mean that writing code in a basic text editor can become tedious. You can use an integrated development environment (IDE) like IntelliJ IDEA to improve your output, with features like compile-time error suggestions and intelligent code completion. One of the most helpful functions of IntelliJ is its debugging capacity.

A new year is always a good time to check your expenses. One expense that keeps on climbing constantly in many organizations is related to the cloud expenses, expected to expand up to $1 trillion by 2024, according to IDC. While this can be a good thing, indicating the business is scaling and cloud resources are in high demand, there is often a lot of waste coming from inefficient cloud usage, unnecessary SaaS tooling, endless logs, and more.

Debugging is hard, and in some places—like in the cloud, production, or Java Spring—it’s even harder. Moreover, debugging isn’t just about finding or fixing bugs in code. It also allows developers to better understand existing codebases by allowing them to see the flow of the entire application when starting work on a project they’ve just joined, or to refresh their memory before beginning to code new features.

When looking for modern languages for software development, you might have noticed that Java isn’t exactly the freshest solution out there. But it’s used in virtually all of IT, from client to server, web to mobile, and even machine learning and analytics. Plus, it comes with a good amount of experience spread throughout its communities. For over a decade now, the ecosystem around a JVM has no longer been just about the Java programming language.

Rookout’s Live Debugger is a product that’s created for developers, by developers. As such, our R&D team knows firsthand the actual challenges that developers face daily when debugging in production. It is a constant struggle to gain an understanding of what’s happening in their complex environments without accidentally breaking something, waiting for another deployment, or having to write additional lines of code.