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Performance Monitoring
        with
       AOP & AWS
                 by Yan Cui
                          @theburningmonk
Server-side Developer @
iwi by numbers
• 400k+ DAU
• ~100m requests/day
• 25k+ concurrent users
• 1500+ requests/s
• 7000+ IO opts/s
• 100+ commodity servers
• 75ms average latency
What is my code doing at runtime?
Runtime Monitoring != Profiling
Monitoring
• Difficult in a distributed environment

• Lots of effort to set up
Monitoring
• Achievable in 3 simple steps
 1. Gather runtime data

 2. Publish

 3. Visualize
Gathering Data
• Method execution time

• Method execution count

• Error count

• Requires (lots) boilerplate to set up
AOP to the rescue!
AOP
• Aspect Oriented Programming

• Cross-Cutting Concerns

• PostSharp
PostSharp

            Image by Mike Rohde
Code demo goes here
Publish
• Where to?...

• Amazon CloudWatch
Visualize
Alarms
Notifications



• Notify via email/SMS
CloudWatch

             Image by Mike Rohde
Visualize
• Amazon Management Console
 – Min, Max, Average, Count

 – Up to 14 days of data

 – Down to 1 minute intervals
Amazon CloudWatch
• Cheap

• Supports alarms and notifications

• Visualization tool
AOP + Amazon CloudWatch =
What to Monitor?
• IO operations

• CPU intensive operations

• Service entry-points
Caution
• Overhead

• Only monitor what you need

• Make it configurable/optional?
Thank You!
@theburningmonk

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