Argo in an AI-Native World: Effective In-Cluster Machine Learning and A...
summary
Argo Observability hooks Prometheus metrics into deployment views while Argo Rollouts uses custom analysis steps and real-time anomaly scores to decide roll forward versus rollback; Numaflow provides a Kubernetes-native streaming engine with exact-one semantics and auto-scaling vertices so events are never lost during autoscale or upgrades. The pipeline trains and runs inference entirely in-cluster (no external API calls), uses a 300M parameter model for cheaper local summarization and anomaly detection, and powers progressive delivery at real-time scale.
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chapters (10)
- 0:00Introduction
- 0:13Machine Learning and Analytics
- 0:47Better Decision Making
- 1:09Data
- 1:26Approach
- 2:33Argo Rout
- 3:12NumaFlow
- 3:58Argo CD Pipeline
- 5:10Why NumaFlow
- 6:12Outro
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