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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.
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DUMB & DUMBERHow smart is your monitoring data
Tom LeveyTech Evangelist
@tlevey
Big is BAD
data
monitoringBig is BAD
data
Make the move to Smart Data
Why do monitoring tools exist?
What is Business Impact?
Enterprise Data Bloating
Email@
£business
Log Files monitoring
Legal
Keep Everything?
!8
!9
Keep Nothing?
just what you need
serverscores storage80TB 92700
MONITORING ENVIRONMENT
8%
servers1200
trans/min300,000
IT ENVIRONMENT
The Digital Hoarders are Winning
Data Storage
System Performance
Network Bandwidth 36%
37%
47%
40-60% STORAGE REQUIREMENT INCREASE YEARLY
gartner
smart data defined
actionable, intelligent, information
IS THIS PERSON PERFORMING WELL?
Blood pressure!165/100!
Heart rate!150bpm!
!15
are we talking about this person?
OR this person?
Attribute Person 1 Person 2Heart Rate 150 150
Blood Pressure 180/90 180/90
Eye Color Blue BrownBlood Type O+ O-
White Blood Cell Count 3.5 3.8Hair Color Brown Blue
Height 180cm 175cmShoe size 11 10
Weight 180kg 94kgCurrent activity sitting skating
What data could we collect?
IS PERSON 2 PERFORMING WELL?
Time 12min 44sec!
Distance 10,000 metres!
Record time: 12min 58secbaseline
New Olympic Record Jorrit Bergsma 10,000m winner
Traditional Monitoring Tools Are Misleading
Resource Spikes May or May Not Cause Business Impact
!21
Good luck
We’ve become addicted to metrics!
!22
What do these charts tell us about application performance or business impact?
!23
average response time with historical baseline
User & IT perspective
Analytics
Correlation
Intelligent alerting
Resolution path
monitoring platforms should do the heavy lifting
Disaster Recovery (DR) vs
Problem Recovery (PR)
Problem Recovery Planning
STRATEGY !
MONITORING CONSIDERED CRITICAL !
END USER FOCUSSED !
CULTURAL
Do we have monitoring? !
What kind? !
What are we collecting? !
How long do we have history?
when a problem occurs…
DATABASENetwork
INFRASTRUCTURELOGS APPLICATION
when a problem occurs…
Distributed dynamic environments
smart data
MOST APM TOOLS ARE DUMB
MOST INFRASTRUCTURE MONITORING TOOLS ARE
DUMBER!
serverscores storage80TB 92700
MONITORING ENVIRONMENT
8%
servers1200
trans/min300,000
IT ENVIRONMENT
Who is using my application
End user experience - kpi's
business transaction - kpi's
Purchase Search Flight Flight Status
Login
Browser(s)
Network
Oracle
.NET Service
Native Mobile
App
Apache ESB/MQ
application flow - kpi's
code execution Diagnostics
We need to save THE RIGHT dataAnalytics
Archive
AggregationCorrelation
Control
Application
!42
Don’t be this person…
!43
plan ahead
anticipate needs
intended purpose
* Screenshot from US e-Commerce AppDynamics Customer
Application Revenue
Application Errors
Application Response time
10.1 s
100 ms
$64,499 per min
$11,987 per min
QUANTIFY IMPACT
QUANTIFY BENEFIT
Application Revenue
Application Response time
!45
code release 1
code release 2
code release 3
1.9 s3.1 sec
$44,499 per min
$58,237 per min
EXAMPLES
over 1 million metrics per minute.
what did he say?
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
1. 2. 3.
thankyou!
