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Machine Learning
Powered API Governance
Jenks Guo
The era of platform businesses
Softwares are transforming to platforms
Growing partners means growing APIs
Partners 📈 issues 📈 governance 📉
Monitoring the API platform
Logging
Alarms & Alerts
Usage reports
API security tools
A hidden problem in all API platforms
Partners pivot in use cases of APIs can cause:
● Lengthy investigation
● Long engagements
● Tough negotiation
● Shutting down of API accesses
Poorly governed vs. well governed
Poorly governed platforms:
● End users’ complaints
● Partners’ self-reporting/self-policing
● Just wait for incidents to happen
Well governed platforms:
● Engineers audit
● Sales / partnership team check in
● Mandated self-reporting for new use cases
Illustrations by Jean Wei
First experts,
then expert systems
Who’s your go-to API expert?
What problem are they solving?
Illustration by Andrew Rae; Photograph: Bettmann/Corbis
What kind of
problem is this?
Anomaly detection?
Categorisation!
Clustering analysis
Unsupervised learning
How similar are datasets
Metadata of APIs
Human needs to tweak
API Partner POST Contact GET Contact POST Invoice GET Invoice POST Inventory GET Inventory
Partner A 30 3 20 23 0 0
Partner B 29 7 45 60 0 0
Partner C 0 30 1 15 0 0
Partner D 3 50 2 23 0 0
Partner E 0 40 3 56 0 0
Partner F 0 0 98 23 20 45
Partner G 0 0 76 34 67 89
API usage data
API usage profile
Step 1 - Analyse in 2D
Step 2 - Analyse in 3D
Next steps - more dimensions & repeat
The End Result
API Partners Group ID
A 1
B 1
C 0
D 0
E 0
F 2
G 2
API Partners Group ID
A 3
B 1
C 0
D 0
E 0
F 2
G 3
Connectivity models
Centroid models
Distribution models
Subspace models
Group models
Graph-based models
Neural models
Hard clustering
Soft clustering
Strict partitioning clustering
Overlapping clustering
Hierarchical clustering
Subspace clustering
Summary
Illustrations by Jean Wei
Q & A

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apidays LIVE JAKARTA - Machine Learning powered API governance by Jenks Guo

  • 1. Machine Learning Powered API Governance Jenks Guo
  • 2. The era of platform businesses Softwares are transforming to platforms Growing partners means growing APIs Partners 📈 issues 📈 governance 📉
  • 3. Monitoring the API platform Logging Alarms & Alerts Usage reports API security tools
  • 4. A hidden problem in all API platforms Partners pivot in use cases of APIs can cause: ● Lengthy investigation ● Long engagements ● Tough negotiation ● Shutting down of API accesses
  • 5. Poorly governed vs. well governed Poorly governed platforms: ● End users’ complaints ● Partners’ self-reporting/self-policing ● Just wait for incidents to happen Well governed platforms: ● Engineers audit ● Sales / partnership team check in ● Mandated self-reporting for new use cases Illustrations by Jean Wei
  • 6. First experts, then expert systems Who’s your go-to API expert? What problem are they solving? Illustration by Andrew Rae; Photograph: Bettmann/Corbis
  • 7. What kind of problem is this? Anomaly detection? Categorisation!
  • 8. Clustering analysis Unsupervised learning How similar are datasets Metadata of APIs Human needs to tweak
  • 9. API Partner POST Contact GET Contact POST Invoice GET Invoice POST Inventory GET Inventory Partner A 30 3 20 23 0 0 Partner B 29 7 45 60 0 0 Partner C 0 30 1 15 0 0 Partner D 3 50 2 23 0 0 Partner E 0 40 3 56 0 0 Partner F 0 0 98 23 20 45 Partner G 0 0 76 34 67 89 API usage data
  • 11. Step 1 - Analyse in 2D
  • 12. Step 2 - Analyse in 3D
  • 13. Next steps - more dimensions & repeat
  • 14. The End Result API Partners Group ID A 1 B 1 C 0 D 0 E 0 F 2 G 2 API Partners Group ID A 3 B 1 C 0 D 0 E 0 F 2 G 3
  • 15. Connectivity models Centroid models Distribution models Subspace models Group models Graph-based models Neural models Hard clustering Soft clustering Strict partitioning clustering Overlapping clustering Hierarchical clustering Subspace clustering
  • 17. Q & A