Cisco Data Center Data Center and Cloud Architecture Software and Orchestration SDN UCS Director Cisco CloudCenter Cisco Prime Services Catalog ... Cisco Data Center

Cisco Hyper Converged Infrastructure - Hyperflex

Silvo Lipovšek

Sistemski inženir

Cisco

© 2017 Cisco and/or its affiliates. All rights reserved .

Infrastructure Landscape



Best of Breed Solutions Converged Infrastructure

Hyper-Converged Infrastructure

MDS 9000Storage

HyperFlexNEXUSNetworking

ASA 5000 NGFWSecurity

UCSCompute

Hardware Platforms

ASAP Data Center and Cloud Architecture

Software and Orchestration SDN

UCSDirector

Cisco CloudCenter

Cisco Prime Services Catalog


Hyper Flex


Software Modules Inside a Server

Controller VM Has Direct Control of Drives

VAAI Plugin Offloads Snapshots

and Clone Operations

IO Visor Module Presents NFS to ESX and Stripes IO

DATASTORE/VOLUME

HYPERVISOR

HDD

HDD

SDD

SDD

SSD SSD SSD SSD

CONTROLLERVM

VAAI

stHyp

VM VM VM VM VM

IO Visor

stHypervisorSvc Coordinates Native

Recovery Snapshots and Replication


Hyperconverged Scale Out and Distributed File System

CONTROLLERVMHYPERVISOR

VM VM VM

HYPERCONVERGED DATA PLATFORMHYPERCONVERGED DATA PLATFORMHYPERCONVERGED DATA PLATFORM

Start with As Few As

Three Nodes

Hyperconverged Data Platform

Installs in Minutes

Add Servers, One or More

at a Time

Network Fabric Policy Configures

QoS Settings

Distribute and Rebalance Data Across Servers Automatically

Retire Older Servers

HYPERCONVERGED DATA PLATFORM


VM VM VM


VM VM VM


VM VM VM


VM VM VM


Building on the Right FoundationCisco HX Data Platform

Built From the Ground Up for

Hyperconvergence

Distributed Log-Structured File

System Designed for Scale-out,

Distributed Storage

Advanced Data Services (Snapshots,

Clones) and Data Optimization

(Inline Dedupe, Compression) Without

Trade-offs

Better Flash Endurance and

Disk Performance

Computing, Storage,

Networking, and Hypervisor Integration

Eliminates Management

Silos

Distributed File system

Local FS Local FS Local FS Local FS

UniqueArchitecture


Dynamic Data Distribution

• HX Data Platform stripes data across all nodes simultaneously, leveraging cache across all SSDs for fast writes

• Balanced space utilization: no data migration required following a VM migration

Systems built on conventional file

systems write locally, then replicate,

creating performance hotspots

CONTROLLERHYPERVISOR CONTROLLERHYPERVISOR CONTROLLERHYPERVISOR

VM VMVM VM VMVM VM VMVM

HX Data Platform

VM VMVM

CONTROLLERHYPERVISOR CONTROLLER

HX Data Platform


HYPERVISOR

Capacity and Network Utilization

HYPERVISOR HYPERVISOR

VM VM

1 2 3

VM

DATASTORE

CONTROLLER CONTROLLER CONTROLLER

Balanced Space UtilizationNo Data Migration on VM Migration

Less Stress on Network

HX balances space utilization: no data migration required following a VM migration


High Resiliency, Fast Recovery

Platform can sustain simultaneous 2 node failure without data loss; replication factor is tunable

If a node fails, the evacuated VMs re-attach with no data movement required

Replacement node automatically configured via UCS Service Profile

HX Data Platform automatically re-distributes data to node

CONTROLLERHYPERVISORCONTROLLERHYPERVISOR CONTROLLERHYPERVISOR CONTROLLERHYPERVISOR

VM VMVM VM VMVM VM VMVM VM VMVM

HX Data PlatformHX Data Platform


Data Protection and High AvailabilityData Protected by Replication of Data Across the Cluster Nodes

VM

x2

Write IO

Replication Factor 3 (RF3)

