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Why are so many companies adopting GitOps for their DevOps and cloud native strategy? This reliable framework is quickly becoming the standard method for deploying apps to Kubernetes. With this practical, developer-oriented book, DevOps engineers, developers, IT architects, and SREs will learn the most useful recipes and examples for following GitOps practices. Through their years of experience in application modernization, CI/CD, and automation, authors Alex Soto Bueno and Natale Vinto from Red Hat walk you through all the steps necessary for successful hands-on application development and deployment with GitOps. Once you start using the recipes in this book, you'll have a head start in development cycles on Kubernetes following the GitOps approach. You'll learn how to: Develop and deploy applications on Kubernetes Understand the basics of CI/CD and automation on Kubernetes, and apply GitOps practices to implement development cycles on the platform Prepare the app for deployment on multiple environments and/or multiple Kubernetes clusters Deploy apps for either multiple environments using GitOps and Argo CD, or for Kubernetes clusters Create Kubernetes-native pipelines with Tekton Provide and extend DevOps skills for the team working on Kubernetes Use progressive delivery to put your applications into production
Part 1. Background. 1. Why GitOps? -- 2. Kubernetes and GitOps -- Part 2. Patterns and processes. 3. Environment management -- 4. Pipelines -- 5. Deployment strategies -- 6. Access control and security -- 7. Secrets -- 8. Observability -- Part 3. Tools. 9. Argo CD -- 10. Jenkins X -- 11. Flux.
How to plan, design, manage, build, and run monoliths and microservices in an agnostic, scalable, and highly available cloud-native architecture with Kubernetes KEY FEATURES ● Learn about cloud computing's origins and business motivations, exploring various interpretations emphasizing flexibility, integration, and efficiency. ● Establish a plan for cloud success, focusing on culture, teamwork, skill development, and adapting organizational processes like Agile and DevOps. ● Utilize this plan to develop and manage cloud-based applications securely and efficiently on Kubernetes for optimal performance. DESCRIPTION The book “Cloud Native Architecture” explains how to plan, manage, build, and run monoliths and microservices in an agnostic, scalable, and highly available cloud-native runtime such as Kubernetes. This is done by effectively applying DevOps principles through the tactical use of CNCF tools. You will start by learning about cloud-native technology's history and business reasons. This will help you understand its five key pillars: open-source, containers, distributed architectures, operational benefits, and DevOps integration. We will introduce a framework for adopting cloud-native best practices, focusing on technical and cultural changes. You will learn how to adapt processes like DevOps, Chaos Engineering, Automation, and API First. We will cover automating infrastructure with tools like Prometheus and Grafana, using Kubernetes for container management, and designing applications with microservices. Practical exercises will include setting up CI/CD pipelines with Jenkins and ensuring Kubernetes security. By the end of this book, you will be empowered to navigate the Cloud-Native landscape confidently, equipped with the knowledge and practical skills to design, develop, deploy, and migrate applications for the modern cloud era. WHAT YOU WILL LEARN ● Learn about cloud native's background and its impact on culture and processes. ● Understand Kubernetes concepts, components, and best practices with an agnostic framework. ● Design and build monoliths incrementally on Kubernetes following twelve-factor app principles. ● Transition from monoliths to microservices using specific tools for lifecycle management. ● Address Kubernetes security during application development and deployment. WHO THIS BOOK IS FOR This book is for developers, architects, and solution consultants who are now exploring cloud-native architecture principles for design and development with Agile and DevOps to modernize existing applications or create brand-new cloud-native products. TABLE OF CONTENTS 1. History and Business Drivers 2. Five Different Cloud Native Perspectives 3. The Cultural Shift Introducing a Framework to Succeed 4. People: Who is Doing What 5. Processes: How Should We Do It 6. Technology: Where Are We Running It 7. Technology: What Are We Building 8. Technology: Transition from Monolith to Microservices 9. Technology: Addressing Kubernetes Security
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.
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.
