Gitops

GitOps has caused quite some fuss on Twitter and KubeCon, and still continues to do so. This book aggregates the essence of GitOps to help clear up the confusion. This book answers the following questions: What is GitOps? Why should I use GitOps? How does GitOps work? How to get started with GitOps on Kubernetes? What's the Future of GitOps? Early Praise"Software development nowadays requires to be fast and iterative, infrastructure needs to adapt and evolve with the same velocity. GitOps is fundamental for modern infrastructure implementation. With GitOps your source of truth is one or more Git repositories, your process is automated and, most likely, your infrastructure is implemented in a declarative manner. For over four years I've been helping companies implementing GitOps. In this book, you find a great introduction to GitOps and how to apply it to real-world use cases with great hands-on examples." Vincenzo Ferme, Cloud Native Tech Lead at Kiratech "GitOps - Cloud-native Continuous Deployment is at the heart of modern Cloud development, automation is king and efficiency is what you get. This GitOps book is very much the same as GitOps development: nice and handy." Dr. Andreas Schönberger, Founder Lion5 GmbH "Informative and concise introduction to a neat CI/CD method built around Git." Dr. Michael Oberparleiter, Software consultant at TNG Technology Consulting

Understand how to use K3s and k3OS for different use cases and discover best practices for building an edge computing system Key FeaturesA guide to implementing an edge computing environmentReduce latency and costs for real-time applications running at the edgeFind stable and relevant cloud native open source software to complement your edge environmentsBook Description Edge computing is a way of processing information near the source of data instead of processing it on data centers in the cloud. In this way, edge computing can reduce latency when data is processed, improving the user experience on real-time data visualization for your applications. Using K3s, a light-weight Kubernetes and k3OS, a K3s-based Linux distribution along with other open source cloud native technologies, you can build reliable edge computing systems without spending a lot of money. In this book, you will learn how to design edge computing systems with containers and edge devices using sensors, GPS modules, WiFi, LoRa communication and so on. You will also get to grips with different use cases and examples covered in this book, how to solve common use cases for edge computing such as updating your applications using GitOps, reading data from sensors and storing it on SQL and NoSQL databases. Later chapters will show you how to connect hardware to your edge clusters, predict using machine learning, and analyze images with computer vision. All the examples and use cases in this book are designed to run on devices using 64-bit ARM processors, using Raspberry Pi devices as an example. By the end of this book, you will be able to use the content of these chapters as small pieces to create your own edge computing system. What you will learnConfigure k3OS and K3s for development and production scenariosPackage applications into K3s for shipped-node scenariosDeploy in occasionally connected scenarios, from one node to one million nodesManage GitOps for applications across different locationsUse open source cloud native software to complement your edge computing systemsImplement observability event-driven and serverless edge applicationsCollect and process data from sensors at the edge and visualize it into the cloudWho this book is for This book is for engineers (developers and/or operators) seeking to bring the cloud native benefits of GitOps and Kubernetes to the edge. Anyone with basic knowledge of Linux and containers looking to learn Kubernetes using examples applied to edge computing and hardware systems will benefit from this book.

Numerous advancements are being brought in and incorporated into the cloud domain with the aim of realizing a trove of deeper and decisive automations. Rather than discussing the cloud paradigm in isolation, this fully updated text examines how cloud computing can work collaboratively with other computing models to meet the needs of evolving trends.This multi-dimensional approach encompasses the challenges of fulfilling the storage requirements of big data, the use of the cloud as a remote server for Internet of Things and sensor networks, and an investigation of how cloud computing is interlinked with other established computing phenomenon such as edge computing. New chapters illustrate the distinct ideals of the cloud-native computing, proclaimed as the next-generation cloud computing paradigm. Topics and features: Includes learning objectives, motivating questions, and self-test exercises Introduces the underlying concepts, fundamental features, and key technological foundations of cloud computing Examines how enterprise networking and cloud networking can work together to achieve business goals Reviews the different types of cloud storage available to address the evolution of data and the need for digitization Discusses the challenges and approaches to implementing cloud governance, security, and the hot topic of cloud management Describes the details of cloud migration, the crucial role of monitoring in optimizing the cloud, and the basics of disaster recovery using cloud infrastructure This technically rigorous, yet simple-to-follow textbook is an ideal resource for graduate courses on cloud computing. Professional software developers and cloud architects will also find the work to be an invaluable reference.

