dunavant clinton (30 Ergebnisse)

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New. Print on Demand.

Zustand: New. Print on Demand.

Zustand: New. Print on Demand.

Paperback. Zustand: new. Paperback. CI/CD for Modern Software Teams: Accelerate Releases, Strengthen Reliability, and Automate Every Stage of Your WorkflowSoftware teams today face a constant challenge: delivery expectations keep rising while systems grow more complex. Missed deadlines, fragile releases, and manual deployment steps slow progress and erode confidence. If your team feels the pressure of delivering faster without breaking things, you're not alone - and you don't have to operate this way anymore.This book presents a practical, modern approach to CI/CD that removes friction at every stage of development. Instead of abstract theories, it offers real patterns used by high-performing engineering teams to streamline workflows, reduce failure rates, and improve release cadence. You'll see how automation, standardization, and strong tooling reshape the development lifecycle into a reliable, predictable system you can trust.Readers gain a complete, hands-on understanding of what effective CI/CD looks like in real environments. You'll build workflows that scale, strengthen reliability with automated testing, introduce safe deployment strategies, and adopt DevSecOps practices that protect your software without slowing the team down. Whether you work with microservices, monorepos, containers, or cloud-native platforms, the book shows how modern CI/CD adapts to your stack and your constraints.You'll learn how to: Reduce manual effort and shorten delivery cycles through automated builds, testing, and deployments.Design pipelines that withstand growth, complexity, and team expansion.Apply blue/green, rolling updates, and canary-style releases to achieve near-zero downtime.Integrate security scanning, policy enforcement, and secrets management directly into each stage of the workflow.Use metrics, alerts, and pipeline health dashboards to detect issues before they impact customers.Create governance and compliance systems that keep pipelines safe, auditable, and enterprise-ready.Every chapter answers a pressing question modern software teams face: How do we ship faster without increasing risk? How do we scale pipelines across many services and environments? How do we ensure our workflows stay resilient as the system evolves?If you want delivery practices that move as quickly as your business does, this book gives you the practical steps, patterns, and strategies to make it real. CI/CD excellence isn't reserved for large tech companies - it's achievable for any team willing to modernize its workflows. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: New. Print on Demand.

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Zustand: new. Paperback. Automation, DevOps, and Scripting: Build Reliable Pipelines, Eliminate Manual Work, and Ship Faster with CodeModern software delivery moves too fast for manual processes. Endless handoffs, inconsistent environments, and fragile scripts slow down even the best teams-costing time, money, and trust. Automation, DevOps, and Scripting gives you the roadmap to eliminate those bottlenecks and replace them with reliable, code-driven pipelines that scale effortlessly.This book translates years of real-world DevOps experience into practical, actionable systems you can apply right away. You'll learn how to design automation that's scalable, secure, and self-healing; implement Continuous Integration and Continuous Delivery (CI/CD) the right way; and use scripting to orchestrate complex workflows across environments. Every concept is reinforced with tested examples and production-grade patterns drawn from real organizations that deliver software faster and more safely than ever before.Inside, you'll discover how to: Build scalable CI/CD pipelines that handle build, test, and deployment without human intervention.Automate infrastructure provisioning using code, reducing configuration drift and human error.Apply DevSecOps principles to integrate security scanning and compliance directly into your pipeline.Manage secrets, credentials, and environment variables securely across teams and platforms.Optimize costs through automation-driven resource scheduling and efficient scaling practices.Troubleshoot and recover from automation failures with structured diagnostic techniques.By the end, you'll have the confidence and skill set to design resilient automation that adapts to any scale-whether you're optimizing startup workflows or transforming enterprise infrastructure. Each chapter builds your technical intuition and provides reusable blueprints for sustainable DevOps success.If you're ready to stop patching pipelines and start engineering reliable automation, this book is your next step. Automation, DevOps, and Scripting: Build Reliable Pipelines, Eliminate Manual Work, and Ship Faster with Code gives you everything you need to modernize your delivery process and lead the next generation of engineering excellence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Zustand: new. Paperback. Build a DeepSeek Model from Scratch addresses a hard truth many AI engineers face today: most resources explain what large language models are, but very few show how to actually build one that scales, stays stable, and performs competitively under real-world constraints. If you've tried to move beyond toy models-only to hit walls around memory limits, training