Pipeline As Code

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Pipeline as Code

Author : Mohamed Labouardy
Publisher : Simon and Schuster
ISBN 13 : 163835037X
Total Pages : 750 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Pipeline as Code by : Mohamed Labouardy

Download or read book Pipeline as Code written by Mohamed Labouardy and published by Simon and Schuster. This book was released on 2021-11-23 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Hands-on Pipeline as Code with Jenkins

Author : Ankita Patil
Publisher : BPB Publications
ISBN 13 : 9389898609
Total Pages : 484 pages
Book Rating : 4.3/5 (898 download)

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Book Synopsis Hands-on Pipeline as Code with Jenkins by : Ankita Patil

Download or read book Hands-on Pipeline as Code with Jenkins written by Ankita Patil and published by BPB Publications. This book was released on 2021-02-11 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step guide to implementing Continuous Integration and Continuous Delivery (CICD) for Mobile, Hybrid, and Web applications DESCRIPTION The main objective of the book is to create Declarative Pipeline for programming languages such as Java, Android, iOS, AngularJS, NodeJS, Flutter, Ionic Cordova, and .Net. The book starts by introducing all the areas which encompass the field of DevOps Practices. It covers definition of DevOps, DevOps history, benefits of DevOps culture, DevOps and Value Streams, DevOps practices, different Pipeline types such as Build Pipeline, Scripted Pipeline, Declarative Pipeline, and Blue Ocean. Each chapter focuses on Pipeline that includes Static Code Analysis using SonarQube or Lint tools, Unit tests, calculating code coverage, publishing unit tests and coverage reports, verifying the threshold of code coverage, creating build/package, and distributing package to a specific environment based on the type of programming language. The book will also teach you how to use different deployment distribution environments such as Azure App Services, Docker, Azure Container Services, Azure Kubernetes Service, and App Center. By the end, you will be able to implement DevOps Practices using Jenkins effectively and efficiently. KEY FEATURESÊÊ _ Understand how and when Continuous Integration makes a difference _ Learn how to create Declarative Pipeline for Continuous Integration and Continuous Delivery _ Understand the importance of Continuous Code Inspection and Code Quality _ Learn to publish Unit Test and Code Coverage in Declarative Pipeline _ Understand theÊ importance of Quality Gates and Build Quality WHAT YOU WILL LEARNÊ _ Use Multi-Stage Pipeline (Pipeline as a Code) to implement Continuous Integration and ContinuousÊ Ê Ê Ê Delivery. _ Create and configure Cloud resources using Platform as a Service Model _ Deploy apps to Azure App Services, Azure Kubernetes and containers _ Understand how to distribute Mobile Apps (APK and IPA) to App Center _ Improve Code Quality and Standards using Continuous Code Inspection WHO THIS BOOK IS FORÊÊ This book is for DevOps Consultants, DevOps Evangelists, DevOps Engineers, Technical Specialists, Technical Architects, Cloud Experts, and Beginners. Having a basics knowledge of Application development and deployment, Cloud Computing, and DevOps Practices would be an added advantage. TABLE OF CONTENTS 1. Introducing DevOps 2. Introducing Jenkins 2.0 and Blue Ocean 3. Building CICD Pipeline for Java Web Application 4. Building CICD Pipeline for Android App 5. Building CICD Pipeline for iOS App 6. Building CICD Pipeline for Angular Application 7. Building CICD Pipeline NodeJS Application 8. Building CICD Pipeline for Hybrid Mobile Application 9. Building CICD Pipeline for Python Application 10. Building CICD Pipeline for DotNet Application 11. Best Practices

Jenkins 2: Up and Running

Author : Brent Laster
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491979542
Total Pages : 606 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Jenkins 2: Up and Running by : Brent Laster

Download or read book Jenkins 2: Up and Running written by Brent Laster and published by "O'Reilly Media, Inc.". This book was released on 2018-05-02 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design, implement, and execute continuous delivery pipelines with a level of flexibility, control, and ease of maintenance that was not possible with Jenkins before. With this practical book, build administrators, developers, testers, and other professionals will learn how the features in Jenkins 2 let you define pipelines as code, leverage integration with other key technologies, and create automated, reliable pipelines to simplify and accelerate your DevOps environments. Author Brent Laster shows you how Jenkins 2 is significantly different from the more traditional, web-only versions of this popular open source automation platform. If you’re familiar with Jenkins and want to take advantage of the new technologies to transform your legacy pipelines or build new modern, automated continuous delivery environments, this is your book. Create continuous delivery pipelines as code with the Jenkins domain-specific language Get practical guidance on how to migrate existing jobs and pipelines Harness best practices and new methods for controlling access and security Explore the structure, implementation, and use of shared pipeline libraries Learn the differences between declarative syntax and scripted syntax Leverage new and existing project types in Jenkins Understand and use the new Blue Ocean graphical interface Take advantage of the capabilities of the underlying OS in your pipeline Integrate analysis tools, artifact management, and containers

