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.

Elevate your Kubernetes expertise with seamless Istio integration, cutting-edge security insights, advanced CI/CD strategies, robust Prometheus and Grafana monitoring, all while excelling in multitenancy, secrets management, and global load balancing for exceptional proficiency. Key Features Focuses on what you need to run Kubernetes in an Enterprise environment, based on real-world experience Learn how to secure clusters by adding runtime security and enhancing secrets management using direct pod mounting and Vault integration Get a firm command of Kubernetes from a dual perspective of an admin as well as a developer Book DescriptionStay at the forefront of cloud-native technologies with the eagerly awaited Kubernetes – An Enterprise Guide, Third Edition. Delve deep into Kubernetes and emerge with the latest insights to conquer today's dynamic enterprise challenges. This meticulously crafted edition equips you with the latest insights to skillfully navigate the twists and turns of ever-evolving cloud technology. Experience a more profound exploration of advanced Kubernetes deployments, revolutionary techniques, and expert strategies that redefine your cloud-native skill set. Discover cutting-edge topics reshaping the technological frontier like virtual clusters, container security, and secrets management. Gain an edge by mastering these critical aspects of Kubernetes and propelling your enterprise to new heights. Expertly harness Kubernetes' power for business-critical applications with insider techniques. Smoothly transition to microservices with Istio, excel at modern deployments with GitOps/CI/CD, and bolster security with OPA/Gatekeeper and KubeArmor. Integrate Kubernetes with leading tools for maximum impact in a competitive landscape. Stay ahead of the technology curve with cutting-edge strategies for innovation and growth. Redefine cloud-native excellence with this definitive guide to leveraging Kubernetes.What you will learn Manage Secrets with Vault and External Secret Operator Create multitenant clusters with vCluster for isolated environments Monitor clusters with Prometheus and visualize metrics using Grafana Aggregate and analyze logs centrally with OpenSearch for insights Build a developer platform integrating GitLab and ArgoCD for CI/CD Deploy applications in Istio service mesh and secure them with OPA and GateKeeper Secure your container runtime and halt hackers in their tracks with KubeArmor Who this book is for Tech enthusiasts, DevOps aficionados, and those keen on mastering containerization will revel in the insights offered by this book. Designed for DevOps engineers, developers, and system administrators seeking to amplify their IT journey, this guide is your gateway to next-level Kubernetes expertise. While some familiarity with Docker and Kubernetes is advantageous, fear not if you're new to these concepts. A Kubernetes bootcamp is thoughtfully included, ensuring a seamless learning experience for beginners and those in need of a refresher.

Apply Kubernetes beyond the basics of Kubernetes clusters by implementing IAM using OIDC and Active Directory, Layer 4 load balancing using MetalLB, advanced service integration, security, auditing, and CI/CD Key Features Find out how to add enterprise features to a Kubernetes cluster with theory and exercises to guide you Understand advanced topics including load balancing, externalDNS, IDP integration, security, auditing, backup, and CI/CD Create development clusters for unique testing requirements, including running multiple clusters on a single server to simulate an enterprise environment Book DescriptionContainerization has changed the DevOps game completely, with Docker and Kubernetes playing important roles in altering the flow of app creation and deployment. This book will help you acquire the knowledge and tools required to integrate Kubernetes clusters in an enterprise environment. The book begins by introducing you to Docker and Kubernetes fundamentals, including a review of basic Kubernetes objects. You’ll then get to grips with containerization and understand its core functionalities, including how to create ephemeral multinode clusters using kind. As you make progress, you’ll learn about cluster architecture, Kubernetes cluster deployment, and cluster management, and get started with application deployment. Moving on, you’ll find out how to integrate your container to a cloud platform and integrate tools including MetalLB, externalDNS, OpenID connect (OIDC), pod security policies (PSPs), Open Policy Agent (OPA), Falco, and Velero. Finally, you will discover how to deploy an entire platform to the cloud using continuous integration and continuous delivery (CI/CD). By the end of this Kubernetes book, you will have learned how to create development clusters for testing applications and Kubernetes components, and be able to secure and audit a cluster by implementing various open-source solutions including OpenUnison, OPA, Falco, Kibana, and Velero.What you will learn Create a multinode Kubernetes cluster using kind Implement Ingress, MetalLB, and ExternalDNS Configure a cluster OIDC using impersonation Map enterprise authorization to Kubernetes Secure clusters using PSPs and OPA Enhance auditing using Falco and EFK Back up your workload for disaster recovery and cluster migration Deploy to a platform using Tekton, GitLab, and ArgoCD Who this book is for This book is for anyone interested in DevOps, containerization, and going beyond basic Kubernetes cluster deployments. DevOps engineers, developers, and system administrators looking to enhance their IT career paths will also find this book helpful. Although some prior experience with Docker and Kubernetes is recommended, this book includes a Kubernetes bootcamp that provides a description of Kubernetes objects to help you if you are new to the topic or need a refresher.

