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Making Continuous Integration Work for You Many developers learn about using continuous integration to improve their deliverability speed and decrease the amount of effort needed to launch new features. Actually practicing continuous integration, however, is nowhere near as straightforward as it sounds. Here's how to get started in making CI work for you. |
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Use Input Data, Output Data, and Analytics to Drive Your Testing The industry keeps growing in complexity, and there are more things than ever that need to be tested. By studying the data you have and making use of modern analytics, you can allow your team to run more smoothly, complete certain tasks with fewer resources, and give yourself a clearer lane to better software. |
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4 Key Factors Driving Digital Transformation There are so many strong reasons why digital transformation has become big, but many organizations are missing a major opportunity by simply running digital projects instead of fully transforming the organization itself—similar to doing some agile things without actually committing to being agile. |
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Data Means Nothing if You Don’t Know How to Use, Analyze, and Interpret It Simply having data stowed away and ready to use when needed is great and all, but if you don’t have a smart strategy for how to not only analyze and interpret it, but also put it to proper use, then you may end up creating a connected ecosystem without a real purpose. |
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Using Feature Flags to Boost Testing and Deployment A feature flag is a configuration setting that lets you turn a given feature on or off. There is no need for a feature to be complete before you can start testing—as soon as the first piece of code is merged, you can turn the flag on in your test environment and begin. This also reduces risk. Do you use feature flags? |
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Ensure That Your Current Cloud Solution Will Stand the Test of Time It’s still early in the lifecycle of cloud adoption. This means certain cloud vendors and technologies will fall by the wayside as adoption takes on critical mass. How, then, do you future-proof your cloud solution to make sure you don’t make a decision that you’ll regret later? Here are three ideas to consider. |
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Data-Driven Testing Skills in an Agile and DevOps World For agile and DevOps, an understanding of the role of data analysis in the test strategy is helping teams accelerate development, testing, and deployments. As we continue to enhance our testing effectiveness, data analytics skills are an important dimension in managing risks in a “continuous everything” world. |
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The Value of Testing Simply People obsess over the number of tests and test coverage, but tests that cover more code don’t always improve quality. Some tests have low value and thus, implicitly, high cost. Simple tests may not seem impressive at first glance. But the goal of testing is to ensure quality, and simple tests can be very valuable. |
