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.
The Repository pattern in Go: a painless way to simplify your service logic
I’ve seen a lot of complicated code in my life. Pretty often, the reason of that complexity was application logic coupled with database logic. Keeping logic of your application along with your database logic makes your application much more complex, hard to test, and maintain. There is already a proven and simple pattern that solves these issues. The pattern that allows you to separate your application logic from database logic.
When to avoid DRY in Go
In case you’re here for the first time, this post is the next in our Business Applications in Go series. Previously, we introduced Wild Workouts, our example application built in a modern way with some subtle anti-patterns. We added them on purpose to present common pitfalls and tips on how to avoid them. In this post, we begin refactoring of Wild Workouts.
A complete Terraform setup of a serverless application on Google Cloud Run and Firebase
In the previous post, Robert introduced Wild Workouts, our example serverless application. Every week or two, we will release new articles related to this project, focusing on creating business-oriented applications in Go. In this post, I continue where Robert left off and describe the infrastructure setup. We picked Google Cloud Platform (GCP) as the provider of all infrastructure parts of the project.
Building a serverless application with Go, Google Cloud Run and Firebase
Welcome to the first article from the series covering how to build business-oriented applications in Go! In this series, we want to show you how to build applications that are easy to develop, maintain, and fun to work with in the long term. The idea of this series is to not focus too much on infrastructure and implementation details. But we need to have some base on which we can build later.
Popular
- The Go libraries that never failed us: 22 libraries you need to know
- Safer Enums in Go
- Common Anti-Patterns in Go Web Applications
- How to implement Clean Architecture in Go (Golang)
- The Repository pattern in Go: a painless way to simplify your service logic
- Introduction to DDD Lite: When microservices in Go are not enough
Tags
- golang
- go
- watermill
- ddd
- domain-driven design
- events
- web-applications
- anti-patterns
- clean architecture
- ci
- firestore
- cloudrun
- gcloud
- googlecloud
- serverless
- testing
- advanced
- databases
- devops
- event-driven
- firebase
- gitlab
- microservices
- reactive
- repository
- architecture
- basics
- building-business-applications
- cqrs
- kafka
- mysql
- nats
- pipelines
- scalability
- transactions
- amqp
- authentication
- backend
- balance
- bounded-context
- c4
- cicd
- design-patterns
- diagrams
- docker
- dry
- e-book
- enums
- event-storming
- frameworks
- gamedev
- generics
- google-cloud
- grpc
- htmx
- intermediate
- javascript
- libraries
- maintainability
- metrics
- monolith
- openapi
- over-engineering
- parallelism
- prometheus
- python
- rabbitmq
- security
- software-architecture
- sql
- sse
- startups
- strategic-ddd
- swagger
- terraform
- tips
- versioning