serviceq VS ent

https://github.com/gptankit/serviceq - a load balancer and queue (need http2 support) https://github.com/gptankit/go-wasm - wasm experiments in go (if you want to help community adapt to wasm using go)

If interested in load balancers/proxies and networking in general, you may want to look at https://github.com/gptankit/serviceq.

When you have so many metrics to consider, ideal choice is to assign weights to each metric and let the load balancer distribute load probabilistically (think weighted random). Implemented a load balancer in Go on similar lines (https://github.com/gptankit/serviceq) by calculating 'effective error' as weight from each node and inversely distributing load to the cluster. This ensures that a) one single node doesn't get overwhelmed with all the requests and b) even if some node is down, it keeps receiving a small percentage of requests (albeit lesser and lesser as time progresses).

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