titiler
mangum
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titiler | mangum | |
---|---|---|
6 | 17 | |
686 | 1,594 | |
3.5% | - | |
8.8 | 2.5 | |
7 days ago | 3 months ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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titiler
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How The Post is replacing Mapbox with open source solutions
There's a lot to like about GDAL+Rasterio, although I've found having all HTTP requests go through GDAL's C API does result in some limitations on concurrency and multithreading. GDAL's configuration being based entirely on env vars also has its downsides: https://github.com/developmentseed/titiler/issues/186
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Extending PostGIS with TiMVT/TiFeatures and PgSTAC
TiMVT and TiFeatures, along with TiTiler for raster services, complete a trio of python-FastAPI services. The current roadmap includes merging TiFeatures & TiMVT, the vector-based services, into a single project to reduce code redundancy.
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Serverless GIS
COGs are great, but from my experience micro services like titiler don't support complex styling logic. Is there a possibility to create a serverless WMS service with complex styling requirements?
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geotiff mosaic viewer / qgis?
Consider something like titiler if you want to serve the pile of geotiffs out to the web.
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Configuring >100GB of imagery as raster tiles, TMS / WTMS, AWS S3 storage?
We were able to host 10gb six band rasters as well as 2cm RGB split into 100m tiles on S3 using COGS, mosaic.json and the TiTiler project which is powered by AWS lambda functions
mangum
- Why the Serverless Revolution Has Stalled
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Is there any batteries-included framework designed specifically for serverless functions?(preferably Python)
Hey! I was in the same place as you are, and the best solution I found was to use Mangum (https://mangum.io/). I believe it also works with Django. Mangum is an adapter that transforms lambda events into the corresponding structure to be received by your Framework API endpoints. We are currently using it with FastAPI and it's great. We code our backend without thinking about whether it will run on Lambda, and Magum takes care of the rest.
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Is it really advisable to try to run fastapi with predominantly sync routes in a real world application?
In the real world I'm never using static cloud resources. It's all serverless, containers, or horizontal auto-scaling. I let the infrastructure handle asynchronous scaling when needed. For FastAPI specifically I've used Mangum: https://mangum.io/ to provide the asynchronous invocation below the ASGI layer. Then all my FastAPI code can just be synchronous.
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Options to host a ReactJS + FastAPI + SQLlite application?
I discovered https://github.com/jordaneremieff/mangum which basically transforms a fastapi app to be compatible with aws lambda.
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Serverless Rest API : api gateway + lambda with RDS database
Should I create only 1 apigtw resource with 1 lambda and use mangum + fastapi for my rest api ?
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Yet another implementation for Slack Commands
Mangum: For the integration of the Aws Lambda and the Api Gateway with the FastApi
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AWS with a Django app
If you go the lambda route, you can use DRF (or any ASGI app) using https://mangum.io/
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Running Containers on AWS Lambda
Yes, it's possible to wrap any asgi app to run in a lambda. Check out Mangum https://github.com/jordaneremieff/mangum
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Observability Best Practices when running FastAPI in a Lambda
But we do not have a handler function, do we? We have a Mangum object wrapping the FastAPI application. Luckily, the Mangum object acts as a handler function, so we can just add the following in example/src/app/__init__.py:
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Django Rest API with AWS lambda or any other server less
I've used fastapi in a lambda. The package Mangum simplifies the conversion of lambda handler to a more tradition request.
What are some alternatives?
gdal2tiles-leaflet - Generate raster image tiles for use with leaflet.
Zappa - Serverless Python
rasterio - Rasterio reads and writes geospatial raster datasets
docker-flask-example - A production ready example Flask app that's using Docker and Docker Compose.
fastapi-crudrouter - A dynamic FastAPI router that automatically creates CRUD routes for your models
aws-simple-websocket - Using AWS's API Gateway + Lambda to run a simple websocket application. For learning/testing.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
geoserver-rest - Python library for management for geospatial data in GeoServer.
fastapi-microservice-template - A template for a FastAPI based Serverless Framework microservice running on AWS Lambda
chalice - Python Serverless Microframework for AWS