The proliferation of virtualized applications has greatly increased the complexity of capacity planning and performance management. Monitoring and forecasting CPU utilization is no longer enough. IT operations and capacity planners now must understand and optimize their applications and infrastructure from the end user to the data center. Join Correlsense and Metron-Athene for an online seminar which will explore key performance management and capacity planning strategies for a virtualized world. We will discuss: What you need to know about capacity management when operating in both physical and virtual environments How performance monitoring in virtual environments relates to your capacity management goals What is unique about capacity and performance management for virtualized applications

1. Five APM and Capacity Planning
Imperatives for a Virtualized World
Your hosts:
Rich Fronheiser Frank Days
Metron-Athene Correlsense
October 17, 2012

2. Agenda
1. Challenges of Virtualiztion
2. The Five Imperatives
3. Summary/Q&A

3. Housekeeping
• Presentation will last 30 minutes
• Submit questions via the chat window
• Slides will be made available tomorrow

4. CHALLENGES OF VIRTUALIZATION

5. Managing Entire Environment
Planning ahead to meet biz requirements and SLAs while managing:
Business Constant Change, M&A
Service Complex, Multi-Tiered Architectures, SOA
Component Heterogeneous, Dynamic (Virtual, Cloud)

6. Moving from Physical to Virtual
• Virtual infrastructure is shared
• Can be over-subscribed
• Control in the hands of resources manager
• App performance before and after migration is
critical

7. Maintaining SLAs
• SLAs are still in place even if you virtualize
• Load testing might not provide enough info
• How do you monitor desktop response time?
• How do you know your end to end performance?

8. Traditional Tools are Insufficient
Lack end-to-end performance management and capacity planning functions
“CPU and “PING works, “SAN has low “Plenty of Storage &
Memory are OK” Temp is OK” utilization” No hardware failures”
Application Database X
Server Server Fabric
Storage Target
Application Server SAN
Performance SW Mgmt. SW Mgmt. SW
Array Mgmt. SW
SRM Tools
“Plenty of
capacity”

9. THE FIVE IMPERATIVES

10. Imperative 1:
Changing of Mindsets
• Shift to virtualization requires a change of mindset in many
data centers
– Technology moves work to pockets of adequate capacity
– Proper amounts of capacity on a host level is no longer focus
– Ensure adequate headroom for periods of peak demand
– Virtualization provides savings only if capacity managed

11. Imperative 2:
ITIL – Service-Driven Approach
• Driven by:
– Shared infrastructure/resources
– Centralized storage
– Reliance on network resources
• Strong processes to drive today’s virtualized data center
– Incident Management
– Problem Management
– Service Level Management
• Proper CM ensures fewer problems and that SLAs are met

12. Imperative 3:
Focus on Services and SLAs
• ITIL-based approach
• The service lifecycle is the central focus
• Crucial that SLAs are developed that are
– Specific
– Measurable
– Achievable
– At an acceptable cost
• Ensure enough (but not too much) capacity to meet SLAs

13. Focus on Services and SLAs
• Measuring end-to-end transaction time for production
transactions is necessary to see if SLAs are met
• When SLAs are not met, model scenarios to determine
infrastructure changes
• APM data helps find opportunities to right-size virtualized
infrastructures

14. APM/Capacity Data Integration
Online Trading Response Time - 21/07/2010
SLA Warn ing SLA Breach Average Response seconds
4.0
3.5
3.0
2.5
2.0
1.5
1.0
0.5
0.0
21/07/2 010

15. APM/Capacity Data Integration
Online Trading Total Transactions by Type - 21/07/2010
Customer Attri butes Equi ty Orders Order Routi ng OT Risk Anal ysis
35000
30000
25000
20000
15000
10000
5000
0
21/07/2 010

16. APM/Capacity Data Integration
Online Trading Response Time Correlation
CPU Uti li zati on Tota l Reported %, mercury Average Response seconds, resp ti me,Onl in eTra ding
100 4.0
90
3.5
80
3.0
70
2.5
60
50 2.0
40
1.5
30
1.0
20
0.5
10
0 0.0
21/07/2 010

17. APM/Capacity Data Integration
Server Utilization by Application on the 18/07/2010 for mercury
eBan ki ng,Customer Verifi ca ti o,mercu ry On li ne T radi ng,OT Ri sk Anal ysi s,mercury
3500
3000
2500
2000
1500
1000
500
0
21/07/2 010

18. Imperative 4:
Understand your Complete IT Picture
• Monitor critical application performance across physical and
virtual environments
• Understand your true end-user experience
• Verify performance in the new virtual environment

19. Keep an Eye on your Top Ten Killers

20. Imperative 5:
Monitor your IT Infrastructure End to End
Who what response times
Your users are experiencing
SERVER
WEB APP SVR
PROXY
MQ/ESB
LDAP CORBA
DCOM
Web
Services
Datacenter

21. Regardless of Location

22. And Across your Infrastructure

23. Summary
• Virtualization brings many challenges
– P2V migrations
– Applications environments
– Traditional tools are insufficient
• Solutions
– SharePath to fully track transactions
– Athene to optimize capacity management
– Using performance data for better capacity management
decisions and predictions

24. Questions
More information:
info@correlsense.com
www.metron-athene.com
www.correlsense.com
www.real-user-monitoring.com