COE also doesn't lead to negative marks on anyone at AWS that I know of. It's a learning experience to know why it happened and action items so it doesn't happen again.
Obviously you can't really do it too often but whenever you do, your earning potential can be increased by quite a bit.
What do you mean by this? (I know someone that was)
It's talking about a component of Github backend called Resque (Distrubuted Job Queue)
As long as I see these thing the architecture is highly distributed and it's possibly composed of micro services.
I've been through a number of large rewrites/reworks that took monoliths much like Github (with many many many services behind it) and split them up into modular pieces and it's an insane amount of work that can take years. You simply need very good reasons (including business reasons) to do that.
Moreover, companies at these sizes just have a LOT of code all over the place. Tooling, infra, supporting services, etc... Not to mention it's just not useful to have external contributors for a business product like Github. Doing code reviews, addressing bugs that were introduced, spending time discussing things with contributors takes an incredible amount of time.
Basically if the reason you want Github open sourced (and reworked into some weird architecture you described) is so that people can contribute to fix things and add features....Github could/will just hire more devs to work on that.
If Github was made with micro services architecture, it could be split into open source "Client side + Test-backend" and closed sourced "Production-backend". Backend can be composed of some interface and multiple implementation such as test impl and prod impl. “the secret sauce” could be the "Production-backend" and MS have good in-house talents who operates Azure so no need for the help from OSS community to improve backend.
However for example +1 button took so long time to be implemented even though it seems like small change in client side code and some adjustments in database. That itch lead to the https://github.com/dear-github/dear-github open letter and signers listed here: https://docs.google.com/spreadsheets/d/1oGsg02jS-PnlIMJ3OlWI...
The last sentence of the open letter says: "Hopefully none of these are a surprise to you as we’ve told you them before. We’ve waited years now for progress on any of them. If GitHub were open source itself, we would be implementing these things ourselves as a community—we’re very good at that!"
I think that's OSS community want, including but not only I want.
I think you're drastically underestimating the amount of code Github is powered by and how freaking long any type of refactor/rewrite would take. We're talking about years.
brew install redis
redis-server
I personally feel that people reach for Docker too quickly. It's worthwhile to learn how things actually work so that you know what to do when Docker eventually fails you.There's literally nothing wrong with reaching for Docker right away. It allows you to have the same, repeatable development environment. Maybe you deploy to production without Docker, but any project I start I'll reach for Docker right away.
Then some tools came out which let you use YAML or JSON to describe the desired state of the world, and some tool would diff that against the current state of the world to determine which resources to create, which to delete, and which to update. People started to conflate "YAML" with this sort of diffing tool and they conflated imperative programming languages with the legacy imperative scripting approach. Early infra-as-code vendors capitalized on the YAML=good/programs=bad myth and re-emphasized it by showing cute toy examples and passing off the simplicity as an effect of the YAML/etc rather than the inherent simplicity of the example.
Unfortunately, pure YAML/HCL/etc doesn't scale--you end up needing to reference resources from other resources (and/or attributes on those resources), and you end up needing to DRY up many repetitious blocks and so on. What you naturally want is to generate those static YAML configs from a programming language; however, IaC vendors had committed themselves to the "YAML = simple" brand so instead they started building half-assed programming language features into their YAML dialect (effectively using YAML to represent abstract syntax trees for the world's crappiest programming languages). Terraform and CloudFormation fall into this bucket.
I guess Helm looked at the landscape and decided it wasn't easy enough to generate syntactically invalid YAML blobs, and consequently decided to use text templates.
Eventually the industry caught on to the scam and demanded programming languages back, so we got CDKs which misunderstand the assignment in a different way. Rather than emitting YAML/etc that can be passed into a diff engine, you get some weird bindings that calls (and is called from) a node process (I can't tell what this node process actually does even after reading the docs).