trillian VS wild-workouts-go-ddd-example

Archived. Not sure when. :( I'm not sure what if anything is a decent replacement/substitute.

In the README examples I see text about what I think is Certificate Transparency. That was definitely the first thing this made me think of. There's also a lot of talk in the project about CONIKS[1], & associate research papers are about 'bringing key transparency to end users'.

The scenarios[2] are interesting, but I'm not sure fully how this project helps. They explicitly call out Upspin for encrypted storage, which was linked recently[3].

It appears to make heavy use of the Trillian cryptographically verifiable data store[4].

[1] https://www.schneier.com/blog/archives/2016/04/coniks.html

[2] https://github.com/google/keytransparency/blob/master/docs/s...

[3] https://news.ycombinator.com/item?id=31520559

[4] https://github.com/google/trillian

Related is Google Trillian: https://github.com/google/trillian

https://stackoverflow.com/questions/37058322/how-can-i-verif...

CT (Certificate Transparency) is another approach to validating certs wherein x.509 cert logs are written to a consistent, available blockchain (or in e.g. google/trillian, a centralized db where one party has root and backup responsibilities also with Merkle hashes for verifying data integrity). https://certificate.transparency.dev/ https://github.com/google/trillian

Does docker ever make the docker socket available over the network, over an un-firewalled port by default?

Yeah, right on!

We're looking in more depth at other use cases, developing a better understanding of which types of problems this might be useful for, and ways to reason about the properties you want/get from using systems like this (e.g. https://github.com/google/trillian/tree/master/docs/claimant...)

[Disclaimer: I work on CT, Trillian, and some other related projects]

Take a look at: https://github.com/ThreeDotsLabs/wild-workouts-go-ddd-exampl...

(I’m one of the authors.)

This project shows how to apply more complex patterns popular in business applications while staying true to the Go ideas, and not copying them blindly from Java.

In the Go community, you’ll often hear people say „just keep things simple” beats all patterns and is all you need. This may be true if you write a CLI tool or a small library, but if you have a team maintaining a big application, some patterns are super helpful.

Here is a reference implementation by the same authors of the blog post you referenced: https://github.com/ThreeDotsLabs/wild-workouts-go-ddd-example/tree/master/internal/trainer.

In this case I recommend Three Dots Labs blog and Ardan Labs courses and blog posts.

As a rather new developer, I'm ashamed to admit that I struggle with this. I've seen the Dave Cheney writeup about it and I agree with your reasoning, but sometimes I end up in situations like this, where they wrote a server utility, put it into the common package and imported it into the services that need it. The issue I have is the organization of it all because the folder structure seems to make a clear separation of the core services from the utility package. If you have any ideas or tips to help avoid it, that'd be awesome!

Clean architecture is not tied to some specific paradigm. It's a way of thinking about programs that is common to almost every mature developer. Many developers use it without even knowing the name - they just came to it by themselves through many tries and errors. There is a good free book about using it in Go, called Go with the Domain if you interested.

Wild Workouts should match your needs: https://github.com/ThreeDotsLabs/wild-workouts-go-ddd-example

For Event-Driven / DDD / Microservice projects, take a look at this Github org https://github.com/ThreeDotsLabs and their blog detailing the techniques used https://threedots.tech .

Nice job at taking a stab at DDD in Go! You may want to check out https://github.com/ThreeDotsLabs/wild-workouts-go-ddd-example for some inspiration and learning around DDD and Go.