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 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
About the Author
Stephen Chin is Head of Developer Relations at JFrog and author of The Definitive Guide to Modern Client Development, Raspberry Pi with Java, and Pro JavaFX Platform. He has keynoted numerous Java conferences around the world including Devoxx, JNation, JavaOne, Joker, and Open Source India. Stephen is an avid motorcyclist who has done evangelism tours in Europe, Japan, and Brazil, interviewing hackers in their natural habitat. When he is not traveling, he enjoys teaching kids how to do embedded and robot programming together with his teenage daughter. You can follow his hacking adventures at: http://steveonjava.com/.
Melissa McKay is currently a Developer Advocate with the JFrog Developer Relations team. She has been active in the software industry 20 years and her background and experience spans a slew of technologies and tools used in the development and operation of enterprise products and services. Melissa is a mom, software developer, Java geek, huge promoter of Java UNconferences, and is always on the lookout for ways to grow, learn, and improve development processes. She is active in the developer community, has spoken at CodeOne, Java Dev Day Mexico and assists with organizing the JCrete and JAlba Unconferences as well as Devoxx4Kids events.
Ixchel Ruiz has developed software applications and tools since 2000. Her research interests include Java, dynamic languages, client-side technologies, and testing. She is a Java Champion, Groundbreaker Ambassador, Hackergarten enthusiast, open source advocate, JUG leader, public speaker, and mentor.
Baruch Sadogursky (a.k.a JBaruch) is the Chief Sticker Officer @JFrog (also, Head of DevOps Advocacy) at JFrog. His passion is speaking about technology. Well, speaking in general, but doing it about technology makes him look smart, and 19 years of hi-tech experience sure helps. When he’s not on stage (or on a plane to get there), he learns about technology, people and how they work, or more precisely, don’t work together.
He is a co-author of the Liquid Software book, a CNCF ambassador and a passionate conference speaker on DevOps, DevSecOps, digital transformation, containers and cloud-native, artifact management and other topics, and is a regular at the industry’s most prestigious events including DockerCon, Devoxx, DevOps Days, OSCON, Qcon, JavaOne and many others. You can see some of his talks at jfrog.com/shownotes
See: Continuous Delivery for Java Apps: Build a CD Pipeline Step by Step Using Kubernetes, Docker, Vagrant, Jenkins, Spring, Maven and Artifactory, Publisher : Leanpub (December 14, 2017)
This book will guide you through the implementation of the real-world Continuous Delivery using top-notch technologies. Instead of finishing this book thinking “I know what Continuous Delivery is, but I have no idea how to implement it”, you will end up with your machine set up with a Kubernetes cluster running Jenkins Pipelines in a distributed and scalable fashion (each Pipeline run on a new Jenkins slave dynamically allocated as a Kubernetes pod) to test (unit, integration, acceptance, performance and smoke tests), build (with Maven), release (to Artifactory), distribute (to Docker Hub) and deploy (on Kubernetes) a Spring Boot app to testing, staging and production environments implementing the Canary Release deployment pattern.
TABLE OF CONTENTS:
INTRODUCTION Agile Scrum Scrum and Continuous Integration Deployed vs Released Scrum and Continuous Delivery XP and Continuous Delivery Automated Tests Continuous Integration Feature Branch Continuous Delivery Continuous Delivery Pipeline Continuous Delivery vs Continuous Deployment Canary Release A/B Tests Feature Flags
NOTEPAD APP: AUTOMATED TESTS, MAVEN AND FLYWAY Pre-Requisites The Notepad Application Automated Tests Unit Tests Integration Tests Acceptance Tests Page Object Distributed Acceptance Tests with Selenium-Grid Smoke Tests Performance Tests with Gatling.io Apache Maven Maven Snapshot vs Release The Default Lifecycle and its Phases Maven Repositories Repository Manager (Artifactory) Maven Plugins: Surefire and Failsafe Maven Profile Running Unit Tests Running Integration Tests Running Acceptance Tests Running Smoke Tests Running Performance Tests Publish Artifacts to Artifactory with Maven Publish a Snapshot to Artifactory Publish a Release to Artifactory The release:prepare Goal The release:perform Goal Flyway
DOCKER Introduction to Docker Difference Between Container and Image Docker Hub Create your Account Official Docker Repositories Image Tags Non-Official Docker Images Create a Repository, an Image and Push it to Docker Hub Running Containers on Docker Running Containers as Daemons Container Clean Up Naming Containers Exposing Ports Persistent Data with Volumes Environment Variables Docker Networking Create a Bridge Network Container Static IP Address Linking Containers Most Used Docker Commands Images Containers Misc Building Docker Images: Dockerfile
