Get up and running with Kubernetes 1.19 and simplify the way you build, deploy, and maintain scalable distributed systems Key FeaturesDesign and deploy large clusters on various cloud platformsExplore containerized application deployment, debugging, and recovery with the latest Kubernetes version 1.19Become well-versed with advanced Kubernetes topics such as traffic routing or Pod autoscaling and schedulingBook Description With its broad adoption across various industries, Kubernetes is helping engineers with the orchestration and automation of container deployments on a large scale, making it the leading container orchestration system and the most popular choice for running containerized applications. This Kubernetes book starts with an introduction to Kubernetes and containerization, covering the setup of your local development environment and the roles of the most important Kubernetes components. Along with covering the core concepts necessary to make the most of your infrastructure, this book will also help you get acquainted with the fundamentals of Kubernetes. As you advance, you'll learn how to manage Kubernetes clusters on cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), and develop and deploy real-world applications in Kubernetes using practical examples. Additionally, you'll get to grips with managing microservices along with best practices. By the end of this book, you'll be equipped with battle-tested knowledge of advanced Kubernetes topics, such as scheduling of Pods and managing incoming traffic to the cluster, and be ready to work with Kubernetes on cloud platforms. What you will learnManage containerized applications with KubernetesUnderstand Kubernetes architecture and the responsibilities of each componentSet up Kubernetes on Amazon Elastic Kubernetes Service, Google Kubernetes Engine, and Microsoft Azure Kubernetes ServiceDeploy cloud applications such as Prometheus and Elasticsearch using Helm chartsDiscover advanced techniques for Pod scheduling and auto-scaling the clusterUnderstand possible approaches to traffic routing in KubernetesWho this book is for This book is for software developers and DevOps engineers looking to understand how to work with Kubernetes for orchestrating containerized applications and services in the cloud. Prior experience with designing software running in operating system containers, as well as a general background in DevOps best practices, will be helpful. Basic knowledge of Kubernetes, Docker, and leading cloud service providers assist with grasping the concepts covered easily.

Design and deploy an operator for personal use and public distribution and get to grips with writing, packaging, and distributing a basic operator for a Kubernetes cluster Key Features • Develop a holistic understanding of operators and the Operator Framework • Learn to design and develop your own operators as per industry standards • Find out how to implement best practices and troubleshoot Kubernetes operators Book Description From incomplete collections of knowledge and varying design approaches to technical knowledge barriers, Kubernetes users face various challenges when developing their own operators. Knowing how to write, deploy, and pack operators makes cluster management automation much easier – and that's what this book is here to teach you. Beginning with operators and Operator Framework fundamentals, the book delves into how the different components of Operator Framework (such as the Operator SDK, Operator Lifecycle Manager, and OperatorHub.io) are used to build operators. You'll learn how to write a basic operator, interact with a Kubernetes cluster in code, and distribute that operator to users. As you advance, you'll be able to develop a sample operator in the Go programming language using Operator SDK tools before running it locally with Operator Lifecycle Manager, and also learn how to package an operator bundle for distribution. The book covers best practices as well as sample applications and case studies based on real-world operators to help you implement the concepts you've learned. By the end of this Kubernetes book, you'll be able to build and add application-specific operational logic to a Kubernetes cluster, making it easier to automate complex applications and augment the platform. What you will learn • Gain insight into the Operator Framework and the benefits of operators • Implement standard approaches for designing an operator • Develop an operator in a stepwise manner using the Operator SDK • Publish operators using distribution options such as OperatorHub.io • Deploy operators using different Operator Lifecycle Manager options • Discover how Kubernetes development standards relate to operators • Apply knowledge learned from the case studies of real-world operators Who this book is for This book is for DevOps and cloud engineers, Kubernetes engineers, SREs, developers, and cloud architects interested in automating the management of their Kubernetes clusters. It assumes a basic understanding of core Kubernetes topics or familiarity with Kubernetes and container orchestration.

The industry favorite Linux guide Linux Bible, 10th Edition is the ultimate hands-on Linux user guide, whether you're a true beginner or a more advanced user navigating recent changes. this updated tenth edition covers the latest versions of Red Hat Enterprise Linux (RHEL 8), Fedora 30, and Ubuntu 18.04 LTS. It includes information on cloud computing, with new guidance on containerization, Ansible automation, and Kubernetes and OpenShift. With a focus on RHEL 8, this new edition teaches techniques for managing storage, users, and security, while emphasizing simplified administrative techniques with Cockpit. Written by a Red Hat expert, this book provides the clear explanations and step-by-step instructions that demystify Linux and bring the new features seamlessly into your workflow. This useful guide assumes a base of little or no Linux knowledge, and takes you step by step through what you need to know to get the job done. Get Linux up and running quickly Master basic operations and tackle more advanced tasks Get up to date on the recent changes to Linux server system management Bring Linux to the cloud using Openstack and Cloudforms Simplified Linux administration through the Cockpit Web Interface Automated Linux Deployment with Ansible Learn to navigate Linux with Amazon (AWS), Google (GCE), and Microsofr Azure Cloud services Linux Bible, 10th Edition is the one resource you need, and provides the hands-on training that gets you on track in a flash.

