In this session, we will dive into the internals of the architecture and technology which power AppDynamics Application Analytics and into the new features in the 4.2 release. Specifically, we will look at AppDynamics query language, transactions/logs correlation, deeper insight from data, API for ingesting custom data, API for searching programmatically AppDynamics data. We will share and investigate the new widgets, custom dashboards for visualization along with granular access control to protect your data. Watch this presentation in order to learn the technical ins-and-outs of the AppDynamics Application Analytics platform.
This deck was originally presented at AppSphere 2015.
6. What if you knew in real-time…
Top Product Categories
Customers by Tier
Average Response Time
$232,390Revenue impact of
poor performance
Top products
generating
highest revenue
Revenue by cities Most of customers experiencing
issues are Platinum
Total Revenues
Top Cities
Performance timestamp
indicating trend towards
problem
10. Data sources?
Transaction Data
Browser & Session
Data
Mobile Data
Log Data
011010110101101011010110101101011001
011010110101101011010110101101011001
011010110101101011010110101101011001
Application Analytics
Add custom fields
Data Sources
APM Transaction Events
Browser Request Events
Mobile Request Events
Log Events
Collect
Data
Process
Data
Visualize
Data
Act on
Data
Custom Events
Synthetic Data
17. Technology: what makes us different
Single pane of Glass
(APM + Application Analytics)
Automatically correlate
transactions to logs
Analyze data in
real-time
OPTION 1
SLIDE
SaaS On-Prem Private cloud
Your choice:
Public cloud
24. ADQL (AppDynamics Query Language)
• A SQL flavored language
• Auto-complete
• Designed to cover multiple
event types
• Flexible architecture to expand
for advanced capabilities
39. AppDynamics agents monitor every Business Transactions
Automatically collected
Business Transaction
Context
and deliver end-to-end application performance visibility
100% Business Transactions
40. AppDynamics agents collect business data
and enable business and operational visibility
Platinum
customer
British
Airways API
Flight to
London
Total cost
$1,800
Kevin Gold
IOS
AT&T
Laura Lewis
iPad
T-Mobile
Poor
experience
Flight to
New York
Code level
issue
Silver
customer
Total cost
$712
Matt Jacobs
IOS
AT&T
Good
experience
Gold
customer Flight to
Miami
Total cost
$650
Database
issue
Tracy Kraft
iPhone 6
AT&T
Poor
experience
Silver
customer
Code level
issue
Flight to
Tokyo
Total cost
$1,100
Libby Halll
iPad
T-Mobile
Poor
experience
Platinum
customer
Code level
issue
Flight to
New York
Total cost
$850
Log
42. Log
Platinum
customer
British
Airways API
Flight to
London
Total cost
$1,800
Kevin Gold
IOS
AT&T
Laura Lewis
iPad
T-Mobile
Poor
experience
Flight to
New York
Code level
issue
Silver
customer
Total cost
$712
Matt Jacobs
IOS
AT&T
Good
experience
Gold
customer Flight to
Miami
Total cost
$650
Database
issue
Tracy Kraft
iPhone 6
AT&T
Poor
experience
Silver
customer
Code level
issue
Flight to
Tokyo
Total cost
$1,100
Libby Halll
iPad
T-Mobile
Poor
experience
Platinum
customer
Code level
issue
Flight to
New York
Total cost
$850
Jude
Germangy
Platinum
customer
Book Flight
Flight to
London
Travel
Airways API
Total cost
$1,800
Ready for real-time insights
Automatically collected
Fully correlated
Platinum customer, Jude Germangy, failed while booking a flight to London for
$1,800 while using a browser due to issues with the Travel Airways API
Answer individual user questions in real-time
43. Log
Platinum
customer
British
Airways API
Flight to
London
Total cost
$1,800
Kevin Gold
IOS
AT&T
Laura Lewis
iPad
T-Mobile
Poor
experience
Flight to
New York
Code level
issue
Silver
customer
Total cost
$712
Matt Jacobs
IOS
AT&T
Good
experience
Gold
customer Flight to
Miami
Total cost
$650
Database
issue
Tracy Kraft
iPhone 6
AT&T
Poor
experience
Silver
customer
Code level
issue
Flight to
Tokyo
Total cost
$1,100
Libby Halll
iPad
T-Mobile
Poor
experience
Platinum
customer
Code level
issue
Flight to
New York
Total cost
$850
Answer aggregate questions in real-time
Poor
experience
Poor
experience
Poor
experiencePoor
experience
Poor
experience
Poor
experience
Total cost
$1,800
Total cost
$850
Total cost
$712
Total cost
$1,100
Total cost
$650
A total of $4,785 revenues were at risk due to
poor experience while booking flights
Ready for real-time insights
Automatically collected
Fully correlated