Diagnostics or usage analysis of any application is never straight forward. The current tools available for developers and dev teams are very limiting. With Application Insights Analytics, we allow developers to query their application data in an adhoc and interactive fashion. Our goal is to help developers answer hardest questions about their applications instantly.

4. Telemetry is collected at each tier: server
backend, middleware, web service &
browser
Telemetry arrives in Application Insights
service in the cloud where it is processed &
stored
Detect, Triage & Diagnose issues with
powerful out of the box Performance &
Usage telemetry

5. Service
Performance
• Transaction response time
• DB response time
• Exceptions
• CPU and memory utilization
• Data Center location
• Custom events
• Custom dimensions
• App KPIs
• Conversion rates
• Funnel, Cohort analysis
• Response time
• Errors
• Geo location
• Browser type and version
• Session
App/Business
Metrics
Customer
Experience

6. Customer
complains
about an
app issue
What is the
overall error
trend?
Is the error
trend
unusual ?
What are
the errors
broken by
type?
What is the
most
frequent
error type?
How many
users are
impacted by
this error?
Which set of
user are
having the
worst
experience?
Look at a
user session
to see what
this user
did?
Did the
users
actions
cause any
unusual
activity on
the DB?
Slow
response
from DB.
Dive into
code….

7. Big data analytical solution at-scale

11. Application
Insights
• Pre-defined, guided experiences
• Bringing together relevant data
to Triage, Detect, Diagnose and
Operationalize
• Proactive Insights
• Native Visual Studio and Azure
experience
• Analytics Enabled
Analytics
• Adhoc analysis for deep
diagnostics
• Rich Query language
• Inline Visualization
• Drill through from pre-defined
experience
• Operationalize findings

13. Channel 9