Default and Recommended is Replication Factor = 3

Every block is written to 3 different nodes in the cluster

Higher availability to survive multi-point failures; Higher device protection

Reduces raw disk capacity to 33% x1

Replicate

x3

Replication Factor 3 or 4 Node Cluster 5+ Node Cluster

3Simultaneous Failures Supported:

1 node / 2 drives*Simultaneous Failures Supported:

2 nodes / 2 drives*

*drives across different nodes


Independent Scaling of Compute and Capacity

HX Data Platform

Add NodesScale Cache or Capacity Within Nodes

HX Data Platform

Scale Compute-Only

BladesIOVisorIOVisor

IOVisorIOVisor

IOVisorIOVisor

IOVisorIOVisor

VM VM VM VM

Non-HyperFlex Hosts Can Connect to

Storage with IOVisor

CONTROLLERHYPERVISOR

VM VMVM

ScaleCompute-

Only Racks

VM VM VM VM

IOVisor

IOVisor


VM VMVM


VM VMVM


VM VMVM

HX Data Platform


• HX Converged node supports mounting external storage arrays via NFS, iSCSI, FC, FCoE :

• Storage array must be on Cisco HCL

• VM migration and data transfer

• Co-existence with Existing SAN environment

• Present RDM from FC SAN to VMs

• Use VMware storage vMotion for migrations over Ethernet

• Use for backup and other application support

• All Direct Connect modes Except FC direct connect. (NFS, iSCSI with Appliance ports)

• HX Datastore is not exportable outside the HX cluster

Supporting External Storage Connectivity

HX UCS Domain

iSCSI/NFS or FC Storage Volume*HX DATASTORE

FC

VM1 VM2 VM3

NFS/iSCSI


DATASTORE DATASTORE

Data Distribution and Non-Disruptive Operations

• Stripes blocks of virtual disk files across servers using a hashing algorithm

• Replicate one or two additional copies to other servers

• Handle entire server or disk failures

• Restore back to original number of copies

• Rebalance VMs and data post replacement

• Rolling “one-click” software upgrades


VM VM VM


VM VM VM


VM VM VM


VM VM VM

File.vmdk

D1 E1A1 B1 C1B2 A2 A3C2 C3 D2D3 E2E3 D1E1 B3 B3

EDCBA


• Pointer-Based Writeable Snapshots (Instantaneous Clones)

• VAAI integrated

• VM-level granularity

Native VM Clones for Rapid Provisioning

• Batch creation GUI

• Apply unique names

• Use customization spec to apply IP

• Powerful tool to rapidly setup a large set of VMs using just VC (without scripting or View composer); Up to 256 clones in parallel per job

• Golden/Base VM can be a template, powered on or powered off


Integrated Management and

Data Services

Dynamic Data Distribution

Continuous Data Optimization

Independent Scaling of Compute and Capacity

Real Innovation

#$%“&/=



Usable Cluster Capacity (TB) - HX M5 Nodes

HX220c M5

HX240c M5

Notes: For max capacity, assume Full SSD/HDD population (23 on HXAF240) and assume RF3.

HX Edge Capacity is using RF2 and can be configured with 3 drives or 6.

The above calculations are before deduplication & compression. Effective capacity will be higher.

Additional capacity headroom recommended. Consult your Cisco CSE for the latest sizing & design guidance.

HXAF220 M5

HXAF240 M5

Edge w/ RF212.03

6.01 8.02 10.03 12.03 14.04 16.05

12.03 16.05 20.06 24.07 28.09 32.10

6.01 8.02 10.03 12.03 14.04 16.05

34.61 46.14 57.68 69.22 80.75 92.29

Edge w/ RF238.52

4.81 6.42 8.02 9.63 11.23 12.84 25.68

25.68 34.24 42.80 51.36 59.92 68.48 136.97

4.81 6.42 8.02 9.63 11.23 12.84 25.68

73.83 98.44 123.05 147.67 172.28 196.89 393.78

3 Nodes 4 Nodes 5 Nodes 6 Nodes 7 Nodes 8 Nodes 16 Nodes

960G

3.84TB

960G

3.84TB

RF3

1.2TB

1.8TB

1.2TB

1.8TB


• Extends virtualization management seamlessly

• No switching between management consoles

• View storage alerts/alarms alongside with ESX alerts/alarms

• Command line interface for automation

VMware vCenter Plug-In


Native HyperFlex Connect HTML5 GUI


REST APIs

• Well-documented syntax and examples with REST API explorer

• Secure token based access with RBAC and auditing

• Eco-system: UCS Mgmt., Services (CMS), 3rd party (Veeam, etc.)

• Expanded coverage by adding AAA, Encryption, Data Protection, Support, and Performance APIs

API example

Accessed Via: http://<Cluster-IP>/apiexplorer

http://connect.hyperflex.io/


Non-Volatile Memory Express (NVMe)

• Replaces SAS write caching disk

• More efficient streamlined protocol

• Uses PCI-Express instead of legacy serial bus

• Multi-queue, more commands per queue, high parallelism

• Higher performance, lower latency

Disk Options

Self Encrypting Disk (SED)

• Used for write caching disk and capacity disks

• Disk hardware encrypts all data written to the device

• Can use UCSM derived local encryption keys, or keys from a centralized KMS via KMIP

• Secure erase, re-key


Intel Optane Support

I N T E L O P T A N E S U P P O R T

• Caching drive option available with HX 3.0

• Available on M5 only

• All Flash only configurations

• Part number: HX-NVMEXP-I375

• 375G drive capacity, 3D XPoint™

• Advantages:

• Higher Endurance: 20.5PBW (~ 30DWPD)

• Higher drive level performance

HX 3.0

Intel® Optane™ SSD DC P4800X Series(Formerly known as Cold Stream)

(Specs)

https://ark.intel.com/products/97161/Intel-Optane-SSD-DC-P4800X-Series-375GB-2_5in-PCIe-x4-20nm-3D-XPoint


Comparison of Hybrid Options

P E R F O R M A N C E O P T I M I Z E D

Drive options 1.2TB, 1.8TB –2.5” 10Krpm SAS

Max Capacity (per node)

37.7TiB raw (11.5TiB usable)

Cost Capacity ($/GB)Multiple

1X

Performance Better

Features Parity

SMALL FORM FACTOR (SFF) LARGE FORM FACTOR (LFF)

C A P A C I T Y O P T I M I Z E D

Drive options 6TB, 8TB –3.5” 7.2Krpm

Max Capacity (per node)

87.3TiB raw (26.8TiB usable)

Cost Capacity ($/GB) Multiple

< 0.5X

Performance Lower

Features Parity


HX Replication Overview

Primary Secondary

WAN

1. Replicate

2. Bi-directional

VM1’VM1

VM2VM2’

Use Case: Replication for Disaster Recovery

Point-to-Point (1-to-1) Replication Different number of Cluster nodes

on each site Replicate between HX220 and

HX240 Clusters (New in 2.6) Replicate between

Hybrid and All Flash clusters

Supported Configuration Recover from the latest Snapshot copy Supports planned and unplanned

recovery Active – Active and Active-Passive DR

via bi-directional replication Enabled to integrate with 3rd party DR

orchestration products

Underlying Technology Disaster Recovery Snapshot based, Periodic Replication Scale-out, performant, reliable and network

optimized VM Centric Replication Single PIT (latest) image for Recovery Flexible RPO of 15mins to 24 hours HTML 5 based , REST API & CLI based

operations and monitoring

New in 2.6Support for All-Flash to Hybrid Replication for

DR


Disaster Avoidance Zero RPO Automated DR Maximum Uptime

HyperFlex Stretched Cluster Cloud Scale Data Platform

Power Mission Critical Apps with

Site-BSite-A

HX Data Platform

DBAPPAPPDB

Synchronous Replication

SSDSSDSSDSSDSSDSSD

HX 3.0


HyperFlex Stretched Cluster ZERO RPO ! NEAR ZERO RTO!

Site-B

VM VM VM VM

VM VM VM VM

Site-A

3rd site Configuration Support

Single Stretched Cluster across 2 sites

Symmetric Configuration Site to host a “Witness

Server” (small VM)

8 HX nodes on each site

IO Path Active-Active sites – VMs

Active on each site VM Read IOs served locally VM Write IOs Sync-Writes

across sites 2x copies on each site

HA Operations

Recover from a Site failure Recover from a Local failure Failover of VM vMotion of VM Split Brain handling

Management Cross site Cluster creation Non disruptive online rolling

upgrade Site awareness in HX Connect Site specific Alarm and Events

on a single Dashboard

Witness Server

HX 3.0


Automated Availability Zones

Up to 32 HX

nodes

Up to 32 compute

nodes

64 Node Scale with Resiliency Cloud Scale Data Platform

64 Node & Capacity Scalability

IOVisor IOVisor

IOVisor IOVisor

IOVisor

IOVisor

IOVisor

IOVisor

Availability

Grp 3

Availability

Grp 2

Availability

Grp 1

HX 3.0


• Cluster Scale With High Availability

• Increased resiliency without added manageability overhead

• How does it work?

• HX nodes grouped into logical “availability groups” (N/A for compute nodes)

• HXDP never places 2 copies of the data in the same availability group

• Clusters with LAZ can survive > 2 simultaneous node failures without data loss or loss of availability

• Tolerate more independent failures

Logical Availability Zones (LAZ)

H X D A T A P L A T F O R M

Availability Grp 1

Availability Grp 2

IOVisor

IOVisor

IOVisor

IOVisor

Availability Grp 3

IOVisor

IOVisor

IOVisor

IOVisor

IOVisor

IOVisor

IOVisor

IOVisor

IOVisor

HX 3.0


LAZ Failure Scenario Cluster State: Offline

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

Cluster State: Online

CONTROLLER

HYPERVISOR

VMVMVMCONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVMCONTROLLER

HYPERVISOR

VMVMVM

LAZ: Off

CONTROLLER

HYPERVISOR

VMVMVMCONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVMCONTROLLER

HYPERVISOR

VMVMVM


LAZ Failure Scenario Cluster State: Offline

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVMCONTROLLER

HYPERVISOR

VMVMVM

Cluster State: Online

CONTROLLER

HYPERVISOR

VMVMVMCONTROLLER

HYPERVISOR

VMVMVM

LAZ: On

Zo

ne

01

Zo

ne

02

Zo

ne

03

Zo

ne

04

CONTROLLER

HYPERVISOR

VMVMVMCONTROLLER

HYPERVISOR

VMVMVM

CONTROLLER

HYPERVISOR

VMVMVMCONTROLLER

HYPERVISOR

VMVMVM

Zo

ne

05


Veeam Backup & Replication

• Backups and restores via a Veeam proxy VM

• CBT aware, compressed and deduped backups

• Cluster to Cluster replication for disaster recovery

• Full VM, file and item level recovery

• WAN acceleration, replica traffic encryption and throttling

Recover Time & Point

Objectives< 15 for apps and data

Fabric

Interconnect

LAN/SAN

frontend

HX Data Platform

Fabric

Interconnect

LAN/SAN

frontend


Automation / Orchestration Multi-SiteOperations

HyperconvergedRemote / Branch / Edge Performance

Purpose built Management Tools


One Interface, One API

Cisco Intersight


HX Tools

• End to End Sizing

• Includes – compute (CPU & Memory), Storage performance and capacity

• Application templates to aid application based sizing

HX Sizer

• OVA deployed in existing environments

• Quantify usage for sizing

• Integration with sizer to automate end to end sizing of environments

HX Workload Profiler

• OVA with benchmarking built on vdbench

• Benchmarking made easy

• Follows industry standard benchmarking practices for a realistic readout

HXBench


37

Cisco HX Bench User Interface


38

Benchmark 1 Performance Results Using Vdbench Tests8K 100% Sequential Write Workload

• Target Write Latency < 10ms

• 16 OIO Per Disk

• 27% Latency Reduction and IOPs Gain with 40 GbE

• 6% Latency Reduction and IOPs Gain on 2.5 + NVMe

• 8% Latency Reduction and IOPs Gain with HX 2.6 on M5

96.426

122.514130.015

140.397

10,61

8,357,87 7,30

0,00

2,00

4,00

6,00

8,00

10,00

12,00

14,00

16,00

18,00

20,00

0

20.000

40.000

60.000

80.000

100.000

120.000

140.000

160.000

2.0 2.0 + 40GbE 2.5 + 40GbE 2.6 M5

La

ten

cyIO

Ps

Maximum Sequential Write

IOPs Latency


39

Benchmark 2 Performance Results Using Vdbench Tests8K 100% Random Read Workload

• Target Read Latency < 5ms

• 32 OIO Per Disk

• 7% Latency Reduction and IOPs Gain with 40 GbE

• 23% Latency Reduction and IOPs Gain on 2.5 + NVMe

• 3% Latency Reduction and IOPs Gain with HX 2.6 on M5

389.526415.449

511.992 529.241

5,26 4,934,00 3,87

0,00

2,00

4,00

6,00

8,00

10,00

12,00

14,00

16,00

18,00

20,00

0

100.000

200.000

300.000

400.000

500.000

600.000

2.0 2.0 + 40GbE 2.5 + 40GbE 2.6 M5

La

ten

cyIO

Ps

Maximum Random Read

IOPs Latency


40

Benchmark 3Performance Results Using Vdbench Tests100% Random 70/30% R/W with Varying Block Sizes

4K 8K 16K 64K 256K

IOPs R Latency W Latency IOPs R Latency W Latency IOPs R Latency W Latency IOPs R Latency W Latency IOPs R Latency W Latency

2.0 150,673 2.12 6.36 130,511 2.40 7.47 92,130 3.49 10.35 34,965 10.75 23.70 10,079 45.60 62.80

2.0 + 40 GbE 152,434 2.22 6.00 142,721 2.36 6.47 111,905 3.13 8.03 51,146 6.96 17.16 19,712 11.68 59.28

2.5 + 40 GbE 161,131 2.24 5.37 160,290 2.09 5.75 136,433 2.45 6.78 56,339 6.30 15.74 20,036 9.17 63.61

2.6 M5 180,037 1.72 5.49 173,193 1.91 5.39 140,842 2.36 6.61 61,227 5.45 15.18 20,732 8.96 61.37

• Target Read Latency < 5ms and Write Latency < 10ms for 4-16K blocks

• 8 OIO Per Disk

• ~6% Latency Reduction and IOPs Gain with 40 GbE at 4-8K, 50-100% Gains for Larger Blocks

• 10-22% Latency Reductions and IOPs Gains with HyperFlex 2.5 and NVMe Caching Disks

• 3-11% Latency Reductions and IOPs Gains with HyperFlex 2.6 on M5 Generation Servers


41

Benchmark 4Performance Results Using Vdbench Tests8K 100% Random 70/30% R/W IOPs Curve

• Curve test measures IOPs stability by calculating the standard deviation of IOPs as a percentage of the final average result, at various performance levels, starting with a 100% unthrottled test, then again at a percentage of that maximum

• Maximum speed, unthrottled tests will always have more variability due to more aggressive background tasks

• 20% through 60% values are typically very low because the system is not being pushed very hard

• 65% improvement in IOPs stability with 40 GbE at 80% of maximum HX 2.5 shows a further 78% improvement

• HX 2.5 also shows a 54% improvement of IOPs stability in the 100% unthrottled test

• HX 2.6 on M5 generation servers shows improvements in all tests, including 28% at 100%, and 45% at 80%

100% 20% 40% 60% 80%

IOPsIOPs

STDV

Avg

LatencyIOPs

IOPs

STDV

Avg

LatencyIOPs

IOPs

STDV

Avg

LatencyIOPs

IOPs

STDV

Avg

LatencyIOPs

IOPs

STDV

Avg

Latency

2.0 138,190 19.0% 3.71 27,666 0.5% 1.07 55,299 0.5% 1.57 82,960 0.5% 2.20 110,594 6.6% 3.14

2.0 + 40 GbE 151,568 18.6% 3.38 30,331 0.5% 0.99 60,621 0.5% 1.37 90,957 0.5% 2.08 121,250 2.3% 2.63

2.5 + 40 GbE 169,983 8.6% 3.01 34,031 0.4% 0.86 68,058 0.5% 1.17 102,023 0.5% 1.66 136,018 0.5% 2.28

2.6 M5 173,193 6.2% 2.95 34,699 0.2% 0.80 69,331 0.2% 1.21 103,953 0.2% 1.68 138,580 0.3% 2.38


42

Benchmark 5Performance Results Using Vdbench TestsI/O Blender 100% Random 70/30% R/W IOPs Curve

100% 20% 40% 60% 80%

IOPsIOPs

STDV

Avg

LatencyIOPs

IOPs

STDV

Avg

LatencyIOPs

IOPs

STDV

Avg

LatencyIOPs

IOPs

STDV

Avg

LatencyIOPs

IOPs

STDV

Avg

Latency

2.0 104,624 25.6% 4.89 20,967 0.5% 1.31 41,898 0.5% 1.72 62,825 0.5% 2.53 83,756 4.4% 3.89

2.0 + 40 GbE 114,354 22.2% 4.47 22,902 0.5% 1.04 45,792 0.5% 1.47 68,664 0.5% 2.47 91,435 3.1% 2.97

2.5 + 40 GbE 137,078 13.6% 3.73 27,466 0.5% 0.96 54,897 0.5% 1.45 82,292 0.5% 2.13 109,727 0.5% 2.77

2.6 M5 137,416 12.1% 3.72 27,496 0.2% 0.80 54,990 0.3% 1.49 82,456 0.3% 1.96 109,955 0.4% 2.89

• Test measures IOPs stability by calculating the standard deviation of IOPs as a percentage of the final average result, at various performance levels, starting with a 100% unthrottled test, then again at a percentage of that maximum

• Block Size Mix: 4K 40%, 8K 40%,16K 10%, 64K 10%

• 20% through 60% values are typically very low because the system is not being pushed very hard

• 30% improvement in IOPs stability with 40 GbE at 80% of maximum, HX 2.5 shows a further 84% improvement

• HX 2.5 also shows a 39% improvement of IOPs stability in the 100% unthrottled test

• HX 2.6 on M5 generation servers shows improvements in all tests, including 11% at 100%, and 20% at 80%


0

5000

10000

15000

20000

25000

30000

1 7

13

19

25

31

37

43

49

55

61

67

73

79

85

91

97

103

109

115

121

127

133

139

145

151

157

163

169

175

181

Intervals

Vendor Y

VM1 VM2 VM3 VM4 VM5 VM6


43

Per VM Test Results Variation

IOPS in a 70/30 Workload – 1 Hour Duration

0

5000

10000

15000

20000

25000

30000

1 8

15

22

29

36

43

50

57

64

71

78

85

92

99

106

113

120

127

134

141

148

155

162

169

176

Intervals

HX




HyperFlex Performance Testing Findings

Read the full ESG report:

cisco.com/go/hyperflex

3x Higher VM Density

3x Reduced Read/Write Latency

7:1 Reduced IOPS Variability

3x Better TCO

Predictable End-User Experience

More Workloads on Hyperconverged


HyperFlex All-Flash Performance Consistency

0

200

400

600

800

1.000

1.200

0 20 40 60 80 100 120 140 160

IOP

S

VM

Cisco HyperFlex IOPS per VM

Each dot represents a Virtual Machine and its average IOPS over an hour of load

Consistent Performance for

All VMs on the Cluster

Wildly Inconsistent VM

Performance Across the Cluster

0

200

400

600

800

1000

1200

0 50 100 150

IOP

S

VM

Vendor B IOPS per VM


HyperFlex Solutions / Workloads Portfolio

Cisco HyperFlex: HX Data Platform

Data Services and Storage Optimization

Current

WORKLOADS / APPLICATIONS

VMWare HorizonCitrix

XenDesktop

VSI on HX

Cisco UC

MS SQLSAP (Non – Prod

/ Prod)

Oracle RAC Splunk MS Exchange

ACI

N1K

Resources: HX homepage (external)

INTEGRATION / INTEROP

CommvaultVeeam

Cloud Center UCSD

3rd Party Arrays NVIDIA

HX Tools (for sizing)

Oracle Single Instance

http://www.cisco.com/c/en/us/products/hyperconverged-infrastructure/index.html


Documents

Cisco Data Center Data Center and Cloud Architecture Software and Orchestration SDN UCS Director Cisco CloudCenter Cisco Prime Services Catalog ... Cisco Data Center