Common anit-pattern in go web applications — screenshot of threedots.tech

Common anit-pattern in go web applications

This article is a solid read on common anti-patterns in Go web applications. It effectively highlights practices like overzealous DRY and single-model structures that lead to tight coupling, which I find crucial to avoid for maintainable Go architectures.

Visit threedots.tech →

Questions & Answers

What is this article about?
This article discusses common anti-patterns encountered when building web applications in Go. It focuses on issues that lead to tightly coupled and unmaintainable software, offering insights on how to avoid them.
Who would benefit from reading about Go web application anti-patterns?
This article is primarily for Go developers and architects working on web applications who want to build more maintainable and scalable systems. It's particularly useful for those struggling with increasing complexity and coupling in their projects.
How does this article's advice on coupling differ from typical microservices discussions?
The article emphasizes that loose coupling is achieved through well-defined module boundaries, irrespective of deployment (monolith or microservices). It warns against the "distributed monolith" anti-pattern, where microservices are implemented without addressing underlying coupling issues, merely adding network overhead.
When should a developer consider applying the architectural advice from this article?
Developers should apply this advice early in the design phase of a Go web application to establish maintainable foundations. It's also beneficial when refactoring existing applications that suffer from tight coupling, performance issues, or difficulty in adding new features.
What is a specific anti-pattern discussed regarding Go struct usage?
A specific anti-pattern highlighted is using a single Go struct with multiple tags (e.g., json, gorm, validate) to represent a model across different layers (API, storage, logic). This practice introduces strong coupling, making changes to one aspect (e.g., database schema) potentially break others (e.g., API contract or validation rules).