mux VS swag

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.

Hey Gophers, I'm exploring Swagger generation for a REST API in Go (using go-chi). Currently, I'm testing https://github.com/swaggo/swag/, but I'm uncertain if it's the optimal solution. What are your thoughts or recommendations?

Swaggo is a tool that creates Swagger documentation for Go APIs. It makes documenting API endpoints easier, helping developers understand and use the API.

Some of the features: - ✅ Using Vertical Slice Architecture as a high level architecture - ✅ Using Event Driven Architecture on top of RabbitMQ Message Broker with a custom [Event Bus](pkg/messaging/bus/) - ✅ Using Event Sourcing in Audit Based services like [Orders Service](services/orders/) - ✅ Using CQRS Pattern and Mediator Patternon top of Go-MediatR library - ✅ Using Dependency Injection and Inversion of Controlon top of uber-go/fx library - ✅ Using RESTFul api with Echo framework and using swagger with swaggo/swag library - ✅ Using Postgres and EventStoreDB to write databases with fully supports transactions(ACID) - ✅ Using MongoDB and Elastic Search for read databases (NOSQL) - ✅ Using OpenTelemetry for collection Distributed Tracing with using Jaeger and Zipkin - ✅ Using OpenTelemetry for collection Metrics with using Prometheus and Grafana - ✅ Using Unit Test for testing small units with mocking dependent classes and using Mockery for mocking dependencies - ✅ Using End2End Test and Integration Test for testing features with all of their real dependeinces using docker containers (cleanup tests) and testcontainers-go library

[1]https://github.com/swaggo/swag/issues/386

I used this the other day and found it very easy to set up: https://github.com/swaggo/swag

I use the fizz for developing my webservices + docs, it's smooth! There is swaggo but I don`t like it because the source code get dirty (lots of comments)

You can use swaggo/swag with code annotations

checkout swaggo/swag.