<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Input on Tech Foundations</title><link>https://valery.tech/ai-engineering/other/production-ready/input/</link><description>Recent content in Input on Tech Foundations</description><generator>Hugo</generator><language>en-US</language><copyright>Copyright (c) 2014-2023</copyright><atom:link href="https://valery.tech/ai-engineering/other/production-ready/input/index.xml" rel="self" type="application/rss+xml"/><item><title>In Adoption</title><link>https://valery.tech/ai-engineering/other/production-ready/input/in-adoption/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://valery.tech/ai-engineering/other/production-ready/input/in-adoption/</guid><description>&lt;h2 id="recommended-hybrid-framework"&gt;Recommended hybrid framework&lt;/h2&gt;
&lt;p&gt;The most robust implementation is a &lt;strong&gt;hybrid production-readiness system&lt;/strong&gt; with five layers:&lt;/p&gt;
&lt;p&gt;First, define a &lt;strong&gt;service context profile&lt;/strong&gt;. This captures business criticality, regulatory context, data sensitivity, dependency tier, expected traffic, recovery objectives, and cost expectations. CSF profiles, Azure&amp;rsquo;s business-driven reliability framing, and GCP&amp;rsquo;s governance focus areas all support this approach.&lt;/p&gt;</description></item><item><title>In Operation</title><link>https://valery.tech/ai-engineering/other/production-ready/input/in-operation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://valery.tech/ai-engineering/other/production-ready/input/in-operation/</guid><description>&lt;p&gt;I would operationalize production readiness as an &lt;strong&gt;evidence-based risk-control system&lt;/strong&gt; attached to the service lifecycle. Each requirement should have an owner, measurable acceptance criteria, machine-verifiable evidence where possible, and an explicit exception process.&lt;/p&gt;</description></item><item><title>In Production Ready</title><link>https://valery.tech/ai-engineering/other/production-ready/input/in-production-ready/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://valery.tech/ai-engineering/other/production-ready/input/in-production-ready/</guid><description/></item><item><title>Prod</title><link>https://valery.tech/ai-engineering/other/production-ready/input/prod/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://valery.tech/ai-engineering/other/production-ready/input/prod/</guid><description>&lt;h1 id="building-our-own-model"&gt;Building our own model&lt;/h1&gt;
&lt;p&gt;We should separate the model&amp;rsquo;s &lt;strong&gt;purpose&lt;/strong&gt;, &lt;strong&gt;capabilities&lt;/strong&gt;, &lt;strong&gt;usage points&lt;/strong&gt;, and &lt;strong&gt;expected organizational outcomes&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;The main thing - they don&amp;rsquo;t include the operationalization of the model. Why do we need it? How and when we could use it? Why and how you should build the model and definition yourself?&lt;/p&gt;</description></item><item><title>Readme</title><link>https://valery.tech/ai-engineering/other/production-ready/input/readme/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://valery.tech/ai-engineering/other/production-ready/input/readme/</guid><description>&lt;h1 id="production-readiness-research-inputs"&gt;Production Readiness Research Inputs&lt;/h1&gt;
&lt;p&gt;The files in this directory are historical source material used to develop the production-readiness work. They are not normative definitions of the current model or framework.&lt;/p&gt;</description></item></channel></rss>