Master the art of container management with Kubernetes and study robust container orchestration to ensure that your container-based applications sail into production without hiccups Key FeaturesImplement best practices in cloud-native applications using KubernetesExplore the usage of client libraries and programmatic access to Kubernetes Use your domain expertise to codeBook Description Before plunging into how Kubernetes works, this book introduces you to the world of container orchestration and describes the recent changes in application development. You'll understand problems that Kubernetes solves and get to grips with using Kubernetes resources to deploy applications. In addition to this, you'll learn to apply the security model of Kubernetes clusters. Kubernetes Design Patterns and Extensions describes how services running in Kubernetes can leverage the platform's security features. Once you've grasped all this, you'll explore how to troubleshoot Kubernetes clusters and debug Kubernetes applications. You also discover how to analyze the networking model and its alternatives in Kubernetes, and apply best practices with design patterns. By the end of this book, you'll have studied all about using the power of Kubernetes for managing your containers. What you will learnUnderstand and classify software designs as per the cloud-native paradigmApply best practices in Kubernetes with design patternsSet up Kubernetes clusters in managed and unmanaged environmentsExplore Kubernetes extension pointsExtend Kubernetes with custom resources and controllers Integrate dynamic admission controllersDevelop and run custom schedulers in KubernetesAnalyze networking models in KubernetesWho this book is for Kubernetes Design Patterns and Extensions is for you if you are interested in configuring and troubleshooting Kubernetes clusters and developing microservices-based applications on Kubernetes clusters. DevOps engineers with basic knowledge of Docker will also find this book useful. It is assumed that you are comfortable using command-line tools and programming concepts and languages.

The way developers design, build, and run software has changed significantly with the evolution of microservices and containers. These modern architectures use new primitives that require a different set of practices than most developers, tech leads, and architects are accustomed to. With this focused guide, Bilgin Ibryam and Roland Huß from Red Hat provide common reusable elements, patterns, principles, and practices for designing and implementing cloud-native applications on Kubernetes. Each pattern includes a description of the problem and a proposed solution with Kubernetes specifics. Many patterns are also backed by concrete code examples. This book is ideal for developers already familiar with basic Kubernetes concepts who want to learn common cloud native patterns. You’ll learn about the following pattern categories: Foundational patterns cover the core principles and practices for building container-based cloud-native applications. Behavioral patterns explore finer-grained concepts for managing various types of container and platform interactions. Structural patterns help you organize containers within a pod, the atom of the Kubernetes platform. Configuration patterns provide insight into how application configurations can be handled in Kubernetes. Advanced patterns covers more advanced topics such as extending the platform with operators.

Create highly efficient design patterns for scalability, redundancy, and high availability in the AWS Cloud Key FeaturesBuild highly robust systems using the cloud infrastructureMake web applications resilient against scheduled and accidental downtimeExplore and apply Amazon-provided services in unique ways to solve common design problemsBook Description Whether you're just getting your feet wet in cloud infrastructure or already creating complex systems, this book will guide you through using the patterns to fit your system needs. Starting with patterns that cover basic processes such as source control and infrastructure-as-code, the book goes on to introduce cloud security practices. You'll then cover patterns of availability and scalability and get acquainted with the ephemeral nature of cloud environments. You'll also explore advanced DevOps patterns in operations and maintenance, before focusing on virtualization patterns such as containerization and serverless computing. In the final leg of your journey, this book will delve into data persistence and visualization patterns. You'll get to grips with architectures for processing static and dynamic data, as well as practices for managing streaming data. By the end of this book, you will be able to design applications that are tolerant of underlying hardware failures, resilient against an unexpected influx of data, and easy to manage and replicate. What you will learnImplement scaling policies on schedules, influxes in traffic, and deep health checksMake complete use of highly available and redundant storageDesign content delivery networks to improve user experienceOptimize databases through caching and shardingApply patterns to solve common problemsImplement repeatable processes for deploying systemsWho this book is for If you’re an architect, solution provider, or DevOps community member looking to implement repeatable patterns for deploying and maintaining services in the Amazon cloud infrastructure, this book is for you. You’ll need prior experience of using AWS understand key concepts covered in the book, as it focuses on the patterns rather than the basics of using AWS.

