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DevOps is about balancing tools, processes, and people. As teams roll out tooling to support their DevOps processes, developers are experiencing huge gains in the form of increased velocity and operational efficiencies. In some cases, though, this can come with a price in the form of reduced quality assurance.
Quality is the entire team’s responsibility, but QA professionals know the processes and techniques needed to right-size testing, identify and track bugs quickly, and discover the root of a problem.
This web seminar will use real-world examples to show how virtualization, cloud technologies, artificial intelligence, and analytics are converging to lower the barriers to delivering functional and performance automation at scale.
You will learn how to:
- Use continuous integration for pipeline-driven continuous testing
- Implement performance and functional validation for continuous testing
- Make virtualization, cloud technologies, and AI part of your environment
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Maintaining Software Quality while Scaling DevOps
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