How to leverage modern software testing skills in DevOps

Software testing, a crucial yet often challenging step in the software development lifecycle, is undergoing a transformation with the rise of test automation and new technologies like artificial intelligence and machine learning. Despite its importance, testing has historically been a bottleneck in development, leading to significant financial losses, as highlighted by a $1.6 trillion cost from software failures in the U.S. in 2019 alone. To improve testing efficiency, DevOps teams are encouraged to integrate manual testing principles into automated testing, focus on business goals, and embrace a data-driven approach. Certification programs and training can further enhance skills, while a deep understanding of AI/ML can optimize test automation processes. By prioritizing relevant metrics, such as pipeline stability and bug resolution time, organizations can better manage the increased data from automation and enhance their testing capabilities, offering testers a chance to elevate their roles within DevOps.

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