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![What is DevOps test automation?](https://assets.roadmap.sh/guest/devops-test-automation-nvpbi.jpg)
DevOps is a combination of cultural practices, tools, and processes that bridge the gap between development and operations teams. It aims to improve collaboration, automate workflows, and streamline the delivery of high-quality software.
Long gone are the days when putting a new feature into production meant 3 months of planning, coordination, and careful delivery. The industry has evolved into a new, faster, and more agile way of working.
The ability to deliver software quickly and reliably can make or break a business these days. Whether by responding to customer needs, addressing security vulnerabilities, or launching innovative features, the speed at which you get there is critical. This is where test automation within the DevOps framework plays a pivotal role—it helps teams accelerate delivery without sacrificing quality.
Instead of waiting for months before pushing something into production, companies are now able to do it multiple times a day, any day (even Fridays!).
Dont believe me? Let me explain.
All of that is thanks to DevOps test automation, or in other words, thanks to the ability to include tests into the DevOps pipeline. That allows teams to confidently promote to production code that is tested and validated by a machine.
How does that all work? Lets dive in and Ill explain it all.
## What is DevOps Test Automation?
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### Key Components of DevOps Test Automation
1. **Continuous Integration (CI):** Continuous Integration is a DevOps practice where developers frequently merge their code changes into a shared repository. With each integration, an automated build and test process is triggered. The goals of CI include:
1. **Continuous Integration (CI):** Continuous Integration is a [DevOps](https://roadmap.sh/devops) practice where developers frequently merge their code changes into a shared repository. With each integration, an automated build and test process is triggered. The goals of CI include:
* Catching issues early by testing incremental code changes.
* Ensuring that new changes dont break the existing codebase.
* Reducing integration problems by addressing conflicts early and often.