Pro Continuous Delivery

Author : Nikhil Pathania
Publisher : Apress
ISBN 13 : 1484229134
Total Pages : 298 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Pro Continuous Delivery by : Nikhil Pathania

Download or read book Pro Continuous Delivery written by Nikhil Pathania and published by Apress. This book was released on 2017-07-03 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Follow this step-by-step guide for creating a continuous delivery pipeline using all of the new features in Jenkins 2.0 such as Pipeline as a Code, multi-branch pipeline, and more. You will learn three crucial elements for achieving a faster software delivery pipeline: a fungible build/test environment, manageable and reproducible pipelines, and a scalable build/test infrastructure. Pro Continuous Delivery demonstrates how to create a highly available, active/passive Jenkins server using some niche technologies. What You'll Learn Create a highly available, active/passive Jenkins server using CoreOS and Docker, and using Pacemaker and Corosync Use a Jenkins multi-branch pipeline to automatically perform continuous integration whenever there is a new branch in your source control system Describe your continuous delivery pipeline with Jenkinsfile Host Jenkins server on a cloud solution Run Jenkins inside a container using Docker Discover how the distributed nature of Git and the “merge before build” feature of Jenkins can be used to implement gated check-in Implement a scalable build farm using Docker and Kubernetes Who This Book Is For You have experience implementing continuous integration and continuous delivery using Jenkins freestyle Jobs and wish to use the new Pipeline as a Code feature introduced in Jenkins 2.0 Your source code is on a Git-like version control system (Git, GitHub, GitLab, etc.) and you wish to leverage the advantages of a multi-branch pipeline in Jenkins Your infrastructure is on a Unix-like platform and you wish to create a scalable, distributed build/test farm using Docker or Kubernetes You are in need of a highly available system for your Jenkins Server using open source tools and technologies

Data Pipelines with Apache Airflow

Author : Bas P. Harenslak
Publisher : Simon and Schuster
ISBN 13 : 1617296902
Total Pages : 478 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Data Pipelines with Apache Airflow by : Bas P. Harenslak

Download or read book Data Pipelines with Apache Airflow written by Bas P. Harenslak and published by Simon and Schuster. This book was released on 2021-04-27 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book teaches you how to build and maintain effective data pipelines. Youll explore the most common usage patterns, including aggregating multiple data sources, connecting to and from data lakes, and cloud deployment. --

Deep Learning Pipeline

Author : Hisham El-Amir
Publisher : Apress
ISBN 13 : 1484253493
Total Pages : 563 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Deep Learning Pipeline by : Hisham El-Amir

Download or read book Deep Learning Pipeline written by Hisham El-Amir and published by Apress. This book was released on 2019-12-20 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects. You'll learn what a pipeline is and how it works so you can build a full application easily and rapidly. Then troubleshoot and overcome basic Tensorflow obstacles to easily create functional apps and deploy well-trained models. Step-by-step and example-oriented instructions help you understand each step of the deep learning pipeline while you apply the most straightforward and effective tools to demonstrative problems and datasets. You'll also develop a deep learning project by preparing data, choosing the model that fits that data, and debugging your model to get the best fit to data all using Tensorflow techniques. Enhance your skills by accessing some of the most powerful recent trends in data science. If you've ever considered building your own image or text-tagging solution or entering a Kaggle contest, Deep Learning Pipeline is for you! What You'll LearnDevelop a deep learning project using dataStudy and apply various models to your dataDebug and troubleshoot the proper model suited for your data Who This Book Is For Developers, analysts, and data scientists looking to add to or enhance their existing skills by accessing some of the most powerful recent trends in data science. Prior experience in Python or other TensorFlow related languages and mathematics would be helpful.

