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Www.uptimesoftware.com Performance, Capacity and Management Peter Dyer – Product Manager PLANNING FOR CONVERGED INFRASTRUCTURE.

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Presentation on theme: "Www.uptimesoftware.com Performance, Capacity and Management Peter Dyer – Product Manager PLANNING FOR CONVERGED INFRASTRUCTURE."— Presentation transcript:

1 Performance, Capacity and Management Peter Dyer – Product Manager PLANNING FOR CONVERGED INFRASTRUCTURE

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 Integrated Systems Fabic Based (Hyperconverged) Two approaches (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 –Existing technology –Reference architecture –Pre-configured –Tested Fabric-based –New technology –Existing parts

11 The History of Fabric-based Converged Infrastructure Google

12 Key use cases Private cloud Virtual desktops Applications –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 –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 –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 cloudSoftware-defined data center

17 Not isolated Converged infrastructure Private cloudSoftware-defined data center

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

25 …along comes SAN Application

26 …then comes virtualization Application VM Hypervisor VM

27 …software-defined data center Application VM HypervisorSDS SDN VM

28 …Public Cloud Application VM HypervisorSDS SDN VM

29 …monitoring Application VM HypervisorSDS SDN VM

30 The New Way Tradeoff Good –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 cloudSoftware-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 cloudSoftware-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 Map DashboardTopology Dashboard Capacity Dashboard Global ScanResource Scan Thank you.


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