krok VS todo-api-microservice-example

Booting up a database in a container is relatively fast now-a-days. Take a look here: https://github.com/krok-o/krok/blob/main/tests/livestore/init_test.go

An example for this you can find here: https://github.com/krok-o/krok/tree/main/pkg/krok/providers/handlers

Tests!!! You have none. :) If you want to test with a real DB instead of mocking everything you can do that with an ephemeral container that spins up relatively fast. Here is an example for that: https://github.com/krok-o/krok/blob/main/tests/livestore/init_test.go ( This might be a bit over your head depending on your experience maybe this post is better: https://docs.docker.com/language/golang/run-tests/ )

As others suggested, using the API is nicer. If you are looking for a nice example on how to do that take a look at my docker container executor code here: https://github.com/krok-o/krok/blob/main/pkg/krok/providers/executor/in_memory_executor.go :)

Here is an app where I'm using swagger and I create API documentation by using swagger generator and comments: https://github.com/krok-o/krok

I would like to present a project I've been working on for 1.5 years or so, called Krok Github, Krok Website.

Here is a fairly complex project which does just this: https://github.com/krok-o/krok

Adding to the other comments, this is how Krok uses swagger:

This creates a temporary database in a docker container while you are running your test. For an example look here: https://github.com/krok-o/krok/blob/main/tests/livestore/init_test.go

Hello guys im a self teach coder. im working with golang atm because this great project speed up my learning curve: https://github.com/MarioCarrion/todo-api-microservice-example

With that being said, if you're looking for something friendlier, I share my own educational repo, still a WIP but it should help you with the basics.

internal/tools and

You are going to need to add a domain package where the Beer type and all the logic associated to that type is defined to avoid the cyclical dependency. I typically follow this approach by using internal as the domain package that then other packages like services, data stores or transport use.

Here's my approach; a few worth-mentioning packages in there: * service defines the use cases, it's a glue between the domain model and repositories. * rest defines the http handlers uses the service types via dependency injection (see main.go) * postgresql concrete repository example (there are other implementations for other data stores like kafka, redis, etcetera.

Other redditors mentioned some good resources, I'm going to shamelessly plug mine as well; either way after you are done with whatever tutorial you use I recommend you to look at the Exposure Notifications Server, reading the source code should help you learn other best practices.

One word of advise I can give you is that building a production-grade microservice in Go takes a bit; not because of the language but because you have consider the tradeoffs when choosing different packages to connect everything to make it work (because there's no Django, Ruby on Rails or Spring), I have an educational repository (still work in progress) trying to describe what I've learned from the last 5 years after successfully deploying multiple services to production where multiple engineers contribute and collaborate together; perhaps that could help you.

With all of that being said I have an educational repository demonstrating this structure, I've been using it in real life for about 5 years already and I've successfully delivered services to production multiple times where multiple engineers contribute and collaborate together.

You may want to checkout the "Exposure Notifications Server" project; I also have a similar (educational) project that uses the Repository Pattern.