The world of Web3 infrastructure has always been chaotic, with each project using its own set of tools, leading to compatibility issues. Wouldn't it be great if these services could be packaged into standardized containers and run seamlessly anywhere?

Docker is designed for this purpose. What is the biggest advantage of deploying projects like APRO using containerization? Environment consistency. The code you test locally, once packaged into a container, will produce the same results whether it's running on test servers, production servers, or even someone else's machine. No more disputes over "it works on my computer."

So, how does it work? First, write a Dockerfile that defines the base environment, dependencies, and startup commands. Then, build the image with `docker build`, and start the container with `docker run`. For decentralized projects like APRO that require long-term stable operation, this approach is especially practical.

Containerization also has a hidden benefit: resource isolation. If one container encounters an issue, it won't affect others, significantly improving overall system stability. In the Web3 ecosystem, infrastructure like nodes and validators often run 24/7, and stability is vital. Using Docker for deployment can save you a lot of operational headaches.