I've updated the service code examples from my re:invent session with Heitor Lessa . The session has over 7000 views on YouTube and it demands up to date code IMHO. The repo is a Python serverless service with a sync and async flows and production ready code with ci/cd and observability best practices, user authentication and more. The repo was created from my AWS Lambda handler cookbook template project. Session link is in the comments. #AWS #Serverless
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I saw this coding challenge on YouTube: coding every day until I land a tech role. Today marks Day 1. What's on the coding menu? - Python Azure SDK projects - Python Django, Flask - Advanced C# (.NET Framework, ASP.NET Core) - MongoDB - Docker, Kubernetes - Advanced Git - HackerEarth coding challenges I will post the code on my GitHub every couple of days. Day 1 code: [https://lnkd.in/d9nKsRyV] #codingchallenge
GitHub - Solly101/Password_Manager: Python script that stored hashed passwords in Azure key vault.
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Are you looking for a better and easier way to deal with environment variables when using #AWS #Lambda in #python? Check out aws-lambda-env-modeler by Ran Isenberg is just 😍 ! #devops #newrelease #envvars
Good news for Python AWS Lambda enthusiasts! 🎉 Version 1.0.7 of AWS-Lambda-Env-Modeler has been released, and it includes the ability to disable the built-in cache optimization for testing purposes. This is crucial for developers who run their tests in parallel in the IDE and supply different environment variables for each invocation. 🚀 For those who are new to this, AWS-Lambda-Env-Modeler is a powerful library that ensures your Lambda function's configuration is always valid. It's designed to make your life easier with Pydantic support and global data class access to your variables, including support for advanced types and value constraints. With this tool in your arsenal, you're in control of your Lambda functions like never before. Check it out and elevate your Lambda game! #AWSLambda #Serverless #CloudComputing #DevOps #TechInnovation 🌟 https://lnkd.in/d-DmnECW
GitHub - ran-isenberg/aws-lambda-env-modeler: AWS-Lambda-Env-Modeler is a Python library designed to simplify the process of managing and validating environment variables in your AWS Lambda functions.
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Exploring Infrastructure as Code with Python: AWS CDK, Terraform CDK, and Pulumi This post is inspired by my PyCon talk, where we explored how Python integrates with IaC tools like AWS CDK, Terraform CDK, and Pulumi! I’ve decided to add it to my blog along with a GitHub repo full of starter examples and guides to help you get started. Check it out! 👇 Deck https://lnkd.in/dF8JZgdi Github Repo https://lnkd.in/dSDP93gZ
Mastering Infrastructure as Code with Python: AWS CDK, Terraform CDK,
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This tutorial discusses tracing requests in Kubernetes using AWS X-Ray and Grafana. It provides a step-by-step guide on setting up AWS IAM, running X-Ray Daemon in Kubernetes, and creating a Python Flask HTTP App with X-Ray. More: https://lnkd.in/gq7FcxTE
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Good news for Python AWS Lambda enthusiasts! 🎉 Version 1.0.7 of AWS-Lambda-Env-Modeler has been released, and it includes the ability to disable the built-in cache optimization for testing purposes. This is crucial for developers who run their tests in parallel in the IDE and supply different environment variables for each invocation. 🚀 For those who are new to this, AWS-Lambda-Env-Modeler is a powerful library that ensures your Lambda function's configuration is always valid. It's designed to make your life easier with Pydantic support and global data class access to your variables, including support for advanced types and value constraints. With this tool in your arsenal, you're in control of your Lambda functions like never before. Check it out and elevate your Lambda game! #AWSLambda #Serverless #CloudComputing #DevOps #TechInnovation 🌟 https://lnkd.in/d-DmnECW
GitHub - ran-isenberg/aws-lambda-env-modeler: AWS-Lambda-Env-Modeler is a Python library designed to simplify the process of managing and validating environment variables in your AWS Lambda functions.
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🚀 AWS Serverless App: Simplifying Local Development! Hey everyone! 🎉 Just wrapped up an awesome AWS Serverless project using Python, AWS SAM, Lambda, Layers and Poetry. Here’s why it makes local development a breeze: 🌟 What’s Cool About It: - Local Development Made Easy: You can develop, test, and debug your Lambda functions right on your machine with Docker and AWS SAM. No need to deploy to the cloud for every change! 🖥️ - Best Practices Built-In: The project cleanly separates your application code from infrastructure (IaC) with SAM templates, making it easy to manage and scale. - Effortless Package Management: Using Poetry for dependencies means you can add libraries to specific Lambdas or layers in seconds. 🎯 - Simple Packaging: One make command to handle everything – building, packaging, and running locally. - Quick Start: Adding new Lambdas or layers is super straightforward. Just update a config file, and you’re good to go! 🛠️ 💡 This setup is perfect if you want a powerful, serverless app without the usual headaches. Ready to dive in? 🌩️ #AWS #Serverless #Python #DeveloperTools #SAM #Poetry #CloudSimplified
GitHub - blackberryec/aws-sample-python-local-development: This project is an AWS Serverless application built using AWS SAM, Python, and Poetry for dependency management. It includes Lambda functions with shared layers and automated local packaging.
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🚀 Exciting news for Python developers! AWS Lambda now supports Python 3.13 as both a managed runtime and container base image Here's what you need to know: ✨ Key Features: • Python 3.13 was released October 7th • Lambda released support for 3.13 on November 14th • Built on Amazon Linux 2023 • Enhanced data model with static_attributes support • New typing capabilities including default values for type parameters • Improved standard library with Z85 encoding/decoding 🔧 Implementation Options: • AWS Management Console • AWS CLI, AWS SAM, AWS CDK • Container base images Read the blog post: https://lnkd.in/esTiWAsK ⚠️ Important Note: Friends don't let friends develop Python on Lambda without Powertools: https://lnkd.in/e36sH8tD #AWS #Python #Serverless #AWSLambda via Julian Wood and Jonathan T.
Homepage
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These are the services being discontinued by AWS, especially "code-commit". So, if you have your repos there, you have some work cut out for you. Transfer in a different version control service like bamboo, bit bucket or github. Also, support for Python 3.8 runtime for AWS Lambdas is ending in October. I have work cut out for me as well. All the best with migration #python #dataengineering #aws
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h3ll0 new blog post on using AWS Lambda Web adapter to run a python Flask application in Lambda. The example application generates random Richard Feynmann quotation stored in DynamoDB. Check it out: https://lnkd.in/eRDhmFG7 #aws #terraform #lambda #python
GitHub - cheeyeo/aws_lambda_web_application: Example of running python Flask web app in AWS Lambda with terraform IAC
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A set of powerful tools for Lambda (yes, the name says it all) 😅 This shows how powerful community work can be. Powertools allows you to implement best practices around tracing, logging, monitoring and setting up your serverless Lambda functions on AWS. It does a lot of the heavy lifting and also exists in other programming languages like TypeScript, Java, or .NET. https://lnkd.in/dqGrec_T #CloudNativeCitizen #AWS #AWSLambda #Python #TypeScript #Java #DotNET
GitHub - aws-powertools/powertools-lambda-python: A developer toolkit to implement Serverless best practices and increase developer velocity.
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Principal Software Architect | AWS Serverless Hero | RanTheBuilder.cloud
7mohttps://www.youtube.com/watch?v=52W3Qyg242Y