With the interoperable nature of WSL, you can run your favorite IDE or editor in Windows while keeping the compatibility of running your project inside a real Linux environment. Because WSL 2 uses the Linux kernel, exciting new opportunities are opened such as the ability to run a Kubernetes distribution for developing microservices architecture systems. There is also the enticing ability to use your workstation or laptop’s Graphics Processor (GPU) to accelerate machine learning tasks.
Creating a Microk8s Workstation
The computing world is abuzz with the idea of ...