Leverage Kubernetes and container architecture to successfully run production-ready workloads Key FeaturesImplement Kubernetes to orchestrate and scale applications proficientlyLeverage the latest features of Kubernetes to resolve common as well as complex problems in a cloud-native environmentGain hands-on experience in securing, monitoring, and troubleshooting your applicationBook Description Kubernetes is a popular open source orchestration platform for managing containers in a cluster environment. With this Kubernetes cookbook, you’ll learn how to implement Kubernetes using a recipe-based approach. The book will prepare you to create highly available Kubernetes clusters on multiple clouds such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, Alibaba, and on-premises data centers. Starting with recipes for installing and configuring Kubernetes instances, you’ll discover how to work with Kubernetes clients, services, and key metadata. You’ll then learn how to build continuous integration/continuous delivery (CI/CD) pipelines for your applications, and understand various methods to manage containers. As you advance, you’ll delve into Kubernetes' integration with Docker and Jenkins, and even perform a batch process and configure data volumes. You’ll get to grips with methods for scaling, security, monitoring, logging, and troubleshooting. Additionally, this book will take you through the latest updates in Kubernetes, including volume snapshots, creating high availability clusters with kops, running workload operators, new inclusions around kubectl and more. By the end of this book, you’ll have developed the skills required to implement Kubernetes in production and manage containers proficiently. What you will learnDeploy cloud-native applications on KubernetesAutomate testing in the DevOps workflowDiscover and troubleshoot common storage issuesDynamically scale containerized services to manage fluctuating traffic needsUnderstand how to monitor your containerized DevOps environmentBuild DevSecOps into CI/CD pipelinesWho this book is for This Kubernetes book is for developers, IT professionals, and DevOps engineers and teams who want to use Kubernetes to manage, scale, and orchestrate applications in their organization. Basic understanding of Kubernetes and containerization is necessary.

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.

Build and deploy scalable cloud native microservices using the Spring framework and Kubernetes. KEY FEATURES ● Complete coverage on how to design, build, run, and deploy modern cloud native microservices. ● Includes numerous sample code exercises on microservices, Spring and Kubernetes. ● Develop a stronghold on Kubernetes, Spring, and the microservices architecture. ● Complete guide of application containerization on Kubernetes containers. ● Coverage on managing modern applications and infrastructure using observability tools. DESCRIPTION The main objective of this book is to give an overview of cloud native microservices, their architecture, design patterns, best practices, real use cases and practical coverage of modern applications. This book covers a strong understanding of the fundamentals of microservices, API first approach, Testing, observability, API Gateway, Service Mesh and Kubernetes alternatives of Spring Cloud. This book covers the implementation of various design patterns of developing cloud native microservices using Spring framework docker and Kubernetes libraries. It covers containerization concepts and hands-on lab exercises like how to build, run and manage microservices applications using Kubernetes. After reading this book, the readers will have a holistic understanding of building, running, and managing cloud native microservices applications on Kubernetes containers. WHAT YOU WILL LEARN ● Learn fundamentals of microservice and design patterns. ● Learn microservices development using Spring Boot and Kubernetes. ● Learn to develop reactive, event-driven, and batch microservices. ● Perform end-to-end microservices testing using Cucumber. ● Implement API gateway,authentication & authorization,load balancing, caching, rate limiting. ● Learn observability and monitoring techniques of microservices. WHO THIS BOOK IS FOR This book is for the Spring Developers, Microservice Developers, Cloud Engineers, DevOps Consultants, Technical Architect and Solution Architects, who have some familiarity with application development, Docker and Kubernetes containers. TABLE OF CONTENTS 1. Overview of Cloud Native microservices 2. Microservice design patterns 3. API first approach 4. Build microservices using the Spring Framework 5. Batch microservices 6. Build reactive and event-driven microservices 7. The API gateway, security, and distributed caching with Redis 8. Microservices testing and API mocking 9. Microservices observability 10. Containers and Kubernetes overview and architecture 11. Run microservices on Kubernetes 12. Service Mesh and Kubernetes alternatives of Spring Cloud

