Ory Kratos VS ent

I was expecting hydra / kratos to show up as an alternative.. but did not see any. Does any have any experience, good or bad about it?

https://github.com/ory/kratos

I think it would be fair to say that kratos was not the priority in 2022 in terms of code you can see not much was commited (https://github.com/ory/kratos/graphs/code-frequency) so I might have had a bad first impression.

A few issues on kratos that I consider relatively important are still missing / nobody from Ory is giving their input so it's hard to make progress and I would not take my time to contribute if I dont know if the owner are going to merge it.

An example that comes to mind is the OAuth email auto-verification or the search of users that is still super basic (we only recently got the filter of identifiers).

IMO it's almost always good to offer some OIDC social login, just depends what provider your users use.

- https://github.com/ory/kratos

Check out the milestone on github: https://github.com/ory/kratos/milestone/15

not sure if that is everything.

An open source solution pre-built from professionals like Ory Kratos or Keycloak saves you a lot of time and pain.

https://github.com/ory/kratos

In this article, we'll delve into the world of concurrency control in Go, specifically focusing on the optimistic locking approach. We'll explore its implementation using Ent ORM to illustrate how to manage data consistency when multiple users interact with the same resource. Keep in mind that this example serves as a simplified illustration, and real-world booking systems involve a many of additional complexities. However, the core concepts presented here provide a solid foundation for understanding optimistic locking in Go applications. Feel free to explore the complete source code in my GitHub repository for a more in-depth look at the implementation.

ent is a fairly recent ORM that uses a code-first approach where you define your schema in Go code. Ent is popular thanks to its ability to handle complex data models and relationships elegantly. It's statically typed, which can help catch errors at compile time. However, the learning curve might be steeper compared to more straightforward ORMs like GORM. It's a good fit for applications where complex data models and type safety are priorities.

If you found this article, than you are probably similar to how I was a few months ago. I started a project in Go that required a SQL backend and I wanted to use any tool that would help me build this backend quickly. I stumbled upon entgo (an ORM for Go) and decided to give it a try.

The ent orm for golang actually does some useful work for you. https://github.com/ent/ent

Backend Database interaction with entgo

You can use entgo.io for ORM stuff, it also has entgql extension that integrated with GQLGen. See more at the document: https://entgo.io/docs/tutorial-todo-gql