922 karma · joined April 23, 2017
Having been through a 2 year legal battle myself, I can tell you that the complexity is there for a reason, and that reason is lawyers arguing a client's case, the court reconsidering their previous opinion, and hopefully a more fair outcome going forward. The world is far more complex than we can imagine, otherwise we'd be able to write perfect, simple laws.
Let me give you a challenge: Say my wife and I are getting a divorce, and we are splitting up community property. I have options and RSUs (any equity asset on a vesting schedule really) that I was awarded before we were married, some that were awarded after, some awarded before that vested after our date of separation. These all have different vesting schedules, strike prices, and hypothetical future value (stock might tank, might leave before it all vests, etc). What is a simple law to determine what dollar value I owe my ex for her interest in this community property?
I've seen this first hand, as I had a brutal two year long divorce case, and in spending time with my attorney, got to see many opportunities for technology to improve their jobs. I actually wrote some Python to calculate something called the Hug/Nelson formula to figure out community property interest in options/RSUs. I was really surprised that nothing existed to do this for me, and even played with the idea of making an app to sell to lawyers, because they are seeing more and more divorce cases with these types of assets being split. But where to start? How do you "certify" something to the degree that a lawyer will trust it? It's a huge market potential I think, but the status quo seems pretty entrenched.
It definitely didn't feel like a bargain, but so much of what you are paying for is the knowledge of what needs to be filled, when, maintaining the case docket, serving discovery, filing motions, etc. and all of these can be incredibly puzzling for someone not familiar with proceedings of the court.
Small note: you have a typo, "long tale" should be "long tail".
One point that was made in the video was that inside a black hole, space is collapsing faster than light. This seems like more than a change to coordinate system? Doesn't this mean that time is also moving faster than light? Could time effectively become "solid" at the singularity, with all events within the black hole's light cone at a single point in time, but in infinite space(ignoring Hawking Radiation)?
After watching, I have a question, please forgive if it is ridiculous or displays some fundamental problem with my layman's understanding of the subject.
If time becomes space-like, and space becomes time-like, can we think of black holes as "time stars"? Would every black hole within our observable universe contain information from all light cones within the observable universe? In other words, would different black holes contain different information?
Does my question make sense?
* Unless you happen to be a photon.
We use Kubernetes to trigger rolling restarts with new images when we release a change to the base image, and so far it's been painless, but a lot of work went into it. We use Gitlab, but any CI/CD should allow you to do it.
I'm talking about getting a Kubernetes cluster (of any kind really, but specifically on-prem) _integrated_ and doing useful things with existing legacy workflows inside your company using an existing infrastructure is a larger task than I see it made out to be.
Are you running databases in Kubernetes? Do you have any existing on-prem infrastructure that you want to utilize (or are required to, because sunk costs) to integrate with Kubernetes?
Is you company a startup with no existing legacy application that you need to figure out how to containerize before you can even think about getting it into Kubernetes? We've seen benefits from running it, for sure, but I'm honestly not sure if the amount of work it took (and still takes) to make it work for us was worth the ROI.
Sometimes I feel like Kubernetes is a play by Google to get everyone using their methodology, but only they can provide the seamless experience of GKE.
"Kubernetes allows you to scale simply!"*
"Kubernetes takes minutes to set up!"*
*When using GKE or another managed service.
I was responding more to the comments I had been reading, not the premise of the article.