ctop VS Testify

This does remind me of ctop as well: https://github.com/bcicen/ctop

It also let's you look at containers, resource usage graphs, their logs and even do some actions through a TUI.

ssh, nnn, micro and ctop is all I need on my dockerhosts

My problem with ctop is, that it seems to show wrong memory usage data: https://github.com/bcicen/ctop/issues/314

When talk about interface and cli... I am a huge fan of ctop

You can use CTOP. It's like a lite portainer on CLI. You can check logs, stats, restart containers.

In the terminal, there are also a few useful projects:

  - for Docker, there is ctop: https://github.com/bcicen/ctop

> I tried portainer, awful UX experience and all good features are inside paid version.

This is interesting to me, because it doesn't quite match my experience - I've been using Portainer for around 3 years at this point and it's been pretty decent.

The worst issues that I've gotten is networking issues in some hybrid configurations with Docker Swarm (e.g. Portainer cannot reach the manager node of the cluster for a bit), or troubles configuring Traefik ingresses when managing Kubernetes (though I think the recent patch notes talked about improving the ingress section, so maybe the experience will get better with non-Nginx ingresses).

Other than that, it's been great for onboarding new people, illustrating the cluster state at a glance, easily operating with stacks and scaling/restarting services as needed, including pulling new images, viewing the logs or even connecting to containers through a web UI if need be. The webhook functionality in particular is really nice - you can just do a curl request against a given URL and that will pull the new container versions for the given image and do a redeploy, which works nicely with a variety of CI solutions.

When I last tried, initializing Nomad clusters with networking encryption was a bit less of a smooth experience (needing to essentially manage your own PKI) and the web UI felt more like a dashboard, instead of something that you could click around in, if you're a proponent of that workflow.

Rancher is probably better than both of those options, though there's a certain overhead in regards to running both that software and a full Kubernetes cluster. If Kubernetes feels like a good fit for a particular project and resources aren't an issue, definitely check it out! You can, of course, also have some success with lightweight clusters, like K3s: https://k3s.io/

I'll definitely agree that Lazydocker is a nice tool, but I wouldn't call it superior, just different (TUI vs GUI), their demo video is nice though: https://youtu.be/NICqQPxwJWw

It actually reminds me of ctop, which you might also want to check out, though it's not something that you'd manage clusters in, merely the individual containers on a node (which won't always be enough, same as Docker Compose isn't): https://github.com/bcicen/ctop

Regardless, for Kubernetes, I'm inclined to say that you'd enjoy k9s a bunch then, it has a similar TUI approach: https://k9scli.io/

However, something like ctop may be easier to use.

github.com/stretchr/testify

I then verify that there are no issues with writing the body with require.NoError() from the testify toolkit. This will ensure the test fails if something happens to go wrong at this point.

For testing purposes, Go provides a go test command that automatically discovers tests within your application and supports features such as caching and code coverage. However, if you require more advanced testing capabilities such as suites or mocking, you will need to install a toolkit like testify. Overall, while Go provides a highly effective testing experience, it's worth noting that writing tests in Python using pytest is arguably one of the most enjoyable testing experiences I have encountered across all programming languages.

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

Im thinking in wrap or not the library https://github.com/stretchr/testify to do my tests.

Are you limited to the std lib, or can you use testify? You can require things like require.Error()

IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here

To answer OP directly, I am largely quite happy with mockery (and testify) to write expressive tests.

Como herramientas te recomiendo: FastJson https://github.com/valyala/fastjson : Si necesitas leer jsons Testify https://github.com/stretchr/testify : Para mockear y testear