instability, slow attention, or runaway costs-this book is written for you.This book delivers a complete, production-minded blueprint for designing and training DeepSeek-class large language models from the ground up. It walks through the full lifecycle of modern LLM engineering: defining an efficient decoder-only architecture, integrating Mixture of Experts for scale, enabling long-context reasoning with efficient attention, and deploying models that can be served reliably and cost-effectively. Every design choice is explained from an engineering perspective, grounded in practices that work at billion-parameter scale.You'll learn how to move from architectural intent to operational reality-without hand-waving, fragile shortcuts, or purely academic abstractions.By the end of this book, you'll be able to: Design a DeepSeek-style LLM architecture optimized for throughput, memory, and costImplement and scale Mixture of Experts layers without load collapse or routing instabilityTrain long-context models using efficient attention and KV cache strategiesBuild streaming data pipelines that scale cleanly and remain reproducibleStabilize billion-parameter training with the right optimizers, precision, and recovery workflowsEvaluate reasoning, language, and code performance without benchmark overfittingDeploy and serve large models using quantization and modern inference patternsWritten for AI engineers, ML researchers, and systems builders, this book emphasizes practical execution over theory and replaces guesswork with tested engineering patterns. It assumes you want to build, not just experiment-and that reliability, performance, and scalability matter as much as raw capability. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Zustand: new. Paperback. Agentic AI Systems and Tools: Develop Reliable, Cost-Efficient AI Agents That Think, Act, and Automate Real-World WorkTraditional automation is collapsing under the weight of modern complexity. Teams are overwhelmed by repetitive tasks, brittle workflows, rising operational costs, and the constant pressure to deliver faster. The question is no longer whether automation is required - it is whether your systems are smart enough to keep up. Agentic AI offers a path forward, but only if it is implemented with rigor, structure, and reliability.This book presents a practical, engineering-focused guide to building AI agents that reason, plan, use tools, and make consistent decisions across real-world environments. Instead of vague theory or experimental concepts, you get concrete patterns, proven architectures, and production-ready techniques that show how to create agents that actually perform. The focus is always on results: stable behavior, predictable cost, and actionable intelligence.You will learn how to choose the right large language models, structure agent reasoning, build effective planning loops, integrate APIs and databases, manage memory, coordinate multi-agent systems, and deploy everything with observability, testing, and strong guardrails. You gain the practical insight required to design agents that work safely with sensitive data, operate across complex infrastructures, and reduce human effort without introducing operational risk.Readers will acquire the ability to: - Build agents that can think through tasks instead of guessing.- Create secure, resilient tool integrations for real workloads.- Implement memory systems, evaluation pipelines, and monitoring.- Deploy agents using modern cloud, container, and CI/CD practices.- Design multi-agent collaboration that improves throughput and accuracy.- Control cost while improving performance and reliability.Every chapter focuses on how real engineering teams apply agentic patterns to automate analysis, orchestrate services, handle complex decisions, and support high-stakes operations. Whether you work in software, data, operations, or architecture, you gain a playbook for building systems that scale with confidence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Zustand: new. Paperback. AI Cybersecurity for Threat Intelligence: Automate Threat Hunting, Enrich IOCs, and Cut Detection Time with Machine Learning and LLMsYour SOC is drowning in alerts, threat reports, and fragmented signals while attackers move faster every day. Manual triage can't keep up, false positives burn analyst hours, and critical indicators get buried in noise. If your team is still piecing together threats by hand, you're already behind.AI Cybersecurity for Threat Intelligence gives you a practical, production-focused path to modern defense. This book shows you how to build AI-assisted pipelines that collect, normalize, and enrich security data; extract high-value intelligence from unstructured reports; and drive faster, smarter detection across SIEM and SOAR workflows. You'll learn how to apply machine learning for anomaly detection, use LLMs for IOC extraction and threat report classification, and operationalize automation with governance, metrics, and feedback loops that improve over time.By reading this book, you'll gain the ability to: Automate threat hunting workflows that scale with your environmentEnrich IOCs with context that improves analyst decisionsReduce alert fatigue and prioritize real risk fasterDeploy ML and LLM pipelines that integrate into existing security stacksImprove MTTD and MTTR with measurable, repeatable processesBuild auditable, human-centered AI operations your team can trustWant to stop chasing alerts and start running an intelligence-driven security