Rely on this comprehensive guide to understand the extension patterns and discover the extension plugins for Kubernetes. In this book, state-of-the-art extension patterns and extension points of Kubernetes are covered in depth with real-life use cases and examples. There are comprehensive discussions in the text on all possible aspects of Kubernetes, starting from end-user to the fully-automated controller development. The book focuses on creating applications that work on Kubernetes and also interact and operate Kubernetes itself. The book starts with a recap of Kubernetes, its rich configuration options, extension patterns, and points. The journey of extending Kubernetes starts with the CLI tool plugins. By the end of this section, you will be able to create and manage kubectl plugins. Then, the API access plugins with authentication and authorization webhooks are presented. In this section, you will learn how to extend and interfere with the API flow of Kubernetes. You then move on to learn how to extend Kubernetes API with new resources and controllers. You will make Kubernetes API work for you by creating a Kubernetes operator. Extensions for Kubernetes schedulers are covered to create a custom scheduler and run it side-by-side with the default scheduler. Finally, the last extension points will be discussed for the infrastructure, such as networking or storage. At the end of the text, you will learn the upcoming extension points. This book is designed to cover all the extension points of Kubernetes with state-of-the-art implementations. This book is intended for those who wish to understand Kubernetes in depth and go further by making Kubernetes work for their custom requirements. By the end of this book, readers with a cloud-native mindset will broaden their vision to create future-proof applications. Rather than focus on overwhelming theoretical information and YAML files for Kubernetes resources, readers are provided with the philosophy behind Kubernetes extensions. With real-life examples and hands-on development steps, you will be more confident in working with Kubernetes. You will: Know the Kubernetes extension patterns and available extension points Be familiar with the philosophy behind Kubernetes extensions and how they should be integrated into the clusters Design Kubernetes extensions and make Kubernetes work for you Develop, deploy, and operate plugins for Kubernetes ranging from the CLI tool to custom resources, schedulers, infrastructure, and more Study real-life use cases for extending Kubernetes with code examples.

Operators are a way of packaging, deploying, and managing Kubernetes applications. A Kubernetes application doesn't just run on Kubernetes; it's composed and managed in Kubernetes terms. Operators add application-specific operational knowledge to a Kubernetes cluster, making it easier to automate complex, stateful applications and to augment the platform. Operators can coordinate application upgrades seamlessly, react to failures automatically, and streamline repetitive maintenance like backups. Think of Operators as site reliability engineers in software. They work by extending the Kubernetes control plane and API, helping systems integrators, cluster administrators, and application developers reliably deploy and manage key services and components. Using real-world examples, authors Jason Dobies and Joshua Wood demonstrate how to use Operators today and how to create Operators for your applications with the Operator Framework and SDK. Learn how to establish a Kubernetes cluster and deploy an Operator Examine a range of Operators from usage to implementation Explore the three pillars of the Operator Framework: the Operator SDK, the Operator Lifecycle Manager, and Operator Metering Build Operators from the ground up using the Operator SDK Build, package, and run an Operator in development, testing, and production phases Learn how to distribute your Operator for installation on Kubernetes clusters

