Ci Cd Workflow Diagram

  ci cd workflow diagram: Information Security Management Michael Workman, 2021-10-29 Information Security Management, Second Edition arms students with answers to the most critical questions about the fields of cybersecurity. It provides students with references to more in-depth study in areas where they may need to specialize. The Second Edition covers operations—the job of day-to-day cybersecurity tasks—regulations, compliance, laws and policies, research and development, and the creation of software and cyber defenses for security initiatives. Finally, the text covers advanced R&D involved in strategic aspects of security developments for threats that lay on the horizon.
  ci cd workflow diagram: Pipeline as Code Mohamed Labouardy, 2021-11-23 Start thinking about your development pipeline as a mission-critical application. Discover techniques for implementing code-driven infrastructure and CI/CD workflows using Jenkins, Docker, Terraform, and cloud-native services. In Pipeline as Code, you will master: Building and deploying a Jenkins cluster from scratch Writing pipeline as code for cloud-native applications Automating the deployment of Dockerized and Serverless applications Containerizing applications with Docker and Kubernetes Deploying Jenkins on AWS, GCP and Azure Managing, securing and monitoring a Jenkins cluster in production Key principles for a successful DevOps culture Pipeline as Code is a practical guide to automating your development pipeline in a cloud-native, service-driven world. You’ll use the latest infrastructure-as-code tools like Packer and Terraform to develop reliable CI/CD pipelines for numerous cloud-native applications. Follow this book's insightful best practices, and you’ll soon be delivering software that’s quicker to market, faster to deploy, and with less last-minute production bugs. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Treat your CI/CD pipeline like the real application it is. With the Pipeline as Code approach, you create a collection of scripts that replace the tedious web UI wrapped around most CI/CD systems. Code-driven pipelines are easy to use, modify, and maintain, and your entire CI pipeline becomes more efficient because you directly interact with core components like Jenkins, Terraform, and Docker. About the book In Pipeline as Code you’ll learn to build reliable CI/CD pipelines for cloud-native applications. With Jenkins as the backbone, you’ll programmatically control all the pieces of your pipeline via modern APIs. Hands-on examples include building CI/CD workflows for distributed Kubernetes applications, and serverless functions. By the time you’re finished, you’ll be able to swap manual UI-based adjustments with a fully automated approach! What's inside Build and deploy a Jenkins cluster on scale Write pipeline as code for cloud-native applications Automate the deployment of Dockerized and serverless applications Deploy Jenkins on AWS, GCP, and Azure Grasp key principles of a successful DevOps culture About the reader For developers familiar with Jenkins and Docker. Examples in Go. About the author Mohamed Labouardy is the CTO and co-founder of Crew.work, a Jenkins contributor, and a DevSecOps evangelist. Table of Contents PART 1 GETTING STARTED WITH JENKINS 1 What’s CI/CD? 2 Pipeline as code with Jenkins PART 2 OPERATING A SELF-HEALING JENKINS CLUSTER 3 Defining Jenkins architecture 4 Baking machine images with Packer 5 Discovering Jenkins as code with Terraform 6 Deploying HA Jenkins on multiple cloud providers PART 3 HANDS-ON CI/CD PIPELINES 7 Defining a pipeline as code for microservices 8 Running automated tests with Jenkins 9 Building Docker images within a CI pipeline 10 Cloud-native applications on Docker Swarm 11 Dockerized microservices on K8s 12 Lambda-based serverless functions PART 4 MANAGING, SCALING, AND MONITORING JENKINS 13 Collecting continuous delivery metrics 14 Jenkins administration and best practices
  ci cd workflow diagram: Software Architecture Bedir Tekinerdogan, Catia Trubiani, Chouki Tibermacine, Patrizia Scandurra, Carlos E. Cuesta, 2023-09-07 This book constitutes the refereed proceedings of the 17th International Conference on Software Architecture, ECSA 2023, held in Istanbul, Turkey, in September 2023. The 16 full papers and the 9 short papers included in this volume were carefully reviewed and selected from 71 submissions. They address the most recent, innovative, and significant findings and experiences in the field of software architecture research and practice.
  ci cd workflow diagram: Implementing CI/CD Using Azure Pipelines Piti Champeethong, Roberto Mardeni, 2023-12-28 Leverage Azure Pipelines to build, test, monitor, and deploy CI/CD solutions on Azure, AWS, and Flutter mobile apps while integrating with tools like Jenkins and SonarQube using best practices Key Features Develop automated end-to-end CI/CD solutions with Azure Pipelines Learn how to implement and configure your pipeline using real-world examples and scenarios Gain the skills you need to efficiently develop and deploy your organization’s software Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionContinuous integration and continuous delivery (CI/CD) are ubiquitous concepts in modern development. Azure Pipelines is one of the most popular services that you can utilize for CI/CD, and this book shows you how it works by taking you through the process of building and automating CI/CD systems using Azure Pipelines and YAML, simplifying integration with Azure resources and reducing human error. You’ll begin by getting an overview of Azure Pipelines and why you should use it. Next, the book helps you get to grips with build and release pipelines, and then builds upon this by introducing the extensive power of YAML syntax, which you can use to implement and configure any task you can think of. As you advance, you’ll discover how to integrate Infrastructure as Code tools, such as Terraform, and perform code analysis with SonarQube. In the concluding chapters, you’ll delve into real-life scenarios and hands-on implementation tasks with Microsoft Azure services, AWS, and cross-mobile application with Flutter, Google Firebase, and more. By the end of this book, you’ll be able to design and build CI/CD systems using Azure Pipelines with consummate ease, write code using YAML, and configure any task that comes to mind.What you will learn Create multiple jobs, stages, and tasks on the Azure DevOps portal Use YAML syntax for Node.js, .NET, Docker, and SQL Server tasks Automate microservice applications on Azure Kubernetes Service (AKS) clusters Deploy Docker applications on AWS container services Use SonarQube and Jenkins for security and artifacts Implement CI/CD on Flutter-based mobile applications Utilize Azure Key Vault secrets in Azure Pipelines Build a Node.js application in Azure Container Instances Who this book is for This book is for DevOps engineers, release engineers, SREs, application developers, and sysadmins looking to manage CI/CD using Azure Pipelines with the help of real-world use cases. A clear understanding of cloud computing services on Azure and AWS, DevOps, and CI/CD concepts, along with knowledge of building and deploying web and mobile applications automatically on cloud is assumed.
  ci cd workflow diagram: Modern DevOps Practices Gaurav Agarwal, 2024-01-12 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.
  ci cd workflow diagram: Continuous Delivery Jez Humble, David Farley, 2010-07-27 Winner of the 2011 Jolt Excellence Award! Getting software released to users is often a painful, risky, and time-consuming process. This groundbreaking new book sets out the principles and technical practices that enable rapid, incremental delivery of high quality, valuable new functionality to users. Through automation of the build, deployment, and testing process, and improved collaboration between developers, testers, and operations, delivery teams can get changes released in a matter of hours— sometimes even minutes–no matter what the size of a project or the complexity of its code base. Jez Humble and David Farley begin by presenting the foundations of a rapid, reliable, low-risk delivery process. Next, they introduce the “deployment pipeline,” an automated process for managing all changes, from check-in to release. Finally, they discuss the “ecosystem” needed to support continuous delivery, from infrastructure, data and configuration management to governance. The authors introduce state-of-the-art techniques, including automated infrastructure management and data migration, and the use of virtualization. For each, they review key issues, identify best practices, and demonstrate how to mitigate risks. Coverage includes • Automating all facets of building, integrating, testing, and deploying software • Implementing deployment pipelines at team and organizational levels • Improving collaboration between developers, testers, and operations • Developing features incrementally on large and distributed teams • Implementing an effective configuration management strategy • Automating acceptance testing, from analysis to implementation • Testing capacity and other non-functional requirements • Implementing continuous deployment and zero-downtime releases • Managing infrastructure, data, components and dependencies • Navigating risk management, compliance, and auditing Whether you’re a developer, systems administrator, tester, or manager, this book will help your organization move from idea to release faster than ever—so you can deliver value to your business rapidly and reliably.
  ci cd workflow diagram: Learning DevOps Mikael Krief, 2022-03-31 Implement modern DevOps techniques to increase business productivity, agility, reliability, security, and scalability Key FeaturesLearn how to use business resources effectively for improved productivity and collaborationUse infrastructure as code practices to build large-scale cloud infrastructureLeverage the ultimate open source DevOps tools to achieve continuous integration and continuous delivery (CI/CD)Book Description In the implementation of DevOps processes, the choice of tools is crucial to the sustainability of projects and collaboration between developers and ops. This book presents the different patterns and tools for provisioning and configuring an infrastructure in the cloud, covering mostly open source tools with a large community contribution, such as Terraform, Ansible, and Packer, which are assets for automation. This DevOps book will show you how to containerize your applications with Docker and Kubernetes and walk you through the construction of DevOps pipelines in Jenkins as well as Azure pipelines before covering the tools and importance of testing. You'll find a complete chapter on DevOps practices and tooling for open source projects before getting to grips with security integration in DevOps using Inspec, Hashicorp Vault, and Azure Secure DevOps kit. You'll also learn about the reduction of downtime with blue-green deployment and feature flags techniques before finally covering common DevOps best practices for all your projects. By the end of this book, you'll have built a solid foundation in DevOps and developed the skills necessary to enhance a traditional software delivery process using modern software delivery tools and techniques. What you will learnUnderstand the basics of infrastructure as code patterns and practicesGet an overview of Git command and Git flowInstall and write Packer, Terraform, and Ansible code for provisioning and configuring cloud infrastructure based on Azure examplesUse Vagrant to create a local development environmentContainerize applications with Docker and KubernetesApply DevSecOps for testing compliance and securing DevOps infrastructureBuild DevOps CI/CD pipelines with Jenkins, Azure Pipelines, and GitLab CIExplore blue-green deployment and DevOps practices for open sources projectsWho this book is for If you are an application developer or a system administrator interested in understanding continuous integration, continuous delivery, and containerization with DevOps tools and techniques, this book is for you. Knowledge of DevOps fundamentals and Git principles is required.
