Cisco Storage Overview

Dec 1, 2016

2

The data growth impact is significant…

… along with the business

value.

•Multi-billion dollar business

•High margin business

•Central to the core of many

other business units and

decisions

We witnessing a major shift

Consolidation

Virtualization

IT as a

Service

Hybrid

CloudTRADITIONAL

DATA CENTER

2000 2008 2015

ADOPTION CURVE

The Next 5+ years

We are here

Simplicity

Agility

Standardization

DISTRIBUTED

CLOUD

DATA CENTER

Automation

Efficiency

Speed

IT Transformation: The Tale of Two ITs

Emerging datacenter architecture use-cases

Traditional Shared Storage

- SAN or NAS shared to many servers

- High capacity flexibility

- Can be single point of failure

- Storage management built-in / HW-based

Clustered, Server-side Storage

- Cisco HCI pioneering in segment

- High performance use-cases: NVMe storage in standard

servers in cluster

- Delivers maximum CPU-to-storage efficiency

- High availability / data replication done via Application or OS

- Can achieve highest in performance and application uptime

Storage Trend: Capacity Tier Moving into the Server

All Enterprise Workloads

All Enterprise Workloads

VDI/BURA/BC-DR/IAAS

Scale-Out File/Block/Object

TAM = $5B

CAGR = 31%

TAM = $40B+

CAGR = 0%

TAM = $0.5B

CAGR = 150%

TAM = $6.2B

CAGR = 35%

Pretested and preconfigured bundled solutions,

acting as whole, consisting of compute,

network, storage and management software.

Provide platform to meet customer challenges

and growing infrastructure demands

Consistent, financially efficient, operationally

simplified, independently scalable solution

Rapidly deployable, allows granular upgrades

Customer Challenges &

Infrastructure Demands

Converged Infrastructure

FLEXPOD UCP- SelectVSPEX SmartStackVersaStackVBLOCK

Proliferation of applications; Need for any application on any device

Roll out new and/or business critical database applications quickly & consistently

Single system operation – Reduced Infrastructural and management complexity

Add capacity and storage when needed

Accelerated implementation

Streamlined support

Cisco UCS

Cisco Nexus

Market Trends

2) Hyper-Convergence is evolving,

growing & disruptive to traditional storage

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

0

2

4

6

8

10

12

14

16

18

2013 2014 2015 2016 2017

Billio

ns

Integrated Systems Hyper-converged

Fast Deployment (Hours not Days)

Management and Operation Simplicity

(Intuitive UI)

Simple Elasticity (automatic scale)

Cost efficiency (predictable step

growth)

Minimize Risk (Pre-Validated

Designs)

Any workload (Mission Critical Apps)

Flexibility (Virtualized and Bare Metal)

Independent Scale out (building

blocks)

1) Increasing

overlap

The programming that controls the storage is decoupled from the physical hardware

Consists of the Storage Only

Emphasizes storage services such as deduplication or replication, instead of storage hardware

A shared pool that runs on commodity hardware

Utilizes Policy Based Management

Often referred to as Storage Virtualization and is part of a bigger industry trend of Software Defined Datacenter

Definition: What is Software Defined Storage (SdS)

Software Defined Storage

Local Physical Storage

Hosts

Storage Software can run on bare

metal or as a VM on a hypervisor host

New Converged Infrastructure offering utilizing Software Defined Storage

Tight integration of x86 servers for compute and storage, networking and virtualization in all-in-one appliance.

Integration of hypervisors and physical infrastructure

Simple Scale one unit/appliance at a time

Simple Deployment measured in hours

Centralized Management, intuitive UI

Definition: What is Hyper-convergence?

Controller

VMVM VM VM

Local Physical Storage

Hypervisor

Controller

VMVM VM VM

Local Physical Storage

Hypervisor

Controller

VMVM VM VM

Local Physical Storage

Hypervisor

• Fast Deployment (Hours not Days)

Management Simplicity (Centralized and intuitive UI)

• Operational Simplicity (Target VM administrator)

• Simple Elasticity (automatic scale)

Cost efficiency (predictable small step-based growth)

What does Hyper-converge promise?

Converged Infrastructure vs. Hyper-Converged

Converged or Integrated Infrastructure – i.e. vBlock, FlexPod, SmartStack, VersaStack, etc• Preconfigured bundles of hardware & software delivered as a single-solution• Basically disparate components acting as a whole with some type of software management layer• Typically includes a compute tier & storage tier connected together with one or more networks• Works with both virtualized and non-virtualized (Bare metal) workloads• Can easily scale one component separate from another since they are separate building blocks –

allows for granular upgrades and tweaks

Hyper-Converged Infrastructure• Compresses the Compute & storage tiers of hardware into a single tier• Deployed as a cluster of nodes with each node having compute/storage resources• Storage is virtualized & shared across entire cluster• Foundational components often include integrated backups, snapshot capability, data deduplication,

inline compression and even WAN optimization• Hypervisor Centric, so often only works with virtualized workloads• Typically a node includes both compute and storage resources, so cannot add one without the other• This federated storage model has several advantages – improved storage utilization, balanced

workloads and ease of storage migration

Customer Criteria Converged HyperConverged

Compute, Storage, Network, Server Virtualization in one Flexible, allows choosing from

Multiple Vendors

Rigid, single vendor offers or

limited choices

Scalability Flexible, can scale up and out

as needed

Has Limitations

Common Management Software Increasingly offered as an

option

Built in by default

Packaged as a Single Unit Possible through SI Offered by default

Pre-Sized and Pre-configured Possible through SI Offered by default

Time to Deployment Days and weeks Hours

Pricing Perceived as high Perceived as low

Performance, Quality, and Uptime High – Designed and validated

for high quality and availability

at various scales and speeds

Low – Tests fail at higher

scales and speeds

Converged vs. HyperConverged

Cisco UCS HyperConvergence Strategy

Customer Needs

Scale

Speed

Simplicity

Technology Options

Integrated Infrastructure

Solutions

Automated

Provisioning

SmartStack FlexPod

UNIFIED ARCHITECTURE

SCALE OUT

UCS M-Series

Modular Servers

UCS

C3160

INTEGRATED INFRASTRUCTUREUCS B-SERIES

UCS MINI HYPERCONVERGED

C-Series

Rack Servers

Software Defined Storage

Solutions

Cisco Strategy

Flexibility of Deployment Options

Best Technology Choice

Comprehensive Validated Designs

Timed with Market Demand

Simplicity, Speed, Scale

+Choice of Storage

Introducing Cisco HyperFlex Systems

Complete Hyperconvergence

Software Defined Compute, Storage & Network

Next Generation Data Management

Always-on Optimization and Flexible Scaling

Future Ready Architecture

Built for Todays Workloads and Emerging Applications

Cisco HyperFlex Configurations

HX240c Cluster

Capacity-heavy 3–8 Node Cluster

(VSI: IT/Biz Apps, Test/Dev)

Per-Node1x1.6TB Cache SSD

up to 23x1.2TB HDDs

SD Card/120GB Back SSD

(Boot/Housekeeping)

HX220c Cluster

Smallest Footprint 3–8

Node Cluster (VDI, ROBO)

Per-Node1x480 GB Cache SSD

6x1.2TB HDDs

SD Card/120GB SSD

(Boot/Housekeeping)

Hybrid Clusters

Compute-heavy Hybrid

(Compute Bound Apps/VDI)

Up to 8 Compute Nodes

Blade or RackB200 M4, C220 M4 or C240 M4 (Supported)

Local Disk, SD Card or SAN Boot

3-8 Node HX220 or HX240 Cluster

4

1

5

2

6

3

7 8 UCSC220 M4

Intel

Inside

XEON

Console!

C220 M4

!

Intel

Inside

XEON

UCSC240 M4

Con

sole

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

1 6 12 18 24

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

UC

S-H

DD

30

0G

I2F

10

5

15

K S

AS

30

0 G

B

!

C240 M4

B200 M4

UCS Integrated HyperFlex Networking

Shipped From Factory With Integrated Networking

High Performance, Flat and Predictably Latent Fabric

Simplified Network Deployments• No specialized protocol

requirements such as IPv6, Multicast

Plug and Play Networking with UCS Unified Fabric

Reduced Complexity, Simplified Decision Making and Deployment

CVM Data Port GroupData vSwitch

CVM Mgmt Port GroupManagement vSwitch

Predefined DC Network Policies

CONTROLLER VM CONTROLLER VM CONTROLLER VM CONTROLLER VM

Integrated Management and

Data Services

Dynamic Data Distribution

Continuous Data Optimization

Independent Scaling of Compute and Capacity

HyperFlex Design Principles

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

No Reliance on Legacy

Filesystems or

Technology

Distributed File system

Local Disks

Unique

Architecture

Local Disks Local Disks Local Disks

Capacity Options

3 Node

HX220c

HX240c

4 Node 5 Node 6 Node 7 Node 8 Node

Assumes: Full HDD population. RF3.

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

Consult with your Cisco CSE for the latest sizing & design guidance.

6.02 TiB 8.03 TiB 10.04 TiB 12.04 TiB 14.05 TiB 16.06 TiB

23.09 TiB 30.79 TiB 38.48 TiB 46.18 TiB 53.88 TiB 61.58 TiB

Usable Cluster Capacity

Cisco HyperFlex and UCSRunning Non-HyperFlex Workloads In The Same UCS Domain

Cisco UCS Domain

HyperFlex Cluster

+

Non-HX UCS

Systems

Fully Supported Configuration with HX 1.8

UCS Firmware Must Remain at Minimum

Supported Version for HX, or Higher

Useful for Running UCS General Purpose

Workloads Alongside a Separate

HyperFlex Cluster Within the Same UCS

Domain

Example: HX Cluster + C3260 Servers as

a Backup Solution

Cisco HyperFlex and External StorageConnecting HyperFlex Domains To External Storage Arrays

Fully Supported Configuration with HX 1.8 and

Storage Arrays on the Cisco HCL

UCS Firmware Must Remain at Minimum

Supported Version for HX, or Higher

Useful for VM Migrations, RDMs, Backups and

Other Applications

Examples: VM Migrations from External Arrays

RDM from FC Array for Microsoft Clustering

HyperFlex Domain

NFS, iSCSI, FC or FCoE

Direct Connect or use

External Switches

Integrated Management and Data Services

• UCS Manager vCenter Plug-in

• Manage UCS Service Profiles

• Update Server Firmware

• KVM launch of console

• Instant provisioning, cloning and snapshotting of virtual machines from within vCenter

• No separate console, no learning curve

• UCS Manager familiar to 50,000 customers WW

• Server and network deployment settings in pre-configured Service Profiles

• Pointer-based snapshots

• Space-efficient with no performance penalty vs. Vmware Redo Log Snaps

• Fast creations and deletions

• Fine-grained or coarse-grained

• VM-level or VM folder-level

• VAAI-integrated

• Quiesced and crash-consistent

• Use vCenter Snapshot Manager

• Policy-based schedules and retention

Fast and Flexible Native Snapshots

All This Functionality Enabled with the HX Data Platform Filesystem

• 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

Cloud-Scale Changes need for Storage

Core Enterprise Workloads Cloud Scale

Traditional Storage

ServerSingle

Server

Unstructured

Date Store

Single

Application

SCM ERP/

Financial

Legacy CRM Email Social Media Email

Video

Backup

Archive

Cloud

Storage

SAN/NAS

Use Cases for the UCS C3000 Server Family

Service Providers

Public Sector

Service Providers,

Enterprise

Service Providers,

Enterprise

Software Defined

Storage

Object Store

Media Streaming and

Content Distribution

Video Surveillance

Exchange

Backup and Archive

(as Service)

Big Data and

Analytics

Service Providers,

Enterprise, Cloud

Cisco UCS C3160/3260

UCS Compute PortfolioPerformance Optimized for Bare Metal, Virtualized, and Cloud Applications

Cloud Scale

UCS C460 M4

Mission-Critical, 4-Socket

Server for Large, CPU-

Intensive Applications

UCS B420 M4

Enterprise Class, 4-

Socket Blade for Large,

Memory-Intensive Bare

Metal

and Virtualized

Applications

Rac

kB

lad

e

UCS B260 M4

Mission-Critical, 2-Socket

Blade for Large, CPU-

Intensive Bare Metal

and Virtualized Applications

UCS B460 M4

Mission-Critical, 4-

Socket Blade for Large,

CPU-Intensive Bare

Metal

and Virtualized

Applications

UCS C240 M4

Ideal Platform for Big Data, ERP,

and Database Applications

UCS B200 M4

Optimal Choice for VDI, Private

Cloud, or Dense Virtualization/

Consolidation Workloads

UCS C220 M4

Versatile, General Purpose Enterprise

Infrastructure, and Application Server

UCS C3000 Series

Ideal Capacity-Optimized

Platform for Large Object

Storage at Scale

Intensive/Mission CriticalEnterprise

Performance

UCS C3260M4 Chassis ArchitectureDrives

4 Rows of Hot-Swappable HDD

4TB/6TB/8TB/10TB with up to 2 Rows

of 400GB/800GB/1.6TB/3.2TB SSD

Total Top Load: 56 drives

FAN8 Hot-Pluggable

Fans

Server NodeUp to (2) Based on Intel V4 CPUs, LSI

12G RAID, Up to 512GB DDR4 RAM

(1024GB Post-FCS), and NVMe

Optional Second NodeServer Node or Drive Expansion

or PCIe Expansion

Up to (4) 120GB/480GB/1.6TB SSDsHW RAID, Hot-Plug, OS/Boot

System I/O Controller (SIOC)Up to (2) Cisco VIC 1300 on Chip

Power Supply4 Hot-Pluggable PSUs

*Shown with Single Server Node

and IO Expander

C3260M4 Chassis Configurations

Dual-Node 3260M4 Single-Node 3260M4

Single-Node 3260M4with IO Expander

Single-Node 3260M4with Disk Expander

Server Node 2

Server Node 1 Server Node 2

Empty

Server Node 2

IO Expander

HDD Expander

Server Node 1

HDDSSDPCIe

Flash

NVMeNVDIMMsDIMMs

Storage Is Moving Ever Closer to the CPU

Cache

• Cisco a leader in enabling storage inside the server – Key Differentiation:

1. UCS Manager provides unique and powerfully-streamlined management experience

2. Advanced BIOS and Fan control algorithms provide highest density with highest and consistent performance

• Performance combined with competitive price-points causes PCIe interface to increase quickly (NVMe is standard driver set)

UCS and Server-side Storage

/NVMe

2016-2018 server-side storage technologiesShipping now

HDD10,000 µs

1,000 µs

SAS/SATA SDD (NAND)

100 µs

PCIe/NVMe SSD (NAND; Add in Card or

2.5” Small Form Factor)10 µsPCIe/NVMe Xpoint (New Media, not

NAND; various Form Factors)

$1/GB

$2/GB

$3/GB

$6/GB

• Streaming/Sequential

• Backup

• Big Data/Analytics

• DRAM Extension

• In-Memory DB

• Caching

1 µs

• OLTP DB (most)

• Some Analytics (Hadoop, SAS)

• Virtual Servers

Flash $/GB

decreasing quickly

- IOPS +

Latency Planned for CY2017

Why is NVMe run over PCIe?

Or

Direct to CPUSERVER

- Peripheral Component Interconnect Express (PCIe) the single chosen interconnect for

NVMe Storage

- NVMe is the first standard for addressing storage designed for Solid State Media – SCSi

was designed for spinning storage media (HDD)

- Fusion io pioneered the PCIe Storage market but…

- Now, with NVMe

- Dramatically lower pricing

- In-box drivers / very easy to deploy

UCS – In-Server Storage Options

SATA

SSDHDD

SAS

SSDHDD

NVMe

SSD

RAID Controller

RAID ControllerPCIe - Direct

to CPU (just

like Fusion io)

- Performance

+

Small Form Factor (SFF) – 2.5” SFF – 2.5”HHHL

SFF – 2.5”

Mainstream Computing

Scale Out

Cisco UCS: Platform for All Architectures

HyperconvergedInfrastructure

Converged Infrastructure

Unified ManagementSingle Control Plane

Single API

Edge Cloud

ROBO

UCS C3000

Series

Fourth Generation

UCSHyperFlex Systems

UCS Mini

E-Series

C-Series

Rack Servers

UCS Integrated

Infrastructure Solutions

Single Operational Model

UCS Manager UCS Director Enterprise Cloud Suite

Closing Thoughts

Orchestration

Granularity

Programmability

Scalability

Physical, Fixed Ratio,

MonolithicAbstracted,

Variable Ratio,

ComposableNexus UCS

ACISystem Link

(M-Series)

CPU CPU CPU CPU CPU

Memory

Local Storage

Network I/O

SAN I/O

Local Storage

Network I/O

SAN I/O

Network I/O

SAN I/OSAN I/O

Memory

Local Storage

Network I/O

Memory

Local Storage

Memory

SAN I/O

Network I/O

Memory

Local Storage

Mode 1 Mode 2

Multi-CoreServer

VirtualizationStorage

VirtualizationSANPC Server

NetworkVirtualization

IT, Apps and Infrastructure are Evolving

Mainstream Applications

Converged Infrastructure

Pre-Assembled

VM VM VM VM VM

SDS

ComposableInfrastructure

APP

Cloud Native & Scale Out Apps

Rack & Multi-node Servers

Dynamically Assembled

Microservices & Containers

Object & Distributed Storage

DevOps Style IT

Traditional IT Models

Analytics

Hyper Converged

Virtualized Apps

Manually Assembled

Cisco Storage Innovation

Industry-leading Integrated Infrastructure Solutions

Storage-optimized UCS Servers

UCS HCI & SDS Solutions

Storage Protocol Optimized I/O

Simplified, Policy-driven Storage

Consumption with UCS Storage

Profiles and UCS Director

Big Data

and

Analytics

OrchestrationServer-Based StorageIntegrated Infrastructure

UCS Hyperconverged

UCS Software-Defined Storage

UCS C3000

Cisco Virtual

Interface Card

1 2 3

Cisco Infrastructure for Future Proofed IT

Traditional IT DevOps Style ITAutomation

Scale up & Scale OutVirtualized & Bare Metal

Converged Infrastructure

Hyper Converged ComposableInfrastructure

+ + +

Cisco Unified Computing System

Virtual SAN

Cisco System Link TechnologyUCS M-Series

Extensible Control Plane&

Comprehensive API

Consistent Infrastructure Management

&Broad Interoperability

Architectural Flexibility&

Future Proofed IT

DevOps Style IT

Traditional IT Models