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Monitoring and Alerting: Control Plane
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Classroom Contents
Serverless Machine Learning Inference with KFServing
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- 1 Intro
- 2 Inference Stack Evolution PYTORCH
- 3 Model explanation, model pre-post transformers
- 4 GPU Autoscaling the challenge
- 5 Challenge: Increase GPU utilization
- 6 Use Case: Personalized News Monitoring
- 7 Challenge: Deploy many models
- 8 Proposed Solution: Multi-model Inference Service
- 9 Experience from running a serverless inference platform
- 10 Reduce tail latency caused by CPU throttling
- 11 Reduce cold start latency
- 12 Monitoring and Alerting: Control Plane
- 13 Monitoring and Alerting: Access logs
- 14 Monitoring and Alerting: Inference Service metrics
- 15 KFServing Roadmap 2020
- 16 Our Working Group is Open