  ci cd workflow diagram: Tech Leadership Playbook Alexsandro Souza,
  ci cd workflow diagram: Building ETL Pipelines with Python Brij Kishore Pandey, Emily Ro Schoof, 2023-09-29 Develop production-ready ETL pipelines by leveraging Python libraries and deploying them for suitable use cases Key Features Understand how to set up a Python virtual environment with PyCharm Learn functional and object-oriented approaches to create ETL pipelines Create robust CI/CD processes for ETL pipelines Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionModern extract, transform, and load (ETL) pipelines for data engineering have favored the Python language for its broad range of uses and a large assortment of tools, applications, and open source components. With its simplicity and extensive library support, Python has emerged as the undisputed choice for data processing. In this book, you’ll walk through the end-to-end process of ETL data pipeline development, starting with an introduction to the fundamentals of data pipelines and establishing a Python development environment to create pipelines. Once you've explored the ETL pipeline design principles and ET development process, you'll be equipped to design custom ETL pipelines. Next, you'll get to grips with the steps in the ETL process, which involves extracting valuable data; performing transformations, through cleaning, manipulation, and ensuring data integrity; and ultimately loading the processed data into storage systems. You’ll also review several ETL modules in Python, comparing their pros and cons when building data pipelines and leveraging cloud tools, such as AWS, to create scalable data pipelines. Lastly, you’ll learn about the concept of test-driven development for ETL pipelines to ensure safe deployments. By the end of this book, you’ll have worked on several hands-on examples to create high-performance ETL pipelines to develop robust, scalable, and resilient environments using Python.What you will learn Explore the available libraries and tools to create ETL pipelines using Python Write clean and resilient ETL code in Python that can be extended and easily scaled Understand the best practices and design principles for creating ETL pipelines Orchestrate the ETL process and scale the ETL pipeline effectively Discover tools and services available in AWS for ETL pipelines Understand different testing strategies and implement them with the ETL process Who this book is for If you are a data engineer or software professional looking to create enterprise-level ETL pipelines using Python, this book is for you. Fundamental knowledge of Python is a prerequisite.
  ci cd workflow diagram: Accelerate Nicole Forsgren, PhD, Jez Humble, Gene Kim, 2018-03-27 Winner of the Shingo Publication Award Accelerate your organization to win in the marketplace. How can we apply technology to drive business value? For years, we've been told that the performance of software delivery teams doesn't matter―that it can't provide a competitive advantage to our companies. Through four years of groundbreaking research to include data collected from the State of DevOps reports conducted with Puppet, Dr. Nicole Forsgren, Jez Humble, and Gene Kim set out to find a way to measure software delivery performance―and what drives it―using rigorous statistical methods. This book presents both the findings and the science behind that research, making the information accessible for readers to apply in their own organizations. Readers will discover how to measure the performance of their teams, and what capabilities they should invest in to drive higher performance. This book is ideal for management at every level.
  ci cd workflow diagram: AWS Certified Machine Learning Study Guide Shreyas Subramanian, Stefan Natu, 2021-11-19 Succeed on the AWS Machine Learning exam or in your next job as a machine learning specialist on the AWS Cloud platform with this hands-on guide As the most popular cloud service in the world today, Amazon Web Services offers a wide range of opportunities for those interested in the development and deployment of artificial intelligence and machine learning business solutions. The AWS Certified Machine Learning Study Guide: Specialty (MLS-CO1) Exam delivers hyper-focused, authoritative instruction for anyone considering the pursuit of the prestigious Amazon Web Services Machine Learning certification or a new career as a machine learning specialist working within the AWS architecture. From exam to interview to your first day on the job, this study guide provides the domain-by-domain specific knowledge you need to build, train, tune, and deploy machine learning models with the AWS Cloud. And with the practice exams and assessments, electronic flashcards, and supplementary online resources that accompany this Study Guide, you’ll be prepared for success in every subject area covered by the exam. You’ll also find: An intuitive and organized layout perfect for anyone taking the exam for the first time or seasoned professionals seeking a refresher on machine learning on the AWS Cloud Authoritative instruction on a widely recognized certification that unlocks countless career opportunities in machine learning and data science Access to the Sybex online learning resources and test bank, with chapter review questions, a full-length practice exam, hundreds of electronic flashcards, and a glossary of key terms AWS Certified Machine Learning Study Guide: Specialty (MLS-CO1) Exam is an indispensable guide for anyone seeking to prepare themselves for success on the AWS Certified Machine Learning Specialty exam or for a job interview in the field of machine learning, or who wishes to improve their skills in the field as they pursue a career in AWS machine learning.
  ci cd workflow diagram: Implementing DevOps with Ansible 2 Jonathan McAllister, 2017-07-21 Leverage the power of Ansible 2 and related tools and scale DevOps processes About This Book Learn how to use Ansible playbooks along with YAML and JINJA to create efficient DevOps solutions Use Ansible to provision and automate Docker containers and images Learn the fundamentals of Continuous Integration and Continuous Delivery and how to leverage Ansible to implement these modern DevOps Learn the fundamentals of creating custom Ansible modules Learn the fundamentals of Ansible Galaxy Follow along step-by-step as we teach you to scale Ansible for your DevOps processes Who This Book Is For If you are a DevOps engineer, administrator, or developer and want to implement the DevOps environment in your organization using Ansible, then this book is for you. What You Will Learn Get to the grips with the fundamentals of Ansible 2.2 and how you can benefit from leveraging Ansible for DevOps. Adapt the DevOps process and learn how Ansible and other tools can be used to automate it. Start automating Continuous Integration and Continuous Delivery tasks using Ansible Maximize the advantages of tools such as Docker, Jenkins, JIRA, and many more to implement the DevOps culture. Integrate DevOps tools with Ansible Extend Ansible using Python and create custom modules that integrate with unique specific technology stacks Connect and control the states of various third-party applications such as GIT, SVN, Artifactory, Nexus, Jira, Hipchat, Slack, Nginx, and others In Detail Thinking about adapting the DevOps culture for your organization using a very simple, yet powerful automation tool, Ansible 2? Then this book is for you! In this book, you will start with the role of Ansible in the DevOps module, which covers fundamental DevOps practices and how Ansible is leveraged by DevOps organizations to implement consistent and simplified configuration management and deployment. You will then move on to the next module, Ansible with DevOps, where you will understand Ansible fundamentals and how Ansible Playbooks can be used for simple configuration management and deployment tasks. After simpler tasks, you will move on to the third module, Ansible Syntax and Playbook Development, where you will learn advanced configuration management implementations, and use Ansible Vault to secure top-secret information in your organization. In this module, you will also learn about popular DevOps tools and the support that Ansible provides for them (MYSQL, NGINX, APACHE and so on). The last module, Scaling Ansible for the enterprise, is where you will integrate Ansible with CI and CD solutions and provision Docker containers using Ansible. By the end of the book you will have learned to use Ansible to leverage your DevOps tasks. Style and approach A step-by-step guide to automating all DevOps stages with ease using Ansible
  ci cd workflow diagram: Building Distributed Applications in Gin Mohamed Labouardy, 2021-07-23 An effective guide to learning how to build a large-scale distributed application using the wide range of functionalities in Gin Key FeaturesExplore the commonly used functionalities of Gin to build web applicationsBecome well-versed with rendering HTML templates with the Gin engineSolve commonly occurring challenges such as scaling, caching, and deploymentBook Description Gin is a high-performance HTTP web framework used to build web applications and microservices in Go. This book is designed to teach you the ins and outs of the Gin framework with the help of practical examples. You'll start by exploring the basics of the Gin framework, before progressing to build a real-world RESTful API. Along the way, you'll learn how to write custom middleware and understand the routing mechanism, as well as how to bind user data and validate incoming HTTP requests. The book also demonstrates how to store and retrieve data at scale with a NoSQL database such as MongoDB, and how to implement a caching layer with Redis. Next, you'll understand how to secure and test your API endpoints with authentication protocols such as OAuth 2 and JWT. Later chapters will guide you through rendering HTML templates on the server-side and building a frontend application with the React web framework to consume API responses. Finally, you'll deploy your application on Amazon Web Services (AWS) and learn how to automate the deployment process with a continuous integration/continuous delivery (CI/CD) pipeline. By the end of this Gin book, you will be able to design, build, and deploy a production-ready distributed application from scratch using the Gin framework. What you will learnBuild a production-ready REST API with the Gin frameworkScale web applications with event-driven architectureUse NoSQL databases for data persistenceSet up authentication middleware with JWT and Auth0Deploy a Gin-based RESTful API on AWS with Docker and KubernetesImplement a CI/CD workflow for Gin web appsWho this book is for This book is for Go developers who are comfortable with the Go language and seeking to learn REST API design and development with the Gin framework. Beginner-level knowledge of the Go programming language is required to make the most of this book.
