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The AWS Cloud Development Kit (AWS CDK) is an open-source [1] software development framework developed by Amazon Web Services (AWS) for defining and provisioning cloud infrastructure resources using familiar programming languages. [2] The AWS CDK aims to improve the experience of working with Infrastructure as Code by providing higher-level ...
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.
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]
Language support was limited to Python using native Python modules, as well as a limited selection of Python modules in C that were chosen by Google. Like later serverless platforms, App Engine also used pay-for-what-you-use billing. [9] AWS Lambda, introduced by Amazon in 2014, [10] popularized the
AWS Elastic Beanstalk is an orchestration service offered by Amazon Web Services for deploying applications which orchestrates various AWS services, including EC2, S3, Simple Notification Service (SNS), CloudWatch, autoscaling, and Elastic Load Balancers. [2]
By defining resources in a declarative format, Deployment Manager allows users to create, update, and delete resources as part of a blue–green deployment process. Like AWS CodeDeploy, it minimizes downtime by shifting traffic from the old to the new environment after performing necessary tests. [9] Setting up the environment: [10]
Tuberville understands that part. Alabama, Ohio State, Georgia and so on ran everything. The Indianas of the world hoped to win six games and reach the Fosters Farm Bowl.
AWS launches AWS Lambda, its Functions as a Service (FaaS) tool. With Lambda, AWS customers can define and upload functions with specific triggers and execution code. AWS takes care of executing the function on the trigger occurring, and the AWS customer does not have to provision or manage the compute resources.