YANG Data Model for Key Chains
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From: The IESG <firstname.lastname@example.org> To: IETF-Announce <email@example.com> Cc: The IESG <firstname.lastname@example.org>, email@example.com, firstname.lastname@example.org, email@example.com, Jeff Tantsura <firstname.lastname@example.org>, email@example.com, firstname.lastname@example.org, email@example.com Subject: Protocol Action: 'Routing Key Chain YANG Data Model' to Proposed Standard (draft-ietf-rtgwg-yang-key-chain-24.txt) The IESG has approved the following document: - 'Routing Key Chain YANG Data Model' (draft-ietf-rtgwg-yang-key-chain-24.txt) as Proposed Standard This document is the product of the Routing Area Working Group. The IESG contact persons are Alvaro Retana, Alia Atlas and Deborah Brungard. A URL of this Internet Draft is: https://datatracker.ietf.org/doc/draft-ietf-rtgwg-yang-key-chain/
Technical Summary This document describes a YANG data model for key chains. Key chains have been implemented and deployed by most of network equipment vendors. Providing a standard YANG model will facilitate automated key distribution and non-disruptive key rollover in a vendor independent way. Working Group Summary This draft has been thoroughly discussed in the WG, very good feedback had been provided by SP and vendor community. The draft adoption and progress has received full support from the WG. All comments have been addressed. The draft is ready for publication. Document Quality The draft went to many rounds of reviews by YANG-Doctors as well as implementors, which resulted in a very high quality document. There are existing implementations and multiple vendors have shown significant interest in the topic. Note that the most recent version for handling operational state in the model may mean implementations need updates. Personnel Jeff Tantsura is the Document Shepherd. Alia Atlas is the Responsible Area Director. IESG Note The most recent version is to handle the very recent change in recommendation for handling operational state in YANG models. For this model, there won't be system-learned operational state that isn't tied to configuration state, so putting the state in as part of the YANG model is the forward path.