  ci cd workflow diagram: Enterprise AI in the Cloud Rabi Jay, 2023-12-20 Embrace emerging AI trends and integrate your operations with cutting-edge solutions Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions is an indispensable resource for professionals and companies who want to bring new AI technologies like generative AI, ChatGPT, and machine learning (ML) into their suite of cloud-based solutions. If you want to set up AI platforms in the cloud quickly and confidently and drive your business forward with the power of AI, this book is the ultimate go-to guide. The author shows you how to start an enterprise-wide AI transformation effort, taking you all the way through to implementation, with clearly defined processes, numerous examples, and hands-on exercises. You’ll also discover best practices on optimizing cloud infrastructure for scalability and automation. Enterprise AI in the Cloud helps you gain a solid understanding of: AI-First Strategy: Adopt a comprehensive approach to implementing corporate AI systems in the cloud and at scale, using an AI-First strategy to drive innovation State-of-the-Art Use Cases: Learn from emerging AI/ML use cases, such as ChatGPT, VR/AR, blockchain, metaverse, hyper-automation, generative AI, transformer models, Keras, TensorFlow in the cloud, and quantum machine learning Platform Scalability and MLOps (ML Operations): Select the ideal cloud platform and adopt best practices on optimizing cloud infrastructure for scalability and automation AWS, Azure, Google ML: Understand the machine learning lifecycle, from framing problems to deploying models and beyond, leveraging the full power of Azure, AWS, and Google Cloud platforms AI-Driven Innovation Excellence: Get practical advice on identifying potential use cases, developing a winning AI strategy and portfolio, and driving an innovation culture Ethical and Trustworthy AI Mastery: Implement Responsible AI by avoiding common risks while maintaining transparency and ethics Scaling AI Enterprise-Wide: Scale your AI implementation using Strategic Change Management, AI Maturity Models, AI Center of Excellence, and AI Operating Model Whether you're a beginner or an experienced AI or MLOps engineer, business or technology leader, or an AI student or enthusiast, this comprehensive resource empowers you to confidently build and use AI models in production, bridging the gap between proof-of-concept projects and real-world AI deployments. With over 300 review questions, 50 hands-on exercises, templates, and hundreds of best practice tips to guide you through every step of the way, this book is a must-read for anyone seeking to accelerate AI transformation across their enterprise.
  ci cd workflow diagram: Kubernetes – An Enterprise Guide Marc Boorshtein, Scott Surovich, 2024-08-30 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.
  ci cd workflow diagram: Ansible for Real-Life Automation Gineesh Madapparambath, 2022-09-30 Learn how to automate and manage your IT infrastructure and applications using Ansible Key FeaturesDevelop Ansible automation use cases by automating day-to-day IT and application operationsUse Ansible to automate private and public cloud, application containers, and container platformsImprove your DevOps workflow with AnsibleBook Description Get ready to leverage the power of Ansible's wide applicability to automate and manage IT infrastructure with Ansible for Real-Life Automation. This book will guide you in setting up and managing the free and open source automation tool and remote-managed nodes in the production and dev/staging environments. Starting with its installation and deployment, you'll learn automation using simple use cases in your workplace. You'll go beyond just Linux machines to use Ansible to automate Microsoft Windows machines, network devices, and private and public cloud platforms such as VMWare, AWS, and GCP. As you progress through the chapters, you'll integrate Ansible into your DevOps workflow and deal with application container management and container platforms such as Kubernetes. This Ansible book also contains a detailed introduction to Red Hat Ansible Automation Platform to help you get up to speed with Red Hat AAP and integration with CI/CD and ITSM. What's more, you'll implement efficient automation solutions while learning best practices and methods to secure sensitive data using Ansible Vault and alternatives to automate non-supported platforms and operations using raw commands, command modules, and REST API calls. By the end of this book, you'll be proficient in identifying and developing real-life automation use cases using Ansible. What you will learnExplore real-life IT automation use cases and employ Ansible for automationDevelop playbooks with best practices for production environmentsApproach different automation use cases with the most suitable methodsUse Ansible for infrastructure management and automate VMWare, AWS, and GCPIntegrate Ansible with Terraform, Jenkins, OpenShift, and KubernetesManage container platforms such as Kubernetes and OpenShift with AnsibleGet to know the Red Hat Ansible Automation Platform and its capabilitiesWho this book is for This book is for DevOps and systems engineers looking to adopt Ansible as their automation tool. To get started with this book, basic knowledge of Linux is necessary, along with an understanding of how tasks are done the manual way before setting out to automate them.
  ci cd workflow diagram: Learning DevOps Mikael Krief, 2019-10-25 Simplify your DevOps roles with DevOps tools and techniques Key FeaturesLearn to utilize business resources effectively to increase productivity and collaborationLeverage the ultimate open source DevOps tools to achieve continuous integration and continuous delivery (CI/CD)Ensure faster time-to-market by reducing overall lead time and deployment downtimeBook Description The implementation of DevOps processes requires the efficient use of various tools, and the choice of these tools is crucial for the sustainability of projects and collaboration between development (Dev) and operations (Ops). This book presents the different patterns and tools that you can use to provision and configure an infrastructure in the cloud. You'll begin by understanding DevOps culture, the application of DevOps in cloud infrastructure, provisioning with Terraform, configuration with Ansible, and image building with Packer. You'll then be taken through source code versioning with Git and the construction of a DevOps CI/CD pipeline using Jenkins, GitLab CI, and Azure Pipelines. This DevOps handbook will also guide you in containerizing and deploying your applications with Docker and Kubernetes. You'll learn how to reduce deployment downtime with blue-green deployment and the feature flags technique, and study DevOps practices for open source projects. Finally, you'll grasp some best practices for reducing the overall application lead time to ensure faster time to market. By the end of this book, you'll have built a solid foundation in DevOps, and developed the skills necessary to enhance a traditional software delivery process using modern software delivery tools and techniques What you will learnBecome well versed with DevOps culture and its practicesUse Terraform and Packer for cloud infrastructure provisioningImplement Ansible for infrastructure configurationUse basic Git commands and understand the Git flow processBuild a DevOps pipeline with Jenkins, Azure Pipelines, and GitLab CIContainerize your applications with Docker and KubernetesCheck application quality with SonarQube and PostmanProtect DevOps processes and applications using DevSecOps toolsWho this book is for If you are a developer or a system administrator interested in understanding continuous integration, continuous delivery, and containerization with DevOps tools and techniques, this book is for you.
  ci cd workflow diagram: Continuous Integration Paul M. Duvall, Steve Matyas, Andrew Glover, 2007-06-29 For any software developer who has spent days in “integration hell,” cobbling together myriad software components, Continuous Integration: Improving Software Quality and Reducing Risk illustrates how to transform integration from a necessary evil into an everyday part of the development process. The key, as the authors show, is to integrate regularly and often using continuous integration (CI) practices and techniques. The authors first examine the concept of CI and its practices from the ground up and then move on to explore other effective processes performed by CI systems, such as database integration, testing, inspection, deployment, and feedback. Through more than forty CI-related practices using application examples in different languages, readers learn that CI leads to more rapid software development, produces deployable software at every step in the development lifecycle, and reduces the time between defect introduction and detection, saving time and lowering costs. With successful implementation of CI, developers reduce risks and repetitive manual processes, and teams receive better project visibility. The book covers How to make integration a “non-event” on your software development projects How to reduce the amount of repetitive processes you perform when building your software Practices and techniques for using CI effectively with your teams Reducing the risks of late defect discovery, low-quality software, lack of visibility, and lack of deployable software Assessments of different CI servers and related tools on the market The book’s companion Web site, www.integratebutton.com, provides updates and code examples.
