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Metrics
Kubernetes spend is growing faster than the rate of user acquisition.
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We've hit diminishing returns on code coverage with respect to runtime errors.
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Pete excels at writing test code, but lags in new feature functionality contributions.
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Error rates more strongly correlate with cluster size than with CI fail rates. Problematic.
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The Feature Collaboration Index is a good predictor of Developer satisfaction.
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Serverless workloads are a fifth more cost effective on a dollar per request basis.
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AI coding assistants only increase commit impact for junior developers.
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Epic size is more strongly inversely correlated to deadline rates than the industry average.
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Far more incidents are due to infrastructure issues than to code issues.
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This Kubernetes Deployment depends on several archived repos.
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The level of developer specialization has fallen to safe levels.