Quickly learn how to use Ubuntu, the fastest growing Linux distribution, in a personal or enterprise environment Whether you're a newcomer to Linux or an experienced system administrator, the Ubuntu Linux Bible provides what you need to get the most out of one the world's top Linux distributions. Clear, step-by-step instructions cover everything from installing Ubuntu and creating your desktop, to writing shell scripts and setting up file sharing on your network. This up-to-date guide covers the latest Ubuntu release with long-term support (version 20.04) as well as the previous version. Throughout the book, numerous examples, figures, and review questions with answers ensure that you will fully understand each key topic. Organized into four parts, the book offers you the flexibility to master the basics in the "Getting Started with Ubuntu Linux" section, or to skip directly to more advanced tasks. "Ubuntu for Desktop Users" shows you how to setup email, surf the web, play games, and create and publish documents, spreadsheets, and presentations. "Ubuntu for System Administrators" covers user administration, system backup, device management, network configuration, and other fundamentals of Linux administration. The book's final section, "Configuring Servers on Ubuntu," teaches you to use Ubuntu to support network servers for the web, e-mail, print services, networked file sharing, DHCP (network address management), and DNS (network name/address resolution). This comprehensive, easy-to-use guide will help you: Install Ubuntu and create the perfect Linux desktop Use the wide variety of software included with Ubuntu Linux Stay up to date on recent changes and new versions of Ubuntu Create and edit graphics, and work with consumer IoT electronic devices Add printers, disks, and other devices to your system Configure core network services and administer Ubuntu systems Ubuntu Linux Bible is a must-have for anyone looking for an accessible, step-by-step tutorial on this hugely popular Linux operating system.

Discover practical insights for mastering Kubernetes problem-solving and efficient ecosystem management Key Features Learn to recognize common Kubernetes anti-patterns with the guidance of a community expert Discover actionable strategies and best practices to address anti-patterns Explore methods for fostering a culture of continuous improvement in Kubernetes Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs the popularity of Kubernetes continues to grow, it’s essential to understand and navigate the potential challenges of scalability, resource optimization, troubleshooting, and security. Kubernetes Anti-Patterns offers vital insights and strategies tailored to the current needs of practitioners and enthusiasts navigating the complexities of Kubernetes. Penned by an AWS-certified solutions architect with 16+ years of experience, this book will teach you the essential Kubernetes anti-patterns, their types, causes, and consequences. You’ll find practical solutions for each of the challenges and uncover real-world examples and case studies to enhance your Kubernetes expertise. Beyond technical details, you’ll delve into optimization, proactive assessment, and prevention strategies, ensuring your Kubernetes endeavors are marked by success and efficiency. Experienced or beginner, this book will equip you with the right knowledge to deploy and maintain a robust Kubernetes environment. By the end of this book, you’ll gain a holistic understanding of Kubernetes anti-patterns and develop the expertise to identify and address issues in various Kubernetes contexts. This knowledge will enable you to optimize your container orchestration environments and ensure the reliability, scalability, and security of your applications. What you will learn Get to grips with the nature and characteristics of Kubernetes anti-patterns Find out how to achieve stable Kubernetes deployments Extract insights from real-world use cases for informed decision-making Cultivate a proactive mindset for anticipating and preventing potential problems Optimize Kubernetes deployments for improved efficiency and performance Discover actionable strategies for continuous improvement in your Kubernetes workflow Who this book is for Kubernetes Anti-Patterns is for anyone who is actively working with or planning to work with Kubernetes in their professional roles. DevOps engineers, system administrators, software developers, IT managers, or any other professional responsible for container orchestration and deployment will find this book useful. A foundational understanding of Kubernetes concepts, terminology, and basic operations is assumed. Familiarity with key components like pods, services, deployments, and how Kubernetes manages containerized applications is required.

