Mercedes-Benz is developing an AI-driven observability system using open source technologies to help solve infrastructure pain points. The system collects millions of metrics, logs, and traces per minute from databases, middleware, and other systems. It uses anomaly detection and predictive modeling with techniques like XGBoost and LSTMs to analyze patterns in the data and forecast infrastructure needs. This helps determine if systems are performing normally, identify anomalies, optimize resource usage, and handle real-time performance issues. The goal is to build an AI-driven prediction ecosystem that can help operations teams manage infrastructure challenges more effectively.

1. AI-driven Observability based on Open Source
Satish Karunakaran – IT Architect
Dr. Sabine Gillner – Data Scientist & Product Manager

2. Mercedes-Benz Tech Innovation Präsentationsvorlage | 01.04.2022
1 Observability & Data Points
Infrastructure Pain Points
2
3 Solving Infrastructure Pain Points with Data
Building AI Driven Prediction Eco-System
4
5
Data Science & Prediction
Agenda
6 Q & A

3. Mercedes-Benz Tech Innovation OSMC | 16.11.2022 3
Observability & Data Points
• Millions of metrics per minute
• Data Dependency across Logs, Traces & Metrics
• Various definitions of Data
Can the Operations Team generate value manually?
Database
Metrics
Logs
Trace
Infrastructure Middleware

4. Mercedes-Benz Tech Innovation OSMC | 16.11.2022 4
Infrastructure Pain Points
Focus : Cloud Databases
Managed Un-managed
(Pain Points)
Availability
Patch
Management
Scalability
What to
scale ?
Should I
optimize?
Self-healing

5. Mercedes-Benz Tech Innovation OSMC | 16.11.2022 5
Solving Infrastructure Pain Points with Data
1 Is this behaviour normal ? 2 Looks Normal, but not sure!
3 Better than last week, but still not sure!
4 Found an Anomaly!

6. Mercedes-Benz Tech Innovation OSMC | 16.11.2022 6
Solving Infrastructure Pain Points with Data
Anomaly Detection Deep Insights
Optimizing Usage

7. Mercedes-Benz Tech Innovation OSMC | 16.11.2022 7
Data Science & Prediction
Forecasting using XGBoost and Recurrent Neural Networks.
Modeltraining
Forecasting
Monthly Training – Recurrent Network LSTM
Daily
Forecasting
Anomalie Detection
10
min
Prediction Process

8. Mercedes-Benz Tech Innovation OSMC | 16.11.2022 8
Data Science & Prediction
Handling Real Time Performance Issues

9. Mercedes-Benz Tech Innovation OSMC | 16.11.2022 9
Building AI Driven Prediction Eco-System

10. Mercedes-Benz Tech Innovation 10
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be part of our team:
www.mercedes-benz-
techinnovation.com/en/jobs/
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11. Mercedes-Benz Tech Innovation GmbH
Wilhelm-Runge-Street 11, 89081 Ulm
Phone +49 731 505-06 / techinnovation@mercedes-benz.com / www.mercedes-benz-techinnovation.com
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