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CA Capacity Management: End-to-end Capacity Analysis to Cost Optimize & Right-Size Your IT Environment

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In today’s world, we live in a unique period of time. In just a few short years, we’ve moved from being a web-economy to an application driven economy; we all live in an application economy. We get …

In today’s world, we live in a unique period of time. In just a few short years, we’ve moved from being a web-economy to an application driven economy; we all live in an application economy. We get our entertainment in an application economy. Everything we do is connected through mobile devices. Our daily experiences are enabled through software. This means that traditional companies are looking at the ways that software can enhance customer experience, bring product to market faster and give them a competitive advantage. Is your IT environment right-sized to deliver applications quickly and cost effectively? Learn more at http://www.ca.com/capacity?mrm=425887

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  • 1. CA Capacity Management End-to-end Capacity Analysis to Cost Optimize & Right-Size Your IT Environment
  • 2. 2 © 2014 CA. ALL RIGHTS RESERVED. Our Application Centric Economy The Need for Capacity Management The Value of CA Capacity Management Capacity Management Use Cases The Hot Points 1 2 3 4
  • 3. 3 © 2014 CA. ALL RIGHTS RESERVED. APPLICATION ECONOMY THIS IS THE AGE OF THE USERS AND IT’S ALL ABOUT THE
  • 4. 4 © 2014 CA. ALL RIGHTS RESERVED.
  • 5. 5 © 2014 CA. ALL RIGHTS RESERVED. Did You Know? 10% Is the average server utilization rate Gartner 1/3 Of VMs are unutilized in a typical data center CA Technologies sponsored survey 5-10X More planning time is required without capacity management tools Gartner 60% Increased server utilization rates can be realized with CA CA Technologies sponsored survey
  • 6. 6 © 2014 CA. ALL RIGHTS RESERVED. #1 Capacity Management is a top priority for IT decision makers in 2014 Source: Obstacles and Priorities on the Journey to the Software- Defined Data Center, EMA, January 2014 “Over the next five years, most organizations will see a significant increase in hardware (storage, servers, networks) capacity…Capacity planning based upon rigorous analysis of historical data with accurate projections of future growth should be implemented.” Source: Eight Critical Forces That Will Shape Enterprise Data Center Strategies for the Next Five Years – Gartner November 2013
  • 7. 7 © 2014 CA. ALL RIGHTS RESERVED. John McNeil Studio How do I… Increase server utilization? Predict future capacity needs across my data centers? Select & validate which apps & services to move to the cloud? Avoid over-provisioning resources as an expensive insurance policy driving higher costs? Determine optimal computing resources for app releases or upgrades?
  • 8. 8 © 2014 CA. ALL RIGHTS RESERVED. Capacity Management: A Balancing Act RISK TCO Performance/Availability Balancing performance, cost & risk Without capacity insight, IT cannot predict capacity needed to meet workload demands leading to: • Under- or over-provisioned environments • Performance degradations • Increased risk • Wasted resources • Increased costs Performance Availability RISK Cost
  • 9. 9 © 2014 CA. ALL RIGHTS RESERVED. Business Value of CA Capacity Management IMPROVE Data Center Efficiencies Maximize performance of existing infrastructure to reduce the cost and need for additional IT resources IMPROVE Capacity Planning Process Improve productivity with accurate capacity forecasts and a enterprise view of utilization. IMPROVE Migrations, Consolidations, Deployments Predict cost v. performance scenarios for consolidation, virtualization, HW upgrades & application rollouts Enabling IT to make informed business decisions to predictably, efficiently, and dependably deliver successful business outcomes
  • 10. 10 © 2014 CA. ALL RIGHTS RESERVED. What You NEED From A Capacity Management Solution MAINFRAME TO CLOUD SCALE IS TRUST BUSINESS SERVICE INTELLIGENCE AGENT-LESS PREDICTIVE RELIABILITY
