9781807609191 - llms for modern software delivery and devops: applying large language models to software delivery and sre di gu huangliang; zheng qingzheng; niu xiaoling; che xin (10 risultati)
- Brossura
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 49,68
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
- Brossura
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 92,37
EUR 3,50 spedizioneSpedito in U.S.A.Quantità: 4 disponibili
Condizione: New.
Editore: Packt Publishing Limited, 2026
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 53,26
EUR 10,98 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
- Brossura
- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 55,59
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. 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.
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 91,41
EUR 7,63 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: New. Print on Demand.
- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 58,00
EUR 43,41 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 90,80
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 4 disponibili
Condizione: New. PRINT ON DEMAND.
- Brossura
- Print on Demand
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 81,86
EUR 32,45 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
- Brossura
- Print on Demand
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,75
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. LLMs for Modern Software Delivery and DevOps | Applying Large Language Models to Software Delivery and SRE | Gu Huangliang (u. a.) | Taschenbuch | Englisch | 2026 | Packt Publishing | EAN 9781807609191 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[…dot]de | Anbieter: preigu Print on Demand.
- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 71,00
EUR 64,10 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
