goose VS mux

In v3.16.0 we added a new Provider feature that unlocks the ability to implement a lot of highly requested features. More details in the blog post:

Next try https://github.com/pressly/goose We have this setup to be run by the CI-CD pipeline to be run before the application is started. BTW, this utility is compatible with https://sqlc.dev , so they work good together.

For database migration I recommend https://github.com/pressly/goose As it works with sqlc and is a powerful tool for complex migrations. This is something a lot of ORMs are really weak with. I was on a large project with Gorm as the ORM and what a nightmare when we pushed to production!

goose https://github.com/pressly/goose - data migration and seed data creation

I'm using .sql migration files with tooling similar to https://github.com/pressly/goose . Is there a way to manage my schema with my pre-existing tooling and my queries/CRUD operations with Ent/Atlas?

This is not a disproval, but gorilla/mux has comparatively poor benchmark results among popular (many stars) third-party HTTP routers. , used by many users.

This attention to detail also can mean that for key abstractions in a tool or framework, what concretely goes on doesn't go unexplained. For example, when I was learning Go for web development, my first stumbling block was understanding how interfaces worked, particularly http.Handler, which is key to doing web development with Go's powerful net/http package and the fits-like-a-glove package built on top of it, the Gorilla Mux router. My way of finding out how that worked, and seeing the elegance of that interface, was pretty unorthodox - I figured out how Handlers worked by looking directly at Go's source code (which also is a demonstration of Go's readability, if you're interested in joining the Gophers!). And coming out of that was my very first tech talk at in 2015, on learning Gorilla from its Node.js counterpart, Express.js!

In this ApiGateway implementation, we've employed the Gorilla Mux router for enhanced route handling. Let's break down the key components:

Now that we have set up the Go environment, we can start building our API. The first step is to choose a framework. There are several popular frameworks for building APIs in Go, such as Gorilla mux, Echo, and Gin. For this article, we'll use Gorilla mux.

Mir is a toolkit to develop RESTful API backend service like develop service of gRPC. It adapt some HTTP framework sush as Gin, Chi, Hertz, Echo, Iris, Fiber, Macaron, Mux, httprouter。

My personal favorite tools: - https://github.com/go-kit/ for building services (although it's not necessary a great tool for prototyping) - https://github.com/gorilla/mux router (although it's been recently deprecated, so I'm looking for a similar, maintained library) - https://entgo.io/ ORM - https://watermill.io/ for messaging

We will be using Gorilla Mux to create the APIs locally. Gorilla Mux implements a request router and dispatcher to match the incoming requests.