Continuous Delivery

Author : Jez Humble
Publisher : Pearson Education
ISBN 13 : 0321670221
Total Pages : 956 pages
Book Rating : 4.3/5 (216 download)

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Book Synopsis Continuous Delivery by : Jez Humble

Download or read book Continuous Delivery written by Jez Humble and published by Pearson Education. This book was released on 2010-07-27 with total page 956 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Building Machine Learning Pipelines

Author : Hannes Hapke
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492053147
Total Pages : 398 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Building Machine Learning Pipelines by : Hannes Hapke

Download or read book Building Machine Learning Pipelines written by Hannes Hapke and published by "O'Reilly Media, Inc.". This book was released on 2020-07-13 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play in helping to accelerate these projects. Understand the steps to build a machine learning pipeline Build your pipeline using components from TensorFlow Extended Orchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow Pipelines Work with data using TensorFlow Data Validation and TensorFlow Transform Analyze a model in detail using TensorFlow Model Analysis Examine fairness and bias in your model performance Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices Learn privacy-preserving machine learning techniques

Hands-on Pipeline as YAML with Jenkins

Author : Mitesh Soni
Publisher : BPB Publications
ISBN 13 : 9390684633
Total Pages : 238 pages
Book Rating : 4.3/5 (96 download)

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Book Synopsis Hands-on Pipeline as YAML with Jenkins by : Mitesh Soni

Download or read book Hands-on Pipeline as YAML with Jenkins written by Mitesh Soni and published by BPB Publications. This book was released on 2021-06-14 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step guide to implement Continuous Integration and Continuous Delivery (CI/CD) for Flutter, Ionic, Android, and Angular applications. KEY FEATURES ● This book covers all Declarative Pipelines that can be utilized in real-life scenarios with sample applications written in Android, Angular, Ionic Cordova, and Flutter. ● This book utilizes the YAML Pipeline feature of Jenkins. A step-by-step implementation of Continuous Practices of DevOps makes it easy to understand even for beginners. DESCRIPTION This book brings solid practical knowledge on how to create YAML pipelines using Jenkins for efficient and scalable CI/CD pipelines. It covers an introduction to various essential topics such as DevOps, DevOps History, Benefits of DevOps Culture, DevOps and Value Streams, DevOps Practices, different types of pipelines such as Build Pipeline, Scripted Pipeline, Declarative Pipeline, YAML Pipelines, and Blue Ocean. This book provides an easy journey to readers in creating YAML pipelines for various application systems, including Android, AngularJS, Flutter, and Ionic Cordova. You will become a skilled developer by learning how to run Static Code Analysis using SonarQube or Lint tools, Unit testing, calculating code coverage, publishing unit tests and coverage reports, verifying the threshold of code coverage, creating build/package, and distributing packages across different environments. By the end of this book, you will be able to try out some of the best practices to implement DevOps using Jenkins and YAML. WHAT YOU WILL LEARN ● Write successful YAML Pipeline codes for Continuous Integration and Continuous Delivery. ● Explore the working of CI/CD pipelines across Android, Angular, Ionic Cordova, and Flutter apps. ● Learn the importance of Continuous Code Inspection and Code Quality. ● Understand the importance of Continuous Integration and Continuous Delivery. ● Learn to publish Unit Tests and Code Coverage in Declarative Pipelines. ● Learn to deploy apps on Azure and distribute Mobile Apps to App Centers. WHO THIS BOOK IS FOR This book is suitable for beginners, DevOps consultants, DevOps evangelists, DevOps engineers, technical specialists, technical architects, and Cloud experts. Some prior basic knowledge of application development and deployment, Cloud computing, and DevOps practices will be helpful. TABLE OF CONTENTS 1.Introducing Pipelines 2.Basic Components of YAML Pipelines 3.Building CI/CD Pipelines with YAML for Flutter Applications 4.Building CI/CD Pipelines with YAML for Ionic Cordova Applications 5.Building CI/CD Pipelines with YAML for Android Apps 6.Building CI/CD Pipelines with YAML for Angular Applications 7.Pipeline Best Practices

Building CI/CD Systems Using Tekton

Author : Joel Lord
Publisher : Packt Publishing Ltd
ISBN 13 : 1801075867
Total Pages : 278 pages
Book Rating : 4.8/5 (1 download)

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Book Synopsis Building CI/CD Systems Using Tekton by : Joel Lord

