Presentation with AppDynamics' founder, Jyoti Bansal, around the new generation of Application Performance Monitoring systems

1. Java Application Monitoring
with AppDynamics’ Founder
Cyrille Le Clerc
Jyoti Bansal Pablo Lopez
Friday, April 15, 2011

2. Part 1
What can I get with a new generation
Application Monitoring System
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3. The use case
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4. The Use Case
App Dynamics Server
Amazon EC2 Linux
Amazon RDS
xebia-spring-travel
Tomcat anti-fraud
Amazon EC2 Linux Tomcat
Amazon EC2 Linux
xebia-spring-travel
Tomcat anti-fraud
Amazon EC2 Linux Tomcat
Amazon EC2 Linux
Xebia Spring Travel Architecture Credit Card Service
Mock
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5. The use case in App Dynamics Server
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6. Dashboards
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7. Dashboards
Simplified architecture
App Dynamics Server
Amazon EC2 Linux
Amazon RDS
xebia-spring-travel
Tomcat
Amazon EC2 Linux
Credit Card Service
Mock
xebia-spring-travel
Tomcat
Amazon EC2 Linux
Part 1 : Simplified
Architecture
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8. Dashboard for Operations
CPU, disk, db pool
requests/min
404, 500 errors count
Operations Team Dashboard
Technical Indicators
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9. Dashboard for the Business
purchase / min
revenue / min
rejected payment / min
Business Team Dashboard
Business Indicators & Trends / KPI
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10. Crisis Dashboards
App Dynamics Server
Amazon EC2 Linux
Amazon RDS
xebia-spring-travel
Tomcat
Amazon EC2 Linux
Credit Card Service
xebia-spring-travel
Tomcat Dashboard
Amazon EC2 Linux Business
Purchase Order Count
Purchase Order revenue
Technical
Crisis Dashboard Purchase Order duration
Measure impact on business Credit Card Timeout Exception Count
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11. Monitoring serving the Business
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12. Canary Testing of New Business Features
App Dynamics Server
Amazon RDS
Amazon EC2 Linux
Credit Card Service
xebia-spring-travel
Tomcat EC2 Linux
Amazon
Amazon EC2 Linux anti-fraud
Amazon EC2 Linux
anti-fraud
Tomcat
Tomcat
Amazon EC2 Linux
Enabled on Amazon EC2 Linux
xebia-spring-travel canary server
Tomcat Dashboard
Amazon EC2 Linux Business
Purchase Order Count & revenue
Anti Fraud Reject Count
Invalid Credit Card Exception Count
Canary Testing Transaction Amount Exception Count
Measure impact on business Technical
Anti Fraud duration
Anti Fraud Timeout Exception Count
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13. Canary Testing of New Business Features
Feature Toggle Pattern to enable Anti Fraud System
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14. Misc
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15. Integrating Monitoring Systems in the
infrastructure
 Application Servers Built-in Monitoring
 Log Management and Analysis Systems
 Profiling Tools
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16. Part 2
Trends of application monitoring
What’s coming ?
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17. Part 3
Internals of
Application Monitoring Systems
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18. Internals of Application Monitoring Systems
Embedded Java Agent
vs.
Standalone Agent
vs.
Agent Less
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19. Internals of Application Monitoring Systems
User Interface
Embeddable Dashboards
Open Social Widgets
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20. Internals of Application Monitoring Systems
How do you scale ???
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