1. Disruptive innovations: How storage is changing in the enterprise Scott H. Davis CTO, Infinio

2. Welcome! Scott H. Davis: CTO, Infinio 25+ year IT veteran Former VMware EUC CTO & Chief Data Center/Storage Architect Founder, President, CTO of Virtual Iron 16 Patents for Virtualization, Storage, Clustering, and EUC technologies www.TalkingTechwithSHD.comwww.TalkingTechwithSHD.com @shd_9

3. Agenda Storage overview Technology disruptions Storage landscape All-flash arrays Hybrid arrays Hyper-converged infrastructure/SDS Decoupled infrastructure (capacity and performance) Infinio’s storage acceleration platform 3

4. 4 Storage circa 2004 Traditional Storage Array Innovation: Unified block and file Storage tiering

5. Decoupled Infrastructure All-flash arrays Hyper-converged (Software-defined) Storage in 2015 VM Hypervisor Server SSDs Controller software VM Hypervisor Server SSDs HDDs Controller VM/software HDDs Hybrid arrays VM Hypervisor Server HDDs Write log / Read cache Disk pool Controller software SSDs I/O Optimization Storage-side processing Server-side processing

6. Technology Disruptions 6

7. Disruption: Desktop Virtualization Extreme workload consolidation necessary for economics to work More workloads on fewer drives Workload mobility Blender effect, mix of read/write ratios Impact of client OS-specific caching Impact of synchronized peaks (e.g., boot storms, login storms, virus scans) 7

8. Disruption: Hardware advances IOPS Latency DRAM Networking Flash Hard drive

9. The complexities of flash 9 Reads vs writes Write amplification Garbage collection Endurance / wear-out Consumer grade vs. Enterprise Traditional RAID / Filesystem applicability Tiering with storage system

10. Disruption: Hardware advances for performance Memory channel storage e.g., NVDIMM Speed comparison Non-volatile characteristics of classic flash Interface challenge for OS/Hypervisor NVMe e.g., PCI-e solid state drive replaces the AHCI stack – 1/3 CPU utilization Memory5 μsec PCI-e50 μsec SAS SSD300 μsec DRAM Networking Flash Hard drive IOPS Latency

11. Disruption: Hardware advances for capacity Capacity-optimized drives “Shingled Magnetic Recording” (SMR) e.g., Seagate’s 8TB SMR drive at $.03/GB (1/500 th that of flash!) Non-symmetric read/write characteristics Cloud Network speeds making it possible Can be as inexpensive as $.03/GB/month DRAM Networking Flash Hard drive IOPS Latency

12. Disruption: Hardware advances in networking Networking speeds continue to improve – 10GbE typical; 40GbE and 100GbE coming soon Inter-node communication clocked at 50 μsec, including TCP/IP stack More predictable speed than flash Enables scale-out storage architectures 12 DRAM Networking Flash Hard drive IOPS Latency

13. Disruption: Scale-out application architecture Scarcity vs. Abundance Consequences: Object storage Replicas instead of updating in place Minimized synchronization I/O performance should scale out with the application 13 Node A Node BNode C Scale-out

14. The storage landscape 14

15. Decoupled architecture All-flash arrays Hyper-converged (Software-defined) Storage in 2015 VM Hypervisor Server SSDs Controller software VM Hypervisor Server SSDs HDDs Controller VM/software HDDs Hybrid arrays VM Hypervisor Server HDDs Write log / Read cache Disk pool Controller software SSDs I/O Optimization Storage-side processing Server-side processing

16. All-flash arrays Storage in 2015: All-flash arrays VM Hypervisor Server SSDs Controller software “Porsche” of storage array performance Consistently high performance for all connected applications Comes at a steep price premium All drives are flash, plus the proprietary upcharge: Dell server SSD = $3K EMC storage SSD = $15K

