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AutoDesk
- 1. Background
- 2. AutoDesk is moving from a license based business to a Subscription based business.
- 3. An uninterrupted subscription experience requires Robust Cloud infrastructure
- 4. What are the Challenges ? 1. Meaningless alert storms leading to fatigue 2. Lack of real-time visibility of environment 3. Which Problems cost the most to AutoDesk Data Platform?
- 5. What are the Solutions to these Challenges ?
- 6. Solving the Right Problems at the Right time Ahead of the time
- 8. First Log ServiceNow Ticket E4E1 Reducing the Number of Steps to Debug
- 9. Extracting intelligence from log data and put it in one single place which gives a single lens view of the overall environment thus increasing the real-time visibility and reducing the time
- 10. Dashboard
- 11. How do we come up with this Solution ?
- 12. Parsing Log text files Unstructured Data Events Failures Exceptions Successes Messages What does the Data looks like ?
- 13. We used Machine Learning models to find patterns in sequential log data
- 14. We need labels to Predict and we required prediction to label the data ! How we solved this Chicken and Egg Problem ?
- 16. Parsing Clean keywords Key Features 1 3 2 Build Term Frequency Text Representation 1
- 18. + = ? Simple understanding
- 19. + = 30 10 units 20 units
- 20. Mathematical and ML Models requires input in the form of Numbers or Vectors and not Text !
- 21. Text Processing Log ( Text) Numerical Representation
- 22. To convert text into Numerical vectors we employed Text processing techniques which takes text as input and gives out a numerical vector as output.
- 23. Classification How did we train machine learning models? How should we use our models?
- 24. What is the error category for each failed log?
- 25. Finally ...... Log ( Text) Log categories Including Success or Failure
- 26. Unsupervised Clustering of Failures How do we determine the category?
- 27. Deliverables 1. Historical Data Dashboard 2. Streaming Dashboard 3. Classification Model 4. Clustering Model 5. Project Workbook
- 28. Thank You !