  ci cd workflow diagram: Cloud Native Apps on Google Cloud Platform Alasdair Gilchrist, 2022-04-13 Step-by-step guide for developing cloud native apps on GCP powered by hands-on interactive learning KEY FEATURES ● Cutting-edge coverage on Google Cloud Build, Cloud Run, GKE, Kubectl and Anthos. ● Includes tutorials and exercises to learn designing, deploying and running cloud native apps. ● Covers Service Mesh, Apps Optimization, logs monitoring and cloud IAM access. DESCRIPTION The book “Cloud Native Apps on Google Cloud Platform” teaches the readers how to design, construct, and maintain successful cloud-native apps using the Google Cloud Platform. With interactive tutorials, the book reinforces learning and helps to develop practical skills for working in an Agile and DevOps context. The book provides a step-by-step approach to building and managing cloud-native applications on Google Cloud Platform for Google Cloud Users, DevOps teams, and Cloud-Native Developers. First, you will investigate the advantages and applicability of each Google Serverless Computing option. You'll learn about Cloud Build and how to use it to prepare code files, create microservices, and build container images. The book walks readers through creating and running Docker image containers on Cloud Run and App Engine. You'll learn how to use kubectl to create and manage Kubernetes clusters, as well as how to configure the autoscaler for increased resilience and availability. You'll build a pipeline that uses Cloud Build to automate CI/CD and Pub/Sub to ingest streaming data. Finally, you'll have the opportunity to learn about Anthos, which enables you to manage massive GKE clusters in both Cloud and on-premises environments. WHAT YOU WILL LEARN ● Distinguish between using containers or microservices for cloud native apps. ● Build a streaming data pipeline using BigQuery and Dataflow using Pub/Sub. ● Practice to deploy and optimize cloud native applications on Kubernetes Engine. ● Build continuous integration/continuous delivery pipelines and improve Kubernetes apps. ● Learn to protect apps running on GCP from cyberattacks. WHO THIS BOOK IS FOR This book is meant for the Cloud and DevOps professionals and for those who wish to learn about Google Cloud services and incorporate them into end-to-end cloud applications. TABLE OF CONTENTS 1. Introducing Cloud Native Apps 2. Developing Cloud Native Apps with Cloud Shell 3. Preparing Source-Code with Cloud Build 4. Create and Deploy Microservices 5. Building and Deploying Containers in Cloud Build 6. Create a Serverless Pipeline with Pub/Sub, Dataflow and BigQuery 7. Container Orchestration with Google Kubernetes Engine 8. Deploying and Managing Kubernetes Applications 9. Optimizing Kubernetes Cluster and Apps in GKE 10. Deploying a CI/CD Pipeline with Kubernetes and Cloud Build 11. Build a Software Delivery Platform with Anthos 12. Application Management with Anthos 13. Securing Cloud Native Apps in Anthos
  ci cd workflow diagram: Test-Driven Development with Java Alan Mellor, 2023-01-13 Drive development with automated tests and gain the confidence you need to write high-quality software Key Features Get up and running with common design patterns and TDD best practices Learn to apply the rhythms of TDD – arrange, act, assert and red, green, refactor Understand the challenges of implementing TDD in the Java ecosystem and build a plan Book Description Test-driven development enables developers to craft well-designed code and prevent defects. It's a simple yet powerful tool that helps you focus on your code design, while automatically checking that your code works correctly. Mastering TDD will enable you to effectively utilize design patterns and become a proficient software architect. The book begins by explaining the basics of good code and bad code, bursting common myths, and why Test-driven development is crucial. You'll then gradually move toward building a sample application using TDD, where you'll apply the two key rhythms -- red, green, refactor and arrange, act, assert. Next, you'll learn how to bring external systems such as databases under control by using dependency inversion and test doubles. As you advance, you'll delve into advanced design techniques such as SOLID patterns, refactoring, and hexagonal architecture. You'll also balance your use of fast, repeatable unit tests against integration tests using the test pyramid as a guide. The concluding chapters will show you how to implement TDD in real-world use cases and scenarios and develop a modern REST microservice backed by a Postgres database in Java 17. By the end of this book, you'll be thinking differently about how you design code for simplicity and how correctness can be baked in as you go. What you will learn Discover how to write effective test cases in Java Explore how TDD can be incorporated into crafting software Find out how to write reusable and robust code in Java Uncover common myths about TDD and understand its effectiveness Understand the accurate rhythm of implementing TDD Get to grips with the process of refactoring and see how it affects the TDD process Who this book is for This book is for expert Java developers and software architects crafting high-quality software in Java. Test-Driven Development with Java can be picked up by anyone with a strong working experience in Java who is planning to use Test-driven development for their upcoming projects.
  ci cd workflow diagram: Hands-On Continuous Integration and Delivery Jean-Marcel Belmont, 2018-08-29 Understand various tools and practices for building a continuous integration and delivery pipeline effectively Key Features Get up and running with the patterns of continuous integration Learn Jenkins UI for developing plugins and build an effective Jenkins pipeline Automate CI/CD with command-line tools and scripts Book Description Hands-On Continuous Integration and Delivery starts with the fundamentals of continuous integration (CI) and continuous delivery (CD) and where it fits in the DevOps ecosystem. You will explore the importance of stakeholder collaboration as part of CI/CD. As you make your way through the chapters, you will get to grips with Jenkins UI, and learn to install Jenkins on different platforms, add plugins, and write freestyle scripts. Next, you will gain hands-on experience of developing plugins with Jenkins UI, building the Jenkins 2.0 pipeline, and performing Docker integration. In the concluding chapters, you will install Travis CI and Circle CI and carry out scripting, logging, and debugging, helping you to acquire a broad knowledge of CI/CD with Travis CI and CircleCI. By the end of this book, you will have a detailed understanding of best practices for CI/CD systems and be able to implement them with confidence. What you will learn Install Jenkins on multiple operating systems Work with Jenkins freestyle scripts, pipeline syntax, and methodology Explore Travis CI build life cycle events and multiple build languages Master the Travis CI CLI (command-line interface) and automate tasks with the CLI Use CircleCI CLI jobs and work with pipelines Automate tasks using CircleCI CLI and learn to debug and troubleshoot Learn open source tooling such as Git and GitHub Install Docker and learn concepts in shell scripting Who this book is for Hands-On Continuous Integration and Delivery is for system administrators, DevOps engineers, and build and release engineers who want to understand the concept of CI and gain hands-on experience working with prominent tools in the CI ecosystem. Basic knowledge of software delivery is an added advantage.
  ci cd workflow diagram: HashiCorp Infrastructure Automation Certification Guide Ravi Mishra, 2021-07-15 Leverage Terraform's capabilities to reuse code, write modules, automate deployments, and manage infrastructure state Key FeaturesPerform complex enterprise-grade infrastructure deployments using Terraform v1.0, the latest version of TerraformLearn to scale your infrastructure without introducing added deployment complexitiesUnderstand how to overcome infrastructure deployment challengesBook Description Terraform is a highly sought-after technology for orchestrating infrastructure provisioning. This book is a complete reference guide to enhancing your infrastructure automation skills, offering up-to-date coverage of the HashiCorp infrastructure automation certification exam. This book is written in a clear and practical way with self-assessment questions and mock exams that will help you from a HashiCorp infrastructure automation certification exam perspective. This book covers end-to-end activities with Terraform, such as installation, writing its configuration file, Terraform modules, backend configurations, data sources, and infrastructure provisioning. You'll also get to grips with complex enterprise infrastructures and discover how to create thousands of resources with a single click. As you advance, you'll get a clear understanding of maintaining infrastructure as code (IaC) in Repo/GitHub, along with learning how to create, modify, and remove infrastructure resources as and when needed. Finally, you'll learn about Terraform Cloud and Enterprise and their enhanced features. By the end of this book, you'll have a handy, up-to-date desktop reference guide along with everything you need to pass the HashiCorp Certified: Terraform Associate exam with confidence. What you will learnEffectively maintain the life cycle of your infrastructure using Terraform 1.0Reuse Terraform code to provision any cloud infrastructureWrite Terraform modules on multiple cloud providersUse Terraform workflows with the Azure DevOps pipelineWrite Terraform configuration files for AWS, Azure, and Google CloudDiscover ways to securely store Terraform state filesUnderstand Policy as Code using Terraform SentinelGain an overview of Terraform Cloud and Terraform EnterpriseWho this book is for This book is for experienced cloud engineers, DevOps engineers, system administrators, and solution architects interested in developing industry-grade skills with Terraform. You will also find this book useful if you want to pass the HashiCorp Certified: Terraform Associate exam. Basic command-line skills and prior knowledge of cloud environments and their services are required before getting started with this book.
  ci cd workflow diagram: Automating DevOps with GitLab CI/CD Pipelines Christopher Cowell, Nicholas Lotz, Chris Timberlake, 2023-02-24 Use GitLab CI/CD pipelines for automating and deploying different steps of your software development lifecycle using best practices and troubleshooting methods. Key Features Reap the power of GitLab CI/CD pipelines at every stage of your software development lifecycle Learn how GitLab makes Git easier to use and more powerful when committing and reviewing code Cement your understanding using hands-on tutorials and extensive self-assessment exercises Purchase of the print or Kindle book includes a free eBook in the PDF format Book DescriptionDevelopers and release engineers understand the high stakes involved in building, packaging, and deploying code correctly. Ensuring that your code is functionally correct, fast, and secure is a time-consuming and complex task. Code implementation, development, and deployment can be conducted efficiently using GitLab CI/CD pipelines. Automating DevOps with GitLab CI/CD Pipelines begins with the basics of Git and GitLab, showing how to commit and review code. You’ll learn to set up GitLab Runners for executing and autoscaling CI/CD pipelines and creating and configuring pipelines for many software development lifecycle steps. You'll also discover where to find pipeline results in GitLab, and how to interpret those results. Through the course of the book, you’ll become well-equipped with deploying code to different environments, advancing CI/CD pipeline features such as connecting GitLab to a Kubernetes cluster and using GitLab with Terraform, triggering pipelines and improving pipeline performance and using best practices and troubleshooting tips for uncooperative pipelines. In-text examples, use cases, and self-assessments will reinforce the important CI/CD, GitLab, and Git concepts, and help you prepare for interviews and certification exams related to GitLab. By the end of this book, you'll be able to use GitLab to build CI/CD pipelines that automate all the DevOps steps needed to build and deploy high-quality, secure code.What you will learn Gain insights into the essentials of Git, GitLab, and DevOps Understand how to create, view, and run GitLab CI/CD pipelines Explore how to verify, secure, and deploy code with GitLab CI/CD pipelines Configure and use GitLab Runners to execute CI/CD pipelines Explore advanced GitLab CI/CD pipeline features like DAGs and conditional logic Follow best practices and troubleshooting methods of GitLab CI/CD pipelines Implement end-to-end software development lifecycle workflows using examples Who this book is for This book is for DevOps/DevSecOps engineers, application developers, release engineers, quality assurance engineers, security engineers, SREs, and sysadmins looking to implement fast, secure and automated software development lifecycle tasks using continuous integration and continuous delivery (CI/CD) pipelines in GitLab. Basic knowledge of major stages of the software development life cycle and DevOps processes will be helpful.
