I have been sitting on an android update for my phone for probably the last 3 weeks. I just never notice it when it's convenient to update. I once went 9 months with a pending update because I didn't have enough free space to download it. There's no way to prevent software from having bugs, but a better update model could reduce their longevity in the wild.

This is a disingenuous argument, so let me do you a solid and explain why so you can stop embarassing yourself. Bush had already decided to invade Iraq and the CIA report was cherry-picked to seem to legitimize his bias. SRC: http://www.rand.org/content/da...

The sooner we can get to the last wave of capitalism, the better.

Other people would rather sacrifice their work happiness than give up their home comforts. They are offended that you are happy with fewer home comforts because it reflects poorly on their character.

Are we really supposed to pretend that the Russians pose a credible threat to the West? Or are they just relying on boomers failing ability to understand current events to trigger that emotional band-wagoning against the villain of yore?

I used to think that was a good argument, but then I worked with enough organizations to understand that they are all so far from operating at maximum efficiency that paying 20% more than they need to for an employee is the least of their worries. Hell, they are probably carrying all sorts of absurd dead weight in nepotism, and people promoted into incompetency, or simple 'bad hires' who looked good in the interview who haven't been detected yet or need to go through some kind of drawn out HR firing process. They are so far away from caring about the efficiency of 20% salary. Think about it.

Sexism is alive and well, and definitely impacts who is considered 'most competent' in the hiring process. I think /. would agree that most companies hiring developers don't even have an effective method of vetting their skills, much less have hiring managers capable of working around their own biases.

Don't worry, bro. Flyhelicopters comments on every Tesla/electric car article here about how he doesn't want one because he needs a suburban.

I'm about to accept an offer to take over the QA process at a Fortune 100 company.

How do you test software?

uh...

Let me clarify - money isn't be-all measurement of effort. If it was, you are probably not putting any "effort" into the friendship either because the sums of money you spend on them relative to your income are so tiny that the corresponding figure on their part would buy nothing. Sometimes a person really struggles just to have time free from their own problems and pursuits to attend your event, for example.

Friendship isn't based on monetary reciprocation. You sound completely out of touch with the rest of the world.

Yet Epic uses a single node per customer for all but a handful of its customers (Kaiser), and runs all of the customer's applications off that one server. The fact that they were able to do this was a major selling point, not a "limitation".

For Kaiser, they set up logical geographic nodes and built their own sync system to update the network of nodes on demand.

Because performance. Yes, Epic had to put extra work in to essentially build their own version of the SQL server black box, but now they are very difficult to compete with.

Epic doesn't use the Cache SQL API. Instead, they built an API on top of objectscript that stores fields safely. They have a staggering amount of code written in objectscript, and while it's true that "nothing will stop you" from writing directly to the underlying data oddly enough that doesn't seem to be an issue because developers can learn how to follow best practices.

That's rather absolute. It seems performance is an area that hierarchical can be better, at least in certain use cases:

http://www.intersystems.com/assets/datamart_wp-ee478edf530b40311ef506615c0da74d.pdf

Conclusion
In tests simulating a data analysis application typical for a telecommunications software firm, Caché was 41% faster than Oracle when creating a data mart of mobile phone information. When the resulting data mart was queried using SQL, Caché’s response times ranged from 1.8 to 513 times faster. Clearly, Caché’s unique multidimensional data engine make it a good choice for applications that require rapid analysis of large amounts of data.

Do you spend a lot of time being appalled? Many languages have this capability, including SQL and the C variants.