Autonomic Computing © 2006 IBM Corporation ICAC The 3 rd IEEE International Conference on Autonomic Computing Dublin, Ireland June 2006 David Bartlett Vice President IBM Autonomic Computing

Autonomic Computing © 2006 IBM Corporation 2 Autonomic standards Common overarching architecture Common technology for end-to-end management Autonomic capabilities in IBM and industry products Enabling intelligent systems that: Adapt to unpredictable conditions Continuously tune themselves Prevent and recover from failures Provide a safe environment Empowering businesses to: Reduce downtime Increase productivity and savings Improve resiliency and agility Accelerate time to value Autonomic computing Mission: Address IT complexity in heterogeneous environments through self-managing autonomic capabilities

IBM Software Group 3 Network Experts and Tools Desktop Experts and Tools Application Experts and Tools Database Experts and Tools Server Experts and Tools Mainframe Experts and Tools Storage Experts and Tools ? ? ? ? ? ? ? Availability Management example - the problem…. Event Silos > High Cost, Manual Process, Poor availability Triage Overwhelming complexity Lack of standards and unifying architecture Inability to triage complex, multi-tier operating environments

© Copyright IBM Corporation 2006 Europe May 2-5, 2006 Madrid, Spain 4 OperationsDevelopment Feedback Common Base Event WEF Symptom Catalog Application server Servers Storage devices Database Networks Applications Data Adapters Knowledge based decision Proprietary Event Format Call Home CMDB Policy Repository Policies Common Event Infrastructure Standardized Event Format Self-Healing architecture and standards

Autonomic Computing © 2006 IBM Corporation 5 Simplifying the rule with Standards Web Services Distributed Management ( WSDM) A Web services standard that lets you plug any resource into any management applications: –Enabling seamless management of HW/SW resources in heterogeneous environment (through common language) –Providing a scalable, common approach for management of existing systems and SOA-based systems 30+ IBM products and 50+ Business Partner products that support our initial implementation of the WSDM event format

Autonomic Computing © 2006 IBM Corporation 6 Customers around the world see the value… Days to <1 hour 50% improvement 90% improvement 20–30% improvement 10–20% improvement 70% improvement 85% improvement 60% improvement From 3 people for 2 hours to 1 person for 15 minutes improvement in Software Delivery & Fulfillment 10–30% savings in IT support costs 40% improvement 30% time savings 50% gain in productivity 95% reduction in problem identification/resolution time Paris Tokyo Belgium

Autonomic Computing © 2006 IBM Corporation 7 An evolutionary approach RESOURCE MANAGEMENT Optimise resource availability Maintain resource-specific information Analyse historical and real-time resource data INFRASTRUCTURE MANAGEMENT Optimise application performance Rapidly isolate and diagnose application performance issues Automate tasks for maintaining application service levels Optimise availability and performance of IT and business services Interconnect IT domains with dynamic role-based work environments Automate and integrate key IT processes IT SERVICE MANAGEMENT Business environment TRADITIONAL ON DEMAND BUSINESS Levels of IT process automation BASICMANAGEDPREDICTIVEADAPTIVEAUTONOMIC

Autonomic Computing © 2006 IBM Corporation 8 Technology Process People Information IT Service Management Processes Information People End to End process monitoring provides aggregated view of business Standards based reusable process models for investment protection Easily customizable to fit into customer organization Defined roles based on ITSM process Identify bottlenecks as processes execute Monitor and dynamically adjust actual work Both consolidated and federated data integration Data model designed for exploitation Shared across management tools Technology Standards based APIs interface to applications Automate tasks all the way down to the execution layer Collect data and integrate into the workflow Availability Management Change Management Security Management Service Level Management Information Lifecycle Management Release Management Mainframe experts and Tools Application Experts and Tools Database Experts and Tools Network Experts and Tools Mainframe Experts and Tools Desktop Experts and Tools Server Experts and Tools Storage Experts and Tools Effective and efficient delivery of IT services in support of business goals Requirements for an ITSM Platform Self-managing autonomic technologies are a key ingredient for effective IT Service Management Eg. Autonomic Problem Management technologies Significantly reduces time to identify root cause of problems leveraging: Log Trace Analyzer End-to-end correlation and graphical viewer Symptom data base capability Automation of problem resolution Dozens of referenceable implementations Autonomic standards that enable interoperability Web Services Distributed Management ( WSDM) Enabling seamless management of HW/SW resources in heterogeneous environment (through common language) Providing a scalable, common approach for mgmt of IT infrastructure and SOA-based systems AC - a key driver of advanced technologies and standards AC Technology & Standards

© 2006 IBM Corporation 9 Levels of autonomic maturity as a base model in an Autonomic Readiness Engagement Level 2Level 3Level 4Level 5Level 1 Basic Managed Predictive Adaptive Autonomic Manual analysis and problem solving Centralized tools, manual actions Cross-resource correlation and guidance System monitors, correlates and takes action Dynamic business policy based management Evolution not revolution IBMs autonomic computing initiative will become its most important cross-product initiative (as the foundation of on demand). Thomas Bittman

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