ulid VS Gin

Our Go ULID package has millisecond precision + monotonic random bytes for disambiguation while preserving ordering within the same millisecond. https://github.com/oklog/ulid

There is no "tests".

There is just a single test. Which only tests the decoding of a single known value. No encoding test.

Go has infrastructure for benchmarking and fuzzing. Use it!

Also, you took code from https://github.com/oklog/ulid/blob/main/ulid.go which has "Copyright 2016 The Oklog Authors" but this is not mentionned in your base32.go.

maybe because of dependencies: https://github.com/oklog/ulid/blob/main/go.mod ??

Universally Unique Lexicographically Sortable Identifier

I'm not concerned too much about the performance or the storage size at this stage. I've checked ulids before posting (more specifically https://github.com/oklog/ulid) but the only difference than a random string (especially if you use them with math.rand) is the timestamp prefix which makes them sortable, but I don't need that (users could use the internal SQLite rowid if they needed to sort by a primary key).

why are you using https://github.com/oklog/ulid to generate a cookie secret?

oklog/ulid to generate IDs. coreos/go-oidc for validating JWTs I get from auth. google/go-cmp for comparing structs in tests (unless the project is already using Testify). spf13/pflag because life's too short for Go's flag handling. getkin/kin-openapi for validating reqests/responses against my OpenAPI spec (in tests).

If you just want to roll with an off-the-shelf library, you can use ULID. There are tons of custom made *flake alternatives. If ULID doesn't fit your purposes, look for others.

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.