Gin VS logrus

Now let’s define the functions that will be called whenever a request hits our API. All the functions will be referencing the context provided by the Gin web framework. Paste the following code below the sample slice we just added to api.go:

We will be using Gorilla Mux. As per their last update, they have a new group of maintainers, and their repos have shown activity to confirm that. The tutorial can be easily replicated in any other framework or library as well. So, while we will be using Gorilla Mux, you can try to replicate it in Gin or Fiber as well.

Now, let's dive into the fun part – creating our basic ToDo application using the powerful Gin framework. This section will walk you through the steps, breaking down the code into manageable snippets.

Thanks to the AWS Lambda Web Adapter, the application built as a (good old) REST/HTTP API using a familiar library (in this case, Gin.

Excellent Performance: Sponge is built on the gin framework, providing outstanding performance for web service development.

In this blog, we will delve into the fascinating realm of handling images in a Golang application, leveraging the power of the Gin framework for RESTful API development, MongoDB as a robust NoSQL database, and the mongo-driver library for seamless interaction with MongoDB. To store images efficiently, we'll explore the intricacies of GridFS, a specification within MongoDB for storing large files as separate chunks.

It uses Gin as the HTTP framework and PostgreSQL as the database with pgx as the driver and Squirrel as the query builder. It also utilizes Redis as the caching layer with go-redis as the client.

I have created an application with Go in Gin-Gonic. In my frontend (Nuxt3/TypeScript) I always get a CORS error:

We use Gin web framework https://gin-gonic.com for the routing, Gin provides a balance between performance, ease of use and extensibility making it a preferred choice for building and running web applications in Go.

It's some sort of logging system well explained by Alex Edwards in Let’s Go Further. As stated, we could have used logrus or any other popular logging system in Go.

Option 2, please. You may not have been around for the logrus debacle, but it was a giant pain.

For the example I’m using the very popular logrus library and then I’m setting the log formatter to be JSON

For choosing the candidates for the poll, I didn't do any thorough research. I was looking for a library to use in my project at work, and I ended up at sirupsen/logrus which was already being used by one of the dependencies in that project.

I contribute to OSS as part of my job on the regular. The company is good about contributing upstream, signing CLAs, and all that. We still work against private forks for two main reasons: 1. Some changes that we need are not accepted by maintainers based on philosophical or architectural reasons that we can’t otherwise work around. You’re beholden to then unless you publicly fork the repo which has other legal/PR overhead for the company and OSS political implications. 2. Maintainers in the past have taken down repos, renamed repos, or changed the licensing on repos that have left us in a lurch. We always build against our own private forks because we need predictability and can’t be beholden to some other party for business continuity. We sync them down from the public upstream at our leisure.

If they change the case on their username on the other hand, the Go ecosystem explodes: https://github.com/sirupsen/logrus/issues/570#issuecomment-3...

Like, for example, some projects importing logrus with a capital L and some with a lowercase L, and go modules having no way to reconcile the two: https://github.com/sirupsen/logrus/issues/553

Ugh. Wish people would stop using logrus. It’s in maintenance mode and slow, especially its stack tracing.