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The AWS CDK aims to improve the experience of working with Infrastructure as Code by providing higher-level, reusable constructs that enable developers to create and manage AWS resources more efficiently and with less boilerplate code compared to traditional configuration files like AWS CloudFormation templates.
Amazon SageMaker AI is a cloud-based machine-learning platform that allows the creation, training, and deployment by developers of machine-learning (ML) models on the cloud. [1] It can be used to deploy ML models on embedded systems and edge-devices. [2] [3] The platform was launched in November 2017. [4]
Buddy (also known as Buddy.Works) is a web-based and self-hosted continuous integration and delivery software for Git developers that can be used to build, test, and deploy web sites and applications with code from GitHub, Bitbucket, and GitLab.
AWS Lambda is an event-driven, serverless Function as a Service (FaaS) provided by Amazon as a part of Amazon Web Services. It is designed to enable developers to run code without provisioning or managing servers. It executes code in response to events and automatically manages the computing resources required by that code. It was introduced on ...
Lambda Pinball" is a related anti-pattern that can occur in serverless architectures when functions (e.g., AWS Lambda, Azure Functions) excessively invoke each other in fragmented chains, leading to latency, debugging and testing challenges, and reduced observability. [4]
AWS App Runner is a fully managed container application service offered by Amazon Web Services (AWS). Launched in May 2021, it is designed to simplify the process of building, deploying, and scaling containerized applications for developers. [ 1 ]
Deployment requires a number of components to be defined: an 'application' as a logical container for the project, a 'version' which is a deployable build of the application executable, a 'configuration template' that contains configuration information for both the Beanstalk environment and for the product. [4]
It supports multiple programming languages, including C, C++, PHP, Ruby, Perl, Python, JavaScript with Node.js, and Go. It is written almost entirely in JavaScript, and uses Node.js on the back-end. The editor component uses Ace. Cloud9 was acquired by Amazon in July 2016 [4] and became a part of Amazon Web Services (AWS).