Continuous Delivery In Java


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Continuous Delivery in Java


Continuous Delivery in Java

Author: Daniel Bryant

language: en

Publisher: "O'Reilly Media, Inc."

Release Date: 2018-11-09


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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

Continuous Delivery in Java


Continuous Delivery in Java

Author: Daniel Bryant

language: en

Publisher:

Release Date: 2018


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With the release of Java 8 and the availability of web/microservice frameworks such as Spring Boot, there's never been a better time to design and implement Java-powered applications. But Java is only a small piece of the puzzle when it comes to continuously delivering working applications to a production environment. This practical book charts the journey for establishing the practices and tooling to develop, operate and use a continuous delivery build pipeline for Java applications that will be deployed to a production such as Kubernetes, Cloud Foundry, and other cloud-based services. Each chapter focuses on a key practice within continuous delivery, and outlines appropriate tooling and describes how this should be utilized. Understand the process of continuous delivery, and how this impacts a Java application developer Develop a deeper understanding of core continuous delivery topics, and learn high-level tooling options Learn how to implement tooling choices, such as integrating a Jenkins server into the application delivery process, and unit testing effectively with JUnit and other options

DevOps Tools for Java Developers


DevOps Tools for Java Developers

Author: Stephen Chin

language: en

Publisher: "O'Reilly Media, Inc."

Release Date: 2022-04-15


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With the rise of DevOps, low-cost cloud computing, and container technologies, the way Java developers approach development today has changed dramatically. This practical guide helps you take advantage of microservices, serverless, and cloud native technologies using the latest DevOps techniques to simplify your build process and create hyperproductive teams. Stephen Chin, Melissa McKay, Ixchel Ruiz, and Baruch Sadogursky from JFrog help you evaluate an array of options. The list includes source control with Git, build declaration with Maven and Gradle, CI/CD with CircleCI, package management with Artifactory, containerization with Docker and Kubernetes, and much more. Whether you're building applications with Jakarta EE, Spring Boot, Dropwizard, MicroProfile, Micronaut, or Quarkus, this comprehensive guide has you covered. Explore software lifecycle best practices Use DevSecOps methodologies to facilitate software development and delivery Understand the business value of DevSecOps best practices Manage and secure software dependencies Develop and deploy applications using containers and cloud native technologies Manage and administrate source control repositories and development processes Use automation to set up and administer build pipelines Identify common deployment patterns and antipatterns Maintain and monitor software after deployment