Presentation Transcript

1. Analytics: Optimizing the Data CenterContinuously operate at the intersection of Business Performance and IT Efficiency

   John MiecielicaDirector Product Management TeamQuest
2. Presentation Agenda Analytics and Optimization challenges Desired state and results Approach:Automated & Predictive IT Analytics
3. Pop quiz:What is the businessmore worried about? Adjusting to what we know is changing in our market Adjusting to what wedon’t know
4. True business visibilityis limited What they know: Sales growth Seasonality Customer feedback What they don’t: How well services are performing Why customer experiences are poor What IT knows
5. Business decisionstodayarebased on a pea 0,52cm3
6. Whenthisisavailabletomakebetterbusinessdecisions 1x1012 km3
7. Intelligence—not data—will be the difference between success and failure. $600B 1.2 yrs 2.7 Zettabytes Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012
8. We don’t leverage IT data because . . . It’s a mess Isn’t standardized Value isn’t intrinsically measurable Systems can’t talk to each other Isn’t easily presented & understood
9. The business values analytics… 19% 40% Improve the use of data analytics to improve business decision making
10. Healthcare Provider: Unified Analysis & Reporting Unified data across hundreds of IT systems to improve hospital process efficiency & patient care
11. Optimization Challenges Traditional metrics & analysis vs. “Sabermetrics” Resource Utilization versus Work Efficiency and Cost Availability versus Work Accomplished Technology Metrics versus Application, Service and Workloads “Measure and Analyze what Matters!” Democratization of Information Software Defined Data Centers: Big Data, Cloud, Virtualization, Dynamism, etc… Spanning ALL silos: Technology, Business, Financial, etc… Ruthless Drive for Efficiency If you don’t do it, you’ll be “done” by others who do!
12. Optimization Challenges Inclusion of legacy or non-virtualized hardware resources? Interoperability of multiple vendors’ converged infrastructure systems? Management remains a mystery Lack of real time data Lack of global optimization strategies
13. Cloud, Virtualization and SDDC -> Changing Demands on Enterprise IT SDDC Asset Management Smart Devices Virtualized Storage Virtualized Servers Virtualized NW VDI Etc…. Customer Call Center Operations POS Optimization Demand Response Campaign Management Credit & Collections Billing Etc…. Business Services/Applications
14. Increasing Planning and Optimization Challenges SDDC Asset Management Smart Devices Virtualized Storage Virtualized Servers Virtualized NW VDI Etc…. Customer Call Center Operations POS Optimization Demand Response Campaign Management Credit & Collections Billing Etc…. Business Services/Applications
15. Management is WAY more than monitoring SDDC management will place a premium on new management models Real time data collections Embedded Analytics Ability to span multiple data source domains intelligently Analytics will have different goals – efficiency, cost, root cause analysis Goals include workload-centric optimization, global cost and energy efficiency, global availability … very tough challenges for traditional management vendors Source: Forrester Research, September 2013
16. IT doesn’t analyze business data because… Existing tools don’t accept it ETL into acceptable format(s) is a lot of work, cost Manual efforts cannot scale Don’t adapt to dynamic, virtual everything realities IT has no expertise in business data It isn’t easily presented or understood We’ve never had the time to deal with it What can we really DO with it? Where do we start? What is the value?
17. Negative consequences of the current state Lack of understanding of relationship of dynamic technology to services Over and under provisioning – High Costs Service risks Market risks Too many disparate tools and processes Expensive and in silos Error prone impacting service delivery Vendor dependence and “lock in” High costs Reduced agility
18. Desired state: Continuous Optimization Continuously financially optimized IT environment Always know where and when performance problems will affect the bottom line Identify cost and performance inefficiencies in support of business processes and eliminate them Continuously optimized customer experience Understand when, where and why customer experiences fail Resolve, predict and prevent customer dissatisfaction issues
19. Desired State: Answer the Questions! “What is the health of the infrastructure?” “What were the exceptions? Do we Care?” “What’s the risk assessment?” “What’s the capacity forecast? What should/will it cost?” “How efficiently are we using the infrastructure? What does it cost?” “Changes compared to the last reporting period?” “How many of those do we have? Need? When?”
20. Result:Continuous IT Optimization Significantly Reduce initial CapEx, and ongoing OpEx Make, and keep making, more money! Optimize resources for systems of customer engagement Deploy and refresh new applications faster E.g Retailers need to capture their share of mobile commerce as it grows from $6 to $31b (2016) Respond faster to business spikes Prevent business impacting outages and slowdowns
21. Method: Continuously Automated &Aligned Analytics Merge Business &IT Processes and Toolsto Achieve Alignment IT Technology data into Business Analytics Business data into IT Analytics Ruthless Drive for Efficiency Use Analytics Use Automation Adopt ever-increasing proactivity Continuous Optimization = Alignment + Analytics + Proactivity
22. Methodology:Aligned Business and IT Analytics Big Data Collection Enterprise IT Optimization Correlate business & IT performance Insight into how business process changes impact IT Understand and optimize IT costs by business unit/process and technology Insight into business performance across technology stack Underlying IT Infrastructure Outage Management Customer Operations Distribution Automation Asset Management Services Applications Server/OS Network Storage Business Intelligence Aligned Business and IT Intelligence
23. Federated IT Analytics Federates existing data into purpose-designed optimization process Technology data (e.g. server, network, storage, etc.) Service data (catalog, metrics, tickets, etc.) Financial data Business data (Analytics, KPIs, plans, TXNs, etc.) Automates analytics across all data sources Flexible and adaptive to dynamic SDDC environments Raw (commodity) data -> actionable information for IT Single-pane-of-glass IT Optimization
24. Automated, Aligned IT Analytics Analyze - optimize decision making Integrate - with the business Automate – drive efficiency & repeatability
25. Result: Automated Financial Optimization Continuous Optimization Pre-purchase validation Re-purposing Consolidation Fully Automated, low cost Integrate with Risk and Service Management Changed new VMwareClusters from every 6 weeks to: None for 18+ months… Consolidated 1000’s ofVM’s (Saving $M)
26. Result: Automated Financial Optimization
27. Result: Automated Financial Optimization
28. Result: IT Power Capacity Optimization Proactive Power Optimization Actual versus DC Limits Power by Application/Service Project Savings via optimization efforts Data Sources Server/Virtual Server performance Power Consumption from DCIM power management Service Catalog and CMDB Asset Database
29. An Optimized Data Center… Uses modern, appropriate metrics Utilizations don’t cut it anymore Sabermetrics for IT! Democratizes ALL your information Leverage both Federation and Centralization Fully-aligned Business, Service and IT Performance Ruthlessly (and continuously) drives for efficiency Performance/throughput (business) Capacity Cost
30. Summary and Recommended Steps Inventory IT processes and ALL your tools Data collection? Data storage? Capacity Analysis/Reporting? Inventory your business KPIs, factor your BI analytic initiatives Identify “low hanging fruit” By Service? By BU? By Platform? By Technology/silo? Get started bringing it together, don’t wait
31. TeamQuest: Insight Automated. Optimization Achieved “I know the performance and costs of my infrastructure!” “I understand the exceptions and their importance!” “I know what my risks to performance are and will be!” “I know how efficient my IT environment is and can beand what it will cost” “I have a Capacity and Financial Plan!” “I know what has changed and why from the last period!” “I know what we have, what we need, and when we need it!”