Overview
Syllabus
Introduction
Netflixs Microservices
Time Series Database
Alerts Only for Zul
Dynamic Thresholds
Adaptive Thresholds
Anomaly Detector Raju
Results
No Machine Learning
How We Built It
Impact Graph
Context
Accuracy
Operational Burden
Realtime alerting
Realtime events
Mantis
How it works
Querying
Stream Processing
Aggregate
Job Chain
Requirements
Median estimation
Mad
Raju
Simple
Recovery Detection
Recovery Algorithm
What Raju Looks Like
Permutations
Data Visualization
Impact Assessment
Timeline of Events
What is API
Another needle in a haystack
Example
Gold Standard KPI
Spinnaker Events
Emailing the culprits
Benefits
Conclusion
Taught by
Strange Loop Conference