Wso2 api manager analytics and reporting

Apr 4, 20180 likes342 views

This document discusses WSO2 API Manager analytics capabilities including: 1. The APIM analytics architecture which collects data, analyzes it using WSO2 Data Analytics Server, and communicates results. 2. Analytics available at the API Publisher and Store for API usage, faults, latency, subscriptions, and more. 3. Log analysis capabilities for application errors, deployment stats, access tokens, and failures. 4. Real-time alerting for response times, backend times, request counts, resource access patterns, IPs, tier limits, and usage. 5. Purging historical analytics data from tables using the management console or configuration file.

WSO2 API Manager analytics
Chanaka Fernando
WSO2 Inc.

Agenda
• APIM Analytics architecture
• Analytics at API Publisher
• Analytics at API Store
• Log analysis
• Real time notifications
• Purging analytics data

Data processing pipeline
Collect Data
- Define Data Model
- Specify Schema
- Pick a protocol
- Define a Receiver
- Push events
Analyze Data
- Select type of analysis
needed
- Create the relevant analytics
component
- Receive and analyze events
Communicate Results
- Define result stream
definition
- Create publisher & link to
output stream definition to
publisher
- Push results to publisher

APIM Analytics architecture
• Gateway publishes metadata events through thrift
protocol to Analytics component
• Analytics component stores the raw events in database
• Real-time processing component (siddhi runtime)
process these events and send notifications
• Stored events are processed by batch analytics scripts
(spark) and indexed by lucene and processed data
stored in a separate database
• API Publisher and Store retrieves this processed data
and show in the UI

API Publisher statistics
• Created APIs Over Time
• API Usage
• API Last Access Times
• Usage by Resource
Path
• Usage by Destination
• API Usage Comparison
• API Throttled Requests
• Faulty Invocations
• API Latency Time
• API Usage Across Geo
Locations
• API Usage Across User
Agent
• App Throttled Requests

API Store statistics
• API Usage: The usage of the API per application.
• Top Users: Users who make the most API invocations per application
and the number of registered users per application.
• Resource Usage: The usage of an API and from which resource path
per application.
• Faulty Invocations: The number of faulty API invocations per
application.In a faulty API invocation, the message is mediated though the
fault sequence. By default, the API Manager considers an API invocation to
be faulty when the backend service is unavailable.

Analysing logs using APIM analytics
• Live log viewer
• Overview
• Application errors
• API Deployment stats
• Login errors
• Number of API failures
• Access token errors

Real-time alerts
• Abnormal response time
• Abnormal backend time
• Abnormal request counts
• Abnormal resource access pattern
• Unseen source IP address
• Frequent tier limit hitting (tier crossing)
• Abnormal API usage
• Availability of APIs (health monitoring)

Purging analytics data
• Remove historical data from analytics tables
• Delete only the stream data generated from
APIM
• Using analytics management console
• Using configuration file

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Wso2 api manager analytics and reporting

1. WSO2 API Manager analytics Chanaka Fernando WSO2 Inc.

2. Agenda • APIM Analytics architecture • Analytics at API Publisher • Analytics at API Store • Log analysis • Real time notifications • Purging analytics data

3. APIM Analytics architecture

4. WSO2 Data Analytics Server

5. Data processing pipeline Collect Data - Define Data Model - Specify Schema - Pick a protocol - Define a Receiver - Push events Analyze Data - Select type of analysis needed - Create the relevant analytics component - Receive and analyze events Communicate Results - Define result stream definition - Create publisher & link to output stream definition to publisher - Push results to publisher

6. APIM Analytics architecture • Gateway publishes metadata events through thrift protocol to Analytics component • Analytics component stores the raw events in database • Real-time processing component (siddhi runtime) process these events and send notifications • Stored events are processed by batch analytics scripts (spark) and indexed by lucene and processed data stored in a separate database • API Publisher and Store retrieves this processed data and show in the UI

7. API Publisher statistics • Created APIs Over Time • API Usage • API Last Access Times • Usage by Resource Path • Usage by Destination • API Usage Comparison • API Throttled Requests • Faulty Invocations • API Latency Time • API Usage Across Geo Locations • API Usage Across User Agent • App Throttled Requests

8. API Publisher statistics • Applications Created Over Time • API Subscriptions • Developer Sign-ups Over Time • Subscriptions Created Over Time • API Usage per Application • Top Users per Application • Resource Usage per Application • Faulty Invocations per Application • Availability of APIs

9. API Publisher Statistics Demo

10. API Store statistics • API Usage: The usage of the API per application. • Top Users: Users who make the most API invocations per application and the number of registered users per application. • Resource Usage: The usage of an API and from which resource path per application. • Faulty Invocations: The number of faulty API invocations per application.In a faulty API invocation, the message is mediated though the fault sequence. By default, the API Manager considers an API invocation to be faulty when the backend service is unavailable.

11. API Store Statistics Demo

12. Analysing logs using APIM analytics • Live log viewer • Overview • Application errors • API Deployment stats • Login errors • Number of API failures • Access token errors

13. Log analyser Demo

14. Real-time alerts • Abnormal response time • Abnormal backend time • Abnormal request counts • Abnormal resource access pattern • Unseen source IP address • Frequent tier limit hitting (tier crossing) • Abnormal API usage • Availability of APIs (health monitoring)

15. Purging analytics data • Remove historical data from analytics tables • Delete only the stream data generated from APIM • Using analytics management console • Using configuration file

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