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Containerization has replaced virtual machines to a great extent because containers are lightweight and make efficient use of the OS kernel. Docker’s efficient nature helps with software development, testing, delivery, and deployment in a DevOps environment, and all the benefits of Docker also apply to Kubernetes. Let’s explore some of the additional agile and DevOps benefits you can gain by using Kubernetes.

Fixing a bug in one area of the software may break something in another area. To detect whether defects have been introduced, we need to perform regression testing—executing certain test cases again to see whether a change has affected other existing features. But how do you make time for another testing cycle prior to every production release? You need to get QA involved earlier in the software development lifecycle.

Lightning Talks are a series of five-minute talks giving speakers the opportunity to deliver their single biggest bang-for-the-buck idea in a rapid-fire presentation. Watch all the Agile + DevOps East 2019 lightning keynote presentations in one place—and have some fun at the same time.

“AIOps” stands for “artificial intelligence in IT operations,” or using machine learning and data science to solve IT problems. AI can help with many IT functions, including detecting and remediating outages, monitoring availability and performance, and IT service management. Like with DevOps, a tester plays an important part with AIOps—they just have to determine what that is.

DevOps does speed up your processes and make them more efficient, but companies must focus on quality as well as speed. QA should not live outside the DevOps environment; it should be a fundamental part. If your DevOps ambitions have started with only the development and operations teams, it’s not too late to loop in testing. You must integrate QA into the lifecycle in order to truly achieve DevOps benefits.

Ryan Ripley, professional Scrum trainer at Scrum.org, chats with TechWell community manager Owen Gotimer about what Scrum is, some of the most common Scrum antipatterns, and the importance of connecting your Scrum team with your customer. Continue the conversation with Ryan and Owen (@owen) on the TechWell Hub (http://hub.techwell.com/)!

Testers gather lots of metrics about defect count, test case execution classification, and test velocity—but this information doesn't necessarily answer questions around product quality or how much money test efforts have saved. Testers can better deliver business value by combining test automation with regression analysis, and using visual analytics tools to process the data and see what patterns emerge.