AWS open source news and updates No.50

• gitlab-runners-on-aws

  2 15 0.0 Python

  Host and AutoScale Gitlab CI/CD runners on AWS

gitlab-runners-on-aws if you missed this over the last few weeks, then catch it now. Jimmy Dahlqvist's open source project that makes it easy to setup and run GitLab CI/CD runners on AWS in an auto scaled way using AWS Lambda. GitLab webhooks are used to start Lambda functions to perform the Job in a Docker container.

• aws-lambda-java-libs

  300 505 6.7 C++

  Official mirror for interface definitions and helper classes for Java code running on the AWS Lambda platform.

  

Testing AWS Lambda functions written in Java Jerome Van Der Linden announces the release of aws-lambda-java-tests, an opinionated library that simplifies writing tests when using Java on AWS Lambda. This post is going to go down very well writing unit and integration tests for Lambda can be a challenge, something this project and post aim to help you with.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• cloud9-sso

  1 5 0.0 JavaScript

  Add Cloud9 environments to AWS SSO

cloud9-sso this new project from Ian Mckay looks very interesting. Still in very early beta stage, it provides a simple way to add AWS Cloud9 environments to AWS SSO. Ian has put together a quick walkthrough for you and I am going to try this one out myself over the coming week or so.

• ec2-spot-converter

  2 177 0.0 Python

  A tool to convert AWS EC2 instances back and forth between On-Demand and Spot billing models.

ec2-spot-converter this open source project from Jorel Jean-Charles that is going to be very popular I think. This tool converts existing AWS EC2 instances back and forth between On-Demand and 'persistent' Spot billing models while preserving instance attributes (Launch configuration, Tags..), network attributes (existing Private IP addresses, Elastic IP), storage (Volumes), Elastic Inference accelerators and Elastic GPUs. Detailed and easy to follow documentation with examples, check this project out and as always, Jorel welcomes any PRs you might want to make so feel free to join the project.

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