program? Get your copy today and build a threat intelligence engine that helps your team detect earlier, respond faster, and defend with confidence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. Automation, DevOps, and Scripting: Build Reliable Pipelines, Eliminate Manual Work, and Ship Faster with CodeModern software delivery moves too fast for manual processes. Endless handoffs, inconsistent environments, and fragile scripts slow down even the best teams-costing time, money, and trust. Automation, DevOps, and Scripting gives you the roadmap to eliminate those bottlenecks and replace them with reliable, code-driven pipelines that scale effortlessly.This book translates years of real-world DevOps experience into practical, actionable systems you can apply right away. You'll learn how to design automation that's scalable, secure, and self-healing; implement Continuous Integration and Continuous Delivery (CI/CD) the right way; and use scripting to orchestrate complex workflows across environments. Every concept is reinforced with tested examples and production-grade patterns drawn from real organizations that deliver software faster and more safely than ever before.Inside, you'll discover how to: Build scalable CI/CD pipelines that handle build, test, and deployment without human intervention.Automate infrastructure provisioning using code, reducing configuration drift and human error.Apply DevSecOps principles to integrate security scanning and compliance directly into your pipeline.Manage secrets, credentials, and environment variables securely across teams and platforms.Optimize costs through automation-driven resource scheduling and efficient scaling practices.Troubleshoot and recover from automation failures with structured diagnostic techniques.By the end, you'll have the confidence and skill set to design resilient automation that adapts to any scale-whether you're optimizing startup workflows or transforming enterprise infrastructure. Each chapter builds your technical intuition and provides reusable blueprints for sustainable DevOps success.If you're ready to stop patching pipelines and start engineering reliable automation, this book is your next step. Automation, DevOps, and Scripting: Build Reliable Pipelines, Eliminate Manual Work, and Ship Faster with Code gives you everything you need to modernize your delivery process and lead the next generation of engineering excellence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. Build a DeepSeek Model from Scratch addresses a hard truth many AI engineers face today: most resources explain what large language models are, but very few show how to actually build one that scales, stays stable, and performs competitively under real-world constraints. If you've tried to move beyond toy models-only to hit walls around memory limits, training instability, slow attention, or runaway costs-this book is written for you.This book delivers a complete, production-minded blueprint for designing and training DeepSeek-class large language models from the ground up. It walks through the full lifecycle of modern LLM engineering: defining an efficient decoder-only architecture, integrating Mixture of Experts for scale, enabling long-context reasoning with efficient attention, and deploying models that can be served reliably and cost-effectively. Every design choice is explained from an engineering perspective, grounded in practices that work at billion-parameter scale.You'll learn how to move from architectural intent to operational reality-without hand-waving, fragile shortcuts, or purely academic abstractions.By the end of this book, you'll be able to: Design a DeepSeek-style LLM architecture optimized for throughput, memory, and costImplement and scale Mixture of Experts layers without load collapse or routing instabilityTrain long-context models using efficient attention and KV cache strategiesBuild streaming data pipelines that scale cleanly and remain reproducibleStabilize billion-parameter training with the right optimizers, precision, and recovery workflowsEvaluate reasoning, language, and code performance without benchmark overfittingDeploy and serve large models using quantization and modern inference patternsWritten for AI engineers, ML researchers, and systems builders, this book emphasizes practical execution over theory and replaces guesswork with tested engineering patterns. It assumes you want to build, not just experiment-and that reliability, performance, and scalability matter as much as raw capability. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. Agentic AI Systems and Tools: Develop Reliable, Cost-Efficient AI Agents That Think, Act, and Automate Real-World WorkTraditional automation is collapsing under the weight of modern complexity. Teams are overwhelmed by repetitive tasks, brittle workflows, rising operational costs, and the constant pressure to deliver faster. The question is no longer whether automation is required - it is whether your systems are smart enough to keep up. Agentic AI offers a path forward, but only if it is implemented with rigor, structure, and reliability.This book presents a practical, engineering-focused guide to building AI agents that reason, plan, use tools, and make consistent decisions across real-world environments. Instead of vague theory or experimental concepts, you get concrete patterns, proven architectures, and production-ready techniques that show how to create agents that actually perform. The focus is always on results: stable behavior, predictable cost, and actionable intelligence.You will learn how to choose the right large language models, structure agent reasoning, build effective planning loops, integrate APIs and databases, manage memory, coordinate multi-agent systems, and deploy everything with observability, testing, and strong guardrails. You gain the practical insight required to design agents that work safely with sensitive data, operate across complex infrastructures, and reduce human effort without introducing operational risk.Readers will acquire the ability to: - Build agents that can think through tasks instead of guessing.