  • 11. 11 © 2014 CA. ALL RIGHTS RESERVED. The Application Economy Runs On CA Capacity Management 24+ Months in advance predictive capacity plans Large US Bank 2000 Unused applications eliminated saving millions Large Telecommunications Company $2.5M HW savings with first project alone Large Food & Beverage Distributor 50% Reduction in HW costs Large Financial Firm 40,000+ Servers Under Management World’s Largest Retailer $250M Saved by deferring new DC build out Large Oil & Gas Company
  • 12. CA Capacity Management in depth
  • 13. 13 © 2014 CA. ALL RIGHTS RESERVED. CA Capacity Management Increase Efficiency, Assure Delivery and Reduce Costs with Confidence DECISION SUPPORT FOR IT INVESTMENTS Model growth Assess capacity efficiency across IT Identify utilization impact to business services PREDICTIVEANALYTICS Anticipate potential issues before they impact the customer experience Strategic Business Value
  • 14. 14 © 2014 CA. ALL RIGHTS RESERVED. How It Works CA Capacity Management Provides Prescriptive Answers Performance Data CMDB/CMS Config Data Business Growth Plans Plan for Success Assessment of Efficiency Best Actions CA Capacity Management CA Capacity Management • Cost Reductions • Test to production • Seasonal Peaks • Hardware refresh • Virtualization/Cloud initiatives • M&A • Datacenter transformation • ITIL adoption • Service Delivery
  • 15. 15 © 2014 CA. ALL RIGHTS RESERVED. CA Capacity Management is Designed to Improve Data Center Efficiencies Improve resource utilization and reduce costs  Increase Utilization of Existing Hardware — Identify areas for consolidation and cost savings — Cost vs. Performance scenarios for best need & value  Optimize Virtual Environments — Automatic placement of VMs — Distribution of workloads to VMs and hosts — Elimination of VM Sprawl  Predictive planning and performance of platform migrations — P2V, V2P, V2V, V2C, C2C  Reduces CapEx & OpEx — Hardware, software, power, space, cooling, etc.  Insight for internal/external cloud initiatives and advanced virtualization initiatives
  • 16. 16 © 2014 CA. ALL RIGHTS RESERVED. Improve Data Center Efficiencies Customer example: World’s Largest Retailer Problem Wasting 2 FTE/month collecting data Out of data center space Solution Automate capacity analysis process Identify wasted resources Balance data center resources Benefit Deferred new $140M data center Increased productivity by eliminating 900+ hours of manual data collection $250M/year OpEx savings
  • 17. 17 © 2014 CA. ALL RIGHTS RESERVED. CA Capacity Management is Designed to Improve the Capacity Planning Process Eliminate manual, error-prone efforts & improve productivity  Deliver IT Transparency to applicable stakeholders — Predict and communicate the effects of business demand on IT resources — Extend IT resource planning horizons  Manage Capacity Planning — Improve productivity — Reduce manual, error-prone efforts — Gain insight into business service capacity allocations — Capacity reporting for all business levels — Plan IT resource demands — Effectively plan to support increased demand  Manage Risk — Confidently and efficiently bring new services on-line — Account for seasonality in workloads — Effectively plan for Disaster Recovery
  • 18. 18 © 2014 CA. ALL RIGHTS RESERVED. Improve Capacity Planning Processes Customer example: Large US Bank Problem No insight into the capacity performance of infrastructure supporting critical business services No confidence from the business in IT capacity planning Solution Enterprise scalable capacity analysis Single repository for capacity planning Adopt formal capacity planning methodology Benefit Insight into optimal resource utilization Millions in cost avoidance for new HW/SW purchases IT/Business aligned – “IT now has a seat at the table”
  • 19. 19 © 2014 CA. ALL RIGHTS RESERVED. CA Capacity Management is Designed to Improve Migration and Consolidation Initiatives Predict risk, cost, performance & return  Virtualization — Predict how workloads will effect performance of IT resources consumed — Provide automatic placement of workloads to VMs and clusters for business continuity  Data Center Consolidation — Understand what resources are consumed by lines of business and how they are provisioned — Identify areas for consolidation while maintaining SLAs  Hardware Upgrades — Predict the performance of various hosting or hardware options for the application portfolio managers / lines of business.  New Application Rollouts — Determine current and projected utilization of existing infrastructure including CPUs, memory, disk and other metrics when new applications are deployed
