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Elite Performance Is Wasted on Feature Factories
- Elite performance in DevOps is about running more experiments with high confidence to enable organizational learning.
- Achieving elite performance involves deploying early, often, with low failure rates, and fast recovery in DevOps.
- Elite performers in DevOps can deploy many times a day with lead times under an hour, low failure rates, and fast recovery times.
- Embedding technical practices like continuous delivery is essential for achieving elite performance in software delivery.
- Feature-driven teams in software development can fall into the trap of delivering every feature request, leading to software failure.
- Experimental teams focus on maximizing learning through iterative experimentation and removing what doesn't work.
- Continuous delivery contributes to shorter feedback cycles and aims to create impact rather than just more features.
- Short feedback loops in software development decrease risk, reduce rework, improve well-being, and maximize learning.
- Delayed feedback in software development can lead to hidden market risks and accumulation of proxy feedback.
- Case study comparisons show the importance of an experimental approach in achieving desired outcomes and learning from attempts.
- Elite performance allows for fluid experimentation and faster accumulation of knowledge in software development.
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