goreleaser VS testcontainers-go

I also got my eyes on GoReleaser, which I will use in my (Go) projects.

With "xq", I went even further and automated the release process using GoReleaser. To publish a new release, the only thing I need is to create and push the Git tag. The corresponding GitHub Action will trigger a release process, and GoReleaser prepares the binaries and changelog based on declared conventions. The result has a high level of predictability, and no manual work is required.

Things I can't live without in a new Go project in no particular order:

- https://github.com/golangci/golangci-lint - meta-linter

- https://goreleaser.com - automate release workflows

- https://magefile.org - build tool that can version your tools

- https://github.com/ory/dockertest/v3 - run containers for e2e testing

- https://github.com/ecordell/optgen - generate functional options

- https://golang.org/x/tools/cmd/stringer - generate String()

- https://mvdan.cc/gofumpt - stricter gofmt

- https://github.com/stretchr/testify - test assertion library

- https://github.com/rs/zerolog - logging

- https://github.com/spf13/cobra - CLI framework

FWIW, I just lifted all the tools we use for https://github.com/authzed/spicedb

We've also written some custom linters that might be useful for other folks: https://github.com/authzed/spicedb/tree/main/tools/analyzers

Goreleaser is nice. https://goreleaser.com/

I use goreleaser for packaging my binaries. I'm not currently doing RPM, but it does a lot of services and if you don't hunker down on a single solution, it might help with keeping your releases up to date/in sync.

There's some packaging issues, for example, we've always wanted to publish deb/rpm packages, but never got around to adding it to either promu or completely switching our build tooling over to GoReleaser.

Let's first look at the original version of the test, in this case, an end-to-end, using testcontainers.

It supports multiple languages (including Go!) and databases (also messaging infrastructure etc.) - All you need is Docker. Testcontainers for Go makes it simple to programmatically create and clean up container-based dependencies for automated integration/smoke tests. You can define test dependencies as code, run tests and delete the containers once done.

Testcontainers Go Documentation

Some of the features: - ✅ Using Vertical Slice Architecture as a high level architecture - ✅ Using Event Driven Architecture on top of RabbitMQ Message Broker with a custom [Event Bus](pkg/messaging/bus/) - ✅ Using Event Sourcing in Audit Based services like [Orders Service](services/orders/) - ✅ Using CQRS Pattern and Mediator Patternon top of Go-MediatR library - ✅ Using Dependency Injection and Inversion of Controlon top of uber-go/fx library - ✅ Using RESTFul api with Echo framework and using swagger with swaggo/swag library - ✅ Using Postgres and EventStoreDB to write databases with fully supports transactions(ACID) - ✅ Using MongoDB and Elastic Search for read databases (NOSQL) - ✅ Using OpenTelemetry for collection Distributed Tracing with using Jaeger and Zipkin - ✅ Using OpenTelemetry for collection Metrics with using Prometheus and Grafana - ✅ Using Unit Test for testing small units with mocking dependent classes and using Mockery for mocking dependencies - ✅ Using End2End Test and Integration Test for testing features with all of their real dependeinces using docker containers (cleanup tests) and testcontainers-go library

For example, you could take a look at this open-source project that helps you spawn docker containers as part of your test setup enabling you to execute queries to a local database.

Using something like TestContainers to spin up a DB for testing has been my best experience. Any mocks leave too much room for error imo

I highly recommend testcontainers for this.

The next block in .gitlab-ci.yml is the services block. Since our tests use testcontainers package and we're pushing a docker container onto Dockerhub, we will need to specify a services block next. Services will enable our pipeline to leverage Docker-in-Docker DinD.