- Create secure, resilient tool integrations for real workloads.- Implement memory systems, evaluation pipelines, and monitoring.- Deploy agents using modern cloud, container, and CI/CD practices.- Design multi-agent collaboration that improves throughput and accuracy.- Control cost while improving performance and reliability.Every chapter focuses on how real engineering teams apply agentic patterns to automate analysis, orchestrate services, handle complex decisions, and support high-stakes operations. Whether you work in software, data, operations, or architecture, you gain a playbook for building systems that scale with confidence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. CI/CD for Modern Software Teams: Accelerate Releases, Strengthen Reliability, and Automate Every Stage of Your WorkflowSoftware teams today face a constant challenge: delivery expectations keep rising while systems grow more complex. Missed deadlines, fragile releases, and manual deployment steps slow progress and erode confidence. If your team feels the pressure of delivering faster without breaking things, you're not alone - and you don't have to operate this way anymore.This book presents a practical, modern approach to CI/CD that removes friction at every stage of development. Instead of abstract theories, it offers real patterns used by high-performing engineering teams to streamline workflows, reduce failure rates, and improve release cadence. You'll see how automation, standardization, and strong tooling reshape the development lifecycle into a reliable, predictable system you can trust.Readers gain a complete, hands-on understanding of what effective CI/CD looks like in real environments. You'll build workflows that scale, strengthen reliability with automated testing, introduce safe deployment strategies, and adopt DevSecOps practices that protect your software without slowing the team down. Whether you work with microservices, monorepos, containers, or cloud-native platforms, the book shows how modern CI/CD adapts to your stack and your constraints.You'll learn how to: Reduce manual effort and shorten delivery cycles through automated builds, testing, and deployments.Design pipelines that withstand growth, complexity, and team expansion.Apply blue/green, rolling updates, and canary-style releases to achieve near-zero downtime.Integrate security scanning, policy enforcement, and secrets management directly into each stage of the workflow.Use metrics, alerts, and pipeline health dashboards to detect issues before they impact customers.Create governance and compliance systems that keep pipelines safe, auditable, and enterprise-ready.Every chapter answers a pressing question modern software teams face: How do we ship faster without increasing risk? How do we scale pipelines across many services and environments? How do we ensure our workflows stay resilient as the system evolves?If you want delivery practices that move as quickly as your business does, this book gives you the practical steps, patterns, and strategies to make it real. CI/CD excellence isn't reserved for large tech companies - it's achievable for any team willing to modernize its workflows. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. AI Agents for Web Developers with Google Agent ADK: Use TypeScript and Python to Build Scalable Agent Backends, Personalize UX, and Automate Real-World FlowsStruggling to turn AI features into real product outcomes, not just chatbot demos? Most web teams hit the same wall: fragile prompts, weak backend integration, and no clear path to scale.AI Agents for Web Developers with Google Agent ADK gives you a practical, production-focused blueprint for building agent-powered web systems with both TypeScript and Python. Instead of theory-heavy explanations, this book shows how to design agent backends that plug into real APIs, manage state, enforce safety, and ship reliably in modern web stacks.You'll learn how to set up ADK projects, build single and multi-agent flows, expose agents through REST and real-time channels, and connect them to frontend experiences that feel responsive and personalized. From local development to cloud deployment, each chapter helps you move from prototype to operations-ready implementation.What you'll gain: End-to-end patterns for AI agent architecture in web applicationsHands-on TypeScript and Python implementation workflowsPractical methods for personalization, memory, and state handlingReliable integration with tools, databases, and external servicesProduction practices for observability, security, rate limits, and cost controlDeployable project patterns for support automation, copilots, and workflow agentsIf you're a web developer, backend engineer, or technical lead asking, "How do we ship AI agents that are actually maintainable, scalable, and useful?", this is the playbook. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.