Bring the power of machine learning to your developer operations
summary
Shows how Amazon DevOps Guru and Amazon CodeGuru run inside AWS to cut time to root cause and shift quality left: DevOps Guru ingests CloudWatch metrics, queries CloudTrail, uses CloudFormation stacks as application boundaries and surfaces correlated insights and proactive alerts to reduce MTTR; CodeGuru Reviewer and Profiler run ML models trained on millions of code reviews, scan PRs or CI (CodeCommit, GitHub, Bitbucket, GitHub Enterprise), write artifacts to a secure S3, and return recommendations in ~five minutes (examples: a method calling 39 methods, 32/64-bit mismatch, deprecated APIs, credential use).
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chapters (9)
- 0:00Introduction
- 2:27What is AWS DevOps Guru
- 10:55What is AWS Code Guru
- 17:18Code Guru Workflows
- 24:46Iit Consortium
- 27:29Recommendations
- 29:51Benefits
- 30:24Next Steps
- 33:07Conclusion
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