JENKINS: PIPELINE AS CODE AND CHATOPS Jenkins Overview Jenkins Concepts Job (or Project) Build Artifact Workspace Executor Plugin Node, Master, and Agent (or Slave) ChatOps Create a Slack Workspace Integrate Slack with Jenkins Slack Notification Plugin Use Hubot to Interact with Jenkins Jenkins Pipeline Declarative Pipeline vs Scripted Pipeline Scripted Pipeline Using Docker with Jenkins Pipelines Running Docker from Within the Jenkins Container Scaling Jenkins with Slaves
KUBERNETES Why Kubernetes? Set up a Kubernetes Cluster using Vagrant Hands-on Introduction to Kubernetes Kubernetes Concepts Namespaces Pods Labels Replica Sets Services Service Discovery using DNS Service Discovery using Namespaces Volumes Handling External Configurations Config Maps Changing Logback Log Level at Runtime Secrets Using Secrets as Environment Variables Using Secrets as Files from a Pod Deployments Readiness Probes Liveness Probes Canary Release Kubernetes Architecture Kubernetes Master Components Etcd API Server Controller Manager Scheduler Kubernetes Node Components Service Proxy Kubelet cAdvisor Kubernetes Add-ons Web UI (Dashboard) Monitoring Kubernetes with Heapster, InfluxDB and Grafana Web UI Overview DNS
“A DevOps toolchain is a set or combination of tools that aid in the delivery, development, and management of software applications throughout the systems development life cycle, as coordinated by an organization that uses DevOps practices.
“In software, a toolchain is the set of programming tools that is used to perform a complex software development task or to create a software product, which is typically another computer program or a set of related programs. In general, the tools forming a toolchain are executed consecutively so the output or resulting environment state of each tool becomes the input or starting environment for the next one, but the term is also used when referring to a set of related tools that are not necessarily executed consecutively.[3][4][5]
As DevOps is a set of practices that emphasizes the collaboration and communication of both software developers and other information technology (IT) professionals, while automating the process of software delivery and infrastructure changes, its implementation can include the definition of the series of tools used at various stages of the lifecycle; because DevOps is a cultural shift and collaboration between development and operations, there is no one product that can be considered a single DevOps tool. Instead a collection of tools, potentially from a variety of vendors, are used in one or more stages of the lifecycle.[6][7]” (WP)
Plan is composed of two things: “define” and “plan”.[8] This activity refers to the business value and application requirements. Specifically “Plan” activities include:
Tools and vendors in this category often overlap with other categories. Because DevOps is about breaking down silos, this is reflective in the activities and product solutions.[clarification needed]
Verify
Verify is directly associated with ensuring the quality of the software release; activities designed to ensure code quality is maintained and the highest quality is deployed to production.[8] The main activities in this are:
Packaging refers to the activities involved once the release is ready for deployment, often also referred to as staging or Preproduction / “preprod”.[8] This often includes tasks and activities such as:
Approval/preapprovals
Package configuration
Triggered releases
Release staging and holding
Release
Release related activities include schedule, orchestration, provisioning and deploying software into production and targeted environment.[9] The specific Release activities include:
Configure activities fall under the operation side of DevOps. Once software is deployed, there may be additional IT infrastructure provisioning and configuration activities required.[8] Specific activities including:
Infrastructure storage, database and network provisioning and configuring
Monitoring is an important link in a DevOps toolchain. It allows IT organization to identify specific issues of specific releases and to understand the impact on end-users.[8] A summary of Monitor related activities are:
Information from monitoring activities often impacts Plan activities required for changes and for new release cycles.
Version Control
Version Control is an important link in a DevOps toolchain and a component of software configuration management. Version Control is the management of changes to documents, computer programs, large web sites, and other collections of information.[8] A summary of Version Control related activities are:
Non-linear development
Distributed development
Compatibility with existent systems and protocols
Toolkit-based design
Information from Version Control often supports Release activities required for changes and for new release cycles.
^ Garner Market Trends: DevOps – Not a Market, but Tool-Centric Philosophy That supports a Continuous Delivery Value Chain (Report). Gartner. 18 February 2015.
^ abcdefg Avoid Failure by Developing a Toolchain that Enables DevOps (Report). Gartner. 16 March 2016.
^ Best Practices in Change, Configuration and Release Management (Report). Gartner. 14 July 2010.
^ Roger S. Pressman (2009). Software Engineering: A Practitioner’s Approach (7th International ed.). New York: McGraw-Hill.