Transcript Slide 1

Autonomic Computing Round Table
David B. Bartlett, Director of Autonomic Computing
The Westin St. Francis 4/5/05
© 2004 IBM Corporation
Our Current Business Environment
Global marketplace
Economic volatility and
financial scrutiny
Reduced product cycles
Regulations and
standards
Industry consolidation
Complexity
Compliance
Speed of Change
Cost
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Our Current Business Environment
Global marketplace
Economic volatility and
financial scrutiny
Reduced product cycles
Regulations and
standards
Industry consolidation
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
3
The new on demand era
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
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Autonomic Computing
© 2003 IBM Corporation
Automation and integration of business processes increase business responsiveness
Example: Mortgage Loan Process
External
Credit
Check
Mortgage
Application
Mortgage
Proposal
Processing
STOP
Reject
Notification
STOP
H
Business Environment
L
Review
Application
OK?
Evaluate
Credit
Score
Y
Credit
Score
M
N
STOP
Evaluate
Risk
Risk
Score
H
Internal
Credit
Analysis
L
Business process reengineering from 1 week to 30 minutes
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Autonomic Computing
© 2003 IBM Corporation
Automation and integration of business processes increase business responsiveness
Example: Mortgage Loan Process
External
Credit
Check
Mortgage
Application
Mortgage
Proposal
Processing
STOP
Reject
Notification
STOP
H
Business Environment
L
Review
Application
OK?
Evaluate
Credit
Score
Y
Credit
Score
M
Evaluate
Risk
N
STOP
Risk
Score
H
Internal
Credit
Analysis
L
Business process reengineering from 1 week to 30 minutes
… but the IT environment complexity may be a hurdle to business responsiveness
IT Environment
IT processes can take days (e.g. problem management, system configuration, …)
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Autonomic Computing
© 2003 IBM Corporation
As businesses adopt the on demand business model, they
increase their responsiveness to the market but place more
pressure on IT
Time
to
Respond
IT responsiveness
Business
expectation of IT
responsiveness
Evolution to on demand
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Autonomic Computing
© 2003 IBM Corporation
Autonomic computing helps companies focus less on
managing technology and more on building an on
demand business
Time
to
Respond
Business
expectation of IT
responsiveness
IT responsiveness
Evolution to on demand
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Autonomic Computing
© 2003 IBM Corporation
How can one improve the management of predictable and unpredictable events that
can impact the ability to deliver the service expected?
Economy
Merge & Acquisition
Regulation compliance Entering new markets
Business partners
External
Credit
Check
Mortgage
Application
Suppliers
Review
Application
OK?
N
STOP
Business rules
Security Mgt
user admin
Y
Internal
Credit
Analysis
H
Mortgage
Proposal
Processing
STOP
H
L
Reject
Notification
STOP
Business Environment
SLA New application Workload increase Cost reduction
Availability Mgt Change Mgt
Workload Mgt Performance Mgt
Financial
Mgt
Terrorism
Security Mgt
intrusion detection
Virus
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Autonomic Computing
Customers
Evaluate
Evaluate RiskL
Credit
M Risk
Credit
Score
Score
Score
Asset
Mgt
Earthquake
Competitive pressure
HW failure
IT Environment
Problem Mgt
Configuration Mgt
Application logic error SW upgrade
IT Mgt
Processes
New HW
© 2003 IBM Corporation
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.
External
Credit
Check
Mortgage
Application
Review
Application
OK?
N
STOP
Security Mgt
user admin
Y
Internal
Credit
Analysis
H
Mortgage
Proposal
Processing
STOP
Evaluate
Evaluate RiskL
Credit
M Risk
Credit
Score
Score
Score
Availability Mgt Change Mgt
H
L
Reject
Notification
STOP
Business Environment
Workload Mgt Performance Mgt
Asset
Mgt
Security Mgt
intrusion detection
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Autonomic Computing
Financial
Mgt
IT Environment
Problem Mgt
Configuration Mgt
ITIL based
Processes
© 2003 IBM Corporation
Focus More on your Business - Less on Managing Technology
Self-Managing Autonomic Technology is
what enables infrastructures to:
 Adapt to unpredictable conditions
 Continuously tune themselves
 Prevent and recover from failures
 Provide a safe environment
Providing customer value
 Increased return on IT
investment
 Improved resiliency and
quality of service
 Accelerated time to value
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Autonomic Computing
“IBM’s autonomic computing initiative
will become its most important crossproduct initiative (as the foundation
of On Demand Business).”
