Go beyond the basics of Kubernetes and explore more advanced concepts, including Kubernetes in production, governance, serverless computing, and service meshes. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Master Kubernetes architecture and design to build, deploy, and secure large-scale distributed systems Learn advanced concepts like autoscaling, multi-cluster management, serverless computing, service meshes and policy engines Explore Kubernetes 1.25 and its rich ecosystem of tools like Kubectl, Krew, K9s, Lens, and Helm Book DescriptionThe fourth edition of the bestseller Mastering Kubernetes includes the most recent tools and code to enable you to learn the latest features of Kubernetes 1.25. This book contains a thorough exploration of complex concepts and best practices to help you master the skills of designing and deploying large-scale distributed systems on Kubernetes clusters. You’ll learn how to run complex stateless and stateful microservices on Kubernetes, including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backends. In addition, you’ll understand how to utilize serverless computing and service meshes. Further, two new chapters have been added. “Governing Kubernetes” covers the problem of policy management, how admission control addresses it, and how policy engines provide a powerful governance solution. “Running Kubernetes in Production” shows you what it takes to run Kubernetes at scale across multiple cloud providers, multiple geographical regions, and multiple clusters, and it also explains how to handle topics such as upgrades, capacity planning, dealing with cloud provider limits/quotas, and cost management. By the end of this Kubernetes book, you’ll have a strong understanding of, and hands-on experience with, a wide range of Kubernetes capabilities.What you will learn Learn how to govern Kubernetes using policy engines Learn what it takes to run Kubernetes in production and at scale Build and run stateful applications and complex microservices Master Kubernetes networking with services, Ingress objects, load balancers, and service meshes Achieve high availability for your Kubernetes clusters Improve Kubernetes observability with tools such as Prometheus, Grafana, and Jaeger Extend Kubernetes with the Kubernetes API, plugins, and webhooks Who this book is for If you're a system administrator or cloud developer who wants to become comfortable with Kubernetes and would like to master its advanced features, then this book is for you. Software and DevOps engineers with a working knowledge of Kubernetes, as well as technical managers of Kubernetes-based systems, will also find this book useful. Those deciding on whether to migrate to Kubernetes and are curious about its inner workings will find plenty of answers here as well. Basic familiarity with networking concepts will prove beneficial.

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.

A clear and practical beginner’s guide that shows you just how easy it can be to make the switch to Kubernetes! Kubernetes for Developers reveals practical and painless methods for deploying your apps on Kubernetes—even for small-to-medium sized applications! You’ll learn how to migrate your existing apps onto Kubernetes without a rebuild, and implement modern cloud native architectures that can handle your future growth. Inside, you’ll learn how to: Containerize a web application with Docker Host a containerized app on Kubernetes with a public cloud service Save money and improve performance with cloud native technologies Make your deployments reliable and fault tolerant Prepare your deployments to scale without a redesign Monitor, debug and tune application deployments on Kubernetes Designed for busy working developers, this hands-on guide helps your first steps into Kubernetes using the powerful Google Kubernetes Engine (GKE) service. Learn how the GKE’s powerful automation tools can perform automatic checks and scaling, giving you more time to spend developing great applications. You’ll soon see that you don’t need to incur huge costs or have the manpower of an enterprise organization to get a productivity boost from Kubernetes! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Modern software needs to perform at scale while effectively handling load balancing, state and security. Kubernetes makes these tasks easier and more reliable for apps of any size. This book, written especially for software developers creating applications that run on Kubernetes, shows you exactly how to address these and other important issues. About the book Kubernetes for Developers covers everything you need to know to containerize and deploy an app on Kubernetes from the developer’s perspective. You’ll start by creating a small application you can run on a cloud-based Kubernetes cluster. Then, you’ll systematically explore best practices for stable long-term deployment, including scaling, capacity planning, and resource optimization. What's inside Deploying reliable web applications using automated operations Scaling up without an application redesign Monitoring, debugging, and tuning workloads About the reader For developers familiar with building or deploying web applications. No Docker or Kubernetes experience required. About the author William Denniss is a product manager at Google working on Google Kubernetes Engine. Table of Contents PART 1 Getting started with Kubernetes 1 Kubernetes for application deployment 2 Containerizing apps 3 Deploying to Kubernetes 4 Automated operations 5 Resource management PART 2 Going to production 6 Scaling up 7 Internal services and load balancing 8 Node feature selection 9 Stateful applications 10 Background processing 11 GitOps: Configuration as code 12 Securing Kubernetes

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.

