Guide kubernetes practical (50 Ergebnisse)

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Taschenbuch. Zustand: Neu. Neuware - In the fast-paced and ever-evolving world of technology, businesses face the challenge of delivering software faster, more reliably, and with greater efficiency. Mastering DevOps with Kubernetes and Cloud: A Practical Guide offers a deep dive into the transformative practices and tools that redefine the way software development and IT operations work together. This book is your gateway to understanding and mastering the dynamic world of DevOps while integrating the robust capabilities of Kubernetes and cloud technologies. DevOps, a fusion of 'development' and 'operations,' has emerged as a critical methodology in modern IT. By fostering collaboration, automating processes, and focusing on shared goals, it shortens development cycles, improves deployment speed, and enhances the quality of software systems. This guide provides a thorough understanding of DevOps and illustrates how Kubernetes and cloud platforms elevate these practices to new heights. This book isn't just about theory it's about empowering you with actionable insights and practical applications that can be immediately implemented in your projects. It takes you on a journey from understanding the basics of DevOps to mastering advanced techniques for deploying, managing, and scaling applications in a cloud-native environment. Whether you're new to DevOps or looking to enhance your skills, this book will equip you to navigate today's competitive IT landscape. With clear explanations, practical guidance, and real-world examples, Mastering DevOps with Kubernetes and Cloud is an essential resource for anyone striving to build resilient, efficient, and scalable software solutions. Embark on your journey to DevOps mastery and achieve greater success in your career and projects. Order your copy today and start building the future of IT.…

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Taschenbuch. Zustand: Neu. Neuware - From 'it works on my machine' to your first Kubernetes application This hands-on guide is for developers meeting containers for the first time. You take one small Web - API - Redis service from a single docker run to a working Kubernetes application with Ingress - and every step runs on your own computer. No cloud account is required. The Docker chapters run on your local Docker Engine, and the Kubernetes chapters run in a local cluster created by kind (Kubernetes in Docker), which starts each Kubernetes node as a Docker container. Every lab was run with Docker 29.2, kind v0.33.0, Kubernetes v1.37.0, Helm 3.19, and Traefik, and the book shows the real output. Inside are 21 chapters, 56 figures, 66 practice questions, and 3 worked cases. Free companion files - application source, Dockerfiles, Compose files, and Kubernetes manifests - accompany the book. What you will learn- Images, containers, and Dockerfiles, explained with figures and labs- Networks, volumes, and Docker Compose to finish a Web ? API ? Redis service- Multi-stage, non-root images with BuildKit, buildx, and SBOMs- Registries, tags versus digests, and an optional three-node Swarm- Pods, Deployments, Services, ConfigMaps, persistent volumes, and Ingress for your first Kubernetes application>Who this book is forDevelopers, operators, and QA engineers starting with containers and Kubernetes, and computing students. This is Volume 1 of the Kubernetes Learning Series; the journey continues in Kubernetes: Understanding & Practice.…

Taschenbuch. Zustand: Neu. Neuware - Modern software development demands more than writing great code-it requires building applications that are portable, scalable, resilient, and ready for production. OpenShift combines the power of Kubernetes with enterprise-grade developer tools, enabling teams to build, deploy, and manage cloud-native applications with confidence.Mastering OpenShift Development is a practical, hands-on guide designed to help developers quickly become productive on the OpenShift platform. Whether you're new to containers or already familiar with Kubernetes, this book provides a structured learning path that takes you from foundational concepts to deploying real-world, production-ready applications.Through step-by-step examples and practical projects, you'll learn how to package applications into containers, deploy workloads, expose services, manage configurations, automate deployments, monitor application health, and scale applications to meet changing business demands.Inside this book, you'll learn how to: Understand the architecture and core components of OpenShiftBuild and package applications using containersDeploy applications with Kubernetes-native workflowsManage projects, namespaces, images, and registriesConfigure networking, services, routes, and ingressWork with ConfigMaps, Secrets, and persistent storageScale applications manually and automaticallyMonitor application performance and troubleshoot deploymentsBuild practical CI/CD workflows for continuous deliveryApply cloud-native best practices for reliable software deliveryDesigned for software developers, cloud engineers, DevOps practitioners, and technical professionals, this book emphasizes practical implementation over theory, helping you build the skills needed to develop and deploy modern applications in enterprise OpenShift environments.Whether you're preparing for production workloads, modernizing existing applications, or beginning your cloud-native journey, Mastering OpenShift Development provides the knowledge and hands-on experience to build with confidence.…

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Taschenbuch. Zustand: Neu. Neuware - OpenTelemetry for Production is a practical guide to designing, deploying, and operating observability systems that can actually support production workloads.Rather than treating observability as simply collecting logs, metrics, and traces, this book shows you how to build a complete, reliable telemetry platform with OpenTelemetry, the OpenTelemetry Collector, Prometheus, Grafana, Tempo, Loki, Docker, and Kubernetes. You'll learn how to instrument applications, design meaningful traces and metrics, correlate logs across services, build resilient Collector pipelines, control telemetry volume and costs, and troubleshoot failures when the observability system itself comes under pressure.You'll also learn how to approach real production challenges including high cardinality metrics, sampling, backpressure, dropped telemetry, security and privacy, TLS, authentication, capacity planning, upgrades, and incident response. Practical production checkpoints, exercises, design decisions, and incident scenarios help turn concepts into operational skills.What makes this book different is its production-first approach. It doesn't stop at showing you how to make telemetry appear on a dashboard. It teaches you how to design observability around the questions engineers and operators actually need answered, build reliable telemetry pipelines, protect sensitive data, manage costs, and use telemetry to investigate real incidents.If you want to move beyond basic OpenTelemetry tutorials and learn how to build an observability platform that is useful, reliable, secure, maintainable, and ready for production, this book gives you a practical path from initial instrumentation to a complete production architecture.…

