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00:00 Introduction to Zero Downtime ML Observability
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Classroom Contents
Zero Downtime ML Deployments
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- 1 00:00 Introduction to Zero Downtime ML Observability
- 2 01:07 Understanding the Gap Between ML Engineers and SREs
- 3 02:43 Challenges in Traditional Observability for ML Systems
- 4 04:45 Addressing Silent Failures and Data Drifts
- 5 08:05 Implementing Effective ML Monitoring Systems
- 6 10:37 Types of Data Drifts and Their Impact
- 7 16:50 Best Practices for ML Observability
- 8 18:52 Tools and Techniques for Zero Downtime
- 9 20:31 Conclusion and Final Thoughts
