Site reliability engineering - 9 series de libros (58 resultados)

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Condición: As New. Unread book in perfect condition.

Taschenbuch. Condición: Neu. Neuware.

Taschenbuch. Condición: Neu. Neuware - Stop Managing Servers by Hand. Start Automating Everything.Modern Ansible 2.20 is the definitive beginner-to-practitioner guide for infrastructure automation with Ansible Core 2.20 and Python 3.11. Whether you manage five servers or five thousand, this primer gives you the systematic understanding to automate confidently - not just copy commands you found on Stack Overflow.Unlike other Ansible resources that assume too much, this primer starts from absolute first principles and builds steadily through every layer of the stack: YAML, inventory, variables, facts, playbooks, roles, collections, Jinja2 templates, testing with Molecule, custom Python modules, and cloud provisioning.What You Will Learn- Build a complete Ansible environment with Python 3.11 virtual environments, ansible-lint, and JetBrains IDE integration in under an hour- Master YAML - the language of Ansible - including every gotcha that trips up beginners- Write idempotent playbooks from scratch, then understand why they work- Design scalable inventory structures using static files, dynamic AWS/GCP/Azure plugins, and group hierarchies- Navigate the 19-level variable precedence system with complete confidence- Build production-quality roles with defaults, templates, handlers, and role dependencies- Test roles automatically with Molecule across multiple platforms in Docker containers- Write custom Python 3.11 modules with full check mode and diff support- Integrate Ansible into GitHub Actions and GitLab CI pipelines for fully automated deployments- Apply CIS Benchmark-aligned security hardening through Ansible rolesWhy This Primer Is DifferentEvery concept is explained why before how. You will learn the reasoning behind variable precedence, error handling strategies, and role design - not just the syntax. Every code example is complete and runnable. JetBrains IDE integration is a first-class concern. Testing with Molecule is introduced early and woven throughout.Who This Book Is ForSoftware engineers, systems administrators, and platform engineers who are new to Ansible or who have used it casually and want a systematic, production-ready understanding. Basic Linux command-line familiarity is required; Python knowledge helps but is not required until the custom modules chapter.…

Taschenbuch. Condición: Neu. Neuware - Docker has changed the way modern organizations build, deploy, and operate applications. But learning to run a container is only the beginning. Modern Docker takes you from your first Docker container to the practical engineering challenges of running containerized applications in on-premises data centers, private clouds, public clouds, and hybrid environments. Designed for developers, system administrators, Site Reliability Engineers, DevOps engineers, platform engineers, and infrastructure professionals, this book emphasizes both hands-on Docker skills and the operational thinking required to run containers reliably. You will learn how to: - Install and configure Docker on Windows, Linux, and macOS- Build production-quality container images with Dockerfiles- Manage images, containers, networks, and persistent storage- Build multi-container applications with Docker Compose- Configure health checks, restart policies, logging, and resource limits- Monitor container CPU, memory, network, and storage consumption- Apply practical Docker security and image-security techniques- Work with private and public container registries- Build container images as part of CI/CD pipelines- Automate Docker environments with Python, Terraform, and Ansible- Understand how Docker-built applications move into Kubernetes- Design container environments for on-premises, public-cloud, private-cloud, and hybrid-cloud infrastructure- Troubleshoot containers using an SRE-oriented methodology>Along the way, you will learn an essential lesson of modern infrastructure engineering: Running a container is easy. Running containers reliably is an engineering discipline. Whether you are beginning your container journey or adding Docker to an existing SRE, DevOps, platform-engineering, or cloud-infrastructure skill set, Modern Docker provides a practical foundation for building and operating containerized applications in the real world.…

