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

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apidays LIVE JAKARTA - Connecting the Digital Stack Machine Learning powered API governance Jenks Guo, Developer Evangelist at Xero

Technology

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

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

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