Luke Durkan's presentation focuses on the importance of performance monitoring in software development, particularly using Jira's log analysis tools. He shares insights from his experience at Atlassian, emphasizing the value of understanding performance metrics to quickly address issues. The talk also highlights strategies for analyzing performance data and the significance of contextualizing symptoms with recent changes in the system.

1. LUKE DURKAN • GRADUATE DEVELOPER • ATLASSIAN
Knowledge is Power:
Visualising JIRA’s
Performance Data

2. At Atlassian we ask
the tough
questions…

3. Can we graph that?

4. A picture is worth a
1000 words

5. A picture is worth a
1000 words

6. A picture is worth a
1000 words
graph

7. A picture is worth a
1000 words
graph

8. A picture is worth a
1000 words
graph
numbers

9. WHAT YOU CAN SEE
WHAT IS PERF. MONITORING?
WHAT THE DATA CAN TELL YOU
GETTING THE BIG PICTURE
Agenda
ABOUT ME

10. About Me

11. Project AreasCurrent Role
About Me
- Log Analysis Tool
- Performance Monitoring
- Data Center
Developer on the JIRA
Software Enterprise
team

12. Why I’m
giving this
talk
Learnings From Project
First project I worked on at Atlassian
revolved around perf. monitoring
Work on Log Analyser
Driver for upgrades to the JIRA Log
Analyser tool
First Project
How useful perf. monitoring can be
for customers with the right strategies

13. Why I’m
giving this
talk
Learnings From Project
First project I worked on at Atlassian
revolved around perf. monitoring
Work on Log Analyser
Driver for upgrades to the JIRA Log
Analyser tool
First Project
How useful perf. monitoring can be
for customers with the right strategies

14. Why I’m
giving this
talk
Learnings From Project
First project I worked on at Atlassian
revolved around perf. monitoring
Work on Log Analyser
Driver for upgrades to the JIRA Log
Analyser tool
First Project
How useful perf. monitoring can be
for customers with the right strategies

15. Why I’m
giving this
talk
Learnings From Project
First project I worked on at Atlassian
revolved around perf. monitoring
Work on Log Analyser
Driver for upgrades to the JIRA Log
Analyser tool
First Project
How useful perf. monitoring can be
for customers with the right strategies

16. It is an immutable law in business that words
are words, explanations are explanations,
promises are promises-but only performance
is reality.
HAROLD GENEEN, FORMER PRESIDENT OF ITT
“
”

17. Why I’m
giving this
talk
Learnings From Project
First project I worked on at Atlassian
revolved around perf. monitoring
Work on Log Analyser
Driver for upgrades to the JIRA Log
Analyser tool
First Project
How useful perf. monitoring can be
for customers with the right strategies

18. What is Performance
Monitoring?

19. What is Performance
Monitoring?

20. What isn’t Performance
Monitoring?

21. 5 Secrets to JIRA no has
told you about

22. 5 Secrets to JIRA no has
told you about

23. 7 Things they don’t want
you to know about JIRA
Performance

24. 7 Things they don’t want
you to know about JIRA
Performance

25. Performance
Monitoring
Not Perf. Testing
This allows for quick reaction to
potential performance problems
Log File Analysis
Review logs around the time reported
problems happen to understand why
Real-Time Analysis
Performance testing is the use of
fake data to stress test applications

26. Performance
monitoring helps to
understand, why!

27. What you can see

28. Spoiler: You can see
a lot!

29. • Response Times
• Average Response Times
• Response Times by Category
• Total Requests
• Requests per min
• Concurrent Requests
• Requests per min by Category
• Percentile Response Times
• Peak Response Times
Some of the data we can see
• Response time by Node
• Average Response Time by Node
• Requests per Node
…

