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Planning for Converged Infrastructure

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Presentation on theme: "Planning for Converged Infrastructure"— Presentation transcript:

1 Planning for Converged Infrastructure
Performance, Capacity and Management Peter Dyer – Product Manager

2 Why am I here? Alex couldn’t be here
Building software for the datacenter for more than 15 years Focused on virtualization for the past 8 years Worked on a tool called PlateSpin Recon – one of the first virtualization consolidation/capacity planning tools Working with up.time customers to define the future of our product, including addressing management and capacity planning challenges in the modern datacenter

3 Definition – Converged Infrastructure
Grouping of multiple components: server (compute), storage, networking and management software in a single, optimized computing package + + = or

4 Fabic Based (Hyperconverged)
Two approaches Integrated Systems Fabic Based (Hyperconverged) (older, scale up) (newer, scale out)

5 Subcategories (Gartner) – Integrated Systems (Converged Infrastructure)
Integrated stack systems (ISS) – server, storage and network with application software Simplified: really big server (one application) Integrated infrastructure systems (IIS) – server, storage and network to provide compute infrastructure Simplified: private cloud Fabric-based computing (FBC) – server, storage and network together in an integrated system designed to be building blocks Simplified: private cloud building blocks

6 Integrated stack systems (ISS)
Examples: Oracle Exadata, IBM PureApplication, Teradata

7 Integrated infrastructure systems (IIS)
Examples: VCE Vblock (VMware, Cisco, EMC), HP ConvergedSystem, IBM PureFlex, Cisco-NetApp FlexPod

8 Fabric-based computing (FBC) / Hyperconverged Infrastructure
Examples: SimpliVity, Nutanix, HP Moonshot

9 Demand and Supply Integrated Systems Fabric-based

10 Under the covers Integrated systems Fabric-based Existing technology
Reference architecture Pre-configured Tested Fabric-based New technology Existing parts

11 The History of Fabric-based Converged Infrastructure

12 Key use cases Private cloud Virtual desktops Applications Greenfield
Traditional data driven: Oracle, SAP, etc Big data: Hadoop, etc Greenfield

13 Business Drivers Improved performance Lower operating costs
Simplified support Faster deployment Simplified sourcing

14 Market Gartner estimates MarketsandMarkets
Converged infrastructure (Integrated systems) 2014: $6B 2014: 50% growth rate Total hardware market: $80B MarketsandMarkets Converged Infrastructure $33.89B by 2019

15 Systems Management Good news Bad news Workloads are not changing
Operating systems and applications just see (virtual) hardware Hypervisor is not changing But there are more (new) parts Bad news Hardware is changing, and access to physical hardware is changing

16 Not isolated Converged infrastructure Private cloud Software-defined
data center

17 Not isolated Converged infrastructure Private cloud Software-defined
data center

18 Software-Defined Data Center
Storage Networking VMware vSANs vVols Microsoft Storage spaces EMC ScaleIO VMware NSX Microsoft Hyper-V Network Virtualization (HNV) Cisco Extensible Network Controller (XNC) VMware EVO (Rail & Rack)

19 Software-Defined Storage (SDS)
Pool of disks treated as one disk resource Local disk VMware vSAN Microsoft Storage Spaces Fabric-based (Hyperconverged) solutions External disk (NAS, JBOD, etc) VMware vVols Goals Lower costs Easier to scale Easy management (eliminates hardware RAID and proprietary SAN operating systems)

20 Storage is evolving (sort of)
Capacity is ever increasing, IOPS sort of IOPS is king (or at least very important) Mixing of different types of storage – fast tier Dynamic tiering Caching Replication Data protection

21 Software-Defined Networking (SDN)
Moving switch management from the physical port to software that follows the VM (workload) Goals Lower costs Easy management Better security (egg)

22 The Software-Defined Challenge
Who knows the truth It used to be the operating system – it isn’t any more

23 The Old Days Application

24 The Old Days (monitored)

25 …along comes SAN Application

26 …then comes virtualization
VM VM VM VM VM Application Hypervisor

27 …software-defined data center
SDN VM VM VM VM VM Application Hypervisor SDS

28 …Public Cloud SDN VM VM VM VM VM VM Application Hypervisor SDS

29 …monitoring SDN VM VM VM VM VM VM Application Hypervisor SDS

30 The New Way Tradeoff Good Bad
Time to provision new systems (agility) – decreased dramatically Cost per system – decreased dramatically Bad Cost to manage new systems – increased dramatically Number of systems – increased dramatically

31 Not isolated Converged infrastructure Private cloud Software-defined
data center

32 Private Cloud Defined Shared pool of computing resources inside a corporate firewall Characteristics Easy, fast provisioning / access to resources Used by many departments / groups Used for a wide variety of use cases Buzz words: agile, automated

33 Cloud Capacity Challenge
Are people using the resources they have requested? Generally, no they are not

34 Strategies to address challenge
Show costs upfront at time of provisioned Chargeback Show-back Shame-back Lease only (must be renewed) Overprovision

35 Not isolated Converged infrastructure Private cloud Software-defined
data center

36 Capacity Planning Challenge
Limited ability to isolate capacity and performance to discrete elements CPU, memory, disk (fast and slow) purchased together

37 vBlock example (small and simple)

38 Related challenge Fast and slow disk

39 vBlock example (small and simple)

40 Nutanix

41 Simplivity Omnicube

42 Wrap Up

43 Questions What type of converged infrastructure is being deployed?
What is it being used for? How easy is it to add capacity? How much capacity must be purchased? How much lead time is required? Can capacity be optimized across compute and storage? What is the maximum workload size that needs to be supported?

44 Takeaways Converged Infrastructure doesn’t exist in isolation –
Software-defined data center Use case (ie Private Cloud, VDI, etc) Software-defined data center introduces “source of truth” management challenge Private Cloud introduces capacity challenges Converged Infrastructure introduces capacity challenges

45 Thank you. Map Dashboard Capacity Dashboard Topology Dashboard
Global Scan Resource Scan

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