<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet href="/rss/styles.xsl" type="text/xsl"?><rss version="2.0"><channel><title>CloudYukthi</title><description>Cloud, with logic. Cloud architecture write-ups, AWS how-tos, migration case studies, and leadership &amp; project-delivery reflections. Outcomes over outputs, with a focus on what actually worked and why.</description><link>https://cloudyukthi.com/</link><language>en-us</language><item><title>When Your LLM Gets Retired: Keeping Model Choice Replaceable</title><link>https://cloudyukthi.com/posts/when-your-llm-gets-retired/</link><guid isPermaLink="true">https://cloudyukthi.com/posts/when-your-llm-gets-retired/</guid><description>Foundation model providers and cloud platforms retire models on aggressive schedules. Treating model selection as replaceable infrastructure across AWS, Azure, Google Cloud, OpenAI, and Anthropic turns an emergency fire drill into a routine config change.</description><pubDate>Wed, 04 Nov 2026 00:00:00 GMT</pubDate><category>generative-ai</category><category>ai-infrastructure</category><category>ai-model-governance</category><category>aws</category><category>azure</category><category>google-cloud</category><category>openai</category><category>anthropic</category><category>Technical</category></item></channel></rss>