Summary deck of a presentation given at Dreamforce 11 by Brian Doll and Abhishek Goswami of New Relic

1. Instrumenting and Analyzing Web Apps on Heroku Morten Bagai, Abhishek Goswami, Brian Doll,

2. Heroku Add-on Catalog

3. New Relic Add-on

4. New Relic founded in 2008 by Lew Cirne Support; Ruby, Java, PHP, .NET and Python (BETA) Securely Managing over 6 billion transactions every day 10,000 + active accounts in <3 years!! About New Relic

6. Real-time, transaction-level visibility inside production web apps

7. End-to-end visibility of critical web transactions with real user monitoring (RUM)

8. Always on 24x7 monitoring and alerting

9. Deep code-level diagnostics, and long term performance improvement tools

10. Designed for production apps running in Virtual, Cloud & Dedicated environmentsAbout New Relic

11. Demo time…

12. Application Overview Overview of key performance metrics. Graphs showing Apdex and Throughput over time. Response Time Breakdown Graph showing where time consumption is occurring. Recent Events such as notes, deployments, alerts, and more Slow Transactions Recently Captured Errors your application is throwing and not handling properly

13. Transaction Tracer Detailed view of a specific transaction Trace summary Info: RT, CPU Burn, Capture time, params, VM ID Performance Summary Trace Details DB Details

14. Web Transactions An aggregate or summary view of all your transactions Overall app throughput and response time Sortable list of txns for analyzing - slowest avg - most time - apdex - std deviation - & more Txn Details: - RT - Throughput - Slow Txns - Summary - Historical Clicking on txn shows details

15. Error Tracking Graph showing error counts over time Number of errors thrown of type URL Params Transaction Throwing Error Application Error Message Error Details Stack Trace

16. Scalability Analysis How well does your application scale as load increases. Can be viewed from RT, DB, or CPU perspective Colored dots show time of day when measurements were aggregated Response Time on Y axis Load on X Axis

17. Deployment History NewRelic.com Summarizes performance metrics after each deployment or key event. Each time a deployment is made New Relic can rollup and summarize application performance at that time. Clicking on a deployment lets you view before/after trends of key metrics.

18. RUM Show response time of web requests from the user’s browser Browser load time slowdowns broken by browser type Browser load time breakdown across various tiers Browser load time slowdowns broken down by geography

19. Questions? morten@heroku.com abhishek@newrelic.com brian@newrelic.com