Continuous Delivery (CD)
Continuous delivery (CD) is a software engineering approach in which teams produce software in short cycles, ensuring that the software can be reliably released at any time and, following a pipeline through a "production-like environment", without doing so manually. It aims at building, testing, and releasing software with greater speed and frequency. The approach helps reduce the cost, time, and risk of delivering changes by allowing for more incremental updates to applications in production. A straightforward and repeatable deployment process is important for continuous delivery.
Continuous delivery contrasts with continuous deployment (also abbreviated CD), a similar approach in which software is also produced in short cycles but through automated deployments even to production rather than requiring a "click of a button" for that last step. As such, continuous deployment can be viewed as a more complete form of automation than continuous delivery.
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Integration of multiple GH hosted submodules to trigger builds on the main project at circle-ci.
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Mar 5, 2015 - JavaScript
Presentation slides: Continuous Delivery with Docker and Jenkins
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The Kubernetes Continuous Integration & Delivery Platform (CI/CD) 🔄
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A seed project for a docker based continuous delivery pipeline using CircleCI and Google Cloud Platform
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Exploitation Scripts
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Continuous deployment pipeline for Lumen / Laravel applications using GitLab and AWS Elastic Beanstalk
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Automated build using Jenkins, Travis, Docker and Nordic code
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A Infrastructure-as-Data example
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web client for maestro builds
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The deploy sample for Bluemix apps
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Moya + IGListKit + TDD. Waffle.io to manages. Buddybuild, Bitrise for CI/CD. Quick+Nimble for TDD
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Kubernetes replication controller and AWS ECR auto deploy image.
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Continuous Integrations, Continuous Delivery and Continuous Deployment with .NET WebApi and AppVeyor
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Manager Daemon for maestro https://github.com/cpg1111/maestro
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🚀 Instant Heroku deploys from GitHub branches
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Swarm CI - Docker Swarm-based CI system or enhancement to existing systems.
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Feb 24, 2017 - Python
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