Build cloud native observability pipelines with minimal footprints and high-performance throughput—all with Fluent Bit, Kubernetes, and your favorite visualization and analytics tools. Logs and Telemetry is an all-practical guide to monitoring both cloud-native and traditional environments with the Fluent Bit observability tool. It takes you from the basics of collecting app logs, all the way to filtering, routing, enriching and transforming logs, metrics, and traces. Inside Logs and Telemetry you’ll learn how to: • Deploy Fluent Bit for telemetry (log, metric, and trace) collection • Configure pipelines to filter, route, and transform data • Integrate Fluent Bit with containers and Kubernetes • Configure Fluent Bit to work with OpenTelemetry, Prometheus, and other open source tech • Monitor applications at scale with minimal footprint • Address challenges in Kubernetes-based ecosystems using Fluent Bit • Utilize Fluent Bit for real-time event analytics to derive new metrics and insights • Develop custom filters, inputs, and outputs for unique or reusable use cases Logs and Telemetry draws on both the input and support of key committers and founders of Fluent Bit, and author Phil Wilkins’ years of experience in DevOps. Inside, you’ll see how you can integrate Fluent Bit with Prometheus, OpenTelemetry, FluentD deployments, and more. Learn how Fluent Bit can not only meet all the demands of cloud-native use cases, but also more traditional deployments as well. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Fluent Bit is a super-fast lightweight observability tool that’s perfect for Kubernetes and containers, as well as traditional IT environments. Fluent Bit makes it a snap to extract meaning from the logs, traces, and other performance metrics generated by your applications and infrastructure. It’s also a great way to route telemetry to analysis tools like Prometheus and Grafana. About the book Logs and Telemetry shows you how to turn systems data into actionable insights using Fluent Bit. You’ll start by learning the pre-built plugins for common use cases and progress to integration with powerful tools like OpenTelemetry and real-time analytical event processing. You’ll use plugins to configure routing, filtering and processing, automate your observability with Lua scripts, and configure Fluent Bit to meet the demands of highly scalable environments. What's inside • Deploy Fluent Bit for telemetry collection • Configure pipelines to filter, route, and transform data • Integrate Fluent Bit with containers and Kubernetes • Monitor applications at scale About the reader For developers, DevOps engineers, and SREs working with observability. About the author Phil Wilkins has spent over 25 years in the software industry from multinationals to software startups. He is the author of Logging in Action. The technical editor on this book was Karthik Gaekwad. Table of Contents Part 1 1 Introduction to Fluent Bit 2 From zero to “Hello, World” Part 2 3 Capturing inputs 4 Getting inputs from containers and Kubernetes 5 Outputting events 6 Parsing to extract more meaning 7 Filtering and transforming events Part 3 8 Stream processors for time series calculations and filtering 9 Building processors and Fluent Bit extension options 10 Building plugins 11 Putting Fluent Bit into action: An enterprise use case Appendix A Installations Appendix B Useful resources Appendix C Comparing Fluent Bit and Fluentd

Embrace the Cloud-Native Era with the Kubernetes Cookbook. This comprehensive guide offers a wealth of practical recipes to help you master Kubernetes and unlock its full potential.

