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What Makes SaaS, Agile, and DevOps a Powerful Combination? Companies unleash their true potential in today’s ever-changing, constantly evolving world through digital transformation. Implementation of cloud-based Software as a Service (SaaS), when combined with Agile methodology and DevOps, represents a strong value proposition |
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Lessons as a Proxy PO Sometimes a challenge can be turned into an opportunity. When our team learned that the business needed to pull their popular Product Owner to focus on another team, a sense of panic set in. There would be a job search that could and did take months. Who would help the team on their path to creating value in the interim? How would we operate? Over time, what seems to be a negative turn of events was turned upside down. |
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5 Tips to Take Your DevOps Pipeline Beyond the Basics The goal of a DevOps pipeline is to create a continuous workflow that includes the entire application lifecycle. But too often, people focus only on the tools and automating everything, not stopping to think whether their processes could further improve performance and efficiency. Let's look at some common challenges to continuous delivery and then learn five tips for refining your DevOps pipeline and taking it to the next level. |
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A Primer on Continuous Testing Continuous testing shortens feedback loops through automated testing that occurs throughout the development lifecycle—hence "continuous." Testing and QA become the responsibility of everyone working on the software, not just testers. Let's look at some proven practices from organizations that have used continuous testing effectively to realize tangible benefits. |
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Using Kubernetes for Container Orchestration in DevOps 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. |
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5 Reasons Enterprise Test Automation Is So Challenging Most organizations understand that test automation is essential for modern application delivery processes. They’re just not sure how to make it a reality in an enterprise environment without exorbitant overhead and massive disruption. Enterprise organizations typically achieve small victories, but the process ultimately decays due to challenges in five main areas. Understanding these challenges will help us overcome them. |
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Fitting In Regression Testing by Shifting QA Left 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. |
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A Tester's Role in AIOps “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. |
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How Continuous Testing Is Done in DevOps 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. |
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Applying Data Analytics to Test Automation 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. |
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