Download or read book Building CI/CD Systems Using Tekton written by Joel Lord and published by Packt Publishing Ltd. This book was released on 2021-09-17 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automate the delivery of applications using Tekton Pipelines and Triggers to deploy new releases quickly and more efficiently Key FeaturesLearn how to create powerful pipelines using CI/CD toolsUnderstand how to run, deploy and test applications directly in a cloud-native environmentExplore the new Tekton Pipelines 2021 featuresBook Description Tekton is a powerful yet flexible Kubernetes-native open source framework for creating continuous integration and continuous delivery (CI/CD) systems. It enables you to build, test, and deploy across multiple cloud providers or on-premise systems. Building CI/CD Systems Using Tekton covers everything you need to know to start building your pipeline and automating application delivery in a cloud-native environment. Using a hands-on approach, you will learn about the basic building blocks, such as tasks, pipelines, and workspaces, which you can use to compose your CI/CD pipelines. As you progress, you will understand how to use these Tekton objects in conjunction with Tekton Triggers to automate the delivery of your application in a Kubernetes cluster. By the end of this book, you will have learned how to compose Tekton Pipelines and use them with Tekton Triggers to build powerful CI/CD systems. What you will learnUnderstand the basic principles behind CI/CDExplore what tasks are and how they can be made reusable and flexibleFocus on how to use Tekton objects to compose a robust pipelineShare data across a pipeline using volumes and workspacesDiscover more advanced topics such as WhenExpressions and Secrets to build complex pipelinesUnderstand what Tekton Triggers are and how they can be used to automate CI/CD pipelinesBuild a full CI/CD pipeline that automatically deploys an application to a Kubernetes cluster when an update is done to a code repositoryWho this book is for This continuous integration and continuous delivery book is for anyone who wants to learn about one of the most powerful Kubernetes-native CI/CD systems - Tekton. Software developers who want to leverage the Custom Resource Definitions (CRDs) in Kubernetes and use Tekton to run pipeline tasks in order to build and own application delivery pipelines will also find this book particularly helpful. Beginner-level knowledge of software development concepts and Kubernetes is required to get the most out of this book.

Continuous Delivery in Java

Author : Daniel Bryant
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491985976
Total Pages : 482 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Continuous Delivery in Java by : Daniel Bryant

Download or read book Continuous Delivery in Java written by Daniel Bryant and published by "O'Reilly Media, Inc.". This book was released on 2018-11-09 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continuous delivery adds enormous value to the business and the entire software delivery lifecycle, but adopting this practice means mastering new skills typically outside of a developer’s comfort zone. In this practical book, Daniel Bryant and Abraham Marín-Pérez provide guidance to help experienced Java developers master skills such as architectural design, automated quality assurance, and application packaging and deployment on a variety of platforms. Not only will you learn how to create a comprehensive build pipeline for continually delivering effective software, but you’ll also explore how Java application architecture and deployment platforms have affected the way we rapidly and safely deliver new software to production environments. Get advice for beginning or completing your migration to continuous delivery Design architecture to enable the continuous delivery of Java applications Build application artifacts including fat JARs, virtual machine images, and operating system container (Docker) images Use continuous integration tooling like Jenkins, PMD, and find-sec-bugs to automate code quality checks Create a comprehensive build pipeline and design software to separate the deploy and release processes Explore why functional and system quality attribute testing is vital from development to delivery Learn how to effectively build and test applications locally and observe your system while it runs in production

DevOps with OpenShift

Author : Stefano Picozzi
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491976616
Total Pages : 152 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis DevOps with OpenShift by : Stefano Picozzi

Download or read book DevOps with OpenShift written by Stefano Picozzi and published by "O'Reilly Media, Inc.". This book was released on 2017-07-10 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many organizations, a big part of DevOps’ appeal is software automation using infrastructure-as-code techniques. This book presents developers, architects, and infra-ops engineers with a more practical option. You’ll learn how a container-centric approach from OpenShift, Red Hat’s cloud-based PaaS, can help your team deliver quality software through a self-service view of IT infrastructure. Three OpenShift experts at Red Hat explain how to configure Docker application containers and the Kubernetes cluster manager with OpenShift’s developer- and operational-centric tools. Discover how this infrastructure-agnostic container management platform can help companies navigate the murky area where infrastructure-as-code ends and application automation begins. Get an application-centric view of automation—and understand why it’s important Learn patterns and practical examples for managing continuous deployments such as rolling, A/B, blue-green, and canary Implement continuous integration pipelines with OpenShift’s Jenkins capability Explore mechanisms for separating and managing configuration from static runtime software Learn how to use and customize OpenShift’s source-to-image capability Delve into management and operational considerations when working with OpenShift-based application workloads Install a self-contained local version of the OpenShift environment on your computer