Taschenbuch. Zustand: Neu. Neuware - Production Observability Engineering is a practical, production-focused guide for engineers who need more than dashboards and basic monitoring. It shows how to design observability systems that help teams detect problems faster, understand failures clearly, protect reliability, and control telemetry costs in real production environments.Using the evolving Northmoon Commerce cloud-native application, the book walks through OpenTelemetry, Kubernetes, distributed tracing, SLOs, incident response, telemetry pipelines, scaling, cardinality, sampling, security, and cost control. Readers learn how metrics, logs, traces, and operational context work together to answer real engineering questions-from diagnosing latency and 5xx errors to handling overloaded Collectors, missing trace context, Kubernetes failures, and rapidly increasing observability costs.Unlike books that focus mainly on observability theory or teach a single tool in isolation, this book connects the entire production workflow. It emphasizes architecture, troubleshooting, reliability decisions, failure scenarios, and practical implementation using technologies such as OpenTelemetry, Prometheus, Loki, Tempo, Grafana, Python, FastAPI, and Kubernetes.Whether you are an SRE, DevOps engineer, platform engineer, cloud engineer, backend developer, or observability practitioner, Production Observability Engineering gives you a clear, practical framework for building observability that is useful, scalable, reliable, and cost-aware.If you want to move beyond collecting telemetry and start using observability as a true production engineering capability, this book is built for you. …

Taschenbuch. Zustand: Neu. Neuware - Build Secure, Scalable, and Zero-Trust Networks with Tailscale Modern infrastructure is no longer confined to a single data center or cloud provider. Today's DevOps teams manage Kubernetes clusters, multi-cloud environments, remote workforces, CI/CD pipelines, and distributed systems that demand a new approach to networking and security. Tailscale for Cloud and DevOps Engineers is a practical, hands-on guide to designing and operating secure, identity-based networks using Tailscale and WireGuard. Whether you're managing cloud infrastructure, securing Kubernetes workloads, or connecting hybrid environments, this book provides the knowledge and real-world strategies needed to simplify connectivity while strengthening security. Inside, you'll learn how to: - Understand Zero-Trust networking and identity-based security principles- Deploy and manage Tailscale across cloud, on-premises, and hybrid environments- Build secure remote access solutions without traditional VPN complexity- Connect Kubernetes clusters and services securely across environments- Implement fine-grained access control using ACLs, SSO, MFA, and modern identity systems- Connect AWS, Azure, Google Cloud, and on-prem infrastructure seamlessly- Leverage advanced features such as Exit Nodes, Subnet Routers, Tailscale Funnel, and Tailscale Serve- Automate networking with APIs, Terraform, Infrastructure as Code, and CI/CD workflows- Monitor, troubleshoot, secure, and scale production-grade Tailscale deployments- Design resilient enterprise architectures for modern cloud-native systems>Perfect for: - DevOps Engineers- Cloud Engineers- Platform Engineers- Site Reliability Engineers (SREs)- Kubernetes Administrators- Security Engineers- Infrastructure Architects- Homelab Enthusiasts- IT Professionals and System AdministratorsBy the end of this book, you'll have the skills to confidently deploy, secure, automate, and scale Tailscale-powered networks while embracing the Zero-Trust principles that define modern infrastructure. If you're ready to replace networking complexity with secure, identity-driven connectivity, this book will serve as your practical roadmap to mastering Tailscale in cloud and DevOps environments. …

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Taschenbuch. Zustand: Neu. Neuware - Go beyond the buzzword and truly master the platform that defines modern infrastructure. Kubernetes Essentials is a definitive, hands-on guide that demystifies container orchestration, transforming complexity into clarity and confidence.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - Kubernetes can feel overwhelming when every tutorial seems to assume you already understand clusters, YAML, networking, deployments, and dozens of unfamiliar commands. This book takes a different approach.Kubernetes in Small Steps is a practical, beginner-friendly guide designed to help you understand Kubernetes by building skills one step at a time. Instead of burying you in advanced architecture or enterprise-level complexity, it focuses on the core workflow you actually need to start working confidently with containerized applications. The book uses a continuous hands-on project so each new concept connects naturally to what you learned before. Kubernetes in Small StepsYou will begin by understanding how clusters, nodes, Pods, and containers fit together, then prepare a local Kubernetes environment and start working with kubectl. From there, you will learn how to write and apply YAML manifests, run applications with Pods, manage them with Deployments, expose them with Services, and handle application configuration using ConfigMaps and Secrets. Kubernetes in Small StepsAs your skills grow, you will also learn how to work with persistent storage, scale applications, perform rolling updates, configure readiness and liveness probes, and troubleshoot common workload problems using commands such as get, describe, logs, and exec. Kubernetes in Small StepsInside this book, you will learn how to: - Understand Kubernetes clusters, nodes, Pods, and containers- Set up a local Kubernetes workspace with Minikube and kubectl- Write clear Kubernetes YAML manifests- Run and inspect containerized applications- Manage workloads with Deployments- Expose applications using Services- Use ConfigMaps and Secrets for configuration- Add persistent storage with PersistentVolumeClaims- Scale applications and perform rolling updates- Configure readiness and liveness probes- Diagnose failed workloads step by stepThis book is written for complete beginners, developers moving into DevOps, self-taught learners, and anyone who wants a practical introduction to modern container orchestration without unnecessary complexity. You do not need advanced knowledge of cloud computing, networking, or distributed systems to get started. Kubernetes in Small StepsIf you want to move beyond simply hearing about Kubernetes and actually understand how to run, manage, expose, update, and troubleshoot applications with it, Kubernetes in Small Steps gives you a clear path from your first cluster to a confident working foundation. …