SIM343
Werner Heisenberg, 1927
•
Unreliable incident detection
Operations
• Limited communication of knowledge between Operations and
“It is Development
your
my code
“Why?
It works
fine
in !”
“So server,
how
is itnot
failing?”
staging”
• Incorrect
problem attribution
• Time consuming problem resolution
“But
I only
know
it’s your
unavailable
“How
do
I
monitor
.NET
“How should
I
know,
I
didn’t
write
“!@$#%
$^%&
*^!!!”
when
my
customers
call”
application
availability in
thefor
code”
production?”
Development
“the management of existing business-facing applications to optimize value delivered
for acceptable cost and risk.”
- Gartner - 2010
Or in simpler terms “Application Performance Management”
Application Real-Time Architecture Discovery
and Modeling
End User Experience
Monitoring
Application Performance Analytics
Optimize Resources
Improve Business Processes
User-Defined Transaction Profiling
Application Component Deep Dive Monitoring
Web Browser
CSM Collector
Event information is displayed or the URL
of the event is sent via e-mail notification
SCOM 2007
Server
SQL Event Storage
SE-Viewer Server
Operations PC
Structured Events are sent through
WMI to SCOM
SQL Event Storage
Development PC
Portable Device
Management Platform
End User
Service Telemetry Layer
Requests
Service
SCOM + .NET MP
NOC Operator
Volume based alerts for unknown problems
Reliability and Performance monitoring
Security/Connectivity problem remediation
DB performance troubleshooting
KPI baselining/monitoring
SE-Viewer
Problem management
Troubleshooting/debugging
Support/Dev
Advisor
Biz/App Owner
QoS analysis
Before/After
Quick wins
Application scoring
SLA management
Service
Distributed application
Requests
End User
Platform
Service Telemetry Layer
Application Component
Request
Dependency
Discovery
ASP.NET, WCF, COM+,
NT Service, Winforms
QoS metrics:
Availability = available
time / total time
Reliability = successful
requests / total request
Performance = satisfied
count / total request
Performance SLA
Critical/Non-critical internal
failures
Run-time root cause info
Distributed chaining
Request metrics: call/sec,
avg time, % failures, % perf
degradation
Resource calls (SQL, WCF,
.NET Remoting)
Connectivity & Security
failures
Platform
Worker process load:
CPU
Memaory
I/O
# Problems
Agile Release
1-4 weeks
Traditional Release
12-24 months
Known
Unknown
Time
Changes in the environment (elasticity, 3rd party dependency) and release frequency invalidate knowledge
about application behavior therefore exacerbating the need for highly adaptable LOB application monitoring
Executive – Improving Business Performance
Management – Optimizing Resources and Processes
Architecture
Web 2.0
Development
QA/Test
Production
!
Support
.NET Transaction Monitoring
Lower costs and simplify management of datacenter
applications
Optimize availability and performance of critical LOB
applications
Build unified management of applications from the
datacenter to the cloud
Blue Section
http://www.microsoft.com/cloud/
http://www.microsoft.com/privatecloud/
http://www.microsoft.com/windowsserver/
http://www.microsoft.com/windowsazure/
http://www.microsoft.com/systemcenter/
http://www.microsoft.com/forefront/
http://northamerica.msteched.com
www.microsoft.com/teched
www.microsoft.com/learning
http://microsoft.com/technet
http://microsoft.com/msdn