Virtualization + Automation = Dynamic Data Center

1. Virtualization + Automation =Dynamic Data Center Kevin O’Hear September 14, 2014

2. Before we start…what does Virtual mean? According to American Heritage Dictionary: Existing or resulting in essence or effect though not in actual fact, form, orname • Virtual Memory (caching, RAM, etc.) • Virtual Networks (LAN/WAN) • Virtual Private Networks (VPN) • Virtual Processors (Grid) • Virtual Storage • Virtual IP Addresses (VIPs) • Virtual Machines (VMM’s) • So “Virtualization” is definitely gaining momentum, so how can you be prepared to leverage these different areas?

3. Virtualization Solutions Server Consolidation and Containment – Control server sprawl by aggregating systems onto guest VMs that can run safely and move transparently between fewer servers Business Continuity – Enable increased uptime and availability by virtualizing existing application and operating system environments and re-deploying them across servers Development and Test – Create safely tested and provisioned applications for development and test servers and deploy and re-deploy them with higher confidence

4. Extend Virtualization’s Benefit Beyond Consolidation Today: • VMs De-Couple Services via Containers…. Benefit: • Service Portability,Simplify Consolidation Future Abstraction: • Extend this analogy to ALL services, regardless of a Virtualization Layer • What could be possible?

5. 94% available market Virtualization Wave is Just Beginning • Only 6% of x86 servershave been virtualized (TWP virtualization study, 2/06) • 8M x86 servers will ship in 2007 (Source: IDC)

6. ITUtility Automated Virtualized • Value: • TCO life-cycle savings • Business agility • Isolates supply • from demand • Utility metering • and pricing StaticIT • Value: • OpEx savings • HA • Value: • CapEx savings Data Center Vision: The Value Roadmap Scale-out Hardware Proliferation Mainframe Software Proliferation SOA( 000’s + ) Monoliths( 1’s-10’s )

7. Data Center Vision: The Bigger Picture Utility Model Provides Reduced Costs, Increased Agility Capital Efficiency • HW utilization as low as 5%-15% Operational Efficiency • Management costs approaching ~50% of OpEx $ • Complexity is growing ~ (Apps)*(VMs)*(Boxes)*(OSs)*(consoles) Service Continuity • Primary-to-failover HW ratios as low as 1:1 • Priority based service continuity Business Agility • Policy based service delivery automation Cost Allocation/Accuracy • $ allocated per-box, per stack (rather than $ Per-service)

8. Virtualization Control Goal-driven Automation Cassatt Collage: Toward Utility Computing Today Service Level Automation Service Level Automation: Deliver dynamic, policy-based application workflow at required service levels.

9. Rules, priorities, schedules, policies • Application QoS goals • Inventory of HW, SW, Licenses, etc. • QoS/SLAs • Server utilization • Available CPUs, VMs • Server Loads Measure Analyze Respond • Move/migrate Apps, VMs, App Servers • Start-up/shut-down physical servers & VMs • Provision physical HW • Scale-in or scale-out Apps • Re-deploy resources & networking Service-Level Automation:How it works Automating the cycle of operations!

10. Service-Level Automation: What Collage Delivers The basis of computing as a utility Meter The Goal of Service Level Automation: Deliver the guaranteed quantity and quality of application service flow as efficiently and cost effectively as possible limited only by total capacity available

11. WAM NVS XVM Collage App. Server Automation VMMAutomation Network Automation Service Level Automation Platform PhysicalAutomation Implementing The Supply – Demand Utility Supply TBA Demand Other Data Center Services (i.e. patching) Policies & Priorities Known or Scheduled Events SLAs Unknown/ Unplanned Events Service Demands

12. Core Components ofService-Level Automation • Decouple Resources from Services Fundamental basis of policy-driven utility computing • Optimize business agility & leverage competitive economics • Goal-Driven Automation Rules-based engine manages/optimizes service levels • Focus on output, not internal nuts & bolts • Leverage Virtualization as an enabler Automate virtual, physical, in identical manner • Virtualization yields additional server mobility • Cross-Platform, Vendor-Neutral HW, O/S and VM independent; agentless • Investment preservation avoids lock-in

13. The Result: A New Model for Managing the Data Center • Automate deployment: self-configuring • Eliminate server failover vulnerability: self-healing • Respond to business policy: self-optimizing • Control management complexity • Extend to include all applications

14. Virtualization Goal-driven Automation Service Level Automation About Cassatt Collage “Service-Level Automation” • Decouples operating systems and apps from hardware (Windows, Linux and Solaris);leverages VMs for scale-in • Automatically assign servers to applications based on service level agreements (e.g. priority, load, schedule) • Manages server images across diverse Hardware, Software & OS systems • Optimizes loads & configurations based on pre-defined measures, rules and goals

15. Cassatt & Virtualization: • Virtualization Benefits • Critical to server consolidation; clear CapEx ROI • Hardware/software decoupling increases flexibility • Relieves driver woes • Virtualization Paves Road for Increased Value • Automated load management of VMs • Automated provisioning/distribution of VMs, P-to-V • Ability to Scale-Out as well as Scale-In • Ability to re-initiate VM instances if HW fails • Not all issues are solved with Virtualization… • i.e. Management of physical and scale-out architectures