30. Average Response Time

31. Always keep track
of what’s being
measured

32. Request Count (req/min)

33. Average Response Time by Nodes (ms)

34. Write your ownNew RelicLog Analyser Tool
Examples of products you can use

35. What the data can tell you

36. Average Response Time (ms)

37. Request Count (req/min)

38. Request Count (req/min)

39. Average Response Time by Nodes (ms)

40. Average Response Time by Nodes (ms)

41. Getting the big picture

42. Each graph is one
piece of a Jigsaw

43. Don’t AssumeMatch SymptomsFind a Start Point
General Strategies
Recent Events
If we’re investigating
problems matching the
symptoms to the graph
they appear on is really
helpful
Depending on the time
frame of your data,
there can be a lot to
look through
Don’t always assume
that there has to be a
problem even if it’s
been reported
Always be mindful of
things that have
happened recently, i.e.
plugin upgrades,
application upgrades

44. Don’t AssumeMatch SymptomsFind a Start Point
General Strategies
Recent Events
If we’re investigating
problems matching the
symptoms to the graph
they appear on is really
helpful
Depending on the time
frame of your data,
there can be a lot to
look through
Don’t always assume
that there has to be a
problem even if it’s
been reported
Always be mindful of
things that have
happened recently, i.e.
plugin upgrades,
application upgrades

47. Don’t AssumeMatch SymptomsFind a Start Point
General Strategies
Recent Events
If we’re investigating
problems matching the
symptoms to the graph
they appear on is really
helpful
Depending on the time
frame of your data,
there can be a lot to
look through
Don’t always assume
that there has to be a
problem even if it’s
been reported
Always be mindful of
things that have
happened recently, i.e.
plugin upgrades,
application upgrades

48. Don’t AssumeMatch SymptomsFind a Start Point
General Strategies
Recent Events
If we’re investigating
problems matching the
symptoms to the graph
they appear on is really
helpful
Depending on the time
frame of your data,
there can be a lot to
look through
Don’t always assume
that there has to be a
problem even if it’s
been reported
Always be mindful of
things that have
happened recently, i.e.
plugin upgrades,
application upgrades

52. Don’t AssumeMatch SymptomsFind a Start Point
General Strategies
Recent Events
If we’re investigating
problems matching the
symptoms to the graph
they appear on is really
helpful
Depending on the time
frame of your data,
there can be a lot to
look through
Don’t always assume
that there has to be a
problem even if it’s
been reported
Always be mindful of
things that have
happened recently, i.e.
plugin upgrades,
application upgrades

53. Don’t AssumeMatch SymptomsFind a Start Point
General Strategies
Recent Events
If we’re investigating
problems matching the
symptoms to the graph
they appear on is really
helpful
Depending on the time
frame of your data,
there can be a lot to
look through
Don’t always assume
that there has to be a
problem even if it’s
been reported
Always be mindful of
things that have
happened recently, i.e.
plugin upgrades,
application upgrades

56. Don’t AssumeMatch SymptomsFind a Start Point
General Strategies
Recent Events
If we’re investigating
problems matching the
symptoms to the graph
they appear on is really
helpful
Depending on the time
frame of your data,
there can be a lot to
look through
Don’t always assume
that there has to be a
problem even if it’s
been reported
Always be mindful of
things that have
happened recently, i.e.
plugin upgrades,
application upgrades

57. Don’t AssumeMatch SymptomsFind a Start Point
General Strategies
Recent Events
If we’re investigating
problems matching the
symptoms to the graph
they appear on is really
helpful
Depending on the time
frame of your data,
there can be a lot to
look through
Don’t always assume
that there has to be a
problem even if it’s
been reported
Always be mindful of
things that have
happened recently, i.e.
plugin upgrades,
application upgrades

59. Don’t AssumeMatch SymptomsFind a Start Point
General Strategies
Recent Events
If we’re investigating
problems matching the
symptoms to the graph
they appear on is really
helpful
Depending on the time
frame of your data,
there can be a lot to
look through
Don’t always assume
that there has to be a
problem even if it’s
been reported
Always be mindful of
things that have
happened recently, i.e.
plugin upgrades,
application upgrades

60. Key
Takeaways
Try Perf. Monitoring
Perf. Monitoring allows you to
understand why things happen
Have a Strategy
Analysing data without a strategy is
like looking for a needle in a haystack
Understand Why
go.atlassian.com/jiraloganalyzer to
use our log analysis tool for free.

61. Thank you!
LUKE DURKAN • GRADUATE DEVELOPER • ATLASSIAN