Based on our record, Docker for AWS seems to be a lot more popular than Microsoft Visual Studio. While we know about 70 links to Docker for AWS, we've tracked only 1 mention of Microsoft Visual Studio. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
While the editor seems to old fashioned there isn't anything particularly wrong in using it for learning. Alternatively you can propose to your teacher about https://visualstudio.microsoft.com/vs/express/ . IMO editor is not a big factor when we are talking about high school learning. Source: almost 4 years ago
For more information on Docker, you can refer to the official Docker documentation and explore relevant open-source projects on Docker's GitHub. Additionally, for Terraform-related resources, check out the official Terraform documentation and Terraform GitHub. - Source: dev.to / 3 days ago
Docker Official Documentation Docker Hub - AI & Machine Learning Containers Deploying AI with Docker & Kubernetes Docker Community Forums GitHub - AI Agents & Docker Projects. - Source: dev.to / about 1 month ago
Docker Documentation: For container best practices, security tips, and new features. - Source: dev.to / about 2 months ago
For more detailed information, visit the official **Docker documentation.**. - Source: dev.to / 2 months ago
Docker Documentation: https://docs.docker.com/. - Source: dev.to / 2 months ago
IntelliJ IDEA - Capable and Ergonomic IDE for JVM
Docker Hub - Docker Hub is a cloud-based registry service
Xcode - Xcode is Apple’s powerful integrated development environment for creating great apps for Mac, iPhone, and iPad. Xcode 4 includes the Xcode IDE, instruments, iOS Simulator, and the latest Mac OS X and iOS SDKs.
Docker Compose - Define and run multi-container applications with Docker
VS Code - Build and debug modern web and cloud applications, by Microsoft
Amazon EKS - Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.