Deployment Automation
Return to Configuration Automation or Configuration Management
TLDR: Deployment automation refers to the use of scripts, tools, and pipelines to manage and execute the deployment of software to various environments, such as development, testing, and production, without manual intervention. This approach ensures consistent and efficient deployments, reduces human error, and accelerates release cycles, making it an essential practice in DevOps and modern software development workflows.
https://en.wikipedia.org/wiki/Software_deployment
Automation tools like Jenkins, GitLab CI/CD, and Ansible facilitate deployment automation by orchestrating tasks such as code packaging, environment configuration, and artifact deployment. Deployment strategies like blue-green deployment and canary releases can be integrated into automated pipelines to minimize downtime and mitigate risks during updates. By maintaining a standardized deployment process, deployment automation ensures that software behaves consistently across different environments.
Deployment automation enhances scalability and reliability, enabling teams to release updates rapidly in response to user feedback or business demands. It supports continuous delivery and continuous deployment (CD), where validated code changes are deployed directly to production. By simplifying the release process and improving collaboration between development and operations teams, deployment automation drives innovation and operational efficiency in software delivery.
https://aws.amazon.com/devops/continuous-delivery/