Sergey A. Razin Ph.D., Chief Technology Officer, SIOS Technology @ MLconf SEA
summary
Claim: machine learning and graph theory power a platform called Semantic IO that finds root causes in complex virtual clouds. It ingests many monitoring tools across 6,000–40,000 VMs, builds a graph model (v-graph), runs k-means clustering for anomaly/idle detection, performs topological correlation, then applies a naive Bayes causal inference step with prior probabilities and human feedback. The on‑prem, pluggable system identifies VM or datastore causes, recommends fixes, and is available for trial.
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chapters (20)
- 0:00Introduction
- 0:56Who is SIOS
- 1:22How does machine learning relate to SIOS
- 3:38How did SIOS start
- 4:27Virtualization
- 7:20Stack Wars
- 8:37Big Data
- 9:26NIT
- 9:45IT Operations Analytics
- 10:28Gartner
- 10:38Requirements
- 13:13What we do
- 15:28Use Case
- 17:00Monitoring Tools
- 18:02Traditional Analytics
- 18:33Clustering
- 19:58Behavior Analysis
- 20:34Causality
- 21:30Recommendations
- 22:17Whats next
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