aws-samples / amazon-devopsguru-samples
Amazon DevOps Guru applies machine learning to analyze your operational data and application metrics and events to identify behaviors that deviate from normal operating patterns. For each issue, DevOps Guru presents intelligent recommendations to address current and predicted future operational issues.
Summary
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| Main Code: 309 LOC (9 files) = YAML (57%) + YML (36%) + PY (5%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 99 LOC (4); |
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| Duplication: 36% | |||
| File Size: 0% long (>1000 LOC), 100% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 100% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 100% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (3 components) | ||
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1 year, 1 month old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
Latest commit date: 2021-10-19
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