10 Ways To Accelerate DevOps With AI

10 WAYS TO ACCELERATE DEVOPS WITH AI • Software programming has evolved over the decades and consequently, testing, which is an integral part of software development, has also undergone a series of changes.

• It all started with ad-hoc testing by developers and testers, traversing through the era of manual and automation testing, to continuous testing which is integral for DevOps. The introduction of artificial intelligence in software testing opened doors for faster and reliable testing solutions which helped in delivering high-quality end products.

10 ways to accelerate DevOps with AI

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DevOps helps organizations in keeping pace with the market dynamics by building, testing, and releasing the software faster. Multiple build-test-release cycles generate massive data which is then monitored and analyzed for improvising the next cycle.

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It is difficult to sift through such a huge amount of data manually after every cycle, especially if the time is of the essence. DevOps augmented with AI is a perfect solution to improvise and speed up CI/CD/CT pipeline in a reliable manner. This is just one example where AI aids in increasing DevOps efficiency. There are more ways in which AI can help in accelerating DevOps, covered in the entailing section.

■ Api testing package analyzer provides a continuous feedback loop that ensures that requirement changes are traced at every level and updated accordingly.

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