In this practical guide, four Kubernetes professionals with deep experience in distributed systems, enterprise application development, and open source will guide you through the process of building applications with this container orchestration system. They distill decades of experience from companies that are successfully running Kubernetes in production and provide concrete code examples to back the methods presented in this book. Revised to cover all the latest Kubernetes features, new tooling, and deprecations, this book is ideal for those who are familiar with basic Kubernetes concepts but want to get up to speed on the latest best practices. You'll learn exactly what you need to know to build your best app with Kubernetes the first time. Set up and develop applications in Kubernetes Learn patterns for monitoring, securing your systems, and managing upgrades, rollouts, and rollbacks Integrate services and legacy applications and develop higher-level platforms on top of Kubernetes Run machine learning workloads in Kubernetes Ensure pod and container security Understand issues that have become increasingly critical to the successful implementation of Kubernetes, such as chaos engineering/testing, GitOps, service mesh, and observability

A practical guide to solving inner development loop problems in cloud-native applications by automating build, push, and deploy boilerplate using Skaffold Key FeaturesLearn how to build and deploy cloud-native applications quickly with KubernetesCreate a production-ready continuous integration and continuous delivery (CI/CD) pipeline for cloud-native appsDiscover ways to create a GitOps-style CD workflow for cloud-native applicationsBook Description Kubernetes has become the de facto standard for container orchestration, drastically improving how we deploy and manage cloud-native apps. Although it has simplified the lives of support professionals, we cannot say the same for developers who need to be equipped with better tools to increase productivity. An automated workflow that solves a wide variety of problems that every developer faces can make all the difference! Enter Skaffold – a command-line tool that automates the build, push, and deploy steps for Kubernetes applications. This book is divided into three parts, starting with common challenges encountered by developers in building apps with Kubernetes. The second part covers Skaffold features, its architecture, supported container image builders, and more. In the last part, you'll focus on practical implementation, learning how to deploy Spring Boot apps to cloud platforms such as Google Cloud Platform (GCP) using Skaffold. You'll also create CI/CD pipelines for your cloud-native apps with Skaffold. Although the examples covered in this book are written in Java and Spring Boot, the techniques can be applied to apps built using other technologies too. By the end of this Skaffold book, you'll develop skills that will help accelerate your inner development loop and be able to build and deploy your apps to the Kubernetes cluster with Skaffold. What you will learnOvercome challenges faced while working in an inner development loop using SkaffoldAccelerate your development workflow using SkaffoldUnderstand Skaffold's architecture, internal working, and supported CLI commandsBuild and deploy containers to Kubernetes using the Skaffold CLI and Cloud CodeDeploy Spring Boot applications to fully managed Kubernetes services such as Google Kubernetes Engine using SkaffoldExplore best practices for developing an app with SkaffoldAvoid common pitfalls when developing cloud-native apps with Skaffold in KubernetesWho this book is for Cloud-native application developers, software engineers working with Kubernetes, and DevOps professionals who are looking for a solution to simplify and improve their software development life cycle will find this book useful. Beginner-level knowledge of Docker, Kubernetes, and the container ecosystem is required to get started with this book.

A must-have Kubernetes book to learn key concepts for succeeding in any production environment, be it a greenfield Kubernetes environment or your cloud-native journey Key FeaturesAdvance in your Kubernetes journey with guidance from a seasoned k8s practitioner and trainerDiscover best practices for implementing Kubernetes in any production environmentGo beyond the basics and work with Kubernetes applications in every environmentBook Description Kubernetes is a trending topic among engineers, CTOs, CIOs, and other technically sound professionals. Due to its proliferation and importance for all cloud technologies, DevOps engineers nowadays need a solid grasp of key Kubernetes concepts to help their organization thrive. This book equips you with all the requisite information about how Kubernetes works and how to use it for the best results. You'll learn everything from why cloud native is important to implementing Kubernetes clusters to deploying applications in production. This book takes you on a learning journey, starting from what cloud native is and how to get started with Kubernetes in the cloud, on-premises, and PaaS environments such as OpenShift. Next, you'll learn about deploying applications in many ways, including Deployment specs, Ingress Specs, and StatefulSet specs. Finally, you'll be comfortable working with Kubernetes monitoring, observability, and security. Each chapter of 50 Kubernetes Concepts Every DevOps Engineer Should Know is built upon the previous chapter, ensuring that you develop practical skills as you work through the code examples in GitHub, allowing you to follow along while giving you practical knowledge. By the end of this book, you'll be able to implement Kubernetes in any environment, whether it's an existing environment, a greenfield environment, or your very own lab running in the cloud or your home. What you will learnFind out how Kubernetes works on-premises, in the cloud, and in PaaS environmentsWork with networking, cluster management, and application deploymentUnderstand why cloud native is crucial for Kubernetes applicationsDeploy apps in different states, including Stateless and StatefulMonitor and implement observability in your environmentExplore the functioning of Kubernetes security at the cluster, user, and application levelWho this book is for This book is for cloud engineers, developers, DevOps engineers, and infrastructure engineers responsible for inheriting a Kubernetes environment or creating a greenfield Kubernetes environment. If you are a professional who wants to get started with cloud-native applications and implement k8s best practices, then this book is a must-read. If you have engineered environments in the cloud and on-premises and understand how to deploy applications with a solid tenure in a developer role, this book will help you further your skills.