© 2003 IBM Corporation
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
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Autonomic Computing
© 2003 IBM Corporation
Co-creation and Thought leadership must occur on many
levels
Target groups
Thought
leader
Market
leader
Financial
Product
leader
CEO
Opinion leaders
National/business media
Government/NGOs
Peers
Analysts
Business Media
Topics
Market issues
Client business development
Education, work-force
Macroeconomic issues
Partnerships
Distribution, sales
Channel
Business advantages, ROI
Owners
Investors
Financial communities
Company performance
Financial information
Major news relevant to financial
community
IT-personel
Technology media
Users
Standards
Functionality, user
friendliness
New features
Burson-Martsteller 2004
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Autonomic Computing
© 2003 IBM Corporation
IBM Autonomic Computing Structure
Autonomic Computing Architecture
Define a base reference
architecture which creates a
common language and design for
autonomic computing
Products delivering
autonomic features
Deliver products with built-in
autonomic capabilities
Autonomic Computing
Common Components
Open Standards
Develop common
components that
provide for an open
framework for the
industry
Create and leverage open standards
for autonomic computing
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Autonomic Computing
© 2003 IBM Corporation
IBM Autonomic Computing Structure
 Autonomic Computing
Architecture Blueprint
 Autonomic Computing
Control Loop
Autonomic Computing Architecture
Products delivering
autonomic features
Autonomic Manager
Analyze
Monitor
Autonomic Computing
Common Components
Open Standards
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Autonomic Computing
Sense
Plan
Knowledge
Execute
Respond
WWW
© 2003 IBM Corporation
IBM Autonomic Computing Structure
Autonomic Computing Architecture
Products delivering
autonomic features
Autonomic Computing
Common Components
Open Standards
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Autonomic Computing
 Eclipse based tooling
 Common Base Event schema
 Solution installation schema
© 2003 IBM Corporation
IBM Autonomic Computing Structure
Autonomic Computing Architecture
Products delivering
autonomic features
Management Engine
Installation
Autonomic Computing
Common Components
Problem Determination
Provisioning
Workload Mgt
Admin Console
 AC Toolkit
Log/Trace Analyzer
Generic Log Adapter
Solution installation &
dependency checking
Common Console
Autonomic Management
Engine
Open Standards
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Autonomic Computing
© 2003 IBM Corporation
IBM Autonomic Computing Structure
Autonomic Computing Architecture
Products delivering
autonomic features
Autonomic Computing
Common Components
Open Standards
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Autonomic Computing
 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 Install
Singlestep
Unity AC AME
 and many more…
© 2003 IBM Corporation
Autonomic Computing Self-Healing Systems
Feedback
Adapters
Applications
Database
Call Home
Application
Server
Knowledge
Configuration
Servers
Adapters
Storage
Devices
Networks
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Autonomic Computing
Common
Base Event
Symptom
Service
Policy
Repository
© 2003 IBM Corporation
”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
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Autonomic Computing
© 2003 IBM Corporation
The evolution to Autonomic Computing
5 levels as a context to provide a roadmap to move forward today….
Autonomic
Adaptive
Predictive
Managed
Basic
Dynamic business policy-based management
System monitors, correlates and takes action
Cross-resource correlation and guidance
Centralized tools, manual actions
Manual analysis and problem solving
Levels Measured by:
Depth of implementation
Scope of implementation
Service Flows based on ITIL
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Autonomic Computing
© 2003 IBM Corporation
The evolution to Autonomic Computing
3 levels from a C-level business value context
Dynamic business policy-based management
Autonomicon
demand infrastructure mgmt
Adaptive
Predictive
Managed
Basic
System monitors, correlates and takes action
Cross-resource
correlation and guidance
Systems management
Centralized tools, manual actions
Resource
management
Manual analysis
and problem
solving
Levels Measured by:
Business Solutions
Business Benefits
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Autonomic Computing
© 2003 IBM Corporation
Federated Department Stores Leverages Latest Technology
Self-Managing Autonomic Technology enables dynamic provisioning
< CIO >
TECHNOLOGY
IT
Benefits
IT
Requirement
CIO IT
Challenges
• Dynamic computing • Optimize usage of IT
• Improved IT
capacity on-demand
resources
resource
• Meet SLAs based on • Avoid availability
utilization
impacting
• Increasing ROI on application business
priority
reconfiguration
IT investment
errors
• Increase business
application
availability and
security
Levels of AC
Enablement
BUSINESS
CIO Business
Challenges
• Handle peak
demand without
incurring cost to
build infrastructure
for seldom needed
peak conditions
Systems
Management
Business
Requirement
Business
Benefits
• Increase revenue
• Enhanced
from online
customer buying
shopping
experience
improves
• Streamline and
integrate the
customer loyalty
advertising business while increasing
process across all
sales
Federated brands
• Fix unsatisfying
• Consolidate LOBs
user experience,
on single
eroding sales and
advertising
the bottom line
application without • Contain escalating
added IT investment costs associated
with over-capacity
and underutilized
resources
Resource
Management
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Autonomic Computing
© 2003 IBM Corporation
Federated Department Stores Captures New Business Opportunity
Self-Managing Autonomic Technology enables expansion into new market opportunities
< CIO
TECHNOLOGY
IT
Benefits
IT
Requirement
CIO IT
Challenges
• Dynamic computing • Optimize usage of IT
• Improved IT
capacity on-demand
resources
resource
• Meet SLAs based on • Avoid availability
utilization
impacting
• Increasing ROI on application business
priority
reconfiguration
IT investment
errors
• Increase business
application
availability and
security
>
Levels of AC
Enablement
Business
Management
Systems
Management
Resource
Management
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Autonomic Computing
BUSINESS
CIO Business
Challenges
• Handle
additional
business
applications
rapidly and
peak demand
without
incurring
incremental
costs
Business
Benefits
Business
Requirement
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
• Enhanced
customer
buying
experience
improves
customer
loyalty while
increasing
sales
• Fix poor user
experience,
eroding sales
and profits
• Contain
escalating
costs
associated
with overcapacity and
underutilized
resources
© 2003 IBM Corporation
www.ibm.com/autonomic
End of Deck
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Autonomic Computing
© 2003 IBM Corporation
The evolution to Autonomic Computing
5 levels as a context to provide a roadmap to move forward today….