17. Storage in 2015: Hybrid arrays Better price/performance calculation than all-flash Most market share is from existing vendors; the next “status quo” ? Buyer Beware: SSDs as a tier in legacy arrays vs. purpose-built hybrid array (handling of flash & architecture of write log/read cache) Hybrid arrays VM Hypervisor Server HDDs Write log / Read cache Disk pool Controller software SSDs

18. Hyper-converged (Software-defined) Storage in 2015: Hyper-converged VM Hypervisor Server SSDs HDDs Controller VM/software Integrated building block for an entirely new datacenter architecture Commitment to scale everything together Inefficient with storage space because of data protection schemes More appropriate for greenfield (new) deployments because of new mgmt tools and processes Typical in ROBO and SMB

19. Decoupled Architecture Storage in 2015: Decoupled Architecture HDDs I/O Optimization Splits storage into capacity layer and performance layer Performance layer benefits from: Hyper-locality μsec vs. msec Commodity pricing Dell Server SSD = $3K EMC Storage SSD = $15K Capacity layer can be any storage platform – keep existing tools and reporting

20. Infinio’s storage acceleration platform 20

21. Infinio’s storage acceleration platform Globally deduplicated Operationally transparent Simple to evaluate, implement, and use Software-based performance layer; optimized for RAM “We noticed the results almost instantly, with a visible reduction of storage latency on the VDI desktops and decreased workload on our filers.” --Nathan Manzi, Systems Engineer at Minara Resources

22. Infinio architecture 1 Accelerator VM and 8GB RAM per ESX host 1 Console VM per vCenter Communication runs over the vMotion network One solution for virtual servers and virtual desktops No changes to guest VMs “By better utilizing the existing infrastructure, I/O optimization can improve performance, and help control costs.” –Gartner Hype Cycle 2014 LAYER FOR STORAGE ACCELERATION Kernel module

23. Infinio’s content-based architecture Deduplicated : Inline deduplication across VMs and hosts Global : All nodes share a single address space 1A23 GH56 7P89 2QQ3 5L56 72JK 101H G4K1 11H4 1DS4 54MW 7M62 6BE4 2NN5 3E5T SA93 S9H4 3A38 Using a 5:1 dedupe rate, an 8-node Infinio cluster starts with an effective size of 320GB and can grow much larger.

24. Infinio’s distributed cache architecture 24 Node A A-D Global D-C Node A Node B Node C Node B A-D Node C A-D A 1-33 B 34-66 C 67-99 A 1-33 B 34-66 C 67-99 A 1-33 B 34-66 C 67-99

25. Infinio’s global deduplication in action General Enterprise mix Common applications  OS files Application data  Boot images

26. Infinio’s global deduplication in action DevOps Source code for slightly different versions Test automation on the same code Exemplar data VDI Gold images Common application executables Common user files Customer National Specialty Alloys saw sustained offload rates of 61% A large consumer goods company saw build time drop from 2 hours to 15 minutes

27. Operational transparency ESXi VM Datastore configuration Snapshots and replication Backup scripts Patching vMotion DRS Maint Mode Infinio ESXi "Installing Infinio was fast and easy. You install it live, and you can start or stop accelerating without affecting production. There’s no rebooting either." --Doug Soltesz, Vice President and CIO - Budd Van Lines This slide is animated

28. Simple to evaluate, deploy, and manage Accelerate a new datastore Install to results in 30 minutes Change the cache size

29. What’s new in Infinio version 2 Extension of award-winning storage acceleration platform into SAN environments to support Fibre Channel and iSCSI. VM-level statistics for a granular view into performance; choose specific applications to accelerate* Continued operational transparency, with no changes to storage tools, backup or reporting scripts; complete integration with VMware VAAI Easily see performance improvements for up to two weeks of history Note the benefit of deduplication with effective cache size *v2.1

30. Learn more about Infinio today 30 Accelerate response time by 10X Reduce reads 65-85% from storage Achieve better user experience from applications Extend life for storage systems VISIT US AT BOOTH #3

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