LLMs for Modern Software Delivery and DevOps
35,99 €
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LLMs for Modern Software Delivery and DevOps, Packt Publishing
Applying Large Language Models to Software Delivery and SRE
Von Gu Huangliang, Zheng Qingzheng, Niu Xiaoling, Che Xin, im heise shop in digitaler Fassung erhältlich
Produktinformationen "LLMs for Modern Software Delivery and DevOps"
If you work in DevOps, SRE, platform engineering, software delivery, operations,
testing, or security, this book shows how large language models (LLMs) can
reduce delivery friction, improve operational visibility, and support more
reliable engineering workflows. Written by enterprise digital transformation and
delivery specialists, it focuses on moving LLMs beyond isolated experiments into
practical software delivery systems.
You will build the LLM foundations needed to understand modern AI systems,
including language model evolution, Transformer architecture, GPT-style
generation, and efficient fine-tuning techniques such as LoRA and QLoRA. The
book then connects these foundations to enterprise-ready patterns such as
retrieval-augmented generation (RAG), multi-agent systems, and platform-based AI
assistance. Through operations, testing, coding, project management, and
cybersecurity scenarios, you will see how LLMs can support log analysis, ticket
handling, root cause analysis, test generation, code generation, risk
management, and security workflows.
By the end of the book, you will understand how to move from model
experimentation to practical AI-assisted delivery, evaluate where LLMs create
measurable value across DevOps, SRE, and platform engineering workflows, and
recognize the constraints, risks, and governance considerations involved.
Artikel-Details
- Anbieter:
- Packt Publishing
- Autor:
- Gu Huangliang, Zheng Qingzheng, Niu Xiaoling, Che Xin
- Artikelnummer:
- 9781807609184
- Veröffentlicht:
- 26.06.26
- Seitenanzahl:
- 450