  ci cd workflow diagram: DevOps with Kubernetes Hideto Saito, Hui-Chuan Chloe Lee, Cheng-Yang Wu, 2017-10-16 Learn to implement DevOps using Docker & Kubernetes. About This Book Learning DevOps, container, and Kubernetes within one book. Leverage Kubernetes as a platform to deploy, scale, and run containers efficiently. A practical guide towards container management and orchestration Who This Book Is For This book is targeted for anyone, who wants to learn containerization and clustering in a practical way using Kubernetes. No prerequisite skills required, however, essential DevOps skill and public/private Cloud knowledge will accelerate the reading speed. If you're advanced readers, you can also get a deeper understanding of all the tools and technique described in the book. What You Will Learn Learn fundamental and advanced DevOps skills and tools Get a comprehensive understanding for container Learn how to move your application to container world Learn how to manipulate your application by Kubernetes Learn how to work with Kubernetes in popular public cloud Improve time to market with Kubernetes and Continuous Delivery Learn how to monitor, log, and troubleshoot your application with Kubernetes In Detail Containerization is said to be the best way to implement DevOps. Google developed Kubernetes, which orchestrates containers efficiently and is considered the frontrunner in container orchestration. Kubernetes is an orchestrator that creates and manages your containers on clusters of servers. This book will guide you from simply deploying a container to administrate a Kubernetes cluster, and then you will learn how to do monitoring, logging, and continuous deployment in DevOps. The initial stages of the book will introduce the fundamental DevOps and the concept of containers. It will move on to how to containerize applications and deploy them into. The book will then introduce networks in Kubernetes. We then move on to advanced DevOps skills such as monitoring, logging, and continuous deployment in Kubernetes. It will proceed to introduce permission control for Kubernetes resources via attribute-based access control and role-based access control. The final stage of the book will cover deploying and managing your container clusters on the popular public cloud Amazon Web Services and Google Cloud Platform. At the end of the book, other orchestration frameworks, such as Docker Swarm mode, Amazon ECS, and Apache Mesos will be discussed. Style and approach Readers will be taken through fundamental DevOps skills and Kubernetes concept and administration with detailed examples. It introduces comprehensive DevOps topics, including microservices, automation tools, containers, monitoring, logging, continuous delivery, and popular public cloud environments. At each step readers will learn how to leverage Kubernetes in their everyday lives and transform their original delivery pipeline for fast and efficient delivery.
  ci cd workflow diagram: Docker Certified Associate (DCA): Exam Guide Francisco Javier Ramirez Urea, 2020-09-28 Pass the DCA exam and enhance your DevOps skills by achieving faster deployments, reduced downtime, and continuous integration and continuous delivery Key FeaturesStrengthen your knowledge of container fundamentals and exploit Docker networking, storage, and image managementLeverage Docker Swarm to deploy and scale applications in a clusterBuild your Docker skills with the help of sample questions and mock testsBook Description Developers have changed their deployment artifacts from application binaries to container images, and they now need to build container-based applications as containers are part of their new development workflow. This Docker book is designed to help you learn about the management and administrative tasks of the Containers as a Service (CaaS) platform. The book starts by getting you up and running with the key concepts of containers and microservices. You'll then cover different orchestration strategies and environments, along with exploring the Docker Enterprise platform. As you advance, the book will show you how to deploy secure, production-ready, container-based applications in Docker Enterprise environments. Later, you'll delve into each Docker Enterprise component and learn all about CaaS management. Throughout the book, you'll encounter important exam-specific topics, along with sample questions and detailed answers that will help you prepare effectively for the exam. By the end of this Docker containers book, you'll have learned how to efficiently deploy and manage container-based environments in production, and you will have the skills and knowledge you need to pass the DCA exam. What you will learnUnderstand the key concepts of containerization and its advantagesDiscover how to build secure images and run customized Docker containersExplore orchestration with Docker Swarm and KubernetesBecome well versed with networking and application publishing methodsUnderstand the Docker container runtime environment and customizationsDeploy services on Docker Enterprise with Universal Control PlaneGet to grips with effectively managing images using Docker Trusted RegistryWho this book is for If you are a system administrator, a developer, a DevOps engineer, or any professional interested in enhancing your career portfolio by gaining Docker certification, this book is for you. In order to understand container networking and the use of load balancers and proxies to provide a full-featured Containers-as-a-Service environment, Linux and Windows user knowledge with some networking skills will be necessary.
  ci cd workflow diagram: GitOps and Kubernetes Billy Yuen, Alex Matyushentsev, Jesse Suen, Todd Ekenstam, 2021-02-25 GitOps and Kubernetes teaches you how to use Git and the GitOps methodology to manage a Kubernetes cluster. Summary GitOps and Kubernetes introduces a radical idea—managing your infrastructure with the same Git pull requests you use to manage your codebase. In this in-depth tutorial, you’ll learn to operate infrastructures based on powerful-but-complex technologies such as Kubernetes with the same Git version control tools most developers use daily. With these GitOps techniques and best practices, you’ll accelerate application development without compromising on security, easily roll back infrastructure changes, and seamlessly introduce new team members to your automation process. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology With GitOps you use the Git version control system to organize and manage your infrastructure just like any other codebase. It’s an excellent model for applications deployed as containers and pods on Kubernetes. About the book GitOps and Kubernetes teaches you how to use Git and the GitOps methodology to manage a Kubernetes cluster. The book interleaves theory with practice, presenting core Ops concepts alongside easy-to-implement techniques so you can put GitOps into action. Learn to develop pipelines that trace changes, roll back mistakes, and audit container deployment. What's inside Managing secrets the GitOps way Controlling access with Git, Kubernetes, and Pipeline Branching, namespaces, and configuration About the reader For developers and operations engineers familiar with continuous delivery, Git, and Kubernetes. About the author Billy Yuen, Alexander Matyushentsev, Todd Ekenstam, and Jesse Suen are principal engineers at Intuit. They are widely recognized for their work in GitOps for Kubernetes. Table of Contents PART 1 - BACKGROUND 1 Why GitOps? 2 Kubernetes & GitOps PART 2 - PATTERNS & PROCESSES 3 Environment Management 4 Pipelines 5 Deployment Strategies 6 Access Control & Security 7 Secrets 8 Observability PART 3 - TOOLS 9 Argo CD 10 Jenkins X 11 Flux
  ci cd workflow diagram: Continuous Delivery with Docker and Jenkins Rafal Leszko, 2022-05-04 Create a complete continuous delivery process using modern DevOps tools such as Docker, Jenkins, Kubernetes, Ansible, Terraform, and many more Key Features • Build reliable and secure applications using Docker containers • Create a highly available environment to scale Jenkins and your services using Kubernetes • Automate your release process end-to-end Book Description This updated third edition of Continuous Delivery with Docker and Jenkins will explain the advantages of combining Jenkins and Docker to improve the continuous integration and delivery process of app development. You'll start by setting up a Docker server and configuring Jenkins on it. Next, you'll discover steps for building applications and microservices on Dockerfiles and integrating them with Jenkins using continuous delivery processes such as continuous integration, automated acceptance testing, configuration management, and Infrastructure as Code. Moving ahead, you'll learn how to ensure quick application deployment with Docker containers, along with scaling Jenkins using Kubernetes. Later, you'll explore how to deploy applications using Docker images and test them with Jenkins. Toward the concluding chapters, the book will focus on missing parts of the CD pipeline, such as the environments and infrastructure, application versioning, and non-functional testing. By the end of this continuous integration and continuous delivery book, you'll have gained the skills you need to enhance the DevOps workflow by integrating the functionalities of Docker and Jenkins. What you will learn • Grasp Docker fundamentals and dockerize applications for the CD process • Understand how to use Jenkins on-premises and in the cloud • Scale a pool of Docker servers using Kubernetes • Write acceptance tests using Cucumber • Run tests in the Docker ecosystem using Jenkins • Provision your servers and infrastructure using Ansible and Terraform • Publish a built Docker image to a Docker registry • Deploy cycles of Jenkins pipelines using community best practices Who this book is for The book is for DevOps engineers, system administrators, Docker professionals, or anyone who wants to explore the power of working with Docker and Jenkins together. No prior knowledge of DevOps is required to get started.