Autonomic
Adaptive
Predictive
Managed
Basic
Dynamic business policy-based management
System monitors, correlates and takes action
Cross-resource correlation and guidance
Centralized tools, manual actions
Manual analysis and problem solving
Characteristics: Multiple sources of system generated data
Skills: Requires extensive, highly skilled IT staff
Benefits:
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Autonomic Computing
© 2003 IBM Corporation
The evolution to Autonomic Computing
5 levels as a context to provide a roadmap to move forward today….
Autonomic
Adaptive
Predictive
Managed
Basic
Dynamic business policy-based management
System monitors, correlates and takes action
Cross-resource correlation and guidance
Centralized tools, manual actions
Manual analysis and problem solving
Characteristics: Consolidation of data and actions through management tools
Skills: IT staff analyzes and takes actions
Benefits: Greater system awareness,
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Autonomic Computing
improved productivity
© 2003 IBM Corporation
The evolution to Autonomic Computing
5 levels as a context to provide a roadmap to move forward today….
Autonomic
Adaptive
Predictive
Managed
Basic
Dynamic business policy-based management
System monitors, correlates and takes action
Cross-resource correlation and guidance
Centralized tools, manual actions
Manual analysis and problem solving
Characteristics: System monitors, correlates, and recommends action
Skills: IT staff approves and initiates actions
Benefits: Reduced dependency on deep skills, faster/better decision making
28
Autonomic Computing
© 2003 IBM Corporation
The evolution to Autonomic Computing
5 levels as a context to provide a roadmap to move forward today….
Autonomic
Adaptive
Predictive
Managed
Basic
Dynamic business policy-based management
System monitors, correlates and takes action
Cross-resource correlation and guidance
Centralized tools, manual actions
Manual analysis and problem solving
Characteristics: System monitors, correlates and takes action
Skills: IT staff manages performance against SLAs
Benefits: Balanced human/system interaction, IT agility and resiliency
29
Autonomic Computing
© 2003 IBM Corporation
The evolution to Autonomic Computing
5 levels as a context to provide a roadmap to move forward today….
Autonomic
Adaptive
Predictive
Managed
Basic
Dynamic business policy-based management
System monitors, correlates and takes action
Cross-resource correlation and guidance
Centralized tools, manual actions
Manual analysis and problem solving
Characteristics: Integrated components dynamically managed by business rules/policies
Skills: IT staff focuses on enabling business needs
Benefits: Business policy drives IT management,
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Autonomic Computing
business agility and resiliency
© 2003 IBM Corporation
Levels of Autonomic Computing
Regardless of where YOUR infrastructure is today, autonomic technologies
can move YOU forward.
Autonomic
Adaptive
Predictive
Managed
Basic
Dynamic business policy-based management
System monitors, correlates and takes action
Cross-resource correlation and guidance
Centralized tools, manual actions
Manual analysis and problem solving
Technology Proof of Concepts
Product Implementations
Autonomic Innovation Workshops
Autonomic Readiness Engagements
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Autonomic Computing
© 2003 IBM Corporation
Today’s IT environment is increasingly complex and costly to manage
Increased number of end-points
Mobile
Devices
Increased integration
Intranets
RFID
tags
Heterogeneous Platforms
Databases
IT Moore’s law
Networks
DMZ
Web Site
Value
Chain
Extranets
Routers
Application
Servers
Transactions
Legacy Systems and
Applications
…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…
Gartner
Large enterprises are dissatisfied with the reduction in IT operational costs and complexity that
they expected would accompany improvements in operational efficiency.
32
Autonomic Computing
© 2003 IBM Corporation
IBM Autonomic Computing Structure
Autonomic Computing Architecture
33
Autonomic Computing
 Autonomic Computing
Architecture Blueprint
 Autonomic Computing
Control Loop
© 2003 IBM Corporation
Self-Managing Autonomic Technology:
System intelligence for the on demand business
Autonomic Manager
Diagnose Symptom
Delegate
Analyze
Assess Impact
Delegate
Plan
Delegate
Sense Symptom
Delegate
Monitor
Sense
Knowledge
Execute
Plan Action
Take Action
Respond
WWW
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Autonomic Computing
© 2003 IBM Corporation