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Business Service Governance Managing from Above the Clouds Page 1 Michael Salsburg, Ph.D. Ohio CMG May 13 2010
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© 2009 Unisys Corporation. All rights reserved Business Service Governance Page 2 Application Layer ERPCRMB2BB2CAPAR A Business Service is the complete transaction path within the infrastructure that satisfies a business request through either a UI or programmable request
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© 2009 Unisys Corporation. All rights reserved Page 3 Business Service Governance Autonomics balance workloads within infrastructure Determine Policies for Services in the Catalog Observe Activity –Business Activity –Resource Activity When SLO Degrades –Determine Root Cause –Change Autonomic Rules Priority SLO Measured Service Cost to IT Charge to BU’s Service Catalog: Analytics Autonomic Response Infrastructure Alignment Business & Resource Activity
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© 2009 Unisys Corporation. All rights reserved Business Services and IT Services Business Service IT Services
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© 2009 Unisys Corporation. All rights reserved BSG Within a Datacenter Page 5 Business Service uses tiers of resources End-to-end Times are monitored by the BSG Busi ness Servi ce uses tiers of reso urce s End- to- end Time s are moni tored Workloads dynamically balanced over resources Resources re-allocated according to Business Policies and Priorities
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© 2009 Unisys Corporation. All rights reserved Three Attributes of a Cloud So – what’s the difference between a Datacenter and Cloud? –Elasticity –Utility –Ubiquity Page 6
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© 2009 Unisys Corporation. All rights reserved Hybrid Cloud Governance among multiple clouds Resources re-allocated according to Business Policies and Priorities
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© 2009 Unisys Corporation. All rights reserved Hybrid Cloud Brokerering – Transporting Workloads Transport applications and data to a cloud with sufficient resources Data synchronization Orchestration Re-purposing
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© 2009 Unisys Corporation. All rights reserved Is This Just Slideware of the Holy Grail? Page 9
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© 2009 Unisys Corporation. All rights reserved 10/1/2016Page 10 Connecting the Real-Time Infrastructure to the Business Open Virtualization Services Physical Services Business Processes Business Requirements (metrics) Application Requirements Business Performance Management KPIs SLOs Availability Resource Management and Power Control RTI Management Application Services Page 10
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© 2009 Unisys Corporation. All rights reserved RTI Architecture Components Image Management Page 11 Business Service Governance Resource Utilization Re-purposing Orchestration RTI Management
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© 2009 Unisys Corporation. All rights reserved The Engine Room Page 12 “Essentially, RTI, in one form or another, will be the "engine room" for cloud-computing providers.” — Gartner, June 2008
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© 2009 Unisys Corporation. All rights reserved The Engine Room for Enterprise Cloud Computing 13 Application Layer ERPCRMB2BB2CAPAREtc…
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© 2009 Unisys Corporation. All rights reserved Re-Purpose Virtual and Physical Servers on Demand Share infrastructure between groups, apps Setup / teardown in minutes, not days Single images move from Development to Production Release resources, archive full business systems Page 14
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© 2009 Unisys Corporation. All rights reserved Reduced server/application management complexity, risk of change, OPEX Enhanced service levels and application stability Features –Server & application provisioning, ongoing configuration change including patch management –Virtual environment management –Discovery, inventory and software asset management –Ad-hoc tasks & remote administration 80%+ reduction in time associated with routine virtual host configuration update 80%+ reduction in time associated with server/application discovery 90%+ reduction in time associated with routine configuration management Policy driven automation of server/application management in heterogeneous environments Configuration Management and Compliance
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© 2009 Unisys Corporation. All rights reserved Page 16 Orchestrate VM Requests from the Cloud
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© 2009 Unisys Corporation. All rights reserved Run Book Automation
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© 2009 Unisys Corporation. All rights reserved Service Level Management Integration with ITIL Processes Change Management Incident Management Resource & Capacity Management Financial Management Services Based on Business Policies Asset & Configuration Management Pool of Resources Servers, Storage, VMs Networks SANs
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© 2009 Unisys Corporation. All rights reserved Page 19 Business Service Governance Autonomics balance workloads within infrastructure Determine Policies for Services in the Catalog Observe Activity –Business Activity –Resource Activity When SLO Degrades –Determine Root Cause –Change Autonomic Rules Priority SLO Measured Service Cost to IT Charge to BU’s Service Catalog: Analytics Autonomic Response Infrastructure Alignment Business & Resource Activity
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© 2009 Unisys Corporation. All rights reserved Automatic Thresholding How do you avoid false positives and negatives? –Understand the history –Look for statistical anomalies –Understand the relationship of the various statistics Only generate “Qualified” alarms Necessary for an automated BSM Page 20
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© 2009 Unisys Corporation. All rights reserved Determining Root Cause Statistical Correlation Page 21 The correlation coefficient ρ X, Y between two random variables X and Y with expected values μ X and μ Y and standard deviations σ X and σ Y is defined as:random variablesexpected valuesstandard deviations where E is the expected value operator and cov means covariance. A widely used alternative notation isexpected valuecovariance We may also write Perfect correlation No correlation
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© 2009 Unisys Corporation. All rights reserved Determining Root Cause Statistical Correlation Page 22
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© 2009 Unisys Corporation. All rights reserved 10/1/2016Page 23 Conclusion Open Virtualization Services Physical Services Business Processes Business Requirements (metrics) Application Requirements Business Performance Management KPIs SLOs Availability Resource Management and Power Control RTI Management Application Services Page 23
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© 2009 Unisys Corporation. All rights reserved Questions? Page 24
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