Continuous Delivery Jez Humble Epub 21 UPD
Perry Barillari
A common problem that's faced by most developers is how to release the implemented code quickly and safely. The delivery process that's traditionally used is a source of pitfalls and usually leads to the disappointment of both developers and clients. This chapter will present the idea of the continuous delivery (CD) approach and provide the context for the rest of this book.
To be able to deliver continuously, and not spend a fortune on the army of operations teams working 24/7, we need automation. That is why, in short, CD is all about changing each phase of the traditional delivery process into a sequence of scripts called the automated deployment pipeline, or the CD pipeline. Then, if no manual steps are required, we can run the process after every code change and deliver the product continuously to users.
Needless to say, we could achieve all these benefits simply by eliminating all the delivery phases and proceeding with development directly from production. However, this would result in a reduction in quality. The whole difficulty of introducing CD is the concern that the quality would decrease alongside eliminating any manual steps. In this book, we will show you how to approach CD safely and explain why, contrary to common beliefs, products that are delivered continuously contain fewer bugs and are better adjusted to the customer's needs.
There are techniques, such as feature toggles or manual pipeline steps, that help with releasing features at the specified time. We will describe them later in this book. To be precise, the term continuous delivery is not the same as continuous deployment. The latter means that each commit to the repository is automatically released to production. Continuous delivery is less strict and means that each commit ends up with a release candidate, so it allows the last step (from release to production) to be manual.
Abstract:Ensuring a production-ready state of the application under development is the imminent feature of the Continuous Delivery (CD) approach. In a blockchain network, nodes communicate and store data in a distributed manner. Each node executes the same business application but operates in a distinct execution environment. The literature lacks research focusing on continuous practices for blockchain and Distributed Ledger Technology (DLT). Specifically, it lacks such works with support for both design and deployment. The author has proposed a solution that takes into account the continuous delivery of a business application to diverse deployment environments in the DLT network. As a result, two continuous delivery pipelines have been implemented using the Jenkins automation server. The first pipeline prepares a business application whereas the second one generates complete node deployment packages. As a result, the framework ensures the deployment package in the actual version of the business application with the node-specific up-to-date version of deployment configuration files. The Smart Contract Design Pattern has been used when building a business application. The modeling aspect of blockchain network installation has required using Unified Modeling Language (UML) and the UML Profile for Distributed Ledger Deployment. The refined model-to-code transformation generates deployment configurations for nodes. Both the business application and deployment configurations are stored in the GitHub repositories. For the sake of verification, tests have been conducted for the electricity consumption and supply management system designed for prosumers of renewable energy.Keywords: blockchain; continuous delivery; 1+5 architectural views model; model-driven development
Incremental change relies on continuous delivery practices like deployment pipelines, mature DevOps, good testing culture, and other current agile engineering best practices. When combined with a granular, modular architecture, incremental change allows developers to make small modifications at the architectural level without breaking unrelated pieces. Incremental change is the machinery that enables evolutionary architectures to evolve.
Continuous Delivery with Docker and Jenkins, Second Edition will explain the advantages of combining Jenkins and Docker to improve the continuous integration and delivery process of an 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.
Hai Dam is currently working as a DevOps Engineer for Tomochain, a blockchain company and the most efficient platform for the token economy. He possesses a master's degree in information technology and is an AWS Certified Solutions Architect-Professional, holding two certifications. He has expertise in technologies such as operating systems, source code management, build and release tools, continuous integration/deployment/delivery tools, containers, configuration management tools, monitoring, logging tools, and public/private clouds.
Chapter 8, Continuous Delivery Pipeline, focuses on the missing parts of the final pipeline, which are the environments and infrastructure, application versioning, and non-functional testing. Once this chapter has been concluded, the complete continuous delivery pipeline will be ready.
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