Taschenbuch. Condición: Neu. Neuware - Storage capacity planning has quietly become one of the most consequential disciplines in enterprise IT - and one of the least understood outside a small circle of practitioners who learn it the hard way: through outages, budget overruns, and 2 a.m. escalations. Managing Storage Capacity Across Hybrid IT distills over forty years of enterprise infrastructure experience into a practical, chapter-by-chapter playbook for planning, forecasting, and defending storage capacity across on-premises data centers, private cloud, AWS, Microsoft Azure, Google Cloud, and everything in between. This is not a vendor manual. It is a working reference for the infrastructure engineer, storage architect, or IT leader who has to answer hard questions with real numbers: How much headroom do we actually have When will we run out What will it cost And how do we explain any of that to Finance Across thirty chapters organized into nine parts, the book covers: - Foundational concepts - usable capacity, overcommit ratios, RAID overhead, and the true meaning of headroom- Workload-aware performance capacity planning, including IOPS, latency, and throughput- Platform-specific guidance for traditional SAN and NAS, VMware and private cloud, AWS, Azure, and Google Cloud- Business alignment: working with Finance, chargeback and showback, executive reporting, and KPI selection- Resilience, backup, cyber resilience, and disaster recovery sizing- Cost optimization, operational rhythm, and building a capacity management team- Sustaining executive sponsorship and measuring practice maturity over time>Whether you are building a capacity management practice from scratch or refining one that already exists, this book offers a structured, vendor-neutral approach to a discipline that touches every workload an organization runs. …

Taschenbuch. Condición: Neu. Neuware.

Taschenbuch. Condición: Neu. Neuware - Modern software is no longer built as a single application running on a single server. Today's enterprise systems are composed of dozens-or even thousands-of services connected through APIs, event streams, message brokers, and cloud platforms. Understanding how these systems communicate is now an essential skill for software developers, infrastructure engineers, architects, Site Reliability Engineers (SREs), DevOps professionals, and IT leaders. Event-Driven Systems provides a practical, architecture-first introduction to the technologies and design principles behind modern distributed applications. Rather than focusing on a specific programming language or cloud vendor, this book explains the enduring concepts that apply across today's software ecosystem. Inside you'll learn how to: - Understand Event-Driven Architecture (EDA) and when to use it- Design clean, maintainable, and versioned APIs- Build loosely coupled systems using events and messaging- Choose between synchronous and asynchronous communication- Apply proven Enterprise Integration Patterns- Understand Kafka, RabbitMQ, cloud messaging, and event brokers conceptually- Design resilient systems using retries, circuit breakers, timeouts, and bulkheads- Implement observability with logs, metrics, tracing, SLOs, and error budgets- Secure APIs and distributed services using modern authentication and authorization approaches- Avoid common architectural anti-patterns that lead to distributed monoliths>Written for experienced IT professionals entering modern software architecture, this book assumes familiarity with enterprise computing while requiring no prior experience with event-driven systems or microservices. Whether you're a software engineer, platform engineer, systems administrator, infrastructure engineer, database professional, cloud architect, or technical manager, this guide will help you understand not just how modern systems work-but why they are designed the way they are. Technology changes constantly.Good architecture lasts.…