Build a Kubernetes-based self-serving, agile data science and machine learning ecosystem for your organization using reliable and secure open source technologies Key Features Build a complete machine learning platform on Kubernetes Improve the agility and velocity of your team by adopting the self-service capabilities of the platform Reduce time-to-market by automating data pipelines and model training and deployment Book Description MLOps is an emerging field that aims to bring repeatability, automation, and standardization of the software engineering domain to data science and machine learning engineering. By implementing MLOps with Kubernetes, data scientists, IT professionals, and data engineers can collaborate and build machine learning solutions that deliver business value for their organization. You'll begin by understanding the different components of a machine learning project. Then, you'll design and build a practical end-to-end machine learning project using open source software. As you progress, you'll understand the basics of MLOps and the value it can bring to machine learning projects. You will also gain experience in building, configuring, and using an open source, containerized machine learning platform. In later chapters, you will prepare data, build and deploy machine learning models, and automate workflow tasks using the same platform. Finally, the exercises in this book will help you get hands-on experience in Kubernetes and open source tools, such as JupyterHub, MLflow, and Airflow. By the end of this book, you'll have learned how to effectively build, train, and deploy a machine learning model using the machine learning platform you built. What you will learn Understand the different stages of a machine learning project Use open source software to build a machine learning platform on Kubernetes Implement a complete ML project using the machine learning platform presented in this book Improve on your organization's collaborative journey toward machine learning Discover how to use the platform as a data engineer, ML engineer, or data scientist Find out how to apply machine learning to solve real business problems Who this book is for This book is for data scientists, data engineers, IT platform owners, AI product owners, and data architects who want to build their own platform for ML development. Although this book starts with the basics, a solid understanding of Python and Kubernetes, along with knowledge of the basic concepts of data science and data engineering will help you grasp the topics covered in this book in a better way.

Reduce the complexity of managing applications on Kubernetes and develop an enterprise pattern for application delivery Key FeaturesLearn best practices from the core maintainer of Helm for application delivery and life cycle managementManage applications deployed in Kubernetes effectively using HelmGo beyond the basics when using Helm with key security considerations and management optionsBook Description Containerization is one of the best ways to implement DevOps, and learning how to execute it effectively is an essential part of a developer's skillset. Kubernetes is the current industry standard for container orchestration. This book will help you discover the efficiency of managing applications running on Kubernetes with Helm. Starting with a brief introduction to Helm and its impact on users working with containers and Kubernetes, you'll delve into the primitives of Helm charts and their architecture and use cases. From there, you'll understand how to write Helm charts in order to automate application deployment on Kubernetes and work your way toward more advanced strategies. These enterprise-ready patterns are focused on concepts beyond the basics so that you can use Helm optimally, looking at topics related to automation, application development, delivery, lifecycle management, and security. By the end of this book, you'll have learned how to leverage Helm to build, deploy, and manage applications on Kubernetes. What you will learnUnderstand how to deploy applications on Kubernetes with easePackage dynamic applications for deployment on KubernetesIntegrate Helm into an existing software release processDevelop an enterprise automation strategy on Kubernetes using HelmUse Helm within a Helm Kubernetes operatorLeverage Helm in a secure and stable manner that fits the enterpriseDiscover the ins and outs of automation with HelmWho this book is for This book is for Kubernetes developers or administrators who are interested in learning Helm to provide automation for app development on Kubernetes. Although no prior knowledge of Helm is required, basic knowledge of Kubernetes application development will be useful.

Develop a deep understanding of Kubernetes and the cloud native ecosystem, and pass the CKA exam with confidence with this end-to-end study guide Key FeaturesGet to grips with the core concepts of Kubernetes API primitivesDeploy, configure, manage, and troubleshoot Kubernetes clustersCement your credibility in the job market by becoming a Certified Kubernetes AdministratorBook Description Kubernetes is the most popular container orchestration tool in the industry. The Kubernetes Administrator certification will help you establish your credibility and enable you to efficiently support the business growth of individual organizations with the help of this open source platform. The book begins by introducing you to Kubernetes architecture and the core concepts of Kubernetes. You'll then get to grips with the main Kubernetes API primitives, before diving into cluster installation, configuration, and management. Moving ahead, you'll explore different approaches while maintaining the Kubernetes cluster, perform upgrades for the Kubernetes cluster, as well as backup and restore etcd. As you advance, you'll deploy and manage workloads on Kubernetes and work with storage for Kubernetes stateful workloads with the help of practical scenarios. You'll also delve into managing the security of Kubernetes applications and understand how different components in Kubernetes communicate with each other and with other applications. The concluding chapters will show you how to troubleshoot cluster- and application-level logging and monitoring, cluster components, and applications in Kubernetes. By the end of this Kubernetes book, you'll be fully prepared to pass the CKA exam and gain practical knowledge that can be applied in your day-to-day work. What you will learnUnderstand the fundamentals of Kubernetes and its toolsGet hands-on experience in installing and configuring Kubernetes clustersManage Kubernetes clusters and deployed workloads with easeGet up and running with Kubernetes networking and storageManage the security of applications deployed on KubernetesFind out how to monitor, log, and troubleshoot Kubernetes clusters and apps among othersWho this book is for This book is for application developers, DevOps engineers, data engineers, and cloud architects who want to pass the CKA exam and certify their Kubernetes Administrator skills in the market. Basic knowledge of Kubernetes is recommended to get the most out of this book.

