Leveraging Amazon Application Auto Scaling you have now the possibility to interact to custom resources in order to automatically handle infrastructure or service resize. You will find a demo regarding how to integrate Amazon Application Auto Scaling with Amazon Kinesis Data Stream in order to scale your shards, in a fully serverless fashion
Main Code: 475 LOC (2 files) = YAML (58%) + PY (41%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 46 LOC (3); |
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Duplication: 18% | |||
File Size: 0% long (>1000 LOC), 41% short (<= 200 LOC) | |||
Unit Size: 0% long (>100 LOC), 14% short (<= 10 LOC) | |||
Conditional Complexity: 0% complex (McCabe index > 50), 100% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (2 components) | ||
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3 years, 3 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) |
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Latest commit date: 2020-04-22
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generated by sokrates.dev (configuration) on 2022-01-31