1. DVX From PAIN to INSANE- Changing the VDI game with Server Powered Storage
Patrick Sliney
Principal Systems Engineer
@PJSliney

2. But first, a quick audience survey
Who is hosting their applications in Trapp’s App Cloud?
I love it! I can finally focus on my core business!
I don’t trust my data in the cloud
Trapp has a cloud?
My VDI project:
Is a raging success
Is in progress
Is in planning / research phase
What’s VDI?
Compared to last year, I am supporting
More users
More devices
More applications
My IT needs are shrinking

3. But first, a quick audience survey
Who’s running these Hypervisors in production?
Vmware ESXi
Microsoft Hyper-V
KVM / Openstack
Hypervisors are for hippies- Server huggers FTW!
What’s your x86 server platform?
Mostly blade servers
Mostly chassis servers
That x86 stuff will never catch on! MIPS 4ever!
How are your servers attached to storage?
10 Gb Ethernet
1 Gb Ethernet
Fibre Channel
DAS
Fibre Channel over Token Ring

4. The Operational Thesis of Open Converged
Array based storage architectures are not addressing the dynamic shift in application workloads being thrust into the hypervisor.
Scaling these workloads has exposed critical dependencies that traditional or hyperconverged storage architectures are struggling to support.
By driving the application data into the hypervisor hosts, you merge it with the application run-time state and convert to completely localized I/O operations. Server Powered Storage advantages are profound.

5. Ecosystem Partners VMware Unidesk Citrix Login VSI Horizon View
Proven Storage for VDI (in progress)
Unidesk
Citrix
XenDesktop
Login VSI
Tested with Login VSI
We are actively working with VMware on both Reference Architecture (RA) and Proven Storage (1000 user) validations and marketing efforts.
Unidesk has already shown promise within our existing customer base
Citrix works as well with better handling of MCS style deployments on DVX
Validation is done internally (and soon to be externally) with Login VSI testing tool framework

6. Datrium Architecture – Elastic Primary Storage
Example
~100 desktops per host
20 core / 256GB
Mulitple hosts per VDI cluster
4-12
Over 30TB of usable storage
Durable data (with no reduction)
Local reads from host flash
Reduced latency
Data reduction – local / global
Host and NetShelf – 6-10x?
10GB

7. Datrium Benefits for VDI
Simpler storage management
Single Datastore presented to the infrastructure
Data reduction leverages resources throughout environment
Better performance isolation
Hosts define the performance level
Dependency on storage is powered by the host
Faster local reads from flash
Boot storms (per host) with less contention
Some provisioning methods can leverage VAAI clones
More flexible deployment alternatives
Server selection is not “locked in”
Mix and match resources to meet desktop pool requirements

8. Case Study: Large Oregon Hospital System
Scaling:
Existing Workload
ESX Servers 16
Read Cache
337TB
Virtual Desktops
25,040
Speed
|____|____|____|____|____|____|____|____|____|____|____|____|____|____|____|____|____|
480,000
IOP/s
10GbE
ESX Servers 3
De-Dup/
Compression
Read Cache
Cache Hit Ratio
Virtual Desktops
Speed
|____|____|____|____|____|____|____|____|____|____|____|____|____|____|____|____|____|
Single NetShelf
7.4X
44.4TB
100%
658
12,435
IOP/s
Server Config
Make = HP G8
CPU = 20 Cores
SSD = 2X Samsung 850 Pro 1TB
ESX = 5.5u2

9. Open Converged for VMware
10GbE
Existing Servers:
- Add SSDs
10GbE
Integrated:
- Bundles
10GbE
Custom:
Bundled / Existing
EASY

10. Datrium DNA investors Brian Biles, CEO @DDUP: Founder, VP Products
Hugo Patterson, CTO
@DDUP: 1st CTO, EMC Fellow
Sazzala Reddy
@DDUP: 2nd CTO,
EMC Distinguished Engineer
Boris Weissman
@VMW: Principal Engineer, 11 years
Ganesh Venkitachalam
@VMW: Principal Engineer, 12 years
NEA and Lightspeed Venture Partners
INDIVIDUALS:
FORMERLY:
Frank Slootman
Dr Kai Li
Diane Greene
Mendel Rosenblum
Edouard Bugnion
CEO, Data Domain
Founder, Data Domain
Founder, VMware
investors

