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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 ...
A common application is to convert software documentation stored in a generic "xdoc" format into a styled HTML document. AWS API Gateway uses Apache Velocity engine for body mapping templates - JSON is output.
API documentation can be enriched with metadata information like Java annotations. This metadata can be used by the compiler, tools, and by the run-time environment to implement custom behaviors or custom handling. [57] It is possible to generate API documentation in a data-driven manner.
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.
Major changes in OpenAPI Specification 3.1.0 include JSON schema vocabularies alignment, new top-level elements for describing webhooks that are registered and managed out of band, support for identifying API licenses using the standard SPDX identifier, allowance of descriptions alongside the use of schema references and a change to make the ...
The Web Server Gateway Interface (WSGI, pronounced whiskey [1] [2] or WIZ-ghee [3]) is a simple calling convention for web servers to forward requests to web applications or frameworks written in the Python programming language. The current version of WSGI, version 1.0.1, is specified in Python Enhancement Proposal (PEP) 3333. [4]
RESTful API Modeling Language (RAML) is a YAML-based language for describing static APIs (but not REST APIs). [2] It provides all the information necessary to describe APIs on the level 2 of the Richardson Maturity Model .
IaC grew as a response to the difficulty posed by utility computing and second-generation web frameworks. In 2006, the launch of Amazon Web Services’ Elastic Compute Cloud and the 1.0 version of Ruby on Rails just months before [2] created widespread scaling difficulties in the enterprise that were previously experienced only at large, multi-national companies. [3]