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Summary
The article argues that successful progressive delivery relies on establishing robust feedback loops that go beyond just monitoring deployments – they need to encompass user behavior, business metrics, and technical performance. It details how to design these loops, emphasizing quick iteration and learning through experimentation, and highlights the importance of observability and automated analysis to effectively respond to feedback and continuously improve software delivery.
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This article originally appeared on Datadog | The Monitor blog.
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