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Appman files Example x-ray report By App man <Edit the following slides to document the bottleneck or issue you solved using AppDynamics Pro>

Appman files Purpose of Application: Industry: Architecture Type: Technologies & Instance Count: Avg Daily User Count: Peak Transaction Throughput: Avg Daily Revenue: # of Unique Business Transactions: Application Summary E-Commerce Online Bookstore Retail SOA Tomcat (3), MQ (1), MySQL (4), ~60,000 users ~1,250 transactions per minute ~$750,000 63

Appman files When did the Problem Occur? How did you learn of the Problem? Brief Description of Problem: Brief Description of Root Cause: Time to Install X-Ray Vision: Resolution Time with X-Ray Vision? (Est) Resolution Time without X-Ray vision? Middle of May 2011 AppDynamics Alert Our checkout business transactions were taking up to 10 seconds to complete. Inventory Web Service was bottleneck due to slow SQL statement ~1 hour 15 minutes I wouldn’t like to guess, few hours maybe? Problem Summary

RESULTS Summary What impact did solving this problem have on your business? How would you describe App Man’s X-Ray vision? We were able to process Checkout business transactions faster with less risk to our customers. A slow user experience might cause our customers to abandon the final step. We also noticed our Database resource usage dropped after the DBA tuned the SQL statement. Powerful in that it lets you go from high level to low level in a few clicks to find the root cause. Appman files

Screenshot #1 I logged into AppDynamics and noticed several problems in the Application Dashboard view.

Screenshot #2 The Problems screen showed me the “Checkout” Business Transaction has been running slow so I drilled down. Appman files

Screenshot #3 AppDynamics captured 3 snapshots of the Checkout business transaction which highlighted a 10 second response time. I then drilled down in to one of these to troubleshoot.

Appman files Screenshot #4 Here is the transaction flow for the 10 second Checkout business transaction. I then drilled down on the start tier.

Appman files Screenshot #5 I clicked on this link to drill in context to understand where the 10 seconds was spent. Here is the complete call stack of how the Checkout transaction executed in the E-Commerce Java tier. Notice how all the time is spent in a web services call.

Appman files Screenshot #6 Here we see the full call stack of how that web service executed in the invoked Inventory JVM. Turns out the 10 seconds was caused by a slow running SQL statement as shown.