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7월 14, 2016

Optimizing Continuous Integration and Delivery Using Advanced Analytics: Part 1

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What can you learn about your code base, the state of your dev process, automated tests, continuous integration and delivery, using log analytics and metrics. As software development teams move from waterfall development to continuous delivery, the artifact repository has become core to the delivery process where every change you submit to the repository is a potential release candidate. The ability to capture test results and then apply advanced analytics enables you to make decisions based on metadata and logs collected to prove that a release candidate is fit for production. That information can be fed into the automation process. Having a clear real-time view of those commits can also be invaluable in determining things like the overall health of your code base, deployments and team velocity.

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