Transaction-based Capacity Planning for greater IT Reliability™ webinar

From Components to Real-User Transactions to the Business:

(How Metron and Correlsense Integrate to Provide an ITIL-aligned Capacity Management Solution)

September 22, 2011

Rich Fronheiser, Metron-Athene, Inc.

Agenda

• A brief overview of ITIL Capacity Management

• The need for both component data and transaction data to do effective Capacity Management

• How Sharepath can help you monitor your transactions

• How Athene can provide component data and business data and a framework for effective Capacity Management reporting, analysis, and planning

• How Athene and Sharepath can provide an integrated solution for effective Capacity Management

What is ITIL (v3)?

• Good practice for IT Service Management

• Based on the Service Management Lifecycleo Service Strategyo Service Designo Service Transitiono Service Operationo Continual Service Improvement

ITIL Capacity Management

• Goal

• Purpose

• Objectives

• Scope

ITIL Capacity Management

• Three levels of Capacity Managemento Businesso Serviceo Component

• Requirements most often flow “top-down” and data and information “bottom-up”

Capacity Management Activities

• Iterative activitieso Monitoring, Analysis, Tuning, Implementation

• Demand Management

• Modeling

• Application sizing

• Modeling

• Storing data in the CMIS

• Completing the Capacity Plan

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?

Today’s Capacity Management Challenge

Planning ahead to achieve service levels while managing:

Business Constant Change, M&A

Service Complex, Multi-Tiered Architectures, SOA

ComponentHeterogeneous, Dynamic (Virtualization,

Cloud)

Many kinds of data needed

• Business data

• Service data

• Component data

• Financial data

• Relationships

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

Real-Time Detection – The Key to Business/IT Alignment!

• Transaction Metering

• Mapping and Modeling

Network Firewall

Proxy

VirtualWeb

ServersDirectory

Server

Load Balancer

App Servers

Mainframe

DB

Partner App

ExternalCloud

Web Services

Msg. Broker

Firewall

VirtualWeb

Servers

App Servers

Partner App

Wire Xfer>$100K

Wire Xfer<$100K

How SharePath Works

o Patent pending technology

o No need for code change

o Stores 100% of all traffic –

by design

o No manual modeling

o Negligible overhead

Individual Transaction Path Detection

Transaction and Application Modeling

Auto-detection of dependency topology

Unprecedented Business/IT Visibility

Service Level Intelligence™

Auto-Detected Dependency Mapping

Multi-Tier Transaction Modeling

Jan

Mar

02040

Application Meter-ing

LDAP Mainframe

Shared Databases Shared Services

Database Application Servers

Web Servers Proxies

Aligning Business and IT for Optimized Planning

• Transactions are the missing link that tie together

infrastructure, applications and the business

Business

TRX

IT

Aligning Business and IT for Optimized Planning

• By tracking transactions through all hops, SharePath creates valuable, business-contextual data

Real User Experience

Application

Network

Infrastructure

Data for Key IT Initiatives

SharePath Data

Problem Isolation

BSM

SLAs

Roll Outs

End Users

Trends

athene®

17

Capacity Management Data / Information

athene®

18

Ad hoc drill down

athene®

19

Robust Reporting

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 Sharepath

data can be used within Athene to provide an

enterprise-wide Capacity Management solution

Athene/Sharepath Demo

Introduction

• How does SharePath integrate with Athene?

• How can it be used in the real-world?

• What value does it add?

Scenario

• Two applicationso Online Tradingo eBanking

• Hosted on multiple servers (UNIX & Linux)

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

21/07/2010

SLA Warning SLA Breach Average Response seconds

Online Trading Response Time - 21/07/2010

Data Integration

0

5000

10000

15000

20000

25000

30000

35000

21/07/2010

Customer Attributes Equity Orders Order Routing OT Risk Analysis

Online Trading Total Transactions by Type - 21/07/2010

Data Integration

0

10

20

30

40

50

60

70

80

90

100

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

21/07/2010

CPU Utilization Total Reported %, mercury Average Response seconds, resptime,OnlineTrading

Online Trading Response Time Correlation

Data Integration

0

500

1000

1500

2000

2500

3000

3500

21/07/2010

eBanking,Customer Verificatio,mercury Online Trading,OT Risk Analysis,mercury

Server Utilization by Application on the 18/07/2010 for mercury

Data Integration

• SLA’s are being breached, what course of action should we take?

• How much extra work can an application cope with?

• Should I move a workload or upgrade the server?

Questions

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

Models

Modeling Overview - Trending

Utilization U

Non-linear change in Response

Time R

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.

Modeling Overview - Analytical

Modeling Challenges

• Which servers are hosting which applications?o Understanding the relationshipso Understanding the volumeso Understanding the resource consumption

• Accurately assigning resource usageo SharePath accurately captures the workload split

Modeling - Baseline

Modeling – scenario one

Modeling – scenario two

Summary

• Business runs on transactions, transactions run on IT o Transactions are the missing link betweeno Componentso Serviceso Business

• By using SharePath to fully track transactions and Athene to optimize capacity management o Valuable business/IT data is createdo Unprecedented visibility is gained

• Enabling Athene to use this valuable data drives better capacity management decisions and predictions

• Together, Correlsense and Metron provide the first

transaction-based capacity planning solution that is

capable of handling today’s business and IT alignment

challenges

Summary

QUESTIONS?

Further information can be found at

www.metron-athene.com

or by contacting

rich.fronheiser@metron-athene.com