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Headless CMS is a content management system (CMS) without a pre-built front-end presentation layer or templating system; instead, it provides a content repository and an API for managing the content. While this allows for greater flexibility and customizability, it can also present challenges or drawbacks for teams and organizations. [11]
A CMS typically has two major components: a content management application (CMA), as the front-end user interface that allows a user, even with limited expertise, to add, modify, and remove content from a website without the intervention of a webmaster; and a content delivery application (CDA), that compiles the content and updates the website.
In computing and telecommunications, the payload is the part of transmitted data that is the actual intended message. Headers and metadata are sent only to enable payload delivery [1] [2] and are considered overhead. In the context of a computer virus or worm, the payload is the portion of the malware which performs malicious action.
Headless commerce is an e-commerce architecture where the front-end (head) is decoupled from the back-end commerce functionality and can thus be updated or edited without interfering with the back-end, similar to a headless content management system (CMS). [1] The term was coined by Dirk Hoerig, co-founder of Commercetools, in 2013. [2]
From Wikipedia, the free encyclopedia. Redirect page
dotCMS is an open source content management system (CMS) written in Java for managing content and content driven sites and applications. [4] [5] Architecture.
Magnolia CMS is a Java-based content management system [23] that uses a JCR repository to store, retrieve and search data. In this respect Magnolia is similar to Adobe Experience Manager, Hippo CMS and Jahia which also use JCR. Magnolia uses Apache Jackrabbit, the JCR reference implementation by default.
The OpenSAF System Model is the key enabler API, allowing OpenSAF to process and validate requests, and update the state of objects in the AMF model, allowing directors to schedule workloads and service groups across worker/payload nodes.
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