AWS Open Source Blog

Category: Technical How-to

Deno logo

What is Deno?

Deno 1.0, a runtime for JavaScript and TypeScript, rolled out in May with appealing features for JavaScript developers, including: Secure defaults: Explicit permission must be granted for your Deno applications in order to access disk, network, and runtime environments. Native TypeScript support: No tsconfig needed—Deno acts like a native TypeScript runtime. Under the hood Deno […]

Continuous delivery with server-side Swift on Amazon Linux 2

In January, I published an article describing how to use AWS tools to build, test, and release server-side Swift code on two platforms: Amazon Elastic Container Service (Amazon ECS) and Elastic Compute Cloud (Amazon EC2) running Ubuntu Linux. Recently has released official support for the Amazon Linux 2 operating system. This article is a […]

Monitor AWS services used by Kubernetes with Prometheus and PromCat

AWS offers Amazon CloudWatch to provide observability of the operational health for your AWS resources and applications through logs, metrics, and events. CloudWatch is a great way to monitor and visualize AWS resources metrics and logs. Recently I’ve found that some customers are adopting Prometheus as their monitoring standard because it offers the ability to […]

Automating your ECS container architecture deployments with ECS ComposeX

This is a guest post by a third-party author. John Preston is an experienced solution architect who enjoys development and who has spent time working on and open sourcing the automation of AWS architecture deployments, including the ECS ComposeX open source project. In this post, John talks about the motivation for this project, and how […]

Deploy, track, and roll back RDS database code changes using open source tools Liquibase and Jenkins

Customers across industries and verticals deal with relational database code deployment. In most cases, developers rely on database administrators (DBAs) to perform the database code deployment. This works well when the number of databases and the amount of database code changes are low. As organizations scale, however, they deal with different database engines—including Oracle, SQL […]

Adopting machine learning in your microservices with DJL (Deep Java Library) and Spring Boot

Many AWS customers—startups and large enterprises—are on a path to adopt machine learning and deep learning in their existing applications. The reasons for machine learning adoption are dictated by the pace of innovation in the industry, with business use cases ranging from customer service (including object detection from images and video streams, sentiment analysis) to […]

Managing secrets deployment in Kubernetes using Sealed Secrets

Kubernetes is an open source system for automating the deployment, scaling, and management of containerized applications. It is especially suitable for building and deploying cloud-native applications on a massive scale, leveraging the elasticity of the cloud. Amazon Elastic Kubernetes Service (Amazon EKS) is a managed service for running a production-grade, highly available Kubernetes cluster on […]

JPL NASA Open Source Mars Rover

What’s new with the open source Robot Operating System in 2020

Not many people can say their job revolves around robotics and community, but Katherine Scott is one of them. Katherine Scott—or Kat, as her teammates call her—is a Developer Advocate at Open Robotics, an organization that develops open source software for use with robotics. Part of her job is helping developers stay focused on development […]

Managing hybrid storage in an increasingly agile time with OpenShift Container Storage on AWS

This article is a guest post from Mayur Shetty, a Senior Solution Architect within Red Hat’s Global Partners and Alliances organization. According to the 2019 CNCF Survey, 84% of customers surveyed have containers workloads in production, which is a dramatic increase from 18% in 2018. This increase is driven by a customer need to be […]

AutoGluon how-to tutorial

Machine learning with AutoGluon, an open source AutoML library

If you work in data science, you might think that the hardest thing about machine learning is not knowing when you’ll be done. You start with a problem, a dataset, and an idea about how to solve it, but you never know whether your approach is going to work until later, after you’ve wasted time. […]