Bøger af Gigi Sayfan

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 FeaturesMaster Kubernetes architecture and design to build, deploy, and secure large-scale distributed systemsLearn advanced concepts like autoscaling, multi-cluster management, serverless computing, service meshes and policy enginesExplore Kubernetes 1.25 and its rich ecosystem of tools like Kubectl, Krew, K9s, Lens, and HelmBook 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 learnLearn how to govern Kubernetes using policy enginesLearn what it takes to run Kubernetes in production and at scaleBuild and run stateful applications and complex microservicesMaster Kubernetes networking with services, Ingress objects, load balancers, and service meshesAchieve high availability for your Kubernetes clustersImprove Kubernetes observability with tools such as Prometheus, Grafana, and JaegerExtend Kubernetes with the Kubernetes API, plugins, and webhooksWho this book is forIf 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.Table of ContentsUnderstanding Kubernetes ArchitectureCreating Kubernetes ClustersHigh Availability and ReliabilitySecuring KubernetesUsing Kubernetes Resources in PracticeManaging StorageRunning Stateful Applications with KubernetesDeploying and Updating ApplicationsPackaging ApplicationsExploring Kubernetes NetworkingRunning Kubernetes on Multiple ClustersServerless Computing on KubernetesMonitoring Kubernetes ClustersUtilizing Service MeshesExtending KubernetesGoverning KubernetesRunning Kubernetes in ProductionThe Future of Kubernetes

Hands-on Microservices with Kubernetes will help you create a complete CI/CD pipeline and design and implement microservices using best practices. You will get hands on experience with the latest and greatest technologies, such as gRPC APIs, serverless frameworks, and service meshes.

Kubernetes is an open source system used to automate the deployment, scaling, and management of containerized applications. If you are running more than just a few containers or want automated management of your containers, you need Kubernetes. This book focuses on helping you master the advanced management of Kubernetes clusters.