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Not asking customers to manage a local python installation is one thing, although I totally understand how excel + python power users would likely be comfortable bringing and maintaining their own python runtime.

Not seeing anyone mention it, so I'll just share: https://k8slens.dev/

Lens has been a huge boon for helping us manage our kube cluster and regular devops operations, and even 15 minutes with it helped me grok a number of complex kubernetes concepts that I've struggled with for awhile now.

Everyone who works with k8s for a living should at least know of this tool imho its fantastic with prometheus

I've found the number one cause of flakiness in tests is from misuse of nondeterministic or highly stateful functions. This becomes especially apparent when you recognize a lot of nondeterminism comes from misusing datetime libraries such as momentJS, or from Math.random . Even integration tests against certain "eventually consistent" databases tends to result in flakey tests. Entropy and Time libraries are intentionally nondeterministic, so the use of these should be recognized when writing tests, and designing functional "cores" that can do predictable operations when given testable inputs.

Ain't no one got time for flakey tests.

They weren't doing that already?

I automate my garden. In the summer I have it configured with an automatic drop. I still get to play in my garden and there's always more annual maintenance to do, but the general watering and care is easily automated with a drip timer from home depot.

This guy gets it. Software Engineering is about using the appropriate tools and techniques for the task at hand. If your repo gets so large it can't be comfortably checked out, something needs to get split apart.

Monorepos are also a great technique for tackling large legacy codebases. When the rot is all in one designated place, it becomes easier to encourage good developer habits on new code created in new, separated repo(s).

Speaking from experience I've worked on a team operating through a monorepo project that came out real well. The codebase was mostly golang, so everything lived in the GO_PATH, but for the most part the typescript in the UI side of the repo didn't complain. Testing and code quality was a higher priority, as well, which may have contributed to its success.

I have also worked on a monorepo project that had minimal tests and automation, that soon grew monstrous and ultimately needed refactoring. That was a big pile of coffeescript, es6 and java that ultimately refactored into three different node modules and two microservices.

Javascript and its module packaging tends to conform better to polyrepo patterns. golang code all wants to be in the same place, and java repos have their own desired nested directory structures. These two languages tend to encourage monorepo design patterns.

Monorepo or Polyrepo, the correct answer is whatever works for your team and task at hand.

> which I'm realizing we may want in our DSL since we're converting user input strings to atoms

careful there. Theres a hard limit on the number of atoms that can be created in an environment, and serializing user input to atoms can get dangerous

So is this what the old rethinkdb team have been working on at stripe?