This article mostly covers a pretty impressive load-time reduction through caching, but I was left a bit worried by its implication. I've always been taught that you build your app and if the load times are prohibitively expensive, investigate where you're hanging and then maybe involve caching.
It seems like the article is just blanket recommending caching as a load-time fix, which can introduce overhead. Anecdotal case and point, I used to run a web app for fellow college students to get their cheapest textbooks. I saw that the load times for the page were so long (2+ seconds) that people were navigating off before it had even loaded. And, most of the time, they were just trying to go back to see what they had looked up for their courses. So I started utilizing localStorage to keep hold of loaded data from the client. It went great... until the next semester when everyone had the old cached data. I misappropriated localStorage and, because of it, screwed up royally.
I'm hardly advocating against caching, obviously, I just hope there's nobody currently working on an unfinished app who implements caching far before it's needed (and in my case, incorrectly).
> So how do I measure?
> Stopwatch. Multiple runs. Median.
> If it gets to the point where you can’t press the stopwatch buttons quickly enough, it’s time to go home.
This part confused me. Isn't it somewhat trivial to use something like `selenium-webdriver` and time the shell command to run your script that calls it?
It seems like the article is just blanket recommending caching as a load-time fix, which can introduce overhead. Anecdotal case and point, I used to run a web app for fellow college students to get their cheapest textbooks. I saw that the load times for the page were so long (2+ seconds) that people were navigating off before it had even loaded. And, most of the time, they were just trying to go back to see what they had looked up for their courses. So I started utilizing localStorage to keep hold of loaded data from the client. It went great... until the next semester when everyone had the old cached data. I misappropriated localStorage and, because of it, screwed up royally.
I'm hardly advocating against caching, obviously, I just hope there's nobody currently working on an unfinished app who implements caching far before it's needed (and in my case, incorrectly).
> So how do I measure?
> Stopwatch. Multiple runs. Median.
> If it gets to the point where you can’t press the stopwatch buttons quickly enough, it’s time to go home.
This part confused me. Isn't it somewhat trivial to use something like `selenium-webdriver` and time the shell command to run your script that calls it?