Performance Monitoring with AOP and Amazon CloudWatch

This talk outlines how to easily set up pseudo-RT performance monitoring for your application using an AOP framework such as PostSharp in conjunction with the Amazon CloudWatch service.

Transcript

1. Performance Monitoring Yan Cui with AOP & AWS by @theburningmonk
2. Server-side Developer @
3. iwi by numbers • 400k+ DAU • ~100m requests/day • 25k+ concurrent users • 1500+ requests/s • 7000+ IO opts/s • 100+ commodity servers • 75ms average latency
4. What is my code doing at runtime?
5. Runtime Monitoring != Profiling
6. Monitoring • Difficult in a distributed environment • Lots of effort to set up
7. Monitoring • Achievable in 3 simple steps 1. Gather runtime data 2. Publish 3. Visualize
8. Gathering Data • Method execution time • Method execution count • Error count • Requires (lots) boilerplate to set up
9. AOP to the rescue!
10. AOP • Aspect Oriented Programming • Cross-Cutting Concerns • PostSharp
11. Image by Mike Rohde PostSharp
12. Code demo goes here
13. Publish • Where to?... • Amazon CloudWatch
14. Visualize
15. Alarms
16. Notifications • Notify via email/SMS
17. Image by Mike Rohde CloudWatch
18. Visualize • Amazon Management Console –Min, Max, Average, Count –Up to 14 days of data –Down to 1 minute intervals
19. Amazon CloudWatch • Cheap • Supports alarms and notifications • Visualization tool
20. AOP + Amazon CloudWatch =
21. What to Monitor? • IO operations • CPU intensive operations • Service entry-points
22. Caution • Overhead • Only monitor what you need • Make it configurable/optional?
23. Thank You! @theburningmonk