  • 20. 20 © 2014 CA. ALL RIGHTS RESERVED. Improve Migration and Consolidation Initiatives Customer example: Large US Telecommunications Company Problem Growth & acquisition resulted in a complex infrastructure of 2000 VMs and 3400 applications. Cannot accurately plan for future IT services demand. Increase demand expected for iPhone launch Solution Identify consolidation opportunities Forecast changes required to remediate bottlenecks Ensuring adequate capacity for future business needs Benefit Supported successful iPhone launch $20M/year saved in infrastructure costs Eliminated thousands of applications & servers Eliminated need for additional data centers Doubled utilization to 60%
  • 21. 21 © 2014 CA. ALL RIGHTS RESERVED. Predictive Reliability Combine the power of CA APM/IM & Capacity Management to reliably predict capacity needs Ensure Service Delivery Control Costs Reduce Risk
  • 22. 22 © 2014 CA. ALL RIGHTS RESERVED. Predictive Reliability is Designed to Guarantee Application Deployments ‘What if’ modeling to reduce risk, ensure service delivery and control costs  Improve Application Performance and Scalability Testing ₋ Smooth transition from test to production ₋ Simplified test environments using cost effective infrastructure ₋ Reduce risks of service impact of platform, architecture or test load volumes ₋ Determine production scalability  Improve Application Development Release Cycles & Code Quality ₋ Increase time to market ₋ Improve application code quality ₋ Optimize the application lifecycle  Ensure Expected Application Performance & overall Service Delivery ₋ Prescribe optimum sizing for business services ₋ Improve end-user experience ₋ Support risk, cost and performance decision making throughout application life cycles
  • 23. 23 © 2014 CA. ALL RIGHTS RESERVED. Guarantee Application Deployments Customer example: Large Food & Beverage Distributor Problem Full testing of complex SAP system very expensive Cannot uncover potential bottlenecks Exec Request: Reduce cost & risk, improve service delivery Solution Provide warning system during design, test & production that reduces time, cost & risk with SAP performance testing Benefit $2.5M savings in HW with 1st project alone Reduces $millions in time, cost & resources needed to build/execute tests Developed Model-based Performance Testing processes
  • 24. 24 © 2014 CA. ALL RIGHTS RESERVED. Baseline infrastructure utilization Profile & correlate workload volumetrics Predictive analytics to prescribe optimum sizing Quantified risk and investment support ROI and business case Predictive Reliability How It Works
  • 25. 25 © 2014 CA. ALL RIGHTS RESERVED. Application Delivery Capacity Management Application Performance Management DevOps => [developers]:/collaborate/Operations Staff => <= /accelerate /(new applications).delivery <= There is No Ops in DevOps Without Capacity Management
  • 26. 26 © 2014 CA. ALL RIGHTS RESERVED. CA Capacity Management Quantitative Benefits 25% 20% 10X 5X +/- 3% Minimum HW/SW savings Improvement in application response times Improvement in capacity planning times ROI realized on first project alone Highly accurate projections against actuals
  • 27. 27 © 2014 CA. ALL RIGHTS RESERVED. CA Capacity Management Proof of Value (PoV)… The FREE CA Capacity Management Proof of Value package will demonstrate the key benefits of how the solution helps: • REDUCE IT spend, • IDENTIFY consolidation/virtualization opportunities and • Accurately identify and PREDICT future infrastructure needs • in half the time that a traditional PoC would take. How it works:  Provide data backup (APM, VMware only)  3 days to deliver PoV results  CA PoV results presentation  CA removes client data from PoV system “We couldn’t believe how under-utilized our virtual environment actually was. We can now have a better understanding of how to avoid overspending and reclaim infrastructure that can support our future initiatives.” – Data Center Manager, Large Managed Service Provider, March 2014
  • 28. 28 © 2014 CA. ALL RIGHTS RESERVED. White Paper: Six Critical Steps to Building a Successful Capacity Management Practice Or visit ca.com/capacity For More Information