Building Big Data Pipelines with Apache Beam

Author : Jan Lukavsky
Publisher : Packt Publishing Ltd
ISBN 13 : 1800566565
Total Pages : 342 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Building Big Data Pipelines with Apache Beam by : Jan Lukavsky

Download or read book Building Big Data Pipelines with Apache Beam written by Jan Lukavsky and published by Packt Publishing Ltd. This book was released on 2022-01-21 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement, run, operate, and test data processing pipelines using Apache Beam Key FeaturesUnderstand how to improve usability and productivity when implementing Beam pipelinesLearn how to use stateful processing to implement complex use cases using Apache BeamImplement, test, and run Apache Beam pipelines with the help of expert tips and techniquesBook Description Apache Beam is an open source unified programming model for implementing and executing data processing pipelines, including Extract, Transform, and Load (ETL), batch, and stream processing. This book will help you to confidently build data processing pipelines with Apache Beam. You'll start with an overview of Apache Beam and understand how to use it to implement basic pipelines. You'll also learn how to test and run the pipelines efficiently. As you progress, you'll explore how to structure your code for reusability and also use various Domain Specific Languages (DSLs). Later chapters will show you how to use schemas and query your data using (streaming) SQL. Finally, you'll understand advanced Apache Beam concepts, such as implementing your own I/O connectors. By the end of this book, you'll have gained a deep understanding of the Apache Beam model and be able to apply it to solve problems. What you will learnUnderstand the core concepts and architecture of Apache BeamImplement stateless and stateful data processing pipelinesUse state and timers for processing real-time event processingStructure your code for reusabilityUse streaming SQL to process real-time data for increasing productivity and data accessibilityRun a pipeline using a portable runner and implement data processing using the Apache Beam Python SDKImplement Apache Beam I/O connectors using the Splittable DoFn APIWho this book is for This book is for data engineers, data scientists, and data analysts who want to learn how Apache Beam works. Intermediate-level knowledge of the Java programming language is assumed.

Continuous Delivery with Docker and Jenkins

Author : Rafal Leszko
Publisher : Packt Publishing Ltd
ISBN 13 : 1787126145
Total Pages : 326 pages
Book Rating : 4.7/5 (871 download)

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Book Synopsis Continuous Delivery with Docker and Jenkins by : Rafal Leszko

Download or read book Continuous Delivery with Docker and Jenkins written by Rafal Leszko and published by Packt Publishing Ltd. This book was released on 2017-08-24 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the combination of Docker and Jenkins in order to enhance the DevOps workflow About This Book Build reliable and secure applications using Docker containers. Create a complete Continuous Delivery pipeline using Docker, Jenkins, and Ansible. Deliver your applications directly on the Docker Swarm cluster. Create more complex solutions using multi-containers and database migrations. Who This Book Is For This book is indented to provide a full overview of deep learning. From the beginner in deep learning and artificial intelligence to the data scientist who wants to become familiar with Theano and its supporting libraries, or have an extended understanding of deep neural nets. Some basic skills in Python programming and computer science will help, as well as skills in elementary algebra and calculus. What You Will Learn Get to grips with docker fundamentals and how to dockerize an application for the Continuous Delivery process Configure Jenkins and scale it using Docker-based agents Understand the principles and the technical aspects of a successful Continuous Delivery pipeline Create a complete Continuous Delivery process using modern tools: Docker, Jenkins, and Ansible Write acceptance tests using Cucumber and run them in the Docker ecosystem using Jenkins Create multi-container applications using Docker Compose Managing database changes inside the Continuous Delivery process and understand effective frameworks such as Cucumber and Flyweight Build clustering applications with Jenkins using Docker Swarm Publish a built Docker image to a Docker Registry and deploy cycles of Jenkins pipelines using community best practices In Detail The combination of Docker and Jenkins improves your Continuous Delivery pipeline using fewer resources. It also helps you scale up your builds, automate tasks and speed up Jenkins performance with the benefits of Docker containerization. This book will explain the advantages of combining Jenkins and Docker to improve the continuous integration and delivery process of app development. It will start with setting up a Docker server and configuring Jenkins on it. It will then provide steps to build applications on Docker files and integrate them with Jenkins using continuous delivery processes such as continuous integration, automated acceptance testing, and configuration management. Moving on you will learn how to ensure quick application deployment with Docker containers along with scaling Jenkins using Docker Swarm. Next, you will get to know how to deploy applications using Docker images and testing them with Jenkins. By the end of the book, you will be enhancing the DevOps workflow by integrating the functionalities of Docker and Jenkins. Style and approach The book is aimed at DevOps Engineers, developers and IT Operations who want to enhance the DevOps culture using Docker and Jenkins.

