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2021: AWS CDK v2 is released and consolidates the AWS Construct Library into a single package called aws-cdk-lib, streamlining usage and updates, ensuring stable APIs, and offering developer productivity improvements such as CDK Watch, a refreshed API Reference, and a new assertions library for automated unit testing in all CDK-supported languages.
AWS Lambda layer is a ZIP archive containing libraries, frameworks or custom code that can be added to AWS Lambda functions. [9] As of December 2024, AWS Lambda layers have significant limitations: [10] [11] No semantic versioning support. Incompatibility with major security scanning tools. Contribution to Lambda's 250MB size limit. Impeded ...
A collection of tools that API providers use to define APIs, for instance using the OpenAPI or RAML specifications, generate API documentation, govern API usage through access and usage policies for APIs, test and debug the execution of API, including security testing and automated generation of tests and test suites, deploy APIs into production, staging, and quality assurance environments ...
Serverless computing is a cloud service category in which the customer can use different cloud capabilities types without the customer having to provision, deploy and manage either hardware or software resources, other than providing customer application code or providing customer data. Serverless computing represents a form of virtualized ...
Reflecting on that initial phone call, Alano said Rastello "had to go through the process of getting tested for approval, so we were doing parallel testing at the same time.
The Department of Labor is proposing to phase out a controversial Depression-era program that lets some employers pay disabled workers less than the federal minimum wage.
A man is facing multiple charges after Mississippi police say they found him asleep in a car at a highway intersection with marijuana, a gun and a bottle of alcohol.
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]