A brief overview of ITIL Capacity Management. The need for both component data and transaction data to do effective Capacity Management. Monitor your business transactions. Component data, business data and a framework for Capacity Management reporting, analysis, and planning. An integrated solution for Capacity Management

1. From Components to Real-User Transactions to the Business: An Integrated approach to ITIL-aligned Capacity Management September 2011 Rich Fronheiser, Metron-Athene, Inc.

2. Agenda A brief overview of ITIL Capacity Management The need for both component data and transaction data to do effective Capacity Management Monitor your business transactions Component data, business data and a framework for Capacity Management reporting, analysis, and planning An integrated solution for Capacity Management

3. What is ITIL (v3)? Good practice for IT Service Management Based on the Service Management Lifecycle Service Strategy Service Design Service Transition Service Operation Continual Service Improvement

4. ITIL Capacity Management Goal Purpose Objectives Scope

5. ITIL Capacity Management Three levels of Capacity Management Business Service Component Requirements most often flow “top-down” and data and information “bottom-up”

6. Capacity Management Activities Iterative activities Monitoring, Analysis, Tuning, Implementation Demand Management Modeling Application sizing Modeling Storing data in the CMIS Completing the Capacity Plan

7. Capacity Management: Basic questions that need answers What is the expected business growth next year, and how will it affect our IT infrastructure? Which infrastructure items (servers and logical components) are serving which business applications and services? How will the relationship between the underlying components affect services levels and in a wider context the business that uses them? Which infrastructure components can be consolidated without degrading service levels?

8. Today’s Capacity Management Challenge Planning ahead to achieve service levels while managing:

9. Many kinds of data needed Business data Service data Component data Financial data Relationships

10. Sharepath from Correlsense Allows you to monitor all real-user transactions in production Allows you to capture statistics from all the hops in the infrastructure Builds a map that shows the relationships between IT components even in very complicated environments Provides statistics for many different functions in an organization, including Capacity Management

11. Real-Time Detection – The Key to Business/IT Alignment! Transaction Metering Mapping and Modeling External Cloud Partner App Web Services Partner App App Servers Virtual Web Servers Wire Xfer >$100K Wire Xfer <$100K Firewall Msg. Broker Load Balancer DB App Servers Proxy Virtual Web Servers Mainframe Directory Server Network Firewall

12. How SharePath Works Patent pending technology No need for code change Stores 100% of all traffic – by design No manual modeling Negligible overhead Individual Transaction Path Detection Transaction and Application Modeling Auto-detection of dependency topology

13. Aligning Business and IT for Optimized Planning Transactions are the missing link that tie together infrastructure, applications and the business

14. Aligning Business and IT for Optimized Planning By tracking transactions through all hops, SharePath creates valuable, business-contextual data

15. Data for Key IT Initiatives

16. athene® 10/18/2011 Capacity Management Data / Information 16

17. athene® 10/18/2011 Ad hoc drill down 17

18. athene® 10/18/2011 Robust Reporting 18

19. athene® Component data can be captured or imported from many different platforms and sources Business data can be imported into a central database for use within Planning (trending and modeling) applications Data can be captured and stored at all three levels of ITIL Capacity Management – let’s see how Sharepathdata can be used within Athene to provide an enterprise-wide Capacity Management solution

20. Athene/Sharepath Demo

21. Introduction How does SharePath integrate with Athene? How can it be used in the real-world? What value does it add?

22. Scenario Two applications Online Trading eBanking Hosted on multiple servers (UNIX & Linux)

23. Data Integration

24. Data Integration

25. Data Integration

26. Data Integration

27. “A model is a simplification of reality, built for a specific purpose” Models

28. Modeling Overview - Trending

29. Non-linear change in Response Time R Response times are non-linear Traffic related queuing Lists, cache, freeslots Constraints of OS and network Constraints of RDBMS etc Feedback loops Non-intuitive. R Utilization U Modeling Overview - Analytical

30. Modeling Challenges Which servers are hosting which applications? Understanding the relationships Understanding the volumes Understanding the resource consumption Accurately assigning resource usage SharePath accurately captures the workload split

31. Modeling - Baseline

32. Modeling – scenario one

33. Modeling – scenario two

34. Summary Business runs on transactions, transactions run on IT Transactions are the missing link between Components Services Business By using SharePath to fully track transactions and Athene to optimize capacity management Valuable business/IT data is created Unprecedented visibility is gained Enabling Athene to use this valuable data drives better capacity management decisions and predictions