certmagic VS ent

Now, I serve TLS directly from the application and was able to make it all work with Certmagic.

For deployment, you may not need a reverse proxy with Nginx or the likes. Certmagic will make HTTPS a breeze. Also makes it possible to handle multi-tenant SaaS domains SSL provisioning. While not the easiest, it was much easier than trying to do it at the reverse proxy and cheaper than doing it with Cloudflare's SaaS service.

If you don't want to move certificate management to a different service, use CertMagic in your app.

With certmagic its done completly automatic using letsencrypt: https://github.com/caddyserver/certmagic

The project is also a boon for devs. The certmagic library0 makes it trivial to add Let's Encrypt support to any Golang web server code.

Because Lego maintainers wouldn't budge when Caddy needed changes made to increase ACME reliability. Matt wrote his own implementation https://github.com/mholt/acmez and started using that in Caddy soon after. There's a deeper explanation here: https://github.com/caddyserver/certmagic/issues/71

That said, I would use https://github.com/caddyserver/certmagic to manage you SSL certs.

I terminate SSL in GO (less moving parts to manage), and use https://github.com/caddyserver/certmagic to provision and renew my certs.

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