Dumb and Dumber: how smart is your monitoring data?

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Big Data is all the rage right now. Everyone from a social media company to your grandmother's online knitting store is suddenly a big data shop. Application monitoring tools are no exception from this trend – they collect gigabytes of monitoring data from your application every minute. But most of this data is useless. It's dumb data. More data isn't better if the data you're getting from your tools isn't helping you do your job – in fact, it's a real problem. In this session AppDynamics will cover how to be smarter about collecting monitoring data, and how to ensure that the data we're collecting is intelligent.

Technology

DUMB & DUMBER
How smart is your monitoring data

Big

data
is BAD

monitoring

Make the move to Smart Data

Enterprise Data Bloating

@

Log Files

Email

monitoring

£
Legal

business

IT ENVIRONMENT

1200

300,000

servers

trans/min

MONITORING ENVIRONMENT

700
cores

8%
92

servers

80TB
storage

The Digital Hoarders are Winning
Data Storage
System Performance
Network Bandwidth

47%
37%
36%

40-60%
STORAGE REQUIREMENT
INCREASE YEARLY
gartner

smart data
defined
actionable, intelligent, information

IS THIS PERSON PERFORMING WELL?

Heart rate!
150bpm!

Blood pressure!
165/100!

What data could we collect?
Attribute

Person 1

Person 2

Heart Rate

150

150

Blood Pressure

180/90

180/90

Eye Color

Blue

Brown

Blood Type

O+

O-

White Blood Cell Count

3.5

3.8

Hair Color

Brown

Blue

Height

180cm

175cm

Shoe size

11

10

Weight

180kg

94kg

Current activity

sitting

skating

IS PERSON 2 PERFORMING WELL?

Distance

10,000 metres!

Time

12min 44sec!

Record time: 12min 58sec
baseline

New Olympic Record
Jorrit Bergsma 10,000m winner

Traditional Monitoring Tools Are Misleading

Resource Spikes May or May Not Cause Business Impact

What do these charts tell us about
application performance or business impact?

!23

average response time with historical baseline

monitoring platforms should do the heavy lifting
User & IT perspective
Analytics
Correlation
Intelligent alerting
Resolution path

Disaster Recovery (DR) 
vs  
Problem Recovery (PR)

Problem Recovery Planning
STRATEGY
!

MONITORING CONSIDERED CRITICAL
!

END USER FOCUSSED
!

CULTURAL

when a problem occurs…
Do we have monitoring?
!

What kind?
!

What are we collecting?
!

How long do we have history?

when a problem occurs…

Network

LOGS

DATABASE

INFRASTRUCTURE

APPLICATION

MOST APM TOOLS ARE

DUMB
MOST INFRASTRUCTURE
MONITORING TOOLS ARE

DUMBER!

business transaction - kpi's

Oracle
.NET Service

ESB/MQ
Apache

Browser(s)

Purchase
Search Flight
Flight Status
Login

Native
Mobile
App

Network

We need to save THE RIGHT data
Analytics

Aggregation 
Correlation

Control

Application

Archive

plan ahead
anticipate needs
intended purpose

!43

QUANTIFY IMPACT
$64,499 per min
Application
Revenue

10.1 s

$11,987 per min

Application
Response time
100 ms
Application
Errors

* Screenshot from US e-Commerce AppDynamics Customer

QUANTIFY BENEFIT
code
release 1

code
release 2

code
release 3

$58,237 per min
$44,499 per min
Application
Revenue
Application
Response time
3.1 sec

1.9 s

!45

1.

2.

3.

Big monitoring data
slows down MTTR and
drives up costs… a lot!

1.

2.

3.

Focusing on Problem Recovery
will help you figure out your
architecture, tools, & process…
This saves time and money

1.

2.

3.

Don’t be a digital hoarder!!!
Make the move to Smart Data

stand 1020

Free trial: appdynamics.com/freetrial

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Dumb and Dumber: how smart is your monitoring data?