Enhance DevOps workflows by integrating the functionalities of Git, Docker, Kubernetes, Argo CD, Ansible, Terraform, Istio, and more with the help of practical examples and expert tips Key Features Explore containers as a service (CaaS) and infrastructure automation in the public cloud Secure and ship software continuously to production with DevOps, GitOps, SecOps, and automation Operate distributed and scalable microservices apps in the cloud with a modern service mesh Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDevOps and the cloud have changed how we look at software development and operations like never before, leading to the rapid growth of various DevOps tools, techniques, and practices. This updated edition helps you pick up the right tools by providing you with everything you need to get started with your DevOps journey. The book begins by introducing you to modern cloud-native architecture, and then teaches you about the architectural concepts needed to implement the modern way of application development. The next set of chapters helps you get familiarized with Git, Docker, Kubernetes, Ansible, Terraform, Packer, and other similar tools to enable you to build a base. As you advance, you’ll explore the core elements of cloud integration—AWS ECS, GKE, and other CaaS services. The chapters also discuss GitOps, continuous integration, and continuous delivery—GitHub actions, Jenkins, and Argo CD—to help you understand the essence of modern app delivery. Later, you’ll operate your container app in production using a service mesh and apply AI in DevOps. Throughout the book, you’ll discover best practices for automating and managing your development lifecycle, infrastructure, containers, and more. By the end of this DevOps book, you'll be well-equipped to develop and operate applications using modern tools and techniques.What you will learn Explore modern DevOps practices with Git and GitOps Master container fundamentals with Docker and Kubernetes Become well versed in AWS ECS, Google Cloud Run, and Knative Discover how to efficiently build and manage secure Docker images Understand continuous integration with Jenkins on Kubernetes and GitHub Actions Get to grips with using Argo CD for continuous deployment and delivery Manage immutable infrastructure on the cloud with Packer, Terraform, and Ansible Operate container applications in production using Istio and learn about AI in DevOps Who this book is for If you are a software engineer, system administrator, or operations engineer looking to step into the world of DevOps within public cloud platforms, this book is for you. Existing DevOps engineers will also find this book helpful as it covers best practices, tips, and tricks for implementing DevOps with a cloud-native mindset. Although no containerization experience is necessary, a basic understanding of the software development life cycle and delivery will help you get the most out of this book.

Learn how to best use GitOps to automate manual tasks in the continuous delivery and deployment process Key FeaturesExplore the different GitOps schools of thought and understand which GitOps practices will work for you and your teamGet up and running with the fundamentals of GitOps implementationUnderstand how to effectively automate the deployment and delivery processBook Description The world of software delivery and deployment has come a long way in the last few decades. From waterfall methods to Agile practices, every company that develops its own software has to overcome various challenges in delivery and deployment to meet customer and market demands. This book will guide you through common industry practices for software delivery and deployment. Throughout the book, you'll follow the journey of a DevOps team that matures their software release process from quarterly deployments to continuous delivery using GitOps. With the help of hands-on tutorials, projects, and self-assessment questions, you'll build your knowledge of GitOps basics, different types of GitOps practices, and how to decide which GitOps practice is the best for your company. As you progress, you'll cover everything from building declarative language files to the pitfalls in performing continuous deployment with GitOps. By the end of this book, you'll be well-versed with the fundamentals of delivery and deployment, the different schools of GitOps, and how to best leverage GitOps in your teams. What you will learnExplore a variety of common industry tools for GitOpsUnderstand continuous deployment, continuous delivery, and why they are importantGain a practical understanding of using GitOps as an engineering organizationBecome well-versed with using GitOps and Kubernetes togetherLeverage Git events for automated deploymentsImplement GitOps best practices and find out how to avoid GitOps pitfallsWho this book is for This book is for engineering leaders and anyone working in software engineering, DevOps, SRE, build/release, or cloud automation teams. A basic understanding of the DevOps software development life cycle (SDLC) will help you to get the most out of this book.