AWS Open Source Blog

Disney Streaming’s use of serverless and open source technologies has improved their ability to deliver business value safely and reliably.

The AWS Virtual Application Management Solution is an open source companion application to AppStream 2.0 designed to help administrators create AppStream 2.0 images at scale.

The Amazon Managed Service for Prometheus team released two new Kubernetes controllers for zone aware rollouts and disruptions that can be used by any highly available, quorum-base distributed application, such as Cortex, to improve the velocity of deployments in a safe way.

Learn how to use AWS services and open source tools to automate the deployment of a Python Flask application to the AWS Cloud using CodePipeline.

Learn how to access the Kubernetes API from an AWS Lambda function entirely in code, without the need to build a container image with executables. This provides a simple approach to create your Lambda functions, and also a faster execution time.

Planning a release from product strategy to product delivery is a complex process with multiple interconnected services and workflows. On top of that, creating and deploying new versions of services into production has always been a challenge for developers. DevOps teams must choose an effective deployment strategy to enable Continuous Integration and Continuous Delivery (CI/CD) […]

Our KubeCon session highlights are focused on open source project-centered content you can attend at our booth, at the AWS Container Day pre-event, as well as during the main conference sessions.

AWS partner A&E Engineering is using online machine learning models to monitor realtime data for improved manufacturing. Learn how to successfully deploy an online serverless machine learning model using open source Python River and AWS Cloud Development Kit (AWS CDK).

Learn how to integrate open source Cosign with AWS KMS and ensure supply chain security is maintained using open source Kyverno.

In this post we demonstrate how to train a Twin Neural Network based on PyTorch and Fast.ai, and deploy it with TorchServe on Amazon SageMaker inference endpoint. For demonstration purposes, we build an interactive web application for users to upload images and make inferences from the trained and deployed model, based on Streamlit, which is an open source framework for data scientists to efficiently create interactive web-based data applications in pure Python.