1. AppDynamics Ohio User Group

2. What is ExactTarget? Software as a Service Email Marketing 500 million emails sent a day 200 million web transactions a day

3. Role at ExactTarget Systems Engineer Infrastructure Division Product Operations DevOps

4. Needs Real-time troubleshooting (fire-fighting) Performance Testing Topology Mapping Legacy Code Visibility

5. Deployment How ExactTarget enables AppD

6. Configuration 550 agents IIS web layer –Clicks | Opens | WWW | WebService | REST | Microsite Tiers based on Application Services –Stack / Code / Cluster

7. Tier Design

8. Installation Two steps –Install Configuration –Install Agent

9. Install configuration Dynamically build configuration data

10. Machine.config Build xml based on data returned

11. Install Agent Remote Execution of Batch File appD64.bat

12. .NET Instrumentation Registry Change required for EXE

13. Agent Uninstall Uninstall without the Specific Version

14. Troubleshooting How AppD enables ExactTarget!

15. Topology Discover new things

16. Load Testing RabbitMQ Performance

17. Incorrect Configuration Cross stack communication

18. Advanced Uses Expanding AppDynamics

19. REST API Pre-existing dashboards Pull data from various sources Enhanced graphing technologies Filter or Aggregate based on specific requirements

21. REST API – Transaction Analysis 1.Pull All Tiers 2.Create list of specific tiers 3.Execute calls for each tier 1.# Calls 2.# Slow Calls 3.# Very Slow Calls 4.# Errors 5.Average Response Time

22. REST API – Transaction Analysis

23. Custom Metrics Ability to Upload Data from Various Sources Correlate Application Data with System Data Utilized AppD policy engine Easy Viewing with AppD Metric Browser

24. Custom Metrics 1.Install Java Agent 2.Configure Monitor 3.Monitor runs HTTP Listener 4.Secondary program runs queries against DB 5.Results of query sent to HTTP Listener 6.Listener Outputs Data to Console 7.Data Captured in AppDynamics

25. Java Agent 1.Run Java Agent on Windows Server

26. Configure Monitor Monitor runs HTTP Listener

27. Query Data Warehouse Results of Query make web requests to listener

28. Listener Output HTTP Listener outputs data to AppD Java Agent

29. AppD Custom Metrics Data is visible in the Metric Browser

30. Future Plans F5 Hadoop Memcache MTA activity MongoDB IIS Performance

31. Q&A