Build fast, efficient Kubernetes-based Java applications using the Quarkus framework, MicroProfile, and Java standards. In Kubernetes Native Microservices with Quarkus and MicroProfile you’ll learn how to: Deploy enterprise Java applications on Kubernetes Develop applications using the Quarkus runtime Compile natively using GraalVM for blazing speed Create efficient microservices applications Take advantage of MicroProfile specifications Popular Java frameworks like Spring were designed long before Kubernetes and the microservices revolution. Kubernetes Native Microservices with Quarkus and MicroProfile introduces next generation tools that have been cloud-native and Kubernetes-aware right from the beginning. Written by veteran Java developers John Clingan and Ken Finnigan, this book shares expert insight into Quarkus and MicroProfile directly from contributors at Red Hat. You’ll learn how to utilize these modern tools to create efficient enterprise Java applications that are easy to deploy, maintain, and expand. About the technology Build microservices efficiently with modern Kubernetes-first tools! Quarkus works naturally with containers and Kubernetes, radically simplifying the development and deployment of microservices. This powerful framework minimizes startup time and memory use, accelerating performance and reducing hosting cost. And because it's Java from the ground up, it integrates seamlessly with your existing JVM codebase. About the book Kubernetes Native Microservices with Quarkus and MicroProfile teaches you to build microservices using containers, Kubernetes, and the Quarkus framework. You'll immediately start developing a deployable application using Quarkus and the MicroProfile APIs. Then, you'll explore the startup and runtime gains Quarkus delivers out of the box and also learn how to supercharge performance by compiling natively using GraalVM. Along the way, you'll see how to integrate a Quarkus application with Spring and pick up pro tips for monitoring and managing your microservices. What's inside Deploy enterprise Java applications on Kubernetes Develop applications using the Quarkus runtime framework Compile natively using GraalVM for blazing speed Take advantage of MicroProfile specifications About the reader For intermediate Java developers comfortable with Java EE, Jakarta EE, or Spring. Some experience with Docker and Kubernetes required. About the author John Clingan is a senior principal product manager at Red Hat, where he works on enterprise Java standards and Quarkus. Ken Finnigan is a senior principal software engineer at Workday, previously at Red Hat working on Quarkus. Table of Contents PART 1 INTRODUCTION 1 Introduction to Quarkus, MicroProfile, and Kubernetes 2 Your first Quarkus application PART 2 DEVELOPING MICROSERVICES 3 Configuring microservices 4 Database access with Panache 5 Clients for consuming other microservices 6 Application health 7 Resilience strategies 8 Reactive in an imperative world 9 Developing Spring microservices with Quarkus PART 3 OBSERVABILITY, API DEFINITION, AND SECURITY OF MICROSERVICES 10 Capturing metrics 11 Tracing microservices 12 API visualization 13 Securing a microservice

Go beyond simply learning Kubernetes fundamentals and its deployment, and explore more advanced concepts, including serverless computing and service meshes with the latest updates Key FeaturesMaster Kubernetes architecture and design to build and deploy secure distributed applicationsLearn advanced concepts like autoscaling, cluster federation, serverless computing, and service mesh integration for observabilityExplore Kubernetes 1.18 features and its rich ecosystem of tools like Kubectl, Knative, and HelmBook Description The third edition of Mastering Kubernetes is updated with the latest tools and code enabling you to learn Kubernetes 1.18’s latest features. This book primarily concentrates on diving deeply into complex concepts and Kubernetes best practices to help you master the skills of designing and deploying large clusters on various cloud platforms. The book trains you to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. With the two new chapters, you will gain expertise in serverless computing and utilizing service meshes. As you proceed through the chapters, you will explore different options for network configuration and learn to set up, operate, and troubleshoot Kubernetes networking plugins through real-world use cases. Furthermore, you will understand the mechanisms of custom resource development and its utilization in automation and maintenance workflows. By the end of this Kubernetes book, you will graduate from an intermediate to advanced Kubernetes professional. What you will learnMaster the fundamentals of Kubernetes architecture and designBuild and run stateful applications and complex microservices on KubernetesUse tools like Kubectl, secrets, and Helm to manage resources and storageMaster Kubernetes Networking with load balancing options like IngressAchieve high-availability Kubernetes clustersImprove Kubernetes observability with tools like Prometheus, Grafana, and JaegerExtend Kubernetes working with Kubernetes API, plugins, and webhooksWho this book is for If you are a system administrator or a cloud developer with working knowledge of Kubernetes and are keen to master its advanced features, along with learning everything from building microservices to utilizing service meshes, Mastering Kubernetes is for you. Basic familiarity with networking concepts will be helpful.