Paperback. Condición: new. Paperback. Stop Managing Servers by Hand. Start Automating Everything.Modern Ansible 2.20 is the definitive beginner-to-practitioner guide for infrastructure automation with Ansible Core 2.20 and Python 3.11. Whether you manage five servers or five thousand, this primer gives you the systematic understanding to automate confidently - not just copy commands you found on Stack Overflow.Unlike other Ansible resources that assume too much, this primer starts from absolute first principles and builds steadily through every layer of the stack: YAML, inventory, variables, facts, playbooks, roles, collections, Jinja2 templates, testing with Molecule, custom Python modules, and cloud provisioning.What You Will LearnBuild a complete Ansible environment with Python 3.11 virtual environments, ansible-lint, and JetBrains IDE integration in under an hourMaster YAML - the language of Ansible - including every gotcha that trips up beginnersWrite idempotent playbooks from scratch, then understand why they workDesign scalable inventory structures using static files, dynamic AWS/GCP/Azure plugins, and group hierarchiesNavigate the 19-level variable precedence system with complete confidenceBuild production-quality roles with defaults, templates, handlers, and role dependenciesTest roles automatically with Molecule across multiple platforms in Docker containersWrite custom Python 3.11 modules with full check mode and diff supportIntegrate Ansible into GitHub Actions and GitLab CI pipelines for fully automated deploymentsApply CIS Benchmark-aligned security hardening through Ansible rolesWhy This Primer Is DifferentEvery concept is explained why before how. You will learn the reasoning behind variable precedence, error handling strategies, and role design - not just the syntax. Every code example is complete and runnable. JetBrains IDE integration is a first-class concern. Testing with Molecule is introduced early and woven throughout.Who This Book Is ForSoftware engineers, systems administrators, and platform engineers who are new to Ansible or who have used it casually and want a systematic, production-ready understanding. Basic Linux command-line familiarity is required; Python knowledge helps but is not required until the custom modules chapter. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. Modern infrastructure is no longer configured manually-it is defined, versioned, and deployed as code. Modern Terraform + HCL is a practical, end-to-end guide to mastering Infrastructure as Code using Terraform in real-world environments. Designed for engineers who want more than basic tutorials, this book focuses on writing production-ready configurations, structuring scalable projects, and integrating Terraform into professional development workflows. You will learn how to move beyond simple examples and build infrastructure that is repeatable, auditable, and maintainable across teams and environments. This book places special emphasis on using a JetBrains IDE to improve productivity and code quality, enabling advanced capabilities such as refactoring, validation, and structured navigation of complex Terraform projects. Inside, you will learn how to: Write clean, expressive Terraform code using HCLDesign reusable modules with clear interfaces and versioningManage Terraform state safely across teams and environmentsDeploy real infrastructure through guided, hands-on labsImplement CI/CD pipelines for automated infrastructure deliveryApply testing, security, and compliance best practicesScale Terraform usage across multi-region and enterprise environmentsThe book includes complete labs covering secure web infrastructure, high-availability deployments, and database provisioning, along with CI/CD integration and testing workflows used in modern DevOps teams. Whether you are new to Terraform or refining an existing implementation, this guide provides the structure, discipline, and practical insight needed to operate Infrastructure as Code at a professional level. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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

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

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

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

Paperback. Condición: new. Paperback. Docker has changed the way modern organizations build, deploy, and operate applications. But learning to run a container is only the beginning. Modern Docker takes you from your first Docker container to the practical engineering challenges of running containerized applications in on-premises data centers, private clouds, public clouds, and hybrid environments. Designed for developers, system administrators, Site Reliability Engineers, DevOps engineers, platform engineers, and infrastructure professionals, this book emphasizes both hands-on Docker skills and the operational thinking required to run containers reliably. You will learn how to: Install and configure Docker on Windows, Linux, and macOSBuild production-quality container images with DockerfilesManage images, containers, networks, and persistent storageBuild multi-container applications with Docker ComposeConfigure health checks, restart policies, logging, and resource limitsMonitor container CPU, memory, network, and storage consumptionApply practical Docker security and image-security techniquesWork with private and public container registriesBuild container images as part of CI/CD pipelinesAutomate Docker environments with Python, Terraform, and AnsibleUnderstand how Docker-built applications move into KubernetesDesign container environments for on-premises, public-cloud, private-cloud, and hybrid-cloud infrastructureTroubleshoot containers using an SRE-oriented methodologyThe book is deliberately hands-on. Instead of simply presenting commands, it guides you through progressively more sophisticated exercises-from a simple container to a multi-service application with networking, persistent storage, observability, security, automation, and failure testing. Along the way, you will learn an essential lesson of modern infrastructure engineering: Running a container is easy. Running containers reliably is an engineering discipline. Whether you are beginning your container journey or adding Docker to an existing SRE, DevOps, platform-engineering, or cloud-infrastructure skill set, Modern Docker provides a practical foundation for building and operating containerized applications in the real world. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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