  ci cd workflow diagram: Mastering Kubernetes Gigi Sayfan, 2020-06-30 Go beyond simply learning Kubernetes fundamentals and its deployment, and explore more advanced concepts, including serverless computing and service meshes with the latest updates Key FeaturesMaster Kubernetes architecture and design to build and deploy secure distributed applicationsLearn advanced concepts like autoscaling, cluster federation, serverless computing, and service mesh integration for observabilityExplore Kubernetes 1.18 features and its rich ecosystem of tools like Kubectl, Knative, and HelmBook Description The third edition of Mastering Kubernetes is updated with the latest tools and code enabling you to learn Kubernetes 1.18’s latest features. This book primarily concentrates on diving deeply into complex concepts and Kubernetes best practices to help you master the skills of designing and deploying large clusters on various cloud platforms. The book trains you to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. With the two new chapters, you will gain expertise in serverless computing and utilizing service meshes. As you proceed through the chapters, you will explore different options for network configuration and learn to set up, operate, and troubleshoot Kubernetes networking plugins through real-world use cases. Furthermore, you will understand the mechanisms of custom resource development and its utilization in automation and maintenance workflows. By the end of this Kubernetes book, you will graduate from an intermediate to advanced Kubernetes professional. What you will learnMaster the fundamentals of Kubernetes architecture and designBuild and run stateful applications and complex microservices on KubernetesUse tools like Kubectl, secrets, and Helm to manage resources and storageMaster Kubernetes Networking with load balancing options like IngressAchieve high-availability Kubernetes clustersImprove Kubernetes observability with tools like Prometheus, Grafana, and JaegerExtend Kubernetes working with Kubernetes API, plugins, and webhooksWho this book is for If you are a system administrator or a cloud developer with working knowledge of Kubernetes and are keen to master its advanced features, along with learning everything from building microservices to utilizing service meshes, Mastering Kubernetes is for you. Basic familiarity with networking concepts will be helpful.
  ci cd workflow diagram: DevOps Design Pattern Pradeep Chintale, 2023-12-29 DevOps design, architecture and its implementations with best practices KEY FEATURES ● Streamlined collaboration for faster, high-quality software delivery. ● Efficient automation of development, testing, and deployment processes. ● Integration of continuous monitoring and security measures for reliable applications. DESCRIPTION DevOps design patterns encompass a set of best practices aimed at revolutionizing the software development lifecycle. It introduces a collaborative and streamlined approach to bring together different aspects of development, testing, deployment, and operations. At its core, DevOps seeks to break down traditional silos between these functions, fostering a culture of cooperation and continuous communication among teams. This interconnectivity enables faster, higher-quality software delivery by eliminating bottlenecks. DevOps best practices offer significant benefits to DevOps engineers, enhancing their effectiveness and efficiency. Examine best practices for version control and dynamic environments closely, learn how to build once, deploy many, and master the art of continuous integration and delivery (CI/CD), reducing manual intervention and minimizing errors. Each chapter equips you with actionable insights, guiding you through automated testing, robust monitoring, and effective rollback strategies. You will confidently tap into the power of Infrastructure as Code (IaC) and DevSecOps methodologies, ensuring secure and scalable software delivery. Overall, DevOps best practices enable DevOps engineers to deliver high-quality, scalable, and secure software in a more streamlined and collaborative environment. WHAT YOU WILL LEARN ● Apply DevOps design patterns to optimize system architecture and performance. ● Implement DevOps best practices for efficient software development. ● Establish robust and scalable CI/CD processes with security considerations. ● Effectively troubleshoot issues and ensure reliable and resilient software. ● Seamlessly integrate security practices into the entire software development lifecycle, from coding to deployment. WHO THIS BOOK IS FOR Software Developers, Software Architects, Infrastructure Engineers, Operation Engineers, Cloud Engineers, Quality Assurance (QA) Engineers, and all DevOps professionals across all experience levels to master efficient software delivery through proven design patterns. TABLE OF CONTENTS 1. Why DevOps 2. Implement Version Control and Tracking 3. Dynamic Developer Environment 4. Build Once, Deploy Many 5. Frequently Merge Code: Continuous Integration 6. Software Packaging and Continuous Delivery 7. Automated Testing 8. Rapid Detection of Compliance Issues and Security Risks 9. Rollback Strategy 10. Automated Infrastructure 11. Focus on Security: DevSecOps
  ci cd workflow diagram: Computer Security Ioana Boureanu, Constantin Cătălin Drăgan, Mark Manulis, Thanassis Giannetsos, Christoforos Dadoyan, Panagiotis Gouvas, Roger A. Hallman, Shujun Li, Victor Chang, Frank Pallas, Jörg Pohle, Angela Sasse, 2020-12-23 This book constitutes the refereed post-conference proceedings of the Interdisciplinary Workshop on Trust, Identity, Privacy, and Security in the Digital Economy, DETIPS 2020; the First International Workshop on Dependability and Safety of Emerging Cloud and Fog Systems, DeSECSys 2020; Third International Workshop on Multimedia Privacy and Security, MPS 2020; and the Second Workshop on Security, Privacy, Organizations, and Systems Engineering, SPOSE 2020; held in Guildford, UK, in September 2020, in conjunction with the 25th European Symposium on Research in Computer Security, ESORICS 2020. A total of 42 papers was submitted. For the DETIPS Workshop 8 regular papers were selected for presentation. Topics of interest address various aspect of the core areas in relation to digital economy. For the DeSECSys Workshop 4 regular papers are included. The workshop had the objective of fostering collaboration and discussion among cyber-security researchers and practitioners to discuss the various facets and trade-o s of cyber security. In particular, applications, opportunities and possible shortcomings of novel security technologies and their integration in emerging application domains. For the MPS Workshop 4 regular papers are presented which cover topics related to the security and privacy of multimedia systems of Internet-based video conferencing systems (e.g., Zoom, Microsoft Teams, Google Meet), online chatrooms (e.g., Slack), as well as other services to support telework capabilities. For the SPOSE Workshop 3 full papers were accepted for publication. They reflect the discussion, exchange, and development of ideas and questions regarding the design and engineering of technical security and privacy mechanisms with particular reference to organizational contexts.
  ci cd workflow diagram: Team Topologies Matthew Skelton, Manuel Pais, 2019-09-17 Effective software teams are essential for any organization to deliver value continuously and sustainably. But how do you build the best team organization for your specific goals, culture, and needs? Team Topologies is a practical, step-by-step, adaptive model for organizational design and team interaction based on four fundamental team types and three team interaction patterns. It is a model that treats teams as the fundamental means of delivery, where team structures and communication pathways are able to evolve with technological and organizational maturity. In Team Topologies, IT consultants Matthew Skelton and Manuel Pais share secrets of successful team patterns and interactions to help readers choose and evolve the right team patterns for their organization, making sure to keep the software healthy and optimize value streams. Team Topologies is a major step forward in organizational design for software, presenting a well-defined way for teams to interact and interrelate that helps make the resulting software architecture clearer and more sustainable, turning inter-team problems into valuable signals for the self-steering organization.
  ci cd workflow diagram: Automated Machine Learning on AWS Trenton Potgieter, Jonathan Dahlberg, 2022-04-15 Automate the process of building, training, and deploying machine learning applications to production with AWS solutions such as SageMaker Autopilot, AutoGluon, Step Functions, Amazon Managed Workflows for Apache Airflow, and more Key FeaturesExplore the various AWS services that make automated machine learning easierRecognize the role of DevOps and MLOps methodologies in pipeline automationGet acquainted with additional AWS services such as Step Functions, MWAA, and more to overcome automation challengesBook Description AWS provides a wide range of solutions to help automate a machine learning workflow with just a few lines of code. With this practical book, you'll learn how to automate a machine learning pipeline using the various AWS services. Automated Machine Learning on AWS begins with a quick overview of what the machine learning pipeline/process looks like and highlights the typical challenges that you may face when building a pipeline. Throughout the book, you'll become well versed with various AWS solutions such as Amazon SageMaker Autopilot, AutoGluon, and AWS Step Functions to automate an end-to-end ML process with the help of hands-on examples. The book will show you how to build, monitor, and execute a CI/CD pipeline for the ML process and how the various CI/CD services within AWS can be applied to a use case with the Cloud Development Kit (CDK). You'll understand what a data-centric ML process is by working with the Amazon Managed Services for Apache Airflow and then build a managed Airflow environment. You'll also cover the key success criteria for an MLSDLC implementation and the process of creating a self-mutating CI/CD pipeline using AWS CDK from the perspective of the platform engineering team. By the end of this AWS book, you'll be able to effectively automate a complete machine learning pipeline and deploy it to production. What you will learnEmploy SageMaker Autopilot and Amazon SageMaker SDK to automate the machine learning processUnderstand how to use AutoGluon to automate complicated model building tasksUse the AWS CDK to codify the machine learning processCreate, deploy, and rebuild a CI/CD pipeline on AWSBuild an ML workflow using AWS Step Functions and the Data Science SDKLeverage the Amazon SageMaker Feature Store to automate the machine learning software development life cycle (MLSDLC)Discover how to use Amazon MWAA for a data-centric ML processWho this book is for This book is for the novice as well as experienced machine learning practitioners looking to automate the process of building, training, and deploying machine learning-based solutions into production, using both purpose-built and other AWS services. A basic understanding of the end-to-end machine learning process and concepts, Python programming, and AWS is necessary to make the most out of this book.
