An Integrated Approach to ITIL Aligned Capacity Management

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

description

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

Transcript of An Integrated Approach to ITIL Aligned Capacity Management

Page 1: An Integrated Approach to ITIL Aligned Capacity Management

From Components to Real-User Transactions to the Business: An Integrated approach to ITIL-aligned Capacity Management

September 2011

Rich Fronheiser, Metron-Athene, Inc.

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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

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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

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ITIL Capacity Management

• Goal

• Purpose

• Objectives

• Scope

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ITIL Capacity Management

• Three levels of Capacity Managemento Businesso Serviceo Component

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

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Capacity Management Activities

• Iterative activitieso Monitoring, Analysis, Tuning, Implementation

• Demand Management

• Modeling

• Application sizing

• Modeling

• Storing data in the CMIS

• Completing the Capacity Plan

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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?

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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)

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Many kinds of data needed

• Business data

• Service data

• Component data

• Financial data

• Relationships

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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

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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

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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

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Aligning Business and IT for Optimized Planning

• Transactions are the missing link that tie together

infrastructure, applications and the business

Business

TRX

IT

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Aligning Business and IT for Optimized Planning

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

Real User Experienc

e

Application

Network

Infrastructure

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Data for Key IT Initiatives

SharePath Data

Problem Isolation

BSM

SLAsRoll Outs

End Users

Trends

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athene®

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Capacity Management Data / Information

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athene®

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Ad hoc drill down

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athene®

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Robust Reporting

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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

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Athene/Sharepath Demo

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Introduction

• How does SharePath integrate with Athene?

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

• What value does it add?

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Scenario

• Two applicationso Online Tradingo eBanking

• Hosted on multiple servers (UNIX & Linux)

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Data Integration

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Data Integration

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Data Integration

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Data Integration

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

Models

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Modeling Overview - Trending

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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

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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

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Modeling - Baseline

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Modeling – scenario one

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Modeling – scenario two

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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