© 2004 IBM Corporation Autonomic Computing Round Table David B. Bartlett, Director of Autonomic...

© 2004 IBM Corporation

Autonomic Computing Round Table

David B. Bartlett, Director of Autonomic Computing

The Westin St. Francis 4/5/05

22

Global marketplace

Economic volatility and financial scrutiny

Reduced product cycles

Regulations and standards

Industry consolidation

Our Current Business Environment

Complexity

Compliance

Speed of Change

Cost

33

Global marketplace

Economic volatility and financial scrutiny

Reduced product cycles

Regulations and standards

Industry consolidation

Our Current Business Environment

Focus on core competencies and innovation

Increase business flexibility and efficiency

Provide continuous global operations

Grow revenue while reducing costs

Accelerate time to market

Sense and respond to change rapidly

© 2003 IBM Corporation4 Autonomic Computing

Definition:

An on demand business is an

enterprise whose business

processes—integrated

end-to-end across the

company and with key

partners, suppliers and

customers—can respond with

flexibility and speed to any

customer demand, market

opportunity or external threat

The new on demand era


Automation and integration of business processes increase business responsiveness

MortgageApplication

ReviewApplication

ExternalCreditCheck

InternalCredit

Analysis

EvaluateCreditScore

MortgageProposal

Processing

OK? CreditScore

EvaluateRisk

H

M

L

L

H

Y

N

STOP

STOP

RiskScore

Business Environment

Example: Mortgage Loan Process

RejectNotification

STOP

Business process reengineering from 1 week to 30 minutes


Automation and integration of business processes increase business responsiveness

MortgageApplication

ReviewApplication

ExternalCreditCheck

InternalCredit

Analysis

EvaluateCreditScore

MortgageProposal

Processing

OK? CreditScore

EvaluateRisk

H

M

L

L

H

Y

N

STOP

STOP

RiskScore

IT Environment


Example: Mortgage Loan Process

RejectNotification

STOP

Business process reengineering from 1 week to 30 minutes

IT processes can take days (e.g. problem management, system configuration, …)

… but the IT environment complexity may be a hurdle to business responsiveness


As businesses adopt the on demand business model, they increase their responsiveness to the market but place

more pressure on IT

Business expectation of IT responsiveness

IT responsiveness

Evolution to on demand

Timeto

Respond


Business expectation of IT responsiveness

Evolution to on demand

Timeto

Respond

Autonomic computing helps companies focus less on managing technology and more on building an on

demand business

IT responsiveness


How can one improve the management of predictable and unpredictable events that can impact the ability to deliver the service expected?

MortgageApplication

ReviewApplication

ExternalCreditCheck

InternalCredit

Analysis

EvaluateCreditScore

MortgageProposal

Processing

OK? CreditScore

Evaluate

Risk

H

M

L RejectNotification

L

H

Y

NSTOP STOP

STOP

RiskScore


IT Environment

Merge & AcquisitionRegulation compliance Entering new markets

Suppliers

CustomersBusiness partners

New applicationSLA Workload increaseBusiness rules

Security Mgtuser admin Change Mgt Workload Mgt Performance Mgt

Terrorism

Earthquake

Virus SW upgrade New HW

Security Mgtintrusion detection Problem Mgt Configuration Mgt

Availability Mgt

HW failure Application logic error

FinancialMgt

AssetMgt

Competitive pressure

IT MgtProcesses

Economy

Cost reduction


MortgageApplication

ReviewApplication

ExternalCreditCheck

InternalCredit

Analysis

EvaluateCreditScore

MortgageProposal

Processing

OK? CreditScore

Evaluate

Risk

H

M

L RejectNotification

L

H

Y

NSTOP STOP

STOP

RiskScore


IT Environment

Security Mgtuser admin Change Mgt Workload Mgt Performance Mgt

Security Mgtintrusion detection Problem Mgt Configuration Mgt

Availability Mgt

FinancialMgt

AssetMgt

ITIL based Processes

Self-Managing Autonomic Technology is what enables an infrastructure to adapt to unpredictable conditions, allow for continuous tuning, prevent and recover from

failures, and provide a safe and secure environment.


“IBM’s autonomic computing initiative will become its most important cross-product initiative (as the foundation of On Demand Business).”

