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DevOps QA is a methodology that combines the principles of DevOps and Quality Assurance (QA) to improve software development and delivery processes. It involves collaboration and communication between the development and operations teams to ensure that software is delivered with high quality, on time and within budget.
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In a traditional software development process, the development and QA teams work separately, which can lead to delays and errors in the software delivery process. However, in DevOps QA, the development and QA teams work together from the beginning of the development process to ensure that the software is tested thoroughly and any issues are addressed early on.
DevOps QA also involves the use of automation tools for testing and deployment, which can help to speed up the software delivery process and reduce errors. Continuous Integration and Continuous Deployment (CI/CD) pipelines are commonly used in DevOps QA to automate the build, test, and deployment processes.
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Overall, DevOps QA aims to create a culture of collaboration, communication, and automation to improve software development and delivery processes, and to ensure that software is delivered with high quality and at a faster pace.
An automated build pipeline is a software development process that automates the building, testing, and deployment of software applications. It involves a series of steps that are executed automatically, typically triggered by changes in the code repository, to ensure that the code is built, tested, and deployed in a consistent and reliable manner.
CI/CD integration of test scripts is a software development process that combines Continuous Integration/Continuous Deployment (CI/CD) with automated testing. It involves the use of automated testing tools and frameworks to create tests that can be integrated into the CI/CD pipeline, ensuring that code changes are thoroughly tested and validated before they are deployed to production.
Automated notification refers to the process of using automated tools and systems to send notifications or alerts to users, teams or stakeholders in a software development process. These notifications can be triggered by various events, such as when code changes are made, tests are completed, or deployments are successful.
System monitoring refers to the process of continuously monitoring the performance, health, and availability of a computer system, network, or application. It involves the use of tools and software to collect data on various system metrics, such as CPU usage, memory usage, network traffic, and application response times.