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
Google

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)
Application

25. …along comes SAN
Application

26. …then comes virtualizationVM 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