Increased return on IT investment

Improved resiliency and quality of service

Accelerated time to value

Providing customer value

Focus More on your Business - Less on Managing Technology

Adapt to unpredictable conditions Continuously tune themselves Prevent and recover from failures Provide a safe environment

Self-Managing Autonomic Technology iswhat enables infrastructures to:


Autonomic Computing Strategy

IBM led Co-creation and thought leadership

Lead an industry wide open standard initiative to reduce the cost and complexity of managing IT systems.

– Engage with major IT vendors and standards organizations to drive standards approval

– Engage with business partners and industry leaders to drive AC adoption in market – Get industry value of AC recognized and supported by key influencers

Work across IBM and business partners to:– Progress industry wide workgroups on standards– Deliver integrated and consumable AC architecture– Develop AC common technologies and drive their integration into IBM and BP products


Co-creation and Thought leadership must occur on many levels

Target groups Topics

CEO Opinion leaders

National/business mediaGovernment/NGOs

Market issuesClient business development

Education, work-forceMacroeconomic issues

PeersAnalysts

Business Media

PartnershipsDistribution, sales

ChannelBusiness advantages, ROI

IT-personelTechnology media

Users

StandardsFunctionality, user

friendlinessNew features

Marketleader

Productleader

Thought leader

OwnersInvestors

Financial communities

Company performanceFinancial information

Major news relevant to financial community

Financial CIO

Burson-Martsteller 2004


IBM Autonomic Computing Structure

Open Standards

Autonomic Computing Architecture

Products delivering autonomic features

Autonomic Computing Common Components

Define a base reference architecture which creates a common language and design for autonomic computing

Develop common components that provide for an open framework for the industry

Deliver products with built-in autonomic capabilities

Create and leverage open standards

for autonomic computing



Autonomic Computing Architecture Autonomic Computing

Architecture Blueprint Autonomic Computing

Control Loop

Knowledge

Plan

ExecuteMonitor

Analyze

Sense Respond

Autonomic Manager

WWW



Open Standards



Open Standards


Eclipse based tooling Common Base Event schema Solution installation schema






Problem Determination

Provisioning Admin ConsoleWorkload Mgt

AC Toolkit

Log/Trace Analyzer Generic Log AdapterSolution installation & dependency checkingCommon ConsoleAutonomic Management Engine

Installation Management Engine



Open Standards





IBM Solutions Tivoli Provisioning Mgr SAN Volume Controller products with 415+ AC features

IBM Partner solutions Cisco

Bus Ready Data Ctr

IBM Cisco Sentry Security Solution

Installshield & Zero G

AC Soln InstallSinglestep

Unity AC AME and many more…

Open Standards



Feedback

Dat

a

Policies

Knowledge

Common Base Event

PolicyRepository

SymptomService

ApplicationServer

Servers

Storage Devices

Database

Networks

Applications Ad

ap

ters

Ad

ap

ters

Configuration

Call Home

Autonomic Computing Self-Healing Systems


”Improving the quality of our log data has been key to the resolution of service outages. The Common Base Event together with best practices for implementation will allow us to standardize this across our applications. Problem determination of service outages takes an unpredictable amount of time, and can take from hours to days – or weeks if we need to write analysis tools. The Log Analyzer has demonstrated that it can be used in this process to consistently generate first pass causal analysis of logs in less than an hour, and should also assist with proactive activities to prevent failures from occurring.” Mike Dewey, Head of Deployment Standards, Reuters

“IBM’s Problem Determination toolkit Log Trace Analyzer provided eBay a simplified, common and integrated tool that helped us to more effectively manage log analysis and problem determination for our online market place infrastructure. In the problem data collection process we reduced the time by 60%, which will reduce overall problem determination and resolution time.” Mark Hydar, Manager, Enterprise Systems Management, eBay


The evolution to Autonomic Computing 5 levels as a context to provide a roadmap to move forward today….