Piping Systems & Pipeline

Author : Phillip Ellenberger
Publisher : McGraw Hill Professional
ISBN 13 : 0071469699
Total Pages : 270 pages
Book Rating : 4.0/5 (714 download)

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Book Synopsis Piping Systems & Pipeline by : Phillip Ellenberger

Download or read book Piping Systems & Pipeline written by Phillip Ellenberger and published by McGraw Hill Professional. This book was released on 2005-05-13 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Piping Systems & Pipeline Code establishes rules of the design, inspection, maintenance and repair of piping systems and pipelines throughout the world. The objective of the rules is to provide a margin for deterioration in service. Advancements in design and material and the evidence of experience are constantly being added by Addenda. Based on a popular course taught by author and conducted by the ASME, this book will center on the on the practical aspects of piping and pipeline design, integrity, maintenance and repair. This book will cover such topics as: inspection techniques, from the most common (PT, MT, UT, RT, MFL pigs) to most recent (AE, PED, UT pigs and multi pigs), the implementation of integrity management programs, periodic inspections and evaluation of results

Hands-On Cloud Solutions with Azure

Author : Greg Leonardo
Publisher : Packt Publishing Ltd
ISBN 13 : 1786460203
Total Pages : 224 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Hands-On Cloud Solutions with Azure by : Greg Leonardo

Download or read book Hands-On Cloud Solutions with Azure written by Greg Leonardo and published by Packt Publishing Ltd. This book was released on 2018-10-31 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design effective Azure architecture and transform your IT business solutions Key FeaturesDevelop a resilient and robust cloud environmentDeploy and manage cost-effective and highly available solutions on your public cloudDesign and implement enterprise-level cloud solutionsBook Description Azure provides cloud-based solutions to support your business demands. Building and running solutions on Azure will help your business maximize the return on investment and minimize the total cost of ownership. Hands-On Cloud Solutions with Azure focuses on addressing the architectural decisions that usually arise when you design or migrate a solution to Microsoft Azure. You will start by designing the building blocks of infrastructure solution on Azure, such as Azure compute, storage, and networking, followed by exploring the database options it offers. You will get to grips with designing scalable web and mobile solutions and understand where to host your Active Directory and Identity Solution. Moving on, you’ll learn how to extend DevOps to Azure. You will also beneft from some exciting services that enable extremely smooth operations and streamlined DevOps between on-premises and cloud. The book will help you to design a secure environment for your solution, on both the Cloud and hybrid. Toward the end, you’ll see how to manage and monitor cloud and hybrid solutions. By the end of this book, you will be armed with all the tools and knowledge you need to properly plan and design your solutions on Azure, whether it’s for a brand new project or migration project. What you will learnGet started with Azure by understanding tenants, subs, and resource groupsDecide whether to “lift and shift” or migrate appsPlan and architect solutions in AzureBuild ARM templates for Azure resourcesDevelop and deploy solutions in AzureUnderstand how to monitor and support your application with AzureMake your life easier with Azure best practices and tipsWho this book is for If you’re an IT consultant, developer, or solutions architect looking to design effective solutions for your organization, this book is for you. Some knowledge of cloud computing will assist with understanding the key concepts covered in this book.

Kubeflow for Machine Learning

Author : Trevor Grant
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492050075
Total Pages : 264 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Kubeflow for Machine Learning by : Trevor Grant

Download or read book Kubeflow for Machine Learning written by Trevor Grant and published by "O'Reilly Media, Inc.". This book was released on 2020-10-13 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature preparation, and model training to model serving. This guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data engineers how to make models scalable and reliable. Using examples throughout the book, authors Holden Karau, Trevor Grant, Ilan Filonenko, Richard Liu, and Boris Lublinsky explain how to use Kubeflow to train and serve your machine learning models on top of Kubernetes in the cloud or in a development environment on-premises. Understand Kubeflow's design, core components, and the problems it solves Understand the differences between Kubeflow on different cluster types Train models using Kubeflow with popular tools including Scikit-learn, TensorFlow, and Apache Spark Keep your model up to date with Kubeflow Pipelines Understand how to capture model training metadata Explore how to extend Kubeflow with additional open source tools Use hyperparameter tuning for training Learn how to serve your model in production