A complete journey to automating infrastructure provisioning and cloud-native application deployment Key Features • Leverage Crossplane and Kubernetes for a unified automation experience of infrastructure and apps • Build a modern self-service infrastructure platform abstracting recipes and in-house policies • Clear guidance on trade-offs to manage Kubernetes configuration and ecosystem tools Book Description In the last few years, countless organizations have taken advantage of the disruptive application deployment operating model provided by Kubernetes. With Crossplane, the same benefits are coming to the world of infrastructure provisioning and management. The limitations of Infrastructure as Code with respect to drift management, role-based access control, team collaboration, and weak contract make people move towards a control-plane-based infrastructure automation, but setting it up requires a lot of know-how and effort. This book will cover a detailed journey to building a control-plane-based infrastructure automation platform with Kubernetes and Crossplane. The cloud-native landscape has an overwhelming list of configuration management tools that can make it difficult to analyze and choose. This book will guide cloud-native practitioners to select the right tools for Kubernetes configuration management that best suit the use case. You'll learn about configuration management with hands-on modules built on popular configuration management tools such as Helm, Kustomize, Argo, and KubeVela. The hands-on examples will be patterns that one can directly use in their work. By the end of this book, you'll be well-versed with building a modern infrastructure automation platform to unify application and infrastructure automation. What you will learn • Understand the context of Kubernetes-based infrastructure automation • Get to grips with Crossplane concepts with the help of practical examples • Extend Crossplane to build a modern infrastructure automation platform • Use the right configuration management tools in the Kubernetes environment • Explore patterns to unify application and infrastructure automation • Discover top engineering practices for infrastructure platform as a product Who this book is for This book is for cloud architects, platform engineers, infrastructure or application operators, and Kubernetes enthusiasts who want to simplify infrastructure and application automation. A basic understanding of Kubernetes and its building blocks like Pod, Deployment, Service, and Namespace is needed before you can get started with this book.

A step-by-step, comprehensive guide that includes real-world use cases to help you successfully develop and run applications and mission-critical workloads using MicroK8s Key FeaturesAn easy-to-follow guide that helps you get started with MicroK8s and other Kubernetes componentsUnderstand the key concepts and constraints for building IoT and edge architecturesGet guidance on how to develop and deploy use cases and examples on IoT and edge computing platformsBook Description Are you facing challenges with developing, deploying, monitoring, clustering, storing, securing, and managing Kubernetes in production environments as you're not familiar with infrastructure technologies? MicroK8s - a zero-ops, lightweight, and CNCF-compliant Kubernetes with a small footprint is the apt solution for you. This book gets you up and running with production-grade, highly available (HA) Kubernetes clusters on MicroK8s using best practices and examples based on IoT and edge computing. Beginning with an introduction to Kubernetes, MicroK8s, and IoT and edge computing architectures, this book shows you how to install, deploy sample apps, and enable add-ons (like DNS and dashboard) on the MicroK8s platform. You'll work with multi-node Kubernetes clusters on Raspberry Pi and networking plugins (such as Calico and Cilium) and implement service mesh, load balancing with MetalLB and Ingress, and AI/ML workloads on MicroK8s. You'll also understand how to secure containers, monitor infrastructure and apps with Prometheus, Grafana, and the ELK stack, manage storage replication with OpenEBS, resist component failure using a HA cluster, and more, as well as take a sneak peek into future trends. By the end of this book, you'll be able to use MicroK8 to build and implement scenarios for IoT and edge computing workloads in a production environment. What you will learnGet a holistic view of MicroK8s features using a sample applicationUnderstand IoT and edge computing and their architecture constraintsCreate, scale, and update HA Raspberry Pi multi-node clustersImplement AI/ML use cases with the Kubeflow platformWork with various networking plugins, and monitoring and logging toolsPerform service mesh integrations using Istio and LinkerdRun serverless applications using Knative and OpenFaaS frameworksSecure your containers using Kata and strict confinement optionsWho this book is for This book is for DevOps and cloud engineers, SREs, and application developers who want to implement efficient techniques for deploying their software solutions. It will also be useful for technical architects and technology leaders who are looking to adopt cloud-native technologies. A basic understanding of container-based application design and development, virtual machines, networking, databases, and programming will be helpful for using this book.