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Install a scaffold named sponge (integrated with Gin + Gorm), which supports Windows, macOS, and Linux environments. Click to view the installation instructions for sponge.

Sponge can be installed on Windows, macOS, and Linux. Check the installation instructions for details.

Using the tool sponge, the business logic code and non-business logic code are automatically separated during the code generation process, so that the development only needs to focus on the business logic code.

With the help of a code generation tool, sponge, download here https://github.com/zhufuyi/sponge

Download Address：https://github.com/zhufuyi/sponge

Sponge is a quick creation of web services and microservice tools, but also a microservice framework, sponge has a wealth of generated code commands, commonly used repetitive code and scripts are automatically generated, coupled with code decoupling modular design, it is easy to build a complete code project from development to deployment, thereby improving development efficiency.

Dependency plugins and tools are automatically installed after executing the command: protoc-gen-go, protoc-gen-go-grpc, protoc-gen-validate, protoc-gen-gotag, protoc-gen-go-gin, protoc-gen-go-rpc-tmpl, protoc-gen-openapiv2, protoc-gen-doc, golangci-lint, swag, go-callvis.

sponge is a microservice framework, a tool for quickly creating microservice code. sponge has a rich generating code commands, a total of 12 different functional code, these functional code can be combined into a complete service (similar to artificially broken sponge cells can be automatically reorganized into a new sponge ). Microservice code features include logging, service registration and discovery, registry, rate limit, circuit breaker, trace, metrics monitoring, pprof performance analysis, statistics, caching, CICD. The code uses a decoupled layered structure and it's easy to add or replace functional code. As an efficiency-enhancing tool, commonly repeated code is basically generated automatically and only business logic code needs to be populated based on the generated template code examples.

image: this key specifies the image this container is based on to be created. It can be a local image or an image from the Docker hub.

Finally, we can upload our application to Docker Hub so that other people can use the image we created. To do this, follow the steps below:

Pull the official Docker distribution of pgAdmin 4 from the Docker Hub repository with the following command:

To use Docker Scout, you'll first have to have a Docker Hub account. Follow the installation instructions for Docker Scout on GitHub. Once Docker Scout is installed, you can sign in to Docker Hub on the command line with the docker login command.

Go to Docker Hub, sign up, and log in to your account's overview page.

Login to Docker [Create an account with https://hub.docker.com/]

Docker Hub

Dockerhub account

There are a lot of docker-compatible registries almost every cloud provider has its registry but for this article, we will use the docker registry called docker hub. Go to the website create a new account and sign in then you can push or pull images.