351–360 of 819 posts
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I don't think we can really blame slow languages. Implementations of languages like javascript, ruby - and I would presume python and php - are a lot faster than they used to be. I think most slowness is architectural.
Js, php are faster; ruby, python not so much
Something all architecture astronauts deploying microservices on Kubernetes should try is benchmarking the latency of function calls. E.g.: call a "ping" function that does no computation using different styles. In-process function call. In-process virtual ("abstract") function. Cross-process RPC call in the same operating system. Cross-VM call on the same box (2 VMs on the same host). Remote call across a network sw…
I think folks often make trade offs with their working requirements. If you provide an end result response from your web app to a user's browser in 50ms-100ms (before external latency) then things like 200 microseconds vs 4 milliseconds have less of a meaningful difference. If your app makes a couple of internal service calls (over HTTP inside of the same Kubernetes cluster) it's not breaking the bank in terms of per…
When Microservices go awry, it's often because one "service" has been broken up to meet some arbitrary org structure that will change in 6 months. In these cases the extra overhead of the microservices becomes additive to the user, and hitting latency budgets becomes exceptionally difficult. Costs increase, and in 12 months the team decry's the non-sensical service boundaries.
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Shit performance is what happens when every response to optimizations or overhead is immediately answered with "premature optimization is the root of all evil." Or the always fun "profile it!" or "the runtime will optimize it" when discussing new language features and systems. So often performance isn't just ignored, it's actively preached against. Don't question how that new runtime feature performs today or even da…
The best is "is IO bound anyway".
Something all architecture astronauts deploying microservices on Kubernetes should try is benchmarking the latency of function calls. E.g.: call a "ping" function that does no computation using different styles. In-process function call. In-process virtual ("abstract") function. Cross-process RPC call in the same operating system. Cross-VM call on the same box (2 VMs on the same host). Remote call across a network sw…
Converted the list to band performed a simple binary search to find it.
A basic python script. could handle about 4,000 records a second.
Corporate IT reached out to Oracle. Built a custom solution that cost probably a couple hundred thousand.
They tried to force us to use it. They were a little upset when I asked if they could up the performance by a few thousand percent.
I was on their shit list after that until I had leave.
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As a person who uses both languages for various needs, I disagree. Things which takes minutes in optimized C++ will probably take days in Python, even if I use the "accelerated" libraries for matrix operations and other math I implement in C++. Lastly, people think C++ is not user friendly. No, it certainly is. It needs being careful, yes, but a lot of things can be done in less lines then people expect.
Which “accelerated” libraries for matrix operations are you talking about? Try writing a matmul operation in C++ and profile it against the same thing done in Numpy/Pytorch/TensorFlow/Jax. You’ll be surprised.
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Yes, it is. > ex·ter·nal·i·ty: a side effect or consequence of an industrial or commercial activity that affects other parties without this being reflected in the cost of the goods or services involved The buyer is an "other part[y]" from the seller's (edit: or better yet, developer, who might just be contracted by the ultimate seller...) perspective, and performance is basically impossible to quantify, therefore pri…
So would a less efficient engine in a car be an externality?
The less efficient engine itself is not because it is priced in. Because the government made them put it on the window of every single car sold.
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I think folks often make trade offs with their working requirements. If you provide an end result response from your web app to a user's browser in 50ms-100ms (before external latency) then things like 200 microseconds vs 4 milliseconds have less of a meaningful difference. If your app makes a couple of internal service calls (over HTTP inside of the same Kubernetes cluster) it's not breaking the bank in terms of per…
MicroServices are great, when your "app" is actually 500 different apps - and the user could be none the wiser that they are talking to 500 different one man applications. You probably need a few helper services in this world for common data access, authorization, sending notifications etc. in this environmen - but these things might also be standard libraries. When Microservices go awry, it's often because one "serv…
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Another consequence of our society’s reduced investment in fundamental physics - instead we go ether.
Perhaps the solution is more on the bioengineering side of things: make smaller people so they can fit in smaller rooms.
Bay Area, 2020s: "Soon we will have rooms the size of a single computer"
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Which “accelerated” libraries for matrix operations are you talking about? Try writing a matmul operation in C++ and profile it against the same thing done in Numpy/Pytorch/TensorFlow/Jax. You’ll be surprised.
Aren't the fast parts of numpy written in C?
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Perhaps the solution is more on the bioengineering side of things: make smaller people so they can fit in smaller rooms.
That would have a nice side benefit or making space exploration much more economical. Faster too if you can bioengineer higher G resistance at the same time. Maybe someday the outer planets will be colonized by tiny humans measured in millimeters, with 125mm humans darting around the various moons shot out of repurposed tank canons, all laughing at the slow giants stuck down the gravity well on Earth.
OTOH can the heart perform equally good if human get miniaturized?