16. Operating System App App JVM JVM Cassatt Collage: De-Coupling Services from Containers Hardware Hardware Hardware Operating System VMM App App Application OS OS Network

17. Experts Agree: Automate but with an Eye To “Utility” • “…The focus continues on reducing infrastructure and operation costs, especially given the fact that they are oftenabout 70% of the IT budget. Cost reductions are oftengained through infrastructure consolidation and through automation… “ ~ Gartner, “Poll shows 73% of Attendees at 2005 Conference see RTI as imperative • “The Labor costs associated with managing all these [virtual] configurations will drive firms toward other key organic IT technology, data center automation” ~ Forrester, “Server virtualization goes mainstream”, 2/22/06 • “The benefits of an IT Utility are clear... in the form of higher resource utilization, reduced operations and systems management staff, and overall reduced IT infrastructure costs… . the benefits to the business – increased agility and flexibility, can be of greater value...”~ Saugatuck Research, “Utility Computing: The Journey is underway” Preliminary Findings and Conclusions

18. Joint Value:Virtualization + Automation

19. Overview: Value Extensions to VMware Where you do not want to virtualize certain apps… • Collage Extends Automation into non-virtualized scenarios • Collage automates SLAs for Virtual & physical applications from the same console Where you need to scale-out (e.g. Oracle RAC, SAP)… • Collage Extends Automation into Dynamic Scale-In/Scale-Out scenarios • Collage can dynamically scale 1-VM instance to many-VM instance • Does not require existing idle ESX hosts to be available in advance Where you employ large instances of Application Servers • Extends Automation & Control to App Servers • Automates J2EE App Servers from same console as VM automation • WebLogic, WebSphere, .NET, Oracle IAS… When you expect to encounter/trial 3rd-party VMs… • Collage Extends VM Automation & Control • Collage controls VMMs from VMware, Xen, Microsoft from a single console; should you have a mixed environment today/tomorrow

20. Accelerating Provisioning &Deployment of VMs • Faster VMware Project Deployment: Collage Dynamically provisions VMware ESX itself • Will accelerate deployments via automated provisioning across diverse environments • Faster deployments means ROI sooner • VMware Enterprise Deployment:Faster Initial Deployment helps speed virtualization from Test/QA into production • Illustrate lower-risk and higher-velocity deployment of VM infrastructure; compress enterprise-wide schedule for full VM use

21. Accelerating the Value of Virtualization + Automation Conceptual Project Lifecycle Repeat for each deployment Goal:Virtualization& Svc-LevelAutomation Accelerate VirtualizationDeployment AutomateVirtualEnvironment Automate PhysicalEnvironment IntroduceVirtualization

22. Unique Collage Extensions to VMware Value, Use Cases VMware DRS: Collage extends DRS value proposition to all classes of applications • Collages dynamically scales-out applications (i.e. DB’s, ERP, Web App Servers) which require one or more full servers • Collage dynamically scales from 0 to 1-VM to many-VM instances • Collage manages scale-out and scale-in dynamic profiling. VMware HA: Collage extends the HA value proposition regarding availability, and/or catastrophic HW failure • Collage can re-start VM instances on existing, or entirely new HW(and does not require idle ESX hosts to be available prior to failover) • Collage can perform “policy based” failover and disaster recovery across all applications (Physical and Virtual)

23. Unique Collage Extensions to VMware Value, Use Cases • Collage Automates management of virtual and physical using the same techniques • Manage “mixed” applications (OS’s, App Servers, VMMs, JVMs) across tiers • Policy-based automation of service level agreements • Allows a single image to be used on both physical and “virtual” mixed profile of hardware configurations • Collage Automates P-to-V, V-to-P • Collage automates conversion from physical-to-virtual and virtual-to-physical; ideal when application performance, VM licenses, etc. are factors • Extends VMware’s core Hardware/Power ROI • Collage will physically power unused servers down • Policy based power management enables dramatic savings

24. Unique Collage Extensions to VMware Value, Use Cases Collage Extends Service Automation Rules, Goals • Collage focuses on optimizing Service-Levels, not just on CPU capacity/usage • Collage’s extensible policy-based automation engine • Integrates with external management and profiling tools Cassatt Provides One Datacenter View/Console • Generates a holistic view of the data center, & controls the physical, hardware, and software stacks -- not just VM instances • View, manage, automate “mixed” services across heterogeneous VMs, app servers, physical instances, and hardware platforms • Automates management of virtual + physical w/same rules, goals, techniques

25. J2EEAppServer Control Where virtualization isnon-optimal Physical Instance Control Apps which must remain physical Add’l 3rd-Party VM Control Also requiringmanagement ScaleIn/Out Control i.e. Oracle RAC, with<1 to >>1 CPUs UtilityComputing SLA guarantees,metered usage Where Automating De-Coupled Services Reduces Costs: VM Automationi.e. consolidation Global HAAcross VirtualAND Physical

26. Additional Agility • Cassatt adds PlateSpin as virtualization partner • Cassatt bundles two PlateSpin products – PowerRecon and PowerConvert – with professional services • PlateSpin will be providing support directly to Cassatt customers.

27. Collage: Relevance, Value to IT

28. Ken Westlinken.westlin@cassatt.comKevin O’Hearkevin.ohear@cassatt.com