11. So… What’s a Datrium? Faster than All Flash Arrays
Half the $/GB of Hybrid Arrays
More Flexible than Hyperconverged
Scale performance and capacity independently

12. How about a quick whiteboard??

14. Datrium DVX Components
You Have:
ESX Hosts
Any x86 Server
Blades / Rack
DVX Hyperdriver VIB installs on ESX Hosts
Storage Services: Hyperdriver on ESX
Datastore: NFS presented to all hosts
READS: All from local flash in each host
WRITES: to Netshelf, NVRAM, full HA
Dedupe: Both in cache & global on Netshelf
You Add:
Flash
Commodity
Abundant
Speed from Hosts: Add Hosts, goes faster
10GB
DVX Netshelf: We ship, partner installs
We Bring:
Durable Capacity Appliance
2RU, 100TB+

15. Datrium DVX Components
RAID Controllers
Hosts
Flash
Any host with at least 2 drive slots and 4 CPU cores.
One core for Hyperdriver, additional cores for performance.
Ideal for Cisco UCS and blade servers.
Any from Server Vendor
Always configure single-disk RAID-0, or JBOD if no RAID controller
First choice
Flash recommended by the server vendor
Safe Choices – anything on VMWare HCL
Latest list can be found in the release notes

16. Open Converged for VMware
10GbE
Existing Servers:
- Add SSDs
10GbE
Integrated:
- Bundles
10GbE
Custom:
Bundled / Existing
EASY

17. Manage Storage Like VMs
Performance Upgrades: Host Only
VM HA Event?
Boot On Alternate Host
Rapid Re-Cache Upload
No upload for sequences already in use
Layout for flash availability: DiESL
Distributed Execution, Shared Logs
Sequential, unblended
Heat-informed prefetching
Consistent Space Reclamation / Sweeping
Standard vMotion for SLA adjustments
If local host resource-limited, after vMotion:
Sequential cache upload from NetShelf
Read from origin cache until destination is warm 1 . 2

18. Unlocking ESX Performance with SPS
Typically there are empty disk slots available in rackmount or blade servers.
example:
cache needed: average number of VMs / host = 40 * average size of VM = 100GB
= 4TB cache needed to provide 100% cached reads
8TB RAW Flash with capacity efficiency factor 3X (compression + deduplication)
= 24TB cache / host available
6X cache over-subscription possible – maintained as your cluster grows out
4TB
hypervisor host
4TB
hypervisor host
4TB
hypervisor host
4TB
hypervisor host
4TB
hypervisor host
4TB
hypervisor host
4TB
hypervisor host
4TB
hypervisor host
4TB
hypervisor host
4TB
hypervisor host

19. Case Study: Large NY Email Hosting Firm
Scaling:
Existing Workload
ESX Servers 12
Read Cache
50TB
VMs
900
Speed
|____|____|____|____|____|____|____|____|____|____|____|____|____|____|____|____|____|
360,000
IOP/s
10GbE
ESX Servers 4
De-Dup/
Compression
5.2X
Read Cache
Cache Hit Ratio
VMs
Speed
|____|____|____|____|____|____|____|____|____|____|____|____|____|____|____|____|____|
Single NetShelf
16.6TB
100%
171
3824
IOP/s
Server Config
Make = HP G8
CPU = 20 Cores
SSD = 2X Samsung 850 Pro 1TB
ESX = 5.5u2

20. Datrium Storage No storage training needed, VM Centric
.50c /GB - .30c /GB
More cores, more hosts = more speed
X1000 IOP/s
|____|____|____|____|____|____|____|____|____|____|____|____|____|____|____|____|____|

21. Manage Storage Like VMs
Completely Integrated vSphere Presence
No other UI to Learn or Access
Manage at DVX, Host, and VM levels
Summary, Real-time & Historical Views Per Host, VM, and DVX
At a Glance Situational Knowledge
Real-time Key Performance Metrics Event and Task Oriented
Monitor and Manage
Capacity and Flash Resources
Headroom Available, Data Reduction
Available and Projected Stats
Simplify

22. Why Datrium Simple Concepts: No more islands of SAN
Manage Hosts and Applications, not arrays
Leverage & augment existing infrastructure
Lower TCO
Evolve to faster more efficient storage vs rip replace
Faster Cheaper Easier

23. Fundamentally different