Rodrigo Prado’s Post

Building serverless apps on AWS using Python is a really nice choice in many cases. With the AWS SDK for python you can work with any resources and build what you need. You can also use the Cloud Development Kit (CDK) for Python which offers some higher level abstractions. Two of the most popular frameworks/tools to work with Python on AWS are AWS Chalice and AWS Powertools for Lambda. If you’re migrating from something like Flask, using Chalice might be exactly what you need. This article from Arnel Jan Sarmiento shows how you can use AWS Chalice along with the CDK to build serverless apps with Python https://lnkd.in/eewZX39T

Introduce yourself to #Serverless by building your first #Python AWS #Lambda function in 5 steps! The "Serverless Framework" has built a set of tools to make it easier for Cloud enthusiasts to build functions in the #Cloud, and the following guide introduces you to this tool. A valuable article and demo by Wilfred Chetat Yeku: - Quick Start Project Generation - Configuring The Serverless.yml File - Sample Python Lambda Function - Running The Python Application With Serverless Framework Locally - Deploying Python Lambda Function using Serverless Framework https://lnkd.in/gUbDdxS4

Streamlining Python Application Deployment on AWS Lambda with the Serverless Framework: A Step-by-Step Guide #AWS #businesscompassllc #cloud

🚀 Excited to dive into AWS S3 with Python using Boto3! 🐍 Easily manage buckets, upload/download files, and more with just a few lines of code. Let's unleash the power of cloud storage together! https://lnkd.in/ePfGKz9b Every week i share no-fluff frameworks on making personal progress P.S. Repost this ♻ Spread the Knowledge! It matters.❤️ Follow VINOTH M #AWS #Python #Boto3

The content explores serverless computing integrated with AI using Python in the context of Firebase Cloud Functions. It compares serverless cloud functions with microservices in terms of resource management, scaling, cost, and development. It then provides a step-by-step guide on setting up and deploying cloud functions with Python using Firebase, integrating Flask, writing Python functions, and testing the cloud function. The content concludes by highlighting the benefits and capabilities of Firebase Cloud Functions with Python for various applications. It also alludes to the possibility of implementing a more intelligent AI LLM Model.

Apache Airflow 2.9.0 has been released, featuring numerous fixes, enhancements, and new functionalities. Known for its versatility, Airflow offers a broad spectrum of operators for smooth task execution across multiple platforms such as Google Cloud Platform, Amazon Web Services, and Microsoft Azure. Its flexibility enables the creation of sophisticated workflows using Python code, making it suitable for both traditional and cutting-edge technologies. With Airflow, orchestrating complex processes becomes simple and scalable. #airflow2.9.0 #apacheairflow 👇 Release notes: https://lnkd.in/gXz5VsFh Python : https://lnkd.in/gs2uNmQF Airflow doc: https://lnkd.in/g-66cKSF

🚀 Unleash the power of Azure Queue Storage! Our latest blog post on Cloud Rise Dev dives deep into how you can enhance your app's performance with Azure's robust messaging solution. Learn about the limitations, best practices, and get a hands-on demo with Python and Terraform scripts. Perfect for developers looking to scale operations without compromising on efficiency. Don’t miss out on this essential guide to mastering Azure Queue Storage! 🌐 #Azure #CloudComputing #Python #Terraform #MessagingSolution #TechTips

Attention all Python enthusiasts! Our latest blog post "Soaring Through the Clouds: Master the Art of Python Application Deployment" is now live. This comprehensive guide provides a detailed roadmap on how you can deploy your Python applications on various cloud platforms like AWS, Azure, and Google Cloud. But that's not all! The post also delves into the marvel of containerization with Docker, explaining how you can package your entire app along with all its dependencies into a single portable unit. Whether you're a budding developer or an experienced programmer, this guide serves as your stepping stone towards achieving scalability, portability, and seamless cross-platform service integration. Dive into the world of cloud deployments and containerization, understand the perks of each platform, and learn how to leverage these for enhancing your application's performance and scalability. Remember, deploying your Python application is merely the start. The real magic unfolds when your users interact with your masterpiece. Tap to learn more: https://lnkd.in/eftigSUY  #PythonDeployment #CloudComputing #Docker

AWS Lambda SnapStart is now generally available for Python and .NET functions, significantly reducing startup latency by caching and reusing initialization code, offering faster performance with minimal code changes via Channy Yun on Amazon Web Services (AWS) https://lnkd.in/ePcwN9nw #AWS #awscloud #Lambda #SnapStart #Serverless

Streamlining AWS Lambda Cost Analysis with Python and Jenkins: An Automated Approach https://lnkd.in/dpR3fMbn Amazon Web Services (AWS) #aws #awslambda #businesscompassllc