TechTalk Webinar:
รู้จ ักก ับ
Hyperconverged
Infrastructure พร้อม
ชม Live Demo จาก
Cisco ประเทศไทย
The Innovation Interval Is Compressing
1960 1970 1980 1990 2000 2010 2020
WEB
STORAGE
VIRTUALIZATION
CLIENT
SERVER
SERVER
VIRTUALIZATION
DISTRIBUTED
COMPUTING
CONVERGED
INFRASTRUCTURE
MAINFRAME MINICOMPUTER
HYPERCONVERGED
SOFTWARE DEFINED X
DISAGGREGATED
COMPUTING,
SILICON PHOTONICS
What Is Hyperconvergence?
Hyperconvergence On-Demand
Agile
Efficient
Simple
Scalable
EnterpriseReady
Cost Effective
+
+
+
+
+
+
+
CPU
MEM
CPU
MEM
NO LEGACY STORAGE CONTRUCTS
APP APP APP APP APP
•••••••
HYPERCONVERGENCE
SERVERS
1-3yr Planned
Large Footprint
Inefficient
Complex
SERVER VIRTUALIZATION
APP APP APP APPOn-Demand
Agile
Efficient
Simple
Vendor E Vendor N Vendor P
••••••••••••
•••••••••••••••
+
+
+
+
–
–
–
–
TraditionalNAS
CPU
MEM
HybridStorage
AllFlashStorage
CPU
MEM
CPU
MEM
CPU
MEM
APP
Traditional Approach
STORAGE
• The programming that controls the storage
is decoupled from the physical hardware
• Consists of the Storage Tier 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. Packaging
• Integration of hypervisors and physical
infrastructure
• Simple Scale one unit/appliance at a time
• Simple deployment measured in hours
• Centralized management, intuitive UI
• Storage presentation via a distributed
filesystem or object store
Definition: What is Hyperconvergence?
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
Hyperconverged Architectures
Storage
Controller
VM
VM VM VM
Local Physical Storage
Hypervisor
Storage
Controller
VM
VM VM VM
Local Physical Storage
Storage
Controller
VM
VM VM VM
Local Physical Storage
Filesystem Storage Pool
• Storage VM installed on Hypervisor Host
• Storage Controller Virtual Machines have
direct access to all physical storage
• Pool local storage for distributed capacity
• Hypervisor host presented with an NFS
Datastore
Hypervisor
Hypervisor
Market Shifting Towards Server-Based
Ecosystem
$45,000
$40,000
$35,000
$30,000
$25,000
$20,000
$15,000
$10,000
$5,000
$0
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027
Traditional
Network
Storage
Hyperconverged &
Converged
Infrastructure
Wikibon predicts a $15B market
by 2020, growing to $38B in the
next 12 years
Most growth come from
traditional network storage
upgrades
Significant net-new revenue to
Cisco data center business
~$1B ~$15B Source: Wikibon Server
SAN Research 2014
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 ManagementSoftware 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
โครงสร ้าง HyperConverged
HCI Architectures
Hypervisor
VM
Hypervisor Datastore
Storage Software
• Min of 2-3 nodes in a cluster providing storage
• Hardware to be similar with equivalent drive technology
• Scale 8 - hundreds of nodes (most support up to 64)
• Disks: Locally attached disks
o Hybrid: spinning disks and flash devices
o All-Flash: Flash devices only
• Network
o 1GB Ethernet OR
o 10GB Ethernet (preferred)
• “Witness” node acts as tie-breaker during availability
decisions
Storage Network
Data Tiering
• All data ingested goes through SSD caching tier
• SSD caching for read and write
• Allocation varies by vendor
• Writes are committed replicated and
acknowledged at the SSD cache tier
• Data is moved from SSD cache to spinning drives
• Time spent in cache is vendor specific
• Performance is impacted when SSD tier is
flooded with heavy IO
• Cache misses
• Some vendors also use Memory Caching
• Moving data closer to the processor
• More performance
VM
Write
Typical best practice is to
have a 10:1 ratio of HDD to
SSD capacity
• Data is protected by Replication or Erasure Coding
• Most SdS/HCI stacks use replication but more are switching
• Replication factor min of 2
• Cost is 50% of disk capacity
• Every block is written to min of 2 different nodes in the cluster
• Can survive a single node/device failure
• Higher device protection requires more replication
• RF3 reduces RAW disk capacity to 33%
• Requires min 5 nodes
HCI Data High Availability
VM
Replicate
Write IO
Network Considerations
• Many solutions require Multicast and IPv6 for node
discovery and scale out
• Multicast used for exchanging metadata and storage
network heartbeats
• Redundant 10Gb networking required for storage data
• Management/VM networking separate from storage
network
• Density solutions will require a large number of 10Gb
uplink ports
• Direct access to switches for low latency storage
communication
Hyperconvergence Target Use-cases
Cisco HyperFlex Systems
HX240c Nodes
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)
HX240c + B200
for HF Hybrid Nodes
Compute-heavy Hybrid
(Compute Bound Apps/VDI)
Up to 4 Blades
SD Card or SAN (Boot)
3-8 Node HX240c Cluster
HX220c Nodes
Smallest Footprint 3–8 Node
Cluster (VDI, ROBO)
Per-Node
1x480 GB Cache SSD
6x1.2TB HDDs
SD Card/120GB SSD
(Boot/Housekeeping)
Bundles and
Configure to Order
Annual Subscription
Software Model
Integrated
with vSphere
Hyperconvergence Meets Unified Computing
HyperFlex HX-Series
Cisco HX Data Platform
Overview
Next Generation Data Platform
Custom Built, Log Structured File System with Flash, Dedup and Compression as Foundational Elements
Independent Scaling and
Scale Out Architecture
Predictable,Pay-as-You-Grow Efficiency
Enterprise Storage Features
Pointer-Based