Development Lifecycle of a RESTful API Service
Software API Development Lifecycle
Every software company or startup has a unique software development lifecycle that they are using. It is often necessary to synchronize and align RESTful API deployment with the same processes that you use today for developing, testing, and deploying other applications.
Some services provide tools and sometimes even RESTful APIs that enable you to integrate their tools into your own development lifecycle. A common usage of the RESTful API is to write scripts or code that programmatically deploy REST API web services, or that migrate REST API services from one environment to another, as part of a larger automated process that also deploys or migrates other applications. https://goo.gl/CTwzmw #DataIntegration #ML
API Life Cycle Basics: API Management
ICYMI: The need to manage APIs is one of the older aspects of doing business with web APIs. Beginning around 2006, then maturing, and being baked into the cloud and markets by 2016. Whether it is through a management gateway that proxies existing APIs, natively as part of the gateway that is used to deploy the APIs themselves, or as a connective layer within the code, API management is all about authenticating, metering, logging, analyzing, reporting, and even billing against API consumption. This landscape has significantly shifted lately, with the bottom end of the market becoming more competitive, but luckily there are enough open source and cloud solutions available to get the job done.
Over the last decade, API management providers have collectively defined some common approaches to getting business done using web APIs. While still very technical, API management is all about the business of APIs, and managing the value generated from providing access to data, content, algorithms, and other digital resources using the web. Here are the handful of common aspects of API management, which are being baked into the cloud, and made available across a number of open source solution providers catering to the API space: https://goo.gl/sKPUyo #DataIntegration #ML