Autonomic Dynamic business policy-based management

Adaptive System monitors, correlates and takes action

Predictive Cross-resource correlation and guidance

Managed Centralized tools, manual actions

Basic Manual analysis and problem solving

Levels Measured by:

Depth of implementation

Scope of implementation

Service Flows based on ITIL


The evolution to Autonomic Computing 3 levels from a C-level business value context






Levels Measured by:

Business Solutions

Business Benefits

on demand infrastructure mgmt

Systems management

Resource managementReso

urce

S

ystems

B

usiness


SystemsManagement

ResourceManagement

Levels of ACEnablement

ITBenefits

ITRequirement

CIO ITChallenges

TECHNOLOGY

• Dynamic computing capacity on-demand

• Meet SLAs based on application business priority

• Optimize usage of IT resources

• Avoid availability impacting reconfiguration errors

• Improved IT resource utilization

• Increasing ROI on IT investment

• Increase business application availability and security

Federated Department Stores Leverages Latest Technology Self-Managing Autonomic Technology enables dynamic provisioning

CIO BusinessChallenges

BusinessRequirement

BusinessBenefits

BUSINESS

• Increase revenue from online shopping

• Streamline and integrate the advertising business process across all Federated brands

• Consolidate LOBs on single advertising application without added IT investment

• Handle peak demand without incurring cost to build infrastructure for seldom needed peak conditions

• Enhanced customer buying experience improves customer loyalty while increasing sales

• Fix unsatisfying user experience, eroding sales and the bottom line

• Contain escalating costs associated with over-capacity and underutilized resources

< CIO >


BusinessManagement

SystemsManagement

ResourceManagement

Levels of ACEnablement

ITBenefits

ITRequirement

CIO ITChallenges

TECHNOLOGY

• Dynamic computing capacity on-demand

• Meet SLAs based on application business priority

• Optimize usage of IT resources

• Avoid availability impacting reconfiguration errors

• Improved IT resource utilization

• Increasing ROI on IT investment

• Increase business application availability and security

Federated Department Stores Captures New Business Opportunity Self-Managing Autonomic Technology enables expansion into new market opportunities

CIO BusinessChallenges

BusinessRequirement

BusinessBenefits

BUSINESS

Increase revenue from online shopping

Streamline and integrate the advertising business process across all Federated brands

Consolidate LOBs on single advertising application without added IT investment

• Handle additional business applications rapidly and peak demand without incurring incremental costs

• Enhanced customer buying experience improves customer loyalty while increasing sales

• Fix poor user experience, eroding sales and profits

• Contain escalating costs associated with over-capacity and underutilized resources

< CIO >


End of Deck

www.ibm.com/autonomic








Characteristics: Multiple sources of system generated data

Skills: Requires extensive, highly skilled IT staff

Benefits:








Characteristics: Consolidation of data and actions through management tools

Skills: IT staff analyzes and takes actions

Benefits: Greater system awareness, improved productivity








Characteristics: System monitors, correlates, and recommends action

Skills: IT staff approves and initiates actions

Benefits: Reduced dependency on deep skills, faster/better decision making








Characteristics: System monitors, correlates and takes action

Skills: IT staff manages performance against SLAs

Benefits: Balanced human/system interaction, IT agility and resiliency








Characteristics: Integrated components dynamically managed by business rules/policies

Skills: IT staff focuses on enabling business needs

Benefits: Business policy drives IT management, business agility and resiliency


Levels of Autonomic Computing Regardless of where YOUR infrastructure is today, autonomic technologies can move YOU forward.






Technology Proof of ConceptsProduct ImplementationsAutonomic Innovation WorkshopsAutonomic Readiness Engagements


Today’s IT environment is increasingly complex and costly to manage

Intranets

ValueChain

Extranets

Databases

Transactions

Heterogeneous PlatformsMobile

Devices

Networks

Legacy Systems and Applications

DMZ

…staff and ongoing costs associated with maintaining IT systems, represents the largest portion of IT spending — about 70 percent of overall IT spending in the typical enterprise…

Large enterprises are dissatisfied with the reduction in IT operational costs and complexity that they expected would accompany improvements in operational efficiency.

Gartner

Routers

ApplicationServers

RFIDtags

Increased number of end-points Increased integration

Web Site

IT Moore’s law



Autonomic Computing Architecture Autonomic Computing

Architecture Blueprint Autonomic Computing

Control Loop


Knowledge

Plan

ExecuteMonitor

Analyze

Sense Respond

Autonomic Manager

Delegate

Assess Impact

Plan Action

DelegateTake ActionSense Symptom

Delegate

Delegate

WWW

Diagnose Symptom

Self-Managing Autonomic Technology: System intelligence for the on demand business

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