  ci cd workflow diagram: Terraform in Action Scott Winkler, 2021-07-06 For readers experienced with a major cloud platform such as AWS. Examples in Javascript and Golang--Back cover.
  ci cd workflow diagram: Solutions Architect's Handbook Saurabh Shrivastava, Neelanjali Srivastav, 2022-01-17 Third edition out now with coverage on Generative AI, clean architecture, edge computing, and more Key Features Turn business needs into end-to-end technical architectures with this practical guide Assess and overcome various challenges while updating or modernizing legacy applications Future-proof your architecture with IoT, machine learning, and quantum computing Book DescriptionBecoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This handbook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish. This new edition features additional chapters on disruptive technologies, such as Internet of Things (IoT), quantum computing, data engineering, and machine learning. It also includes updated discussions on cloud-native architecture, blockchain data storage, and mainframe modernization with public cloud. The Solutions Architect's Handbook provides an understanding of solution architecture and how it fits into an agile enterprise environment. It will take you through the journey of solution architecture design by providing detailed knowledge of design pillars, advanced design patterns, anti-patterns, and the cloud-native aspects of modern software design. By the end of this handbook, you'll have learned the techniques needed to create efficient architecture designs that meet your business requirements.What you will learn Explore the various roles of a solutions architect in the enterprise landscape Implement key design principles and patterns to build high-performance cost-effective solutions Choose the best strategies to secure your architectures and increase their availability Modernize legacy applications with the help of cloud integration Understand how big data processing, machine learning, and IoT fit into modern architecture Integrate a DevOps mindset to promote collaboration, increase operational efficiency, and streamline production Who this book is for This book is for software developers, system engineers, DevOps engineers, architects, and team leaders who already work in the IT industry and aspire to become solutions architect professionals. Existing solutions architects who want to expand their skillset or get a better understanding of new technologies will also learn valuable new skills. To get started, you'll need a good understanding of the real-world software development process and general programming experience in any language.
  ci cd workflow diagram: Professional React Native Alexander Benedikt Kuttig, 2022-10-31 Learn how React Native works under the hood and what this means for building large-scale, cross-platform, production-ready applications without compromising on the quality and performance Key FeaturesExplore a modern approach to React Native, covering state management, animations, gestures, and moreImplement best practices and practical techniques for creating large-scale, production-ready appsCreate a development process including workflow automation with GitHub Actions, Fastlane, and BitriseBook Description The React Native framework offers a range of powerful features that make it possible to efficiently build high-quality, easy-to-maintain frontend applications across multiple platforms such as iOS, Android, Linux, Mac OS X, Windows, and the web, helping you save both time and money. And this book is your key to unlocking its capabilities. Professional React Native provides the ultimate coverage of essential concepts, best practices, advanced processes, and tips for everyday developer problems. The book makes it easy to understand how React Native works under the hood using step-by-step explanations and practical examples so you can use this knowledge to develop highly performant apps. As you follow along, you'll learn the difference between React and React Native, navigate the React Native ecosystem, and revisit the basics of JavaScript and TypeScript needed to create a React Native application. What's more, you'll work with animations and even control your app with gestures. Finally, you'll be able to structure larger apps and improve developer efficiency through automated processes, testing, and continuous integration. By the end of this React native app development book, you'll have gained the confidence to build high-performance apps for multiple platforms, even on a bigger scale. What you will learnBecome familiar with how React Native works under the hoodUnderstand how to make the most of React Native for app developmentExplore different approaches to building apps across various platformsBecome familiar with process automation and automated testingContribute to open source code and structure your own code libraryUnderstand how to set up the architecture for bigger React Native projectsWho this book is for This book is for developers who want to get started with React Native as well as experienced React Native developers interested in building professional cross-platform applications. Familiarity with the basics of JavaScript (including its syntax) and general software engineering concepts, such as data types, control flows, and server/client structures, is required. Although useful, experience with React Native is not necessary.
  ci cd workflow diagram: Accelerating DevSecOps on AWS Nikit Swaraj, 2022-04-28 Build high-performance CI/CD pipelines that are powered by AWS and the most cutting-edge tools and techniques Key FeaturesMaster the full AWS developer toolchain for building high-performance, resilient, and powerful CI/CD pipelinesGet to grips with Chaos engineering, DevSecOps, and AIOps as applied to CI/CDEmploy the latest tools and techniques to build a CI/CD pipeline for application and infrastructureBook Description Continuous integration and continuous delivery (CI/CD) has never been simple, but these days the landscape is more bewildering than ever; its terrain riddled with blind alleys and pitfalls that seem almost designed to trap the less-experienced developer. If you're determined enough to keep your balance on the cutting edge, this book will help you navigate the landscape with ease. This book will guide you through the most modern ways of building CI/CD pipelines with AWS, taking you step-by-step from the basics right through to the most advanced topics in this domain. The book starts by covering the basics of CI/CD with AWS. Once you're well-versed with tools such as AWS Codestar, Proton, CodeGuru, App Mesh, SecurityHub, and CloudFormation, you'll focus on chaos engineering, the latest trend in testing the fault tolerance of your system. Next, you'll explore the advanced concepts of AIOps and DevSecOps, two highly sought-after skill sets for securing and optimizing your CI/CD systems. All along, you'll cover the full range of AWS CI/CD features, gaining real-world expertise. By the end of this AWS book, you'll have the confidence you need to create resilient, secure, and performant CI/CD pipelines using the best techniques and technologies that AWS has to offer. What you will learnUse AWS Codestar to design and implement a full branching strategyEnforce Policy as Code using CloudFormation Guard and HashiCorp SentinelMaster app and infrastructure deployment at scale using AWS Proton and review app code using CodeGuruDeploy and manage production-grade clusters using AWS EKS, App Mesh, and X-RayHarness AWS Fault Injection Simulator to test the resiliency of your appWield the full arsenal of AWS Security Hub and Systems Manager for infrastructure security automationEnhance CI/CD pipelines with the AI-powered DevOps Guru serviceWho this book is for This book is for DevOps engineers, engineering managers, cloud developers, and cloud architects. Basic experience with the software development life cycle, DevOps, and AWS is all you need to get started.
  ci cd workflow diagram: Intelligent Workloads at the Edge Indraneel Mitra, Ryan Burke, 2022-01-14 Explore IoT, data analytics, and machine learning to solve cyber-physical problems using the latest capabilities of managed services such as AWS IoT Greengrass and Amazon SageMaker Key FeaturesAccelerate your next edge-focused product development with the power of AWS IoT GreengrassDevelop proficiency in architecting resilient solutions for the edge with proven best practicesHarness the power of analytics and machine learning for solving cyber-physical problemsBook Description The Internet of Things (IoT) has transformed how people think about and interact with the world. The ubiquitous deployment of sensors around us makes it possible to study the world at any level of accuracy and enable data-driven decision-making anywhere. Data analytics and machine learning (ML) powered by elastic cloud computing have accelerated our ability to understand and analyze the huge amount of data generated by IoT. Now, edge computing has brought information technologies closer to the data source to lower latency and reduce costs. This book will teach you how to combine the technologies of edge computing, data analytics, and ML to deliver next-generation cyber-physical outcomes. You'll begin by discovering how to create software applications that run on edge devices with AWS IoT Greengrass. As you advance, you'll learn how to process and stream IoT data from the edge to the cloud and use it to train ML models using Amazon SageMaker. The book also shows you how to train these models and run them at the edge for optimized performance, cost savings, and data compliance. By the end of this IoT book, you'll be able to scope your own IoT workloads, bring the power of ML to the edge, and operate those workloads in a production setting. What you will learnBuild an end-to-end IoT solution from the edge to the cloudDesign and deploy multi-faceted intelligent solutions on the edgeProcess data at the edge through analytics and MLPackage and optimize models for the edge using Amazon SageMakerImplement MLOps and DevOps for operating an edge-based solutionOnboard and manage fleets of edge devices at scaleReview edge-based workloads against industry best practicesWho this book is for This book is for IoT architects and software engineers responsible for delivering analytical and machine learning–backed software solutions to the edge. AWS customers who want to learn and build IoT solutions will find this book useful. Intermediate-level experience with running Python software on Linux is required to make the most of this book.