Automate, scale, and secure your DevOps workflows like a pro KEY FEATURES ● Master automation tools like Terraform, Ansible, Git, Jenkins, and more. ● Practical recipes for CI/CD pipelines, IaC, testing, and security. ● Leverage best practices to optimize and scale your DevOps processes. DESCRIPTION In the fast-paced world of software development, embracing DevOps practices is key to achieving rapid, reliable deployments. The DevOps Automation Cookbook equips you with a comprehensive toolkit to automate and streamline your workflows, from infrastructure provisioning to continuous integration and deployment. This book teaches readers how to automate infrastructure setup and deployment using IaC tools like Terraform and Ansible. It covers essential DevOps practices such as version control with Git, continuous integration with Jenkins or Travis, and automated testing with Selenium. The book also explains containerization with Docker and orchestration with Kubernetes for efficient app deployment. It highlights DevSecOps, focusing on security with Puppet, and explores using TeamCity for enforcing compliance policies in the DevOps workflow. Whether you are a seasoned DevOps practitioner or just starting your journey, the DevOps Automation Cookbook provides the insights and hands-on skills you need to take your automation game to the next level. Discover how to optimize your processes, scale your infrastructure, and deliver high-quality software faster than ever before. WHAT YOU WILL LEARN ● Automate infrastructure provisioning with Terraform and Ansible. ● Implement version control and collaboration with Git. ● Set up efficient CI/CD pipelines using Jenkins. ● Leverage containers with Docker and orchestrate with Kubernetes. ● Integrate automated testing and security into DevOps workflows. ● Apply configuration management using Puppet and Chef. WHO THIS BOOK IS FOR This book is for DevOps engineers, system administrators, and software developers seeking to automate infrastructure provisioning, deployment, and security within their workflows. TABLE OF CONTENTS 1. Introduction 2. Understanding Infrastructure as Code 3. Provisioning with Terraform 4. Version Control with Git 5. Introduction to Continuous Integration with Jenkins and Travis 6. Automated Testing in DevOps 7. Test Automation with Selenium 8. Understanding Containers and Orchestration 9. Deployment with Docker and Kubernetes 10. Introduction to Security in DevOps 11. Puppet and Security 12. Configuration Management with Chef 13. Ensuring Compliance with TeamCity 14. Implications and Future Directions
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.
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
A step-by-step guide to building microservices using Python and Docker, along with managing and orchestrating them with Kubernetes Key FeaturesLearn to use Docker containers to create, operate, and deploy your microservicesCreate workflows to manage independent deployments on coordinating services using CI and GitOps through GitHub, Travis CI, and FluxDevelop a REST microservice in Python using the Flask framework and Postgres databaseBook Description Microservices architecture helps create complex systems with multiple, interconnected services that can be maintained by independent teams working in parallel. This book guides you on how to develop these complex systems with the help of containers. You’ll start by learning to design an efficient strategy for migrating a legacy monolithic system to microservices. You’ll build a RESTful microservice with Python and learn how to encapsulate the code for the services into a container using Docker. While developing the services, you’ll understand how to use tools such as GitHub and Travis CI to ensure continuous delivery (CD) and continuous integration (CI). As the systems become complex and grow in size, you’ll be introduced to Kubernetes and explore how to orchestrate a system of containers while managing multiple services. Next, you’ll configure Kubernetes clusters for production-ready environments and secure them for reliable deployments. In the concluding chapters, you’ll learn how to detect and debug critical problems with the help of logs and metrics. Finally, you’ll discover a variety of strategies for working with multiple teams dealing with different microservices for effective collaboration. By the end of this book, you’ll be able to build production-grade microservices as well as orchestrate a complex system of services using containers. What you will learnDiscover how to design, test, and operate scalable microservicesCoordinate and deploy different services using KubernetesUse Docker to construct scalable and manageable applications with microservicesUnderstand how to monitor a complete system to ensure early detection of problemsBecome well versed with migrating from an existing monolithic system to a microservice oneUse load balancing to ensure seamless operation between the old monolith and the new serviceWho this book is for This book is for developers, engineers, or software architects who are trying to move away from traditional approaches for building complex multi-service systems by adopting microservices and containers. Although familiarity with Python programming is assumed, no prior knowledge of Docker is required.