Take a deep dive into Kubernetes inner components and discover what really powers a Kubernetes cluster. This in-depth guide shines a light on Kubernetes' murky internals, to help you better plan cloud native architectures and ensure the reliability of your systems. In Core Kubernetes you will learn about: Kubernetes base components Kubernetes networking Storage and the Container Storage Interface External load balancing and ingress Kubernetes security Different ways of creating a Kubernetes cluster Configuring Kubernetes to use a GPU To build and operate reliable Kubernetes-based systems, you need to understand what’s going on below the surface. Core Kubernetes is an in-depth guide to Kubernetes’ internal workings written by Kubernetes contributors Chris Love and Jay Vyas. It’s packed with experience-driven insights and advanced techniques you won’t find anywhere else. You’ll understand the unique security concerns of container-based applications, minimize costly unused capacity, and get pro tips for maximizing performance. Diagrams, labs, and hands-on examples ensure that the complex ideas are easy to understand and practical to apply. About the technology Real-world Kubernetes deployments are messy. Even small configuration errors or design problems can bring your system to its knees. In the real world, it pays to know how each component works so you can quickly troubleshoot, reset, and get on to the next challenge. This one-of-a-kind book includes the details, hard-won advice, and pro tips to keep your Kubernetes apps up and running. About the book This book is a tour of Kubernetes under the hood, from managing iptables to setting up dynamically scaled clusters that respond to changes in load. Every page will give you new insights on setting up and managing Kubernetes and dealing with inevitable curveballs. Core Kubernetes is a comprehensive reference guide to maintaining Kubernetes deployments in production. What's inside Kubernetes base components Storage and the Container Storage Interface Kubernetes security Different ways of creating a Kubernetes cluster Details about the control plane, networking, and other core components About the reader For intermediate Kubernetes developers and administrators. About the author Jay Vyas and Chris Love are seasoned Kubernetes developers. Table of Contents 1 Why Kubernetes exists 2 Why the Pod? 3 Let’s build a Pod 4 Using cgroups for processes in our Pods 5 CNIS and providing the Pod with a network 6 Troubleshooting large-scale network errors 7 Pod storage and the CSI 8 Storage implementation and modeling 9 Running Pods: How the kubelet works 10 DNS in Kubernetes 11 The core of the control plane 12 etcd and the control plane 13 Container and Pod security 14 Nodes and Kubernetes security 15 Installing applications

Design, build, and operate scalable and reliable Kubernetes infrastructure for production Key FeaturesImplement industry best practices to build and manage production-grade Kubernetes infrastructureLearn how to architect scalable Kubernetes clusters, harden container security, and fine-tune resource managementUnderstand, manage, and operate complex business workloads confidentlyBook Description Although out-of-the-box solutions can help you to get a cluster up and running quickly, running a Kubernetes cluster that is optimized for production workloads is a challenge, especially for users with basic or intermediate knowledge. With detailed coverage of cloud industry standards and best practices for achieving scalability, availability, operational excellence, and cost optimization, this Kubernetes book is a blueprint for managing applications and services in production. You'll discover the most common way to deploy and operate Kubernetes clusters, which is to use a public cloud-managed service from AWS, Azure, or Google Cloud Platform (GCP). This book explores Amazon Elastic Kubernetes Service (Amazon EKS), the AWS-managed version of Kubernetes, for working through practical exercises. As you get to grips with implementation details specific to AWS and EKS, you'll understand the design concepts, implementation best practices, and configuration applicable to other cloud-managed services. Throughout the book, you'll also discover standard and cloud-agnostic tools, such as Terraform and Ansible, for provisioning and configuring infrastructure. By the end of this book, you'll be able to leverage Kubernetes to operate and manage your production environments confidently. What you will learnExplore different infrastructure architectures for Kubernetes deploymentImplement optimal open source and commercial storage management solutionsApply best practices for provisioning and configuring Kubernetes clusters, including infrastructure as code (IaC) and configuration as code (CAC)Configure the cluster networking plugin and core networking components to get the best out of themSecure your Kubernetes environment using the latest tools and best practicesDeploy core observability stacks, such as monitoring and logging, to fine-tune your infrastructureWho this book is for This book is for cloud infrastructure experts, DevOps engineers, site reliability engineers, and engineering managers looking to design and operate Kubernetes infrastructure for production. Basic knowledge of Kubernetes, Terraform, Ansible, Linux, and AWS is needed to get the most out of this book.