There is no silver bullet: how to choose engineering practices for the Time-to-Market bottleneck
Summary
This article discusses how to choose engineering practices based on the specific bottleneck affecting Time-to-Market. It frames Time-to-Market as a practical metric and uses DORA and the DORA Core Model to separate capabilities, performance, and outcomes. The piece walks through ways to identify whether the main constraint sits in discovery, delivery, process time, backlog time, or delay time, and it links those constraints to different engineering interventions. It also references tooling and practices such as Jira data analysis, test automation, disaster recovery, infrastructure as code, and AI-related improvements. The main message is that there is no universal fix, so teams should target the bottleneck that most affects delivery speed.
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