Paperback. Condición: new. Paperback. Modern systems don't run out of capacity-they fail because no one understands where the limits actually are. Enterprise capacity management has never been more important-or more misunderstood. Despite the promise of infinite cloud scalability, organizations continue to struggle with performance bottlenecks, runaway costs, and unpredictable failures. In Enterprise Capacity Management: A Practical Primer for Hybrid and Cloud Systems, John Bailey provides a clear, practical framework for understanding how capacity actually works across modern infrastructure. Covering physical systems, virtualization, cloud platforms, containers, and serverless architectures, this book bridges the gap between traditional capacity planning and today's distributed environments. Rather than overwhelming the reader with theory, this book focuses on actionable insight: Why "just scale" is a dangerous mythHow performance, cost, and risk are fundamentally linkedWhere capacity constraints really exist in cloud and Kubernetes environmentsWhich metrics matter-and which ones misleadHow to forecast demand without overengineeringThis book is designed for engineers and leaders who need to make better decisions, not build academic models. It provides the mental frameworks required to operate systems intentionally rather than reactively. Whether you are an SRE, infrastructure engineer, architect, or technology leader, this primer will give you the foundation to understand-and control-capacity in modern systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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

Condición: New. Print on Demand.

Condición: New. Print on Demand.

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

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

Paperback. Condición: new. Paperback. Storage capacity planning has quietly become one of the most consequential disciplines in enterprise IT - and one of the least understood outside a small circle of practitioners who learn it the hard way: through outages, budget overruns, and 2 a.m. escalations. Managing Storage Capacity Across Hybrid IT distills over forty years of enterprise infrastructure experience into a practical, chapter-by-chapter playbook for planning, forecasting, and defending storage capacity across on-premises data centers, private cloud, AWS, Microsoft Azure, Google Cloud, and everything in between. This is not a vendor manual. It is a working reference for the infrastructure engineer, storage architect, or IT leader who has to answer hard questions with real numbers: How much headroom do we actually have? When will we run out? What will it cost? And how do we explain any of that to Finance? Across thirty chapters organized into nine parts, the book covers: Foundational concepts - usable capacity, overcommit ratios, RAID overhead, and the true meaning of headroomWorkload-aware performance capacity planning, including IOPS, latency, and throughputPlatform-specific guidance for traditional SAN and NAS, VMware and private cloud, AWS, Azure, and Google CloudBusiness alignment: working with Finance, chargeback and showback, executive reporting, and KPI selectionResilience, backup, cyber resilience, and disaster recovery sizingCost optimization, operational rhythm, and building a capacity management teamSustaining executive sponsorship and measuring practice maturity over timeThe book closes with five practical appendices - storage capacity formulas, a sample executive dashboard, a sample monthly capacity review, a KPI reference, and reference architectures - plus eight real-world case studies drawn from logistics, retail, financial services, healthcare, media, manufacturing, and insurance, each showing the framework applied under pressure. Whether you are building a capacity management practice from scratch or refining one that already exists, this book offers a structured, vendor-neutral approach to a discipline that touches every workload an organization runs. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Paperback. Condición: new. Paperback. In today's hybrid, multi-cloud world, capacity planning is no longer a static spreadsheet exercise-it's a dynamic, data-driven discipline that demands automation, intelligence, and scale. Capacity Engineering with Python and AI is a practical, hands-on guide for infrastructure engineers, SREs, and cloud architects who want to build modern capacity management systems that go beyond traditional monitoring. This book shows you how to design and implement end-to-end capacity engineering platforms using Python, statistical forecasting, and AI-powered reasoning. You'll learn how to collect and normalize telemetry across on-prem and cloud environments, build accurate forecasting models, detect anomalies before they become outages, and transform raw data into actionable insights. Going further, the book introduces AI-augmented analysis using large language models to explain trends, prioritize risks, and recommend safe, auditable remediation actions-without sacrificing control or reliability. Through real-world examples spanning AWS, Azure, Google Cloud, Kubernetes, and on-prem systems, you will build a complete pipeline: from metrics collection to automated, human-approved infrastructure changes using Terraform and Ansible. Inside, you'll learn how to: Design a scalable capacity engineering architecture across hybrid environmentsBuild resilient data collection and normalization pipelines in PythonApply statistical and machine learning techniques for capacity forecastingDetect anomalies and reduce alert fatigue with intelligent systemsUse AI as a reasoning layer to generate insights and recommendationsImplement safe, closed-loop remediation workflows with human oversightIntegrate capacity engineering into CI/CD, FinOps, and governance frameworksWhether you're managing a single cluster or a global multi-cloud platform, this book equips you with the tools and patterns to turn capacity planning into a proactive, intelligent system. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. Print on Demand.