Deployment Automation Overview
Deployment automation allows applications to be deployed across the various environments used in the development process, as well as the final production environments. This results in more efficient, reliable, and predictable deployments. Solutions that automate your deployment processes improve the productivity of both the Dev and Ops teams and enable them and the business to develop faster, accomplish more, and ultimately build better software that is deployed more frequently and functions more reliably for the end-user.
Main Benefits of Deployment Automation
- Repeatability – Every deployment deploys the same
- Fewer errors – Removing manual steps reduces human error
- Anyone can deploy – eliminate bottlenecks by removing the need for experts to do the work
- Work on what matters – developers can spend time working on new features, not on fixes for manual deployments
- Customer satisfaction – frequent updates with new features addresses customer needs sooner and keeps organizations competitive
- Lower costs – fewer errors, fewer human hours needed for deployments means lower costs
Deployment Automation Approaches
- Scripting – deployments can be automated by writing scripts which perform actions automatically on specific environments in a specific context. The scripting approach is simple but limited, because as soon as environments change, without careful ongoing maintenance, scripts will break and deployments can fail.
- Deployment with CI systems – continuous integration servers like Jenkins make it possible to deploy applications automatically as part of the build process. This is an extension of the scripting approach, because the CI system usually is not aware of the details of the application and the underlying environment, rather the CI system automatically triggers scripts which can deploy the application.
- Basic deployment tools – there are numerous tools that can deploy applications automatically, without requiring organizations to write and maintain scripts. However, these tools are typically suitable only for simpler applications that do not have multi-step or multi-component installations, because they do not have "orchestration" capabilities. So they cannot support deployments that have a sequence of steps occurring in a certain order with dependencies between different components. Also, the basic tools typically cannot fully model the underlying environment on which the application is installed.
- Model-driven deployment – the most advanced tools are able to package even the most complex software systems, model the environments on which these systems run, and orchestrate the deployment process across numerous software components, servers and installation steps. They also provide visibility, tracking and auditing into what happened in deployments across the organization.
- Continuous Deployment - an extreme form of deployment automation where numerous, or all, changes made in development undergo automated testing and are immediately deployed to production.
Deployment automation is closely tied to release automation. An essential part of releasing a software product is deploying it, first on development environments, then on QA and UAT environments, and finally on the real production environment, either on the developing organization's premises, on a customer's premises or on the cloud. Deployment automation is a central part of modern Application Release Automation tools, and an important facilitator of accelerating software release cycles from months to weeks or even days, as dictated by the agile software development approach.
Deployment Automation Best Practices and Approaches
Gartner Magic Quadrant: Application Release Automation
Deployment Automation and Management in ITIL
Deployment Automation Tools
See all Deployment Automation Tools
Deployment Automation in Specific Environments
Deployment Automation How To
Deployment Automation Using Specific Tools
See all resources on Deployment Automation Using Specific Tools
Deployment Automation Training
Deployment Automation Case Studies
Deployment Automation Consultants and Service Providers
- Software Deployment Process — Resources offering general descriptions of the deployment process, deployment in specific environments, how deployment works in specific tools, and examples of deployment processes at Amazon, GitHub and more.
- Software Deployment Best Practices — Resources offering software deployment best practices and guidelines, deployment recommendations for specific environments, and examples of deployment best practices used by real organizations.
- Software Deployment and Release Requirements — Resources on the relation and dependency between the requirements defined for a release, and the resulting deployments of that release.
- Compliance and Auditing in Software Deployment — Resources on how to manage deployments subject to regulation or contractual compliance, with the requirement to enable auditing by a third party.
- Deployment Verification — Resources on how to verify that a deployment or software package is of sufficient quality for its users.
- Examples of Software Deployment Process — Resources offering general descriptions of software deployment process, and examples of deployment processes at Amazon, GitHub and more.
- Software Deployment Process with Specific Technologies — Resources about how software deployment works in specific tools, including Octopus, Puppet, and other commercial and open-source technologies.
- Deployment Automation — Deployment automation allows applications to be deployed across the various environments used in the development process, as well as the final production environments.
- Deployment Automation Tools — Deployment Automation Tools help organizations improve the speed and quality of software releases, and address the challenges of manual software deployment.
- Continuous Deployment — Continuous Deployment is the practice of continuously pushing to production new versions of software under development.
- Model-Driven Deployments — Model Driven Deployments help organizations automate complex deployments, in order to speed up releases and increase software quality.
- Software Deployment Scripts — Resources on automating deployments using scripts, typically written in-house or repurposed by operations staff or release engineers.
- Deployment Automation Best Practices and Approaches — A comprehensive list of deployment automation best practices from leading experts of the field.
- Deployment Automation Using Specific Tools — A comprehensive list of Deployment Automation how to guidelines and tutorials using specific tools such as Docker, Ant, Jenkins and Capistrano.
- Deployment via Continuous Integration Tools — Resources on how to deploy software applications using Continuous Integration tools like Jenkins and TeamCity.
- Deployment Using Containers — Resources on how to deploy software applications using container frameworks such as Docker and CoreOS.
- Types of Software Deployments — Resources on how to deploy complex software on different contexts, environments and stacks.
- Deployments in the SDLC — Deploying software at different stages of the Software Development Lifecycle - development, testing and production.
- Deploying Locally, Virtualized or on the Cloud — Resources on how to deploy software to different computing models: local machines, virtualized machines or cloud instances.
- Deployment by Type of Application — Resources on how to deploy different types of applications, including web apps, mobile apps, and enterprise applications.
- Deployment by Stack — Resources on how to deploy applications on common technology stacks such as J2EE, LAMP and OpenStack.
- Deployment Planning — General resources on deployment planning, deployment in specific environments such as Geronimo, Oracle, WebSphere, and examples of deployment planning at real organizations.
- Examples of Deployment Planning — General resources on deployment planning, including detailed examples of software deployment planning at real organizations.
- Software Deployment Checklist — General resources on what a deployment checklist should contain, and specific checklists for general deployments, and for deploying in specific environments such as Google Cloud, Django and Drupal.
- Deployment Plan Template — Resources offering document templates that can be used to plan complex deployments, and examples of deployment templates used by real organizations.
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