1. DUMB & DUMBER How smart is your monitoring data

2. Tom Levey Tech Evangelist @tlevey

3. Big data is BAD

4. Big data is BAD monitoring Make the move to Smart Data

5. Why do monitoring tools exist?

6. What is Business Impact?

7. Enterprise Data Bloating @ Log Files Email monitoring £ Legal business

8. Keep Everything? !8

9. Keep Nothing? !9

10. just what you need

11. IT ENVIRONMENT 1200 300,000 servers trans/min MONITORING ENVIRONMENT 700 cores 8% 92 servers 80TB storage

12. The Digital Hoarders are Winning Data Storage System Performance Network Bandwidth 47% 37% 36% 40-60% STORAGE REQUIREMENT INCREASE YEARLY gartner

13. smart data defined actionable, intelligent, information

14. IS THIS PERSON PERFORMING WELL? Heart rate! 150bpm! Blood pressure! 165/100!

15. are we talking about this person? !15

16. OR this person?

17. What data could we collect? Attribute Person 1 Person 2 Heart Rate 150 150 Blood Pressure 180/90 180/90 Eye Color Blue Brown Blood Type O+ O- White Blood Cell Count 3.5 3.8 Hair Color Brown Blue Height 180cm 175cm Shoe size 11 10 Weight 180kg 94kg Current activity sitting skating

18. IS PERSON 2 PERFORMING WELL? Distance 10,000 metres! Time 12min 44sec! Record time: 12min 58sec baseline

19. New Olympic Record Jorrit Bergsma 10,000m winner

20. Traditional Monitoring Tools Are Misleading Resource Spikes May or May Not Cause Business Impact

21. Good luck !21

22. We’ve become addicted to metrics! !22

23. What do these charts tell us about application performance or business impact? !23

24. average response time with historical baseline

25. monitoring platforms should do the heavy lifting User & IT perspective Analytics Correlation Intelligent alerting Resolution path

26. Disaster Recovery (DR)  vs   Problem Recovery (PR)

27.

28.

29. Problem Recovery Planning STRATEGY ! MONITORING CONSIDERED CRITICAL ! END USER FOCUSSED ! CULTURAL

30. when a problem occurs… Do we have monitoring? ! What kind? ! What are we collecting? ! How long do we have history?

31. when a problem occurs… Network LOGS DATABASE INFRASTRUCTURE APPLICATION

32. Distributed dynamic environments

33. smart data

34. MOST APM TOOLS ARE DUMB MOST INFRASTRUCTURE MONITORING TOOLS ARE DUMBER!

35. IT ENVIRONMENT 1200 300,000 servers trans/min MONITORING ENVIRONMENT 700 cores 8% 92 servers 80TB storage

36. Who is using my application

37. End user experience - kpi's

38. business transaction - kpi's Oracle .NET Service ESB/MQ Apache Browser(s) Purchase Search Flight Flight Status Login Native Mobile App Network

39. application flow - kpi's

40. code execution Diagnostics

41. We need to save THE RIGHT data Analytics Aggregation  Correlation Control Application Archive

42. Don’t be this person… !42

43. plan ahead anticipate needs intended purpose !43

44. QUANTIFY IMPACT $64,499 per min Application Revenue 10.1 s $11,987 per min Application Response time 100 ms Application Errors * Screenshot from US e-Commerce AppDynamics Customer

45. QUANTIFY BENEFIT code release 1 code release 2 code release 3 $58,237 per min $44,499 per min Application Revenue Application Response time 3.1 sec 1.9 s !45

46. EXAMPLES

47.

48. over 1 million metrics per minute.

49. what did he say? 1. 2. 3.

50. 1. 2. 3. Big monitoring data slows down MTTR and drives up costs… a lot!

51. 1. 2. 3. Focusing on Problem Recovery will help you figure out your architecture, tools, & process… This saves time and money

52. 1. 2. 3. Don’t be a digital hoarder!!! Make the move to Smart Data

53. stand 1020 Free trial: appdynamics.com/freetrial

54. thankyou!

Dumb and Dumber: how smart is your monitoring data?

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