  ci cd workflow diagram: Learning Continuous Integration with Jenkins Nikhil Pathania, 2024-01-31 Integrate Jenkins, Kubernetes, and more on cloud into a robust, GitOps-driven CI/CD system, leveraging JCasC, IaC, and AI for a streamlined software delivery process Key Features Follow the construction of a Jenkins CI/CD pipeline start to finish through a real-world example Construct a continuous deployment (CD) pipeline in Jenkins using GitOps principles and integration with Argo CD Craft and optimize your CI pipeline code with ChatGPT and GitHub Copilot Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis updated edition of Learning Continuous Integration with Jenkins is your one-stop guide to implementing CI/CD with Jenkins, addressing crucial technologies such as cloud computing, containerization, Infrastructure as Code, and GitOps. Tailored to both beginners and seasoned developers, the book provides a practical path to mastering a production-grade, secure, resilient, and cost-effective CI/CD setup. Starting with a detailed introduction to the fundamental principles of CI, this book systematically takes you through setting up a CI environment using Jenkins and other pivotal DevOps tools within the CI/CD ecosystem. You’ll learn to write pipeline code with AI assistance and craft your own CI pipeline. With the help of hands-on tutorials, you’ll gain a profound understanding of the CI process and Jenkins’ robust capabilities. Additionally, the book teaches you how to expand your CI pipeline with automated testing and deployment, setting the stage for continuous deployment. To help you through the complete software delivery process, this book also covers methods to ensure that your CI/CD setup is maintainable across teams, secure, and performs optimally. By the end of the book, you’ll have become an expert in implementing and optimizing CI/CD setups across diverse teams.What you will learn Understand CI with the Golden Circle theory Deploy Jenkins on the cloud using Helm charts and Jenkins Configuration as Code (JCasC) Implement optimal security practices to ensure Jenkins operates securely Extend Jenkins for CI by integrating with SonarQube, GitHub, and Artifactory Scale Jenkins using containers and the cloud for optimal performance Master Jenkins declarative syntax to enrich your pipeline coding vocabulary Enhance security and improve pipeline code within your CI/CD process using best practices Who this book is for This book is for a diverse audience, from university students studying Agile software development to seasoned developers, testers, release engineers, and project managers. If you’re already using Jenkins for CI, this book will assist you in elevating your projects to CD. Whether you’re new to the concepts of Agile, CI, and CD, or a DevOps engineer seeking advanced insights into JCasC, IaC, and Azure, this book will equip you with the tools to harness Jenkins for improved productivity and streamlined deliveries in the cloud.
  ci cd workflow diagram: Python for Geeks Muhammad Asif, 2021-10-20 Take your Python skills to the next level to develop scalable, real-world applications for local as well as cloud deployment Key FeaturesAll code examples have been tested with Python 3.7 and Python 3.8 and are expected to work with any future 3.x releaseLearn how to build modular and object-oriented applications in PythonDiscover how to use advanced Python techniques for the cloud and clustersBook Description Python is a multipurpose language that can be used for multiple use cases. Python for Geeks will teach you how to advance in your career with the help of expert tips and tricks. You'll start by exploring the different ways of using Python optimally, both from the design and implementation point of view. Next, you'll understand the life cycle of a large-scale Python project. As you advance, you'll focus on different ways of creating an elegant design by modularizing a Python project and learn best practices and design patterns for using Python. You'll also discover how to scale out Python beyond a single thread and how to implement multiprocessing and multithreading in Python. In addition to this, you'll understand how you can not only use Python to deploy on a single machine but also use clusters in private as well as in public cloud computing environments. You'll then explore data processing techniques, focus on reusable, scalable data pipelines, and learn how to use these advanced techniques for network automation, serverless functions, and machine learning. Finally, you'll focus on strategizing web development design using the techniques and best practices covered in the book. By the end of this Python book, you'll be able to do some serious Python programming for large-scale complex projects. What you will learnUnderstand how to design and manage complex Python projectsStrategize test-driven development (TDD) in PythonExplore multithreading and multiprogramming in PythonUse Python for data processing with Apache Spark and Google Cloud Platform (GCP)Deploy serverless programs on public clouds such as GCPUse Python to build web applications and application programming interfacesApply Python for network automation and serverless functionsGet to grips with Python for data analysis and machine learningWho this book is for This book is for intermediate-level Python developers in any field who are looking to build their skills to develop and manage large-scale complex projects. Developers who want to create reusable modules and Python libraries and cloud developers building applications for cloud deployment will also find this book useful. Prior experience with Python will help you get the most out of this book.
  ci cd workflow diagram: Terraform in Action Scott Winkler, 2021-08-24 An outstanding source of knowledge for Terraform enthusiasts of all levels. - Anton Babenko, Betajob Terraform in Action shows you how to automate and scale infrastructure programmatically using the Terraform toolkit. Summary In Terraform in Action you will learn: Cloud architecture with Terraform Terraform module sharing and the private module registry Terraform security in a multitenant environment Strategies for performing blue/green deployments Refactoring for code maintenance and reusability Running Terraform at scale Creating your own Terraform provider Using Terraform as a continuous development/continuous delivery platform Terraform in Action introduces the infrastructure-as-code (IaC) model that lets you instantaneously create new components and respond efficiently to changes in demand. You’ll use the Terraform automation tool to design and manage servers that can be provisioned, shared, changed, tested, and deployed with a single command. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Provision, deploy, scale, and clone your entire stack to the cloud at the touch of a button. In Terraform, you create a collection of simple declarative scripts that define and manage application infrastructure. This powerful infrastructure-as-code approach automates key tasks like versioning and testing for everything from low-level networking to cloud services. About the book Terraform in Action shows you how to automate and scale infrastructure programmatically using the Terraform toolkit. Using practical, relevant examples, you’ll use Terraform to provision a Kubernetes cluster, deploy a multiplayer game, and configure other hands-on projects. As you progress to advanced techniques like zero-downtime deployments, you’ll discover how to think in Terraform rather than just copying and pasting scripts. What's inside Cloud architecture with Terraform Terraform module sharing and the private module registry Terraform security in a multitenant environment Strategies for performing blue/green deployments About the reader For readers experienced with a major cloud platform such as AWS. Examples in JavaScript and Golang. About the author Scott Winkler is a DevOps engineer and a distinguished Terraform expert. He has spoken multiple times at HashiTalks and HashiConf, and was selected as a HashiCorp Ambassador and Core Contributor in 2020. Table of Contents PART 1 TERRAFORM BOOTCAMP 1 Getting started with Terraform 2 Life cycle of a Terraform resource 3 Functional programming 4 Deploying a multi-tiered web application in AWS PART 2 TERRAFORM IN THE WILD 5 Serverless made easy 6 Terraform with friends 7 CI/CD pipelines as code 8 A multi-cloud MMORPG PART 3 MASTERING TERRAFORM 9 Zero-downtime deployments 10 Testing and refactoring 11 Extending Terraform by writing a custom provider 12 Automating Terraform 13 Security and secrets management
品牌策划、品牌形象设计中的CI SI VI系统分别是指什么，三者之间 …
在CI理论中，CI作为一个整体机制，是由三大要素构成的，这三大要素是： 理念识别：Mind Identity，简称MI。 活动识别：Behavior Identity，简称BI。 视觉识别：Visual Identity，简 …

新手必看：SCI、JCR分区、中科院SCI分区都是什么？该如何查询期 …
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什么是SI、VI、CI？区别在哪里？ - 知乎
简单来说，ci 由 vi、mi、bi 组成，Visual Identity 视觉识别包含在 Corporate Identit 企业识别中. si 是 StoreIdentity System 空间识别，一般来说提到 ci 不包含 si，因为很多企业没有做线下门店 …

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Exploring the Impact of Integrating UI Testing in CI/CD …
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DevSecOps cATO Implementation Guide - U.S. Department of …
UNCLASSIFIED UNCLASSIFIED 1 Introduction “Real-time or near real-time data analytics for reporting security events is essential to achieve the level of cybersecurity required to combat …

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SAAB:s existing CI/CD workflow. Keywords: Test automation, Continuous integration, Jenkins, Air traffic management, C# . 3 Preface I would like to thank SAAB for the opportunity to do my …

Carbon-Awareness in CI/CD - arXiv.org
In this section we survey related works on CI/CD job management as well as general carbon-aware scheduling approaches. 2.1 CI/CD Workflow Scheduling Major cloud and CI/CD service …

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PeopleTools 8.60: Workflow Technology - Oracle
Contents Activities.....29

Using IBM Dependency Based Build (DBB) with GitHub Actions
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Implementing CI/CD for ML workflows is not without its challenges. Unlike traditional software systems, ML workflows are heavily data-dependent, and changes in the data can significantly

Handbook for TQM and QCC - Art of Lean
4-3 QCC Techniques 68 4-3-1 Brainstorming 69 4-3-2 Why-Why Approach 70 4-3-3 Affinity Diagrams 75 4-3-4 5S Concept 78 4-3-5 3Mu Elimination Approach 79

CI/CD Configuration Practices inOpen-Source …
CI/CD services, namely GitHub Actions, Travis CI, CircleCI, and GitLab CI/CD. In particular, our study explores the ... that more than a third of CI/CD configuration changes focus on improving …

How to get started with GitHub Enterprise Cloud
access application security metrics, CI/CD workflows, and other day-to-day activities for developers. There are three visibility types for repositories: public, internal, and private. • …

ČESKÉVYSOKÉ UČENÍTECHNICKÉ VPRAZE F3
GitLab CI/CD je plnohodnotný nástroj pro automatizaci sestavení, testování a nasa- zení aplikací, integrovaný přímo do platformy GitLab. Workflow je definován pomocí

State of CI CD Survey 2020 - ActiveState
CI/CD market is characterized by a large number of vendors with various on premise and cloud-based offerings, but no universal out-of-the-box approach exists. Additionally, CI/CD remains …

Hands-on GitHub Actions - Springer
developers and Ops teams to build quality CI/CD workflows. The book offers in-depth lessons on implementation patterns, solutions for different technology builds, guidelines for implementing …

Developments in MLflow: A System to Accelerate the Machine …
Right: A diagram depicting an example collaborative Model Registry workflow where models are deployed to staging and production envi- ... and CI/CD tools fetch model updates via the …