AI-Driven Observability for Massive AWS Serverless Workflows

AI-Driven Observability for Massive AWS Serverless Workflows

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02:04 Technical Deep Dive: Telemetry and Graph Neural Networks

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5 of 11

02:04 Technical Deep Dive: Telemetry and Graph Neural Networks

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Classroom Contents

AI-Driven Observability for Massive AWS Serverless Workflows

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  1. 1 00:00 Introduction and Welcome
  2. 2 00:12 Understanding Adaptive Parallelism Insights
  3. 3 00:46 Challenges in Serverless Fan-Outs
  4. 4 01:28 Guiding Questions for Adaptive Parallelism
  5. 5 02:04 Technical Deep Dive: Telemetry and Graph Neural Networks
  6. 6 03:22 Implementation and Workflow
  7. 7 06:52 Evaluation and Metrics
  8. 8 08:21 Lessons Learned and Best Practices
  9. 9 09:26 Limitations and Future Work
  10. 10 10:17 Conclusion and Next Steps
  11. 11 10:50 Q&A and Closing Remarks

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