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    3. LLM DevOps: Deploy, Monitor, and Scale Your Own AI Models Without the Cloud

    LLM DevOps: Deploy, Monitor, and Scale Your Own AI Models Without the Cloud

    Posted By: TiranaDok
    Date: 13 Oct 2025 19:09:31
    LLM DevOps: Deploy, Monitor, and Scale Your Own AI Models Without the Cloud

    LLM DevOps: Deploy, Monitor, and Scale Your Own AI Models Without the Cloud: A Practical Guide to Running Local LLMs with Ollama, LangChain, Docker, and LangServe by Ethan Lang
    English | May 17, 2025 | ISBN: N/A | ASIN: B0F92CR826 | 241 pages | EPUB | 0.24 Mb

    Own Your AI Stack — No Vendors. No Subscriptions. Just Code.
    LLM DevOps is a hands-on technical guide to running your own large language models (LLMs) in production—without relying on OpenAI, APIs, or the cloud.
    Inside, you'll learn how to build and deploy a self-hosted AI assistant using:
    ✅ Local LLMs like LLaMA 3, TinyLlama, and Mistral
    ✅ Ollama and LangServe for fast local serving
    ✅ Docker, FastAPI, and Gradio to containerize and serve your models
    ✅ Prometheus and Grafana to monitor your AI stack in real time
    Whether you're a backend developer, DevOps engineer, indie hacker, or privacy-conscious builder, this book shows you how to go from “just testing” to shipping real AI-powered tools — all on your own machine.
    No vendor lock-in. No API limits. No cloud costs.

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