mangum
aws-embedded-metrics-node
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mangum | aws-embedded-metrics-node | |
---|---|---|
17 | 7 | |
1,594 | 241 | |
- | 1.2% | |
2.5 | 5.0 | |
3 months ago | 30 days ago | |
Python | TypeScript | |
MIT License | Apache License 2.0 |
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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.
aws-embedded-metrics-node
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💔 Goodbye Cold Starts ❤️Hello Proactive Initialization
Lamby will now publish CloudWatch Embedded Metrics in the Lamby namespace with a custom dimension for each application's name. Captured metrics include counts for Cold Starts vs. Proactive Initializations. Here is an example running sum of 3 days of data for a large Rails application in the us-east-1 region.
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Question: How to you handle errors in your lambda ?
I was looking into CloudWatch Embedded Metrics - which is a format that converts logs into cloudwatch metrics automatically.
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Lambda Powertools TypeScript is Generally Available
Often when it comes to metrics, we think about CPU, latency and other operational metrics and AWS services usually provide those out of the box. This kind of thinking can be flawed when we end up having to use 3rd parties such as google analytics to infer critical business events. A simpler solution is to have the application emit a metric when a business event (say a customer signup) occurs. We have a few options for doing this: We can use aws-sdk, we can use the aws-embedded-metrics lib and now we can use Powertools Metrics. Which is the best? Let's see.
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Observability Best Practices when running FastAPI in a Lambda
Let's explore the next core utility in Lambda Powertools, the Metrics utility. This utility lets you easily push metrics to CloudWatch by taking care of all the necessary boilerplate. It works asynchronously by using Amazon CloudWatch Embedded Metrics Format, by logging the metrics to stdout. It also aggregates all metrics from each invocation to save on the number of calls to CloudWatch.
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How to report CloudWatch metrics without AWS SDK
To make it easier to create such an object, AWS has provided libraries for Node.js, Python, Java, and .NET. The above example using the AWS SDK can now be written as follows:
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First Look at Lambda Powertools TypeScript
Custom metrics have a pricing structure which can be expensive. Embedded Metrics Format can help manage the cost and is supported by Lambda Powertools TypeScript. Again, the docs here are pretty good, so no need for me to break it down. Instead let's look at the experience. I've added a custom metric of "collectionSuccess" to my collectionSuccess function. In my hypothetical app, some payments wind up in collections and here I'm marking whether or not the collection resulted in a payment.
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How To Debug AWS Lambda: A Detailed Overview
You can use metrics to aid debugging by adding them to your dashboards that we talked about earlier. It’s also possible to add custom metrics, and there are many libraries and tools (e.g. node, python, etc) which can help you do this.
What are some alternatives?
Zappa - Serverless Python
supertest - 🕷 Super-agent driven library for testing node.js HTTP servers using a fluent API. Maintained for @forwardemail, @ladjs, @spamscanner, @breejs, @cabinjs, and @lassjs.
docker-flask-example - A production ready example Flask app that's using Docker and Docker Compose.
deno-lambda - A deno runtime for AWS Lambda. Deploy deno via docker, SAM, serverless, or bundle it yourself.
aws-simple-websocket - Using AWS's API Gateway + Lambda to run a simple websocket application. For learning/testing.
middy - 🛵 The stylish Node.js middleware engine for AWS Lambda 🛵
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
aws-embedded-metrics-dotnet - Amazon CloudWatch Embedded Metric Format Client Library
fastapi-crudrouter - A dynamic FastAPI router that automatically creates CRUD routes for your models
docker-lambda - Docker images and test runners that replicate the live AWS Lambda environment
chalice - Python Serverless Microframework for AWS
aws-embedded-metrics-python - Amazon CloudWatch Embedded Metric Format Client Library