Zappa
template-python-hello-world
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Zappa | template-python-hello-world | |
---|---|---|
36 | 2 | |
3,051 | 18 | |
2.8% | - | |
7.5 | 8.7 | |
3 days ago | 1 day ago | |
Python | Python | |
MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Zappa
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Jets: The Ruby Serverless Framework
If people aren't familiar, there's a similar project for Python that's fantastic: https://github.com/zappa/Zappa
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Building serverless websites (lambdas written with python) - do I use FastAPI or plain old python?
Chalice was a consequence, a reaction from AWS to the release of (Zappa Framework)[https://github.com/zappa/Zappa] that provide a very good alternative to migrate very quickly a Django/Flask or any WSGI compliant solution in Python.
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Best way to host Django DRF on AWS? (so many competing options)
Use Zappa https://github.com/zappa/Zappa and host as a Lambda, simple setup and deployment, Lambda only costs when processing requests, no servers to mess around with
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How to deploy a project from git lab backend where I used django on backend and database
One of my favorite options that is probably the most cost-effective is to deploy using a 'severless' model on AWS Lambda using zappa which supports deploying Python webapps to AWS in this way. Zappa also makes it super easy to deploy in just a couple commands! The README includes instructions for everything you might need, including handling sensitive information like your database passwords, running django management commands, setting up DNS, etc.
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I’m a Brazilian salesforce developer and want to work with django stack. Any tips?
Deployment works nicely with Docker. I often use AWS AppRunner because it's really easy and just scales. Some people use AWS Lambda with Zappa but I don't recommend it unless you really want to spend less than $15 a month. You will probably need Django Storages to save uploads to an S3 bucket. At some stage you might want to put a CloudFront distribution in front of everything but the configuration of the caching behaviour might be a bit confusing when you do it the first time.
- lambda API deployment
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Why or why not use AWS Lambda instead of a web framework for your REST APIs? (Business projects)
It doesn't have to be an either-or! I have several apps in production that were developed on Django or Flask, and deployed to Lambda using Zappa.
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Backend Server with Django Rest API
If you need a relational DB, you can use AWS Aurora or RDS and use cloud functions ('lambda' in AWS) that you can invoke with HTTP to process the document first. Zappa will do a lot of the configuration for you if you go that route.
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Easiest/Best way to deploy django to AWS?
Lambda + API gateway, this library bundles a Django application into a lambda https://github.com/zappa/Zappa . 1 million free invokes from aws, scale to zero, plugs into your RDS
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We clone a running VM in 2 seconds
I use Zappa, it just schedules a frequent execution of the lambda: https://github.com/zappa/Zappa#keeping-the-server-warm
template-python-hello-world
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Python Best Practices for a New Project in 2021
or VMs, and the like.
[1] https://github.com/linz/template-python-hello-world/pull/106...
What are some alternatives?
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
miniforge - A conda-forge distribution.
mangum - AWS Lambda support for ASGI applications
helm - The Kubernetes Package Manager
chalice - Python Serverless Microframework for AWS
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
Poetry - Python packaging and dependency management made easy
PyInstaller - Freeze (package) Python programs into stand-alone executables
aws-sqs-jobs-processer - Serverless jobs processor on AWS
geospatial-data-lake - Central storage, management and access for important geospatial datasets
sample-django-docker - A sample of using Django with Docker and docker-compose
pip-tools - A set of tools to keep your pinned Python dependencies fresh.