Safely manage your secret information like passwords, keys, and certificates in Kubernetes. This practical guide is full of best practices and methods for adding layers of security that will defend the critical data of your applications. In Kubernetes Secrets Management you will find: Strategies for storing secure assets in Kubernetes Cryptographic options and how to apply them in Kubernetes Using the HashiCorp Vault server on Kubernetes for secure secrets storage Managing security with public cloud providers Applying security concepts using tools from the Kubernetes ecosystem End-to-end secrets storage from development to operations Implementing in Kubernetes in CI/CD systems Secrets, like database passwords and API keys, are some of the most important data in your application. Kubernetes Secrets Management reveals how to store these sensitive assets in Kubernetes in a way that’s protected against leaks and hacks. You’ll learn the default capabilities of Kubernetes secrets, where they’re lacking, and alternative options to strengthen applications and infrastructure. Discover a security-first mindset that is vital for storing and using secrets correctly, and tools and concepts that will help you manage sensitive assets such as certificates, keys, and key rotation. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Kubernetes relies on passwords, tokens, keys, certificates, and other sensitive information to keep your system secure. But how do you keep these “secrets” safe? In this concise, practical book you’ll learn secrets management techniques that go far beyond the Kubernetes defaults. About the book Kubernetes Secrets Management reveals security best practices and reliable third-party tools for protecting sensitive data in Kubernetes-based systems. In this focused guide, you’ll explore relevant, real-world examples like protecting secrets in a code repository, securing keys with HashiCorp Vault, and adding layers to maintain protection after a breach. Along the way, you’ll pick up secrets management techniques you can use outside Kubernetes, as well. What's inside Cryptographic options you can apply in Kubernetes Managing security with public cloud providers Secrets storage, from development to production End-to-end Kubernetes secrets management in CI/CD systems About the reader For readers experienced with Kubernetes and CI/CD practices. About the author Alex Soto is a director of developer experience at Red Hat, a Java Champion since 2007, an international speaker, and a teacher at Salle URL University. Andrew Block is a distinguished architect with Red Hat, and an active member of the open-source community. Table of Contents PART 1 SECRETS AND KUBERNETES 1 Kubernetes Secrets 2 An introduction to Kubernetes and Secrets PART 2 MANAGING SECRETS 3 Securely storing Secrets 4 Encrypting data at rest 5 HashiCorp Vault and Kubernetes 6 Accessing cloud secrets stores PART 3 CONTINUOUS INTEGRATION AND CONTINUOUS DELIVERY 7 Kubernetes-native continuous integration and Secrets 8 Kubernetes-native continuous delivery and Secrets

Deploy, orchestrate, and monitor serverless applications using Kubernetes Key FeaturesGet hands-on experience with frameworks, such as Kubeless, Apache OpenWhisk, and FunktionMaster the basics of Kubernetes and prepare yourself for challenging technical assessmentsLearn how to launch Kubernetes both locally and in a public cloudBook Description Kubernetes has established itself as the standard platform for container management, orchestration, and deployment. By learning Kubernetes, you’ll be able to design your own serverless architecture by implementing the function-as-a-service (FaaS) model. After an accelerated, hands-on overview of the serverless architecture and various Kubernetes concepts, you’ll cover a wide range of real-world development challenges faced by real-world developers, and explore various techniques to overcome them. You’ll learn how to create production-ready Kubernetes clusters and run serverless applications on them. You'll see how Kubernetes platforms and serverless frameworks such as Kubeless, Apache OpenWhisk and OpenFaaS provide the tooling to help you develop serverless applications on Kubernetes. You'll also learn ways to select the appropriate framework for your upcoming project. By the end of this book, you’ll have the skills and confidence to design your own serverless applications using the power and flexibility of Kubernetes. What you will learnDeploy a Kubernetes cluster locally with MinikubeGet familiar with AWS Lambda and Google Cloud FunctionsCreate, build, and deploy a webpage generated by the serverless functions in the cloudCreate a Kubernetes cluster running on the virtual kubelet hardware abstractionCreate, test, troubleshoot, and delete an OpenFaaS functionCreate a sample Slackbot with Apache OpenWhisk actionsWho this book is for This book is for software developers and DevOps engineers who have basic or intermediate knowledge about Kubernetes and want to learn how to create serverless applications that run on Kubernetes. Those who want to design and create serverless applications running on the cloud, or on-premise Kubernetes clusters will also find this book useful.

Legend has it that Google deploys over two billion application containers a week. How’s that possible? Google revealed the secret through a project called Kubernetes, an open source cluster orchestrator (based on its internal Borg system) that radically simplifies the task of building, deploying, and maintaining scalable distributed systems in the cloud. This practical guide shows you how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency. Authors Kelsey Hightower, Brendan Burns, and Joe Beda—who’ve worked on Kubernetes at Google and other organizatons—explain how this system fits into the lifecycle of a distributed application. You will learn how to use tools and APIs to automate scalable distributed systems, whether it is for online services, machine-learning applications, or a cluster of Raspberry Pi computers. Explore the distributed system challenges that Kubernetes addresses Dive into containerized application development, using containers such as Docker Create and run containers on Kubernetes, using the docker image format and container runtime Explore specialized objects essential for running applications in production Reliably roll out new software versions without downtime or errors Get examples of how to develop and deploy real-world applications in Kubernetes

Kubernetes is the operating system of the cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts John Arundel and Justin Domingus show you what Kubernetes can do—and what you can do with it. You’ll learn all about the Kubernetes ecosystem, and use battle-tested solutions to everyday problems. You’ll build, step by step, an example cloud native application and its supporting infrastructure, along with a development environment and continuous deployment pipeline that you can use for your own applications. Understand containers and Kubernetes from first principles; no experience necessary Run your own clusters or choose a managed Kubernetes service from Amazon, Google, and others Use Kubernetes to manage resource usage and the container lifecycle Optimize clusters for cost, performance, resilience, capacity, and scalability Learn the best tools for developing, testing, and deploying your applications Apply the latest industry practices for security, observability, and monitoring Adopt DevOps principles to help make your development teams lean, fast, and effective

Design, deploy, and manage large-scale containers using Kubernetes Key FeaturesGain insight into the latest features of Kubernetes, including Prometheus and API aggregationDiscover ways to keep your clusters always available, scalable, and up-to-dateMaster the skills of designing and deploying large clusters on various cloud platformsBook Description If you are running a number of containers and want to be able to automate the way they’re managed, it can be helpful to have Kubernetes at your disposal. This Learning Path guides you through core Kubernetes constructs, such as pods, services, replica sets, replication controllers, and labels. You'll get started by learning how to integrate your build pipeline and deployments in a Kubernetes cluster. As you cover more chapters in the Learning Path, you'll get up to speed with orchestrating updates behind the scenes, avoiding downtime on your cluster, and dealing with underlying cloud provider instability in your cluster. With the help of real-world use cases, you'll also explore options for network configuration, and understand how to set up, operate, and troubleshoot various Kubernetes networking plugins. In addition to this, you'll gain insights into custom resource development and utilization in automation and maintenance workflows. By the end of this Learning Path, you'll have the expertise you need to progress from an intermediate to an advanced level of understanding Kubernetes. This Learning Path includes content from the following Packt products: Getting Started with Kubernetes - Third Edition by Jonathan Baier and Jesse WhiteMastering Kubernetes - Second Edition by Gigi SayfanWhat you will learnDownload, install, and configure the Kubernetes code baseCreate and configure custom Kubernetes resources Use third-party resources in your automation workflowsDeliver applications as standard packagesSet up and access monitoring and logging for Kubernetes clustersSet up external access to applications running in the clusterManage and scale Kubernetes with hosted platforms on Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP)Run multiple clusters and manage them from a single control planeWho this book is for If you are a developer or a system administrator with an intermediate understanding of Kubernetes and want to master its advanced features, then this book is for you. Basic knowledge of networking is required to easily understand the concepts explained.

Summary The best way to learn microservices development is to build something! Bootstrapping Microservices with Docker, Kubernetes, and Terraform guides you from zero through to a complete microservices project, including fast prototyping, development, and deployment. You’ll get your feet wet using industry-standard tools as you learn and practice the practical skills you’ll use for every microservices application. Following a true bootstrapping approach, you’ll begin with a simple, familiar application and build up your knowledge and skills as you create and deploy a real microservices project. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Taking microservices from proof of concept to production is a complex, multi-step operation relying on tools like Docker, Terraform, and Kubernetes for packaging and deployment. The best way to learn the process is to build a project from the ground up, and that’s exactly what you’ll do with this book! About the book In Bootstrapping Microservices with Docker, Kubernetes, and Terraform, author Ashley Davis lays out a comprehensive approach to building microservices. You’ll start with a simple design and work layer-by-layer until you’ve created your own video streaming application. As you go, you’ll learn to configure cloud infrastructure with Terraform, package microservices using Docker, and deploy your finished project to a Kubernetes cluster. What's inside Developing and testing microservices applications Working with cloud providers Applying automated testing Implementing infrastructure as code and setting up a continuous delivery pipeline Monitoring, managing, and troubleshooting About the reader Examples are in JavaScript. No experience with microservices, Kubernetes, Terraform, or Docker required. About the author Ashley Davis is a software developer, entrepreneur, stock trader, and the author of Manning’s Data Wrangling with JavaScript. Table of Contents 1 Why microservices? 2 Creating your first microservice 3 Publishing your first microservice 4 Data management for microservices 5 Communication between microservices 6 Creating your production environment 7 Getting to continuous delivery 8 Automated testing for microservices 9 Exploring FlixTube 10 Healthy microservices 11 Pathways to scalability