aws-samples / kda-flink-app-autoscaling
This repo demonstrates how to use AWS application auto-scaling to implement custom-scaling in your Kinesis Data Analytics for Apache Flink applications
Summary
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| Main Code: 1,061 LOC (4 files) = PY (52%) + YAML (47%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 53 LOC (3); Other: 77 LOC (5); |
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| Duplication: 83% | |||
| File Size: 0% long (>1000 LOC), 0% short (<= 200 LOC) | |||
| Unit Size: 23% long (>100 LOC), 24% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 45% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (2 components) | ||
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1 year, 8 months 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: 2020-07-07
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