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Cover image for 📰 AWS Compiled #003 - VPC Endpoints
Alejandra Quetzalli 🐾 for AWS

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📰 AWS Compiled #003 - VPC Endpoints

# AWS Compiled is a bi-weekly curation of 
# AWS developer content and news. 
# This covers the topics that matter most to developers from 
# across AWS, the developer communities we support, 
# and the projects we contribute to.

$ git checkout -b AWS_Compiled_003
$ git commit -a -m 'VPC Endpoints'
$ git checkout main
$ git merge AWS_Compiled_003
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Table Of Contents


Amazon VPC Endpoints are virtual devices that enable you to connect your Amazon VPC to supported AWS services, services hosted by other AWS customers, and services hosted by AWS partners without traffic leaving the Amazon network. Some of the supported AWS services include Amazon Aurora, AWS CodeBuild, and AWS Elastic Beanstalk. Amazon VPC endpoints provide two clear benefits,

  1. Reduce costs related to data transfer by reducing how much of your traffic travels across the public Internet in order to reach AWS services.
  2. Improve security posture by using IAM policies to provide even more control over how data flows between your VPC and AWS services. You can read a great post written by Nigel Harris here.


3rd Annual AWS Hackathon for Good
Join us as we hack to support developers on the front-lines. This year's Hackathon for Good focuses on improving the workflows of developers who are maintaining mission-critical COBOL applications by building extensions and plugins for popular IDEs. The submission period closes on August 31st.
Register here

Enhanced CI/CD with AWS CDK, Online Tech Talk
Learn how to use the AWS Cloud Development Kit and AWS CodePipeline to create a construct library that makes it even easier to set up continuous delivery pipelines for your CDK applications.
Register here


Announcing the newest AWS Heroes – August 2020
Meet the 21 newest AWS Heroes, including the first Heroes from Greece and Portugal.
Meet the new AWS Heroes

Building Lambda functions inside Docker containers with CDK
AWS Cloud Development Kit can now manage building Lambda functionswithin sandboxed Docker containers - that resemble the Lambda execution environment - during CDK synth and deploy! By AWS Community Builder Ari Palo
Read the full post

Migrating Image Memorability service to AWS Lambda using a shared Elastic File System volume
Learn about a new feature of AWS Elastic File System (EFS): support for AWS Lambda service and the ability for EFS to be mounted both on EC2 virtual machines, Fargate containers, and AWS Lambda. By AWS Serverless Hero Luca Bianchi
Read the full post

How to become a Redis maintainer one contribution at a time
The story of how Madelyn Olson went from student to AWS engineer to open source contributor offers insights into how the best developers balance corporate and community hats.
Read the full post

Cost tracking for OpenShift on AWS
Explore an open source project that can be used to integrate AWS cost-management services and features directly into Red Hat OpenShift.
Read the full post

Improving the serverless developer experience with sls-dev-tools
Learn how to get started with a new open source serverless tool that delivers serverless metrics directly to your terminal.
Read the full post

Building resilient services at Prime Video with chaos engineering
Find out about failure injection using the AWS Systems Manager, and we introduce an open source library, AWSSSMChaosRunner.
Read the full post


From monolith to serverless Java (60 minutes)
Last week Rob Sutter, Senior Developer Advocate for AWS Lambda, took to the AWS Twitch livestream to demonstrate how you can transform a monolithic application into a serverless Java application.
Watch here

Category deep dive: Serverless
Interested in learning more about serverless? This serverless deep-dive introduces fundamental concepts, reference architectures, best practices, and hands-on activities to help you get started building serverless applications.
Launch guide

Train a Deep Learning model
Get hands on with AWS Deep Learning Containers on Amazon EC2. In this tutorial, you will train a TensorFlow machine learning model on an Amazon EC2 instance using the AWS Deep Learning Containers.
Launch guide

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