django-s3direct
instance-scheduler
django-s3direct | instance-scheduler | |
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3 | 1 | |
641 | 15 | |
- | - | |
0.0 | 0.0 | |
3 months ago | almost 2 years ago | |
Python | Python | |
MIT License | MIT License |
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django-s3direct
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How can I handle very large file uploads
There's also the S3direct package which wasn't exactly what I wanted but might work for you.
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How to manage large files with Heroku and Amazon S3 Buckets in Django Projects
Now that we have defined the solution flow, let’s talk about the tools. The first one I want to mention is django-s3direct, a library to directly upload files to the Amazon bucket from the admin panel. Also, it provides a model field that corresponds to the URL stored in the database.
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Large video files uploading?
I haven't used it but https://github.com/bradleyg/django-s3direct looks like it might do the job - upload directly to S3.
instance-scheduler
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Create Instance Scheduler on Serverless by using Lambda, DynamoDB, API Gateway, Cognito,S3 and CloudFront
The instance scheduler is open source and based on AWS serverless architecture.
What are some alternatives?
mangum - AWS Lambda support for ASGI applications
yuta - ☁️ Upload a file to AWS S3 and return the Cloudfront link, using Lambda functions in Golang
django-cognito-jwt - An Authentication backend for Django Rest Framework for AWS Cognito JWT tokens
aws-sam-cli - CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM [Moved to: https://github.com/aws/aws-sam-cli]
mvp-rocketship-template - A simple template to develop, publish, and test a simple .NET service backend on AWS, with serverless Lambda functions, supported by DynamoDb, behind an API Gateway, and protected by Cognito auth.
AWS-E-Scooter-Tracker - Use AWS Lambda to Pull E-Scooter and E-Bike Location Data, store in S3 & Redshift using Data Vault Data Model, Server to Google Data Studio Dashboard
aws-sam-cli - CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
Zappa - Serverless Python
Zappa - Serverless Python