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Safer Enums in Go

Safer Enums in Go

Enums are a crucial part of web applications. Go doesn’t support them out of the box, but there are ways to emulate them. Many obvious solutions are far from ideal. Here are some ideas we use that make enums safer by design. iota Go lets you enumerate things with iota. const ( Guest = iota Member Moderator Admin ) Full source: github.com/ThreeDotsLabs/go-web-app-antipatterns/02-enums/01-iota/role/role.go While Go is explicit, iota seems relatively obscure.

Common Anti-Patterns in Go Web Applications

Common Anti-Patterns in Go Web Applications

At one point in my career, I was no longer excited about the software I was building. My favorite part of the job were low-level details and complex algorithms. After switching to user-facing applications, they were mostly gone. It seemed programming was about moving data from one place to another using existing libraries and tools. What I’ve learned so far about software wasn’t that useful anymore. Let’s face it: most web applications don’t solve tough technical challenges.

Software Dark Ages

Software Dark Ages

A couple of years ago, I worked in a SaaS company that suffered from probably all possible issues with software development. Code was so complex that adding simples changes could take months. All tasks and the scope of the project were defined by the project manager alone. Developers didn’t understand what problem they were solving. Without an understanding the customer’s expectations, many implemented functionalities were useless. The development team was also not able to propose better solutions.

Running integration tests on Google Cloud Build using docker-compose

Running integration tests on Google Cloud Build using docker-compose

This post is a direct follow-up to Microservices test architecture where I’ve introduced new kinds of tests to our example project. Wild Workouts uses Google Cloud Build as CI/CD platform. It’s configured in a continuous deployment manner, meaning the changes land on production as soon as the pipeline passes. If you consider our current setup, it’s both brave and naive. We have no tests running there that could save us from obvious mistakes (the not-so-obvious mistakes can rarely be caught by tests, anyway).

Repository secure by design: how to sleep better without fear of security vulnerabilities

Repository secure by design: how to sleep better without fear of security vulnerabilities

Thanks to the tests and code review, you can make your project bug-free. Right? Well… actually, probably not. That would be too easy. 😉 These techniques lower the chance of bugs, but they can’t eliminate them entirely. But does it mean we need to live with the risk of bugs until the end of our lives? Over one year ago, I found a pretty interesting PR in the harbor project. This was a fix for the issue that allowed to create admin user by a regular user.

Microservices test architecture. Can you sleep well without end-to-end tests?

Microservices test architecture. Can you sleep well without end-to-end tests?

Do you know the rare feeling when you develop a new application from scratch and can cover all lines with proper tests? I said “rare” because most of the time, you will work with software with a long history, multiple contributors, and not so obvious testing approach. Even if the code uses good patterns, the test suite doesn’t always follow. Some projects have no modern development environment set up, so there are only unit tests for things that are easy to test.

Combining DDD, CQRS, and Clean Architecture by refactoring a Go project

Combining DDD, CQRS, and Clean Architecture by refactoring a Go project

In the previous articles, we introduced techniques like DDD Lite, CQRS, and Clean (Hexagonal) Architecture. Even if using them alone is beneficial, they work the best together. Like Power Rangers. Unfortunately, it is not easy to use them together in a real project. In this article, I will show you how to connect DDD Lite, CQRS, and Clean Architecture in the most pragmatic and efficient way. Why should I care? Working on a programming project is similar to planning and building a residential district.

Introducing basic CQRS by refactoring a Go project

Introducing basic CQRS by refactoring a Go project

It’s highly likely you know at least one service that: has one big, unmaintainable model that is hard to understand and change, or where work in parallel on new features is limited, or can’t be scaled optimally. But often, bad things come in threes. It’s not uncommon to see services with all these problems. What is an idea that comes to mind first for solving these issues? Let’s split it into more microservices!

Introducing Clean Architecture by refactoring a Go project

Introducing Clean Architecture by refactoring a Go project

The authors of Accelerate dedicate a whole chapter to software architecture and how it affects development performance. One thing that often comes up is designing applications to be “loosely coupled”. The goal is for your architecture to support the ability of teams to get their work done—from design through to deployment—without requiring high-bandwidth communication between teams. Accelerate If you haven’t read Accelerate yet, I highly recommend it.

4 practical principles of high-quality database integration tests in Go

4 practical principles of high-quality database integration tests in Go

Did you ever hear about a project where changes were tested on customers that you don’t like or countries that are not profitable? Or even worse – did you work on such project? It’s not enough to say that it’s just not fair and not professional. It’s also hard to develop anything new because you are afraid to make any change in your codebase. In 2019 HackerRank Developer Skills Report Professional growth & learning was marked as the most critical factor during looking for a new job.

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