Define Lambda function handler in Python. Working with .zip file archives for Python Lambda functions. Deploy Python Lambda functions with container images. Working with layers for Python Lambda functions. Using the Lambda context object to retrieve Python function information. Log and monitor Python Lambda functions. AWS Lambda function ...

Oct 1, 2023 · Learn how to use Python and Lambda Functions to automate tasks in AWS. Hello and I’m glad that you are here. I am excited to share this project with you.

This repo serves as a starting point for building reliable aws lambda functions in python. These examples are focused on not only teaching the basics, but providing examples of common use cases, and discusses the developer workflow that I have learned to use.

This pattern shows how to structure a Python project in hexagonal architecture by using AWS Lambda. The pattern uses the AWS Cloud Development Kit (AWS CDK) as the infrastructure as code (IaC) tool, Amazon API Gateway as the REST API, and Amazon DynamoDB as the persistence layer. Hexagonal architecture follows domain-driven design principles.

Oct 28, 2024 · This blog introduces five interesting AWS Lambda project ideas that will show you where and how to implement Lambda in the best possible way. Downloadable solution code | Explanatory videos | Tech Support.

Jun 22, 2019 · In order to show how useful Lambda can be, we’ll walk through creating a simple Lambda function using the Python programming language. We’ll test it out, as well as take a look at what Lambda provides for metrics and logging.

5 days ago · A well-structured project is easy to maintain, scale, and share with others. In this post, I will show common file and folder structures I personally use in my projects. These structures are helpful for newcomers, junior devs, or even freelancers who want to start clean from the beginning. 🐍 1. Python Project for AWS Lambda (Multiple Files)

May 31, 2020 · In this first article, I’ll introduce the example scenario and focus on the Lambda itself, looking at the source code and the patterns I used to increase readability and testability. Furthermore,...

Jan 28, 2021 · In this article, we are going to build a simple serverless microservice on AWS that enables users to create and manage movies data. We will set up an entire backend using API Gateway, Lambda and DynamoDB. Then we will use SwaggerHub as an integrated design environment for our APIs:

This repository contains a sample CRUD API in written in Python using AWS Lambda. The project is structured in hexagonal architecture. The API is exposed using Amazon API Gateway. Amazon DynamoDB is used as the data repository. The architecture is completely serverless. Clients can send requests to an Amazon API Gateway endpoint.