When lock down started last year, I began work on a project I've been thinking about for a while.
It's a PaaS (like Heroku) you can run on your AWS account.
a thread 🧵👇
Hey #PyConUS, let’s talk about performance and scaling for Python on the web. Django, FastAPI, or any other framework.
I’m hosting an open space at 3pm in S-3. Hope to see you there.
Today's #LunchTalk is @ipmb's @djangocon talk, “High Performance Django at Ten: Old Tricks & New Picks”.
https://t.co/UVP3bXWZyt
You should watch this if you are interested in:
- Scaling your Django application
- DevOps for Django applications
#Django#DevOps
@evilsocket Always baffles me... what is happening in the background to make this so slow? You'd think this would happen at close to "start a container" speeds. Even spinning up an EC2 instance doesn't take this long.
It's not "rack a new server" timeframe, but feels close sometimes😆
Your framework stays reliable thanks to thousands of volunteer hours — and they need your support. 💚 Join the annual Django Fundraiser by the DSF & @JetBrains: Get 30% off PyCharm, and your purchase becomes a donation to Django! Only until November 11! https://t.co/1MKy9ijdfW
@simonw@TheAndresRosa Don’t remember where I saw this take, but I like it: Software will be cheaper to produce. Basic economics would say that if the price of a good goes down, demand will go up.
I can definitely see custom software getting built at companies that otherwise couldn’t afford it.
@mitsuhiko AWS has all the services, but cross-service developer experience doesn’t seem like a big priority for them. The additional layer is a necessity unless you want to learn it all from the ground up.
I’ve spent a lot of time in this space with @apppackio if you ever want to chat.
Learn how to integrate MCP servers into your Python LLM code with this step-by-step guide! Enhance your AI workflows and streamline communication between servers with practical implementation tips. #Python#LLM#MCP#AI
https://t.co/9aDP2oa8FG