Lambda cookbook with Python | Serverless Office Hours скачать в хорошем качестве

Lambda cookbook with Python | Serverless Office Hours

Start your AWS serverless service with two clicks, bootstrapping an AWS Lambda Python project the easy way. AWS Community Builder Ran Isenberg joins Julian Wood to show the AWS Lambda Handler Cookbook for Python. Learn how to quickly reduce cognitive load with a skeleton Python Serverless service template that implements best practices for Lambda, serverless CI/CD, and AWS CDK in one template project. See best practices for observability, input validation, dynamic configuration, CDK, feature flags, and more! We are also available to answer any of your serverless questions. Guests: Ran Isenberg   / isenbergran  ,   / ranisenberg   Host: Julian Wood   / julian_wood   🆕📢 What’s new in AWS Serverless? https://s12d.com/whats-new ✍️ Serverless AWS Compute blog posts: https://s12d.com/serverless-blogs Stream links: Ran's blog: https://www.ranthebuilder.cloud/ AWS Lambda Handler Cookbook (Python): https://github.com/ran-isenberg/aws-l... AWS Lambda Powertools for Python: https://awslabs.github.io/aws-lambda-... #serverless #aws ✅ SUBSCRIBE TO THIS CHANNEL: https://s12d.com/youtube 🌥️🌥️ SERVERLESS OFFICE HOURS 🌥️🌥️ 📃 Playlist: https://s12d.com/soh-youtube A weekly live office hours to learn about building serverless applications. We cover a separate topic each week including what's new with serverless, deep dives into feature launches and best practices, and explore real world use-cases. Join us live to ask us anything you want about serverless technologies and applications. 🌟🌟https://ServerlessLand.com 🌟🌟 Your resource for learning about serverless technology. Learn to use and build apps that scale automatically on low-cost, fully-managed serverless architecture. Chapters: 00:00 Intro 03:10 Last Week in AWS Serverless 05:55 Best practices with Lambda and Python 16:03 Using the Lambda cookbook for Python 20:40 Python CDK constructs 22:38 Comprehensive CI/CD with GitHub Actions 26:38 Unit testing 26:56 Infrastructure testing 34:55 Integration testing 41:57 End-to-end testing 44:40 Logging 46:20 Tracing 48:08 Metrics 49:52 Data validation