LLMs for Modern Software Delivery and DevOps (Paperback)
Language: English
Published by Packt Publishing Limited, Birmingham, 2026
- Softcover
- New
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
£ 47.77
Quantity: 1 available
Add to basketItem description from seller
Paperback. A practical guide to applying LLMs across the software development and delivery lifecycle, improve development, testing, operations, and project efficiency across modern software organizations.Key FeaturesApply LLMs to modern DevOps workflows across development and operations with practical enterprise examplesBuild architectural fluency in GPT, fine-tuning, RAG, and agent-based systemsStrengthen software delivery pipelines with AI-informed automation and operational intelligenceBook DescriptionIf 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.What you will learnApply RAG and multi-agent patterns to enterprise software delivery and platform engineering scenariosUse LLMs to support operations tasks such as log analysis, ticket handling, incident response, and root cause analysisExplore how LLMs can improve software testing, static analysis, vulnerability repair, and test automation workflowsApply code LLMs to development workflows, including code generation, completion, review support, and project-level coding tasksUse LLMs to support project management, delivery coordination, risk analysis, and cybersecurity workflowsEvaluate the practical value, risks, and constraints of introducing LLMs into DevOps, SRE, and platform engineering environmentsWho this book is forThis book is for software engineers, DevOps and SRE professionals, QA and security teams, and technical managers who want to apply and operationalize LLMs across the software delivery lifecycle. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9781807609191
- Title
- LLMs for Modern Software Delivery and DevOps (Paperback)
- Author
- Gu Huangliang
- Publisher
- Packt Publishing Limited, Birmingham
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1807609197
- ISBN 13
- 9781807609191
A practical guide to applying LLMs across the software development and delivery lifecycle, improve development, testing, operations, and project efficiency across modern software organizations.
LLMs for Modern Software Delivery and DevOps shows how to practically integrate LLMs into modern engineering workflows.
Dubois Jou, Senior Platform & DevOps Engineer, MRC Global
LLMs for Modern Software Delivery and DevOps stands out by going beyond AI demos and showing how large language models can be applied across real software delivery workflows.
Gregory Goldshteyn, Video Engineering & Quality Assurance, Fox Networks Group
Key Features
- Apply LLMs to modern DevOps workflows across development and operations with practical enterprise examples
- Build architectural fluency in GPT, fine-tuning, RAG, and agent-based systems
- Strengthen software delivery pipelines with AI-informed automation and operational intelligence
Book Description
If you work in DevOps, SRE, platform engineering, software delivery, operations, testing, or security, this book shows how LLMs can streamline delivery and improve engineering workflows. Written by enterprise digital transformation and delivery specialists, it focuses on moving LLMs from experimentation to practical software delivery.
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, you’ll know how to apply LLMs effectively across DevOps, SRE, and platform engineering while managing risks and governance.
What you will learn
- Apply RAG and multi-agent patterns to enterprise software delivery and platform engineering scenarios
- Use LLMs to support operations tasks such as log analysis, ticket handling, incident response, and root cause analysis
- Explore how LLMs can improve software testing, static analysis, vulnerability repair, and test automation workflows
- Use LLMs to support project management, delivery coordination, risk analysis, and cybersecurity workflows
- Evaluate the value, risks, and constraints of LLMs in DevOps, SRE, and platform engineering
Who this book is for
This book is for software engineers, DevOps and SRE professionals, QA and security teams, and technical managers who want to apply and operationalize LLMs across the software delivery lifecycle.
Table of Contents
- Understanding the Foundations of Large Language Models
- Understanding the Transformer Architecture Behind Large Language Models
- Tracing the Path from Bigram Models to GPT and ChatGPT
- Applying Efficient Fine-Tuning Techniques to LLMs
- Building Enterprise AI Applications with RAG and Multi-Agent Systems
- Building a Modern Software Delivery Foundation
- Applying LLMs in Intelligent Operations and Maintenance
- Applying LLMs in Software Testing
- Applying Code LLMs in Software Development
- Applying LLMs in Project Management
- Applying LLMs in Cybersecurity
"Synopsis" may belong to another edition of this title.
About the Author
Gu Huangliang is a senior DevOps and enterprise digital transformation specialist with extensive experience in engineering productivity and intelligent operations systems. He works at a licensed financial institution and is recognized as a Tencent Cloud Most Valuable Professional (TVP) and Alibaba Cloud Most Valuable Professional (MVP). He serves on multiple national-level expert committees related to digital transformation, fintech, and cloud standards, and is the author of the best-selling DevOps Authoritative Guide. He is also a core contributor to the DevOps Capability Maturity Model and Enterprise IT Operations Development White Paper, and a frequent speaker at major technology conferences.
Zheng Qingzheng is a senior researcher at the FinTech Research Center with a PhD in Computer Science from Durham University. Formerly an engineer at Huawei, he specializes in financial big data risk control and intelligent systems, with published research and patented innovations in applied AI technologies.
Niu Xiaoling is Chair of the DevOps Standards Working Group and Editor of DevOps international standards. She has contributed to over 20 national and international cloud and DevOps standards, including the DevOps Capability Maturity Model, and has led maturity assessments for more than 50 enterprise projects.
Che Xin is Deputy Director at the China Academy of Information and Communications Technology (CAICT), specializing in enterprise digital transformation, cloud computing standards, and intelligent operations. He leads research, standards development, and evaluation initiatives related to digital infrastructure and transformation maturity models.
"About the title" may belong to another edition of this title.
Grand Eagle Retail
Bensenville, IL, U.S.A.
AbeBooks seller since October 12, 2005
Shipping rates within U.S.A.
| Item | 6 to 14 business days | 6 to 16 business days |
|---|---|---|
| First item | £ 0.00 | £ 0.00 |
Payment methods
Seller's business information
APOLLO ONLINE CORP.
605 Geddes Street
Wilmington, DE U.S.A. 19805
Terms of sale
We guarantee the condition of every book as it¿s described on the Abebooks web sites. If you¿ve changed
your mind about a book that you¿ve ordered, please use the Ask bookseller a question link to contact us
and we¿ll respond within 2 business days.
Books ship from California and Michigan.
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to Grand Eagle Retail, Bensenville, Illinois, U.S.A., without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.
Shipping terms
Orders usually ship within 2 business days. All books within the US ship free of charge. Delivery is 4-14 business days anywhere in the United States.
Books ship from California and Michigan.
If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.