: Simplified Guide: Installing Visual Studio Code on Ubuntu Server via Windows RDP

 Are you a developer seeking a seamless workflow on Ubuntu Server but prefer the familiarity of Windows Remote Desktop Protocol (RDP)? Look no further! In this guide, we'll walk you through the steps to install Visual Studio Code on Ubuntu Server using Windows RDP. You'll also learn how to procure an RDP service and set up Ubuntu on it for a hassle-free coding experience.

Why Ubuntu Server and Windows RDP?

Ubuntu Server offers a stable and efficient environment for development, particularly for web servers and cloud-based applications. On the other hand, Windows RDP provides a user-friendly interface and robust remote desktop connectivity. Combining the two allows for a versatile setup where you can leverage Ubuntu's power with the convenience of Windows RDP.

Step 1: Procure Your RDP Service

Before diving into the installation process, you'll need access to a Windows RDP service. You can easily buy RDP from various providers online. Look for a reliable service that offers sufficient resources and bandwidth to meet your development needs.

Step 2: Install Ubuntu on Your RDP

Once you have access to your RDP service, the next step is to install Ubuntu on it. Most RDP services offer pre-built Ubuntu images that you can deploy with just a few clicks. Follow the provider's instructions to create a new Ubuntu instance on your RDP.

Step 3: Connect to Your Ubuntu Server via Windows RDP

After the Ubuntu instance is up and running on your RDP, use your Windows Remote Desktop client to connect to it. Enter the IP address or hostname provided by your RDP service along with your login credentials to establish a remote desktop session.

Step 4: Install Visual Studio Code on Ubuntu

Now that you're logged into your Ubuntu Server via Windows RDP, it's time to install Visual Studio Code. Open a terminal window on your Ubuntu desktop and follow these commands:

  1. Update the package index:
bash
sudo apt update
  1. Install prerequisites for Visual Studio Code:
bash
sudo apt install software-properties-common apt-transport-https wget
  1. Import the Microsoft GPG key:
bash
wget -q https://packages.microsoft.com/keys/microsoft.asc -O- | sudo apt-key add -
  1. Enable the Visual Studio Code repository:
bash
sudo add-apt-repository "deb [arch=amd64] https://packages.microsoft.com/repos/vscode stable main"
  1. Install Visual Studio Code:
bash
sudo apt update
sudo apt install code

Step 5: Launch Visual Studio Code

Once the installation is complete, you can launch Visual Studio Code from the Ubuntu applications menu or by running the following command in the terminal:

bash
code

Step 6: Enjoy Coding on Ubuntu via Windows RDP

Congratulations! You've successfully installed Visual Studio Code on your Ubuntu Server using Windows RDP. Now you can seamlessly write, debug, and deploy your code in a familiar environment, combining the power of Ubuntu with the convenience of Windows RDP.

Conclusion

In this guide, we've demonstrated how to set up Visual Studio Code on Ubuntu Server via Windows RDP, utilizing the strengths of both platforms for an optimal development experience. By following these steps, you can enhance your workflow and productivity without compromising on performance or accessibility. Happy coding!

Comments

Post a Comment

Popular posts from this blog

Mastering the Netstat Command in Windows: See What’s Really Going On in Your Network

Image
  Mastering the Netstat Command in Windows: See What’s Really Going On in Your Network If your PC is connected to the internet, chances are—something’s always talking. But what exactly? Hidden connections, unknown processes, and strange IPs can be lurking silently. That’s where the netstat command in Windows becomes your network detective Netstat Command in Windows: Full Guide + Examples. Whether you’re a system admin, tech enthusiast, or just want to check open ports on Windows , this complete netstat tutorial breaks down everything you need—examples, options, filters, and even how to troubleshoot Windows network issues like a pro. What is Netstat and Why Use It in Windows? Netstat (short for “network statistics”) is a command-line network tool that displays active TCP and UDP connections , listening ports, Ethernet statistics , and protocol usage. It’s built into Windows (since Windows 3.11!), so you don’t need to install anything. Why use netstat? Monitor network activity i...
Read more

Verizon Static IP Pricing Explained: Making Informed Decisions for Your Network Needs

Image
  Evan Allen Blog Dec 21, 2024 0 Introduction: Understanding Verizon Static IP Pricing In these days’s rapid-paced digital global, groups and people alike depend upon the internet for everything from communique to hosting applications. For many, having a static IP cope with is crucial for ensuring that their on-line operations stay constant, secure, and smooth to manage. Static IPs are important for everybody strolling servers, putting in place secure VPNs, or coping with far off computer protocols. Verizon, a pacesetter in telecommunications, gives static IP offerings designed to meet the various wishes of its customers. Understanding  Verizon’s static IP pricing  is prime to creating knowledgeable selections approximately whether or not or not those services are right for you. In this comprehensive blog submit, we’ll dive deep into Verizon’s static IP offerings, provide an explanation for the factors that influence their pricing, and provide guidelines on how you can ma...
Read more

Best GPU for Deep Learning & AI in 2025: What to Look For

Image
  Best GPU for Deep Learning & AI in 2025: What to Look For In 2025, choosing the right GPU for deep learning and AI is crucial for optimal performance. The best GPUs are defined by high memory bandwidth, large VRAM (at least 24GB), and strong support for parallel processing. Look for NVIDIA’s latest architectures, like the H100 or RTX 6000 Ada, which offer enhanced tensor core performance and CUDA support for faster model training and inference. Compatibility with popular frameworks like TensorFlow and PyTorch is also essential. Additionally, power efficiency and cooling systems are vital for long training sessions. Consider whether you’re training massive models or deploying edge AI—this determines if you need a high-end workstation GPU or a more efficient card. Future-proofing is key, so choose a GPU that can handle emerging model sizes and compute demands. Investing wisely in a GPU today ensures your AI workflows remain smooth and scalable through the rapid advancements of ...
Read more