Measuring performance impact of your changes on Chrome OS

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This document discusses measuring performance impact on Chrome OS. It recommends using chrome://tracing and Tast to analyze performance. Performance analysis involves observing differences, collecting data, analyzing it, implementing changes, and checking for improvements. Manual analysis can be expensive, error-prone, and difficult for fast releases. Integration testing refines test strategies, develops automated tests using Tast, deploys tests to Tast, and generates reports on chromeperf.appspot.com to track performance on target devices.

Internet

Measuring performance impact
of your changes on Chrome OS
Tiago Vignatti
BlinkOn 16

Motivation #1
Chromium dev: "I just landed this CL. Could you
test to see if there's any performance regression
in our target devices?"

Motivation #2
Chromium dev: "I got this performance related
bug assigned to me but I don't know where start
looking"

tl;dr
For Chrome OS, learn chrome://tracing and Tast

Measuring performance impact
Performance analysis

Measuring performance impact
Performance analysis
Integration testing

Performance analysis
Observe
performance
difference

Performance analysis
Observe
performance
difference
Collect data

Performance analysis
Observe
performance
difference
Collect data Analysis

Performance analysis
Observe
performance
difference
Collect data Analysis Implement
changes

Performance analysis
Observe
performance
difference
Collect data Analysis Implement
changes
DID WE
IMPROVE?

Performance analysis
Observe
performance
difference
Collect data Analysis Implement
changes
chrome://tracing

Performance analysis
Are we done? But how all target devices are being tracked?

Performance analysis
Are we done? But how all target devices are being tracked?
Manual analysis can be cumbersome

Performance analysis
Are we done? But how all target devices are being tracked?
Manual analysis can be cumbersome
● very expensive

Performance analysis
Are we done? But how all target devices are being tracked?
Manual analysis can be cumbersome
● very expensive
● prone to human error

Integration testing
1. REFINE TEST STRATEGY
Initial
Development
Launch

Integration testing
1. REFINE TEST STRATEGY 2. AUTOMATED TEST
DEVELOPMENT
Initial
Development
Launch

Integration testing
1. REFINE TEST STRATEGY 2. AUTOMATED TEST
DEVELOPMENT
3. DEPLOY TO RUN
Initial
Development
Launch

Integration testing
1. REFINE TEST STRATEGY 2. AUTOMATED TEST
DEVELOPMENT
3. DEPLOY TO RUN
4. GENERATE REPORTS
Initial
Development
Launch

Integration testing
1. REFINE TEST STRATEGY
Go
2. AUTOMATED TEST
DEVELOPMENT
Tast tests
3. DEPLOY TO RUN
Tast
4. GENERATE REPORTS
chromeperf.appspot.com
and other perf dashs
Launch Initial
Development

Key takeaways
Performance analysis: many hours on
chrome://tracing then analysis
Integration testing: Go and Tast

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Measuring performance impact of your changes on Chrome OS

1. Measuring performance impact of your changes on Chrome OS Tiago Vignatti BlinkOn 16

2. Motivation #1 Chromium dev: "I just landed this CL. Could you test to see if there's any performance regression in our target devices?"

3. Motivation #2 Chromium dev: "I got this performance related bug assigned to me but I don't know where start looking"

4. tl;dr For Chrome OS, learn chrome://tracing and Tast

5. Measuring performance impact

6. Measuring performance impact Performance analysis

7. Measuring performance impact Performance analysis Integration testing

8. Performance analysis Observe performance difference

9. Performance analysis Observe performance difference Collect data

10. Performance analysis Observe performance difference Collect data Analysis

11. Performance analysis Observe performance difference Collect data Analysis Implement changes

12. Performance analysis Observe performance difference Collect data Analysis Implement changes

13. Performance analysis Observe performance difference Collect data Analysis Implement changes DID WE IMPROVE?

14. Performance analysis Observe performance difference Collect data Analysis Implement changes chrome://tracing

15. Performance analysis Are we done? But how all target devices are being tracked?

16. Performance analysis Are we done? But how all target devices are being tracked? Manual analysis can be cumbersome

17. Performance analysis Are we done? But how all target devices are being tracked? Manual analysis can be cumbersome ● very expensive

18. Performance analysis Are we done? But how all target devices are being tracked? Manual analysis can be cumbersome ● very expensive ● prone to human error

19. Performance analysis Are we done? But how all target devices are being tracked? Manual analysis can be cumbersome ● very expensive ● prone to human error ● difﬁculty on fast releases

20. Integration testing

21. Integration testing 1. REFINE TEST STRATEGY Initial Development Launch

22. Integration testing 1. REFINE TEST STRATEGY 2. AUTOMATED TEST DEVELOPMENT Initial Development Launch

23. Integration testing 1. REFINE TEST STRATEGY 2. AUTOMATED TEST DEVELOPMENT 3. DEPLOY TO RUN Initial Development Launch

24. Integration testing 1. REFINE TEST STRATEGY 2. AUTOMATED TEST DEVELOPMENT 3. DEPLOY TO RUN 4. GENERATE REPORTS Initial Development Launch

25. Integration testing 1. REFINE TEST STRATEGY Go 2. AUTOMATED TEST DEVELOPMENT Tast tests 3. DEPLOY TO RUN Tast 4. GENERATE REPORTS chromeperf.appspot.com and other perf dashs Launch Initial Development

26. Key takeaways Performance analysis: many hours on chrome://tracing then analysis Integration testing: Go and Tast

27. Thanks

Measuring performance impact of your changes on Chrome OS

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