静态网站悖论 个人网站的两种不同实现方式：一种是复杂的内容管理系统（CMS），另一种是简单的静态 HTML 文件。文章指出，尽管大多数普通用户倾向于使用复杂的解决方案（如 WordPress），但实际上，只有少数专业软件工程师能够选择更简单的静态网站。 via HackerNews 2024 10 09 前两天刚好听朋友说 square space 已经涨到了近乎搞笑的 $25 月费，做不用来盈利的个人博客实在难以 justify。这篇文章中吐槽得很在点子上： normal users are stuck with a bunch of greedy clowns that make them pay for every little thing, all while wasting ungodly amounts of computational power to render what could have been a static website in 99% of cases. 普通用户被困在了一群屁大点功能都要收费的贪婪小丑手里，与此同时浪费着人神共愤额度的算力来渲染 99% 的情况下都可以作为静态的网站。 当然原文中说的“只有少数专业软件工程师才能选择更简单的静态网站”略微夸张并不认同，因为静态站至少是比 self-host 的动态 CMS 少太多维护了。我的 backlog 里也一直躺了篇安利新手用静态站并拉踩 WP 的文，不过网上这种文已经有无数了也还是拦不住前赴后继往各种 CMS 的坑里冲的新手，觉得写了又有什么意义呢就还搁着没写。（当然迟早会像以前反复造的无数轮子一样被废话欲战胜的 but not today） #indieblog#newletter
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搜索 #wsgi
@djangoproject · Post #452 · 2017/09/29 13:28
https://docs.djangoproject.com/en/1.11/howto/deployment/wsgi/ How to deploy with #WSGI Django’s primary deployment platform is WSGI, the Python standard for web servers and applications. Django’s startproject management command sets up a simple default WSGI configuration for you, which you can tweak as needed for your project, and direct any WSGI-compliant application #server to use. #django
@djangoproject · Post #282 · 2017/03/29 02:50
https://github.com/Miserlou/Zappa#about Zappa makes it super easy to build and deploy all Python #WSGI applications on #AWS Lambda + #API Gateway. Think of it as "#serverless" #web hosting for your Python apps. That means infinite scaling, zero downtime, zero maintenance - and at a fraction of the cost of your current deployments! If you've got a Python web app (including Django and Flask apps), it's as easy as: $ pip install zappa $ zappa init $ zappa deploy and now you're server-less! Wow! What do you mean "serverless"? Okay, so there still is a server - but it only has a 40 millisecond life cycle! Serverless in this case means "without any permanent infrastructure."
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@djangoproject · Post #523 · 2017/12/13 20:27
http://www.jaggedverge.com/2017/11/how-a-web-page-request-makes-it-down-to-the-metal/ How a web page request makes it down to the metal by : Janis Posted in : Tutorials, work-in-progess Tags : #NGINX, #Python No Comments The other day I was interested in how many steps occur between sending a #POST or #GET#request from a website to the actual processing that happens on the CPU of the #server. I figured that I knew bits and pieces of the puzzle but I wanted to see the complete path from the highest levels of abstraction all the way to the lowest without missing anything too big in-between. It turns out that in a modern web system there are a lot of steps. I have been really fascinated by this much like the explorer that wants to find a path from one known place to another. If you are interested in better understanding how your computer works you might find walking along this path with your tech stack helpful. Frontend prelude: GET request Browser page #rendering POST request sidenote: #CSRF#token Network stack sidenote: The Internet #TCP sidenote: more comprehensive treatment of network stack Backend Handling web request #WSGI #Django Django URL routing Django views Python implementations #CPython CPython bytecode CPython bytecode execution details Machine Code CPython to machine code Machine code execution Hardware implementation details Microcode Processor #pipeline Silicon implementation of addition Silicon adder unit AND gate Transistor
@djangoproject · Post #513 · 2017/11/30 22:00
#AI#Artificial_Intelligence #AJAX #aiohttp #Anaconda #AngularJS #API #Atom #AWS #asyncio (#Asynchronous) #audio #automated_testing #automation #atexit #BeeWare #Big_Data #bitcoin #blockchain #Bluemix #Brython #button #Celery #client #class #classmethod #concurrency #Coroutine #cron #CSS #curl #data_analysis #data_mining #data_processing #database #Deep_Learning#deep_learning #Debian #decorator #deploy #dict #dispatch #django #django_cms #Django_REST_Framework #dropdownbox #Docker #event #Firefox #Flask #form #functions #Generator #GeoDjango #git #Google #GPU #GUI #Gym #host #HTML #httplib #learn #Image_processing #intelligence #input #Instagram #IOT #iPython #Jupyter #lambda #learn #License #Linux #lists #machine_learning #Magenta #map #Matplotlib #Metaprogramming #Micro_services #Micropython #mind #monitoring #MongoDB #modules #Mozilla #Multipart #multi_touch_apps #multiprocessing #Nodes #NoSQL #numeric_computation #numerical #NumPy #network #neural_network #OAuth #object_serialization #OCR #overloading #package #parallel #pipeline #protocols #PostGIS #pyAudioAnalysis #pycon #Pyflakes #PyInstaller #PyPI #PyQt #PySide #PyTorch #pytest #python #Pyvideo_archives #Qt #Raspberry_Pi #React #Redis #random #request #Regular_Expressions (#re) #REST #RSS #satellite #scikit_learn #SciPy #scrapy #searching #selectbox #Selenium #serialization #server #sessions #single_responsibility_principle #socket #Spark #str #submit #task #telegram #template #TensorFlow #test #text_boxes #text #tuples #unicode #Universe #Unix #unit_test #urllib #upload #uWSGI #Web #WSGI
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