MongoDB with Async Python Transcripts
Chapter: Deployment
Lecture: Final Comments on Speed
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One final thing I want to just add here. I didn't highlight it before when I first ran this Remember, this is the speedy CLI that we're using
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So when you see these numbers like oh it took over a second to get the summary or if we say give us the most recently updated packages and that took
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800 milliseconds Remember what we're doing here. This was a performance testing version where we're running these commands a hundred times each
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And then we're saying how long that took. So for example, for this one, that's 8.7 milliseconds in our production infrastructure
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to go from one server over the encrypted network to the other and back, right? So don't let these numbers here scare you.
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These are really pretty decent high-speed numbers for just a couple of milliseconds to do these different queries here.
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I guess just go and run the search one more time here really quick to get a package took that long, but again, divided by 101
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millisecond. That was pretty awesome. If we go and ask for a certain version, that also took about one millisecond. That one searching remember quarter
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million packages interspersed embedded within 5000. Sorry, quarter million vert releases within 5000 packages. So it's, it's working great. It's super
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fast. Alright, that's it for the deployment. It takes a little bit of getting used to to put all these pieces together, but once you get it set up
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and you have a script to remind you these are the steps in this order, it's honestly pretty easy to do. So whether you do self-hosting
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or you do some kind of cloud as a service, a MongoDB as a service type thing, it's one of these two steps and it's not too hard.
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So have fun, good luck, and follow along. Be safe out there.