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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
Cloud
TRADITIONAL
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
Billions
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
VM
VM VM VM
Local Physical Storage
Hypervisor
Controller
VM
VM VM VM
Local Physical Storage
Hypervisor
Controller
VM
VM 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
CustomerNeeds
Scale
Speed
Simplicity
TechnologyOptions
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
CiscoStrategy
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-Node
1x1.6TB 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-Node
1x480 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 Rack
B200 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 UCS
C220 M4
Intel
Inside
XEON
Console!
C220 M4
!
Intel
Inside
XEON
UCS
C240 M4
Console
UCS-HDD300GI2F105
15KSAS
300GB
!
1 6 12 18 24
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
UCS-HDD300GI2F105
15KSAS
300GB
!
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 Foundation
Cisco 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 UCS
Running 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 Storage
Connecting 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
Server
Single
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 Portfolio
Performance 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
RackBlade
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 Critical
Enterprise
Performance
UCS C3260M4 Chassis Architecture
Drives
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
FAN
8 Hot-Pluggable
Fans
Server Node
Up to (2) Based on Intel V4 CPUs, LSI
12G RAID, Up to 512GB DDR4 RAM
(1024GB Post-FCS), and NVMe
Optional Second Node
Server Node or Drive Expansion
or PCIe Expansion
Up to (4) 120GB/480GB/1.6TB SSDs
HW RAID, Hot-Plug, OS/Boot
System I/O Controller (SIOC)
Up to (2) Cisco VIC 1300 on Chip
Power Supply
4 Hot-Pluggable PSUs
*Shown with Single Server Node
and IO Expander
C3260M4 Chassis Configurations
Dual-Node 3260M4 Single-Node 3260M4
Single-Node 3260M4
with IO Expander
Single-Node 3260M4
with 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 technologies
Shipping 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 µs
PCIe/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 Controller
PCIe - 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
Hyperconverged
Infrastructure
Converged
Infrastructure
Unified Management
Single Control Plane
Single API
Edge Cloud
ROBO
UCS C3000
Series
Fourth Generation
UCS
HyperFlex 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,
Monolithic
Abstracted,
Variable Ratio,
Composable
Nexus UCS
ACI
System 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-Core
Server
Virtualization
Storage
VirtualizationSANPC Server
Network
Virtualization
IT, Apps and Infrastructure are Evolving
Mainstream Applications
Converged Infrastructure
Pre-Assembled
VM VM VM VM VM
SDS
Composable
Infrastructure
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 Out
Virtualized & Bare Metal
Converged
Infrastructure
Hyper Converged Composable
Infrastructure
+ + +
Cisco Unified Computing System
Virtual SAN
Cisco System Link Technology
UCS M-Series
Extensible Control Plane
&
Comprehensive API
Consistent Infrastructure
Management
&
Broad Interoperability
Architectural Flexibility
&
Future Proofed IT
DevOps Style IT
Traditional IT Models
Cisco hyperflex software defined storage and ucs unite

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Cisco hyperflex software defined storage and ucs unite

  • 2. 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
  • 3. We witnessing a major shift Consolidation Virtualization IT as a Service Hybrid Cloud TRADITIONAL DATA CENTER 2000 2008 2015 ADOPTION CURVE The Next 5+ years We are here Simplicity Agility Standardization DISTRIBUTED CLOUD DATA CENTER Automation
  • 5. 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
  • 6. 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%
  • 7.  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
  • 8. 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 Billions 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
  • 9.  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
  • 10.  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 VM VM VM VM Local Physical Storage Hypervisor Controller VM VM VM VM Local Physical Storage Hypervisor Controller VM VM VM VM Local Physical Storage Hypervisor
  • 11. • 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?
  • 12. 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
  • 13. 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
  • 14. Cisco UCS HyperConvergence Strategy CustomerNeeds Scale Speed Simplicity TechnologyOptions 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 CiscoStrategy Flexibility of Deployment Options Best Technology Choice Comprehensive Validated Designs Timed with Market Demand Simplicity, Speed, Scale + Choice of Storage
  • 15. 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
  • 16. Cisco HyperFlex Configurations HX240c Cluster Capacity-heavy 3–8 Node Cluster (VSI: IT/Biz Apps, Test/Dev) Per-Node 1x1.6TB 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-Node 1x480 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 Rack B200 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 UCS C220 M4 Intel Inside XEON Console! C220 M4 ! Intel Inside XEON UCS C240 M4 Console UCS-HDD300GI2F105 15KSAS 300GB ! 1 6 12 18 24 UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! UCS-HDD300GI2F105 15KSAS 300GB ! C240 M4 B200 M4
  • 17. 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
  • 18. Integrated Management and Data Services Dynamic Data Distribution Continuous Data Optimization Independent Scaling of Compute and Capacity HyperFlex Design Principles
  • 19. Building on the Right Foundation Cisco 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
  • 20. 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
  • 21. Cisco HyperFlex and UCS Running 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
  • 22. Cisco HyperFlex and External Storage Connecting 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
  • 23. 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
  • 24. • 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
  • 25. • 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
  • 26. Cloud-Scale Changes need for Storage Core Enterprise Workloads Cloud Scale Traditional Storage Server Single Server Unstructured Date Store Single Application SCM ERP/ Financial Legacy CRM Email Social Media Email Video Backup Archive Cloud Storage SAN/NAS
  • 27. 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
  • 28. UCS Compute Portfolio Performance 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 RackBlade 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 Critical Enterprise Performance
  • 29. UCS C3260M4 Chassis Architecture Drives 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 FAN 8 Hot-Pluggable Fans Server Node Up to (2) Based on Intel V4 CPUs, LSI 12G RAID, Up to 512GB DDR4 RAM (1024GB Post-FCS), and NVMe Optional Second Node Server Node or Drive Expansion or PCIe Expansion Up to (4) 120GB/480GB/1.6TB SSDs HW RAID, Hot-Plug, OS/Boot System I/O Controller (SIOC) Up to (2) Cisco VIC 1300 on Chip Power Supply 4 Hot-Pluggable PSUs *Shown with Single Server Node and IO Expander
  • 30. C3260M4 Chassis Configurations Dual-Node 3260M4 Single-Node 3260M4 Single-Node 3260M4 with IO Expander Single-Node 3260M4 with Disk Expander Server Node 2 Server Node 1 Server Node 2 Empty Server Node 2 IO Expander HDD Expander Server Node 1
  • 32. • 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
  • 33. 2016-2018 server-side storage technologies Shipping 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 µs PCIe/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
  • 34. 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
  • 35. UCS – In-Server Storage Options SATA SSDHDD SAS SSDHDD NVMe SSD RAID Controller RAID Controller PCIe - Direct to CPU (just like Fusion io) - Performance + Small Form Factor (SFF) – 2.5” SFF – 2.5” HHHL SFF – 2.5”
  • 36. Mainstream Computing Scale Out Cisco UCS: Platform for All Architectures Hyperconverged Infrastructure Converged Infrastructure Unified Management Single Control Plane Single API Edge Cloud ROBO UCS C3000 Series Fourth Generation UCS HyperFlex Systems UCS Mini E-Series C-Series Rack Servers UCS Integrated Infrastructure Solutions Single Operational Model UCS Manager UCS Director Enterprise Cloud Suite
  • 38. Orchestration Granularity Programmability Scalability Physical, Fixed Ratio, Monolithic Abstracted, Variable Ratio, Composable Nexus UCS ACI System 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-Core Server Virtualization Storage VirtualizationSANPC Server Network Virtualization
  • 39. IT, Apps and Infrastructure are Evolving Mainstream Applications Converged Infrastructure Pre-Assembled VM VM VM VM VM SDS Composable Infrastructure 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
  • 40. 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
  • 41. Cisco Infrastructure for Future Proofed IT Traditional IT DevOps Style ITAutomation Scale up & Scale Out Virtualized & Bare Metal Converged Infrastructure Hyper Converged Composable Infrastructure + + + Cisco Unified Computing System Virtual SAN Cisco System Link Technology UCS M-Series Extensible Control Plane & Comprehensive API Consistent Infrastructure Management & Broad Interoperability Architectural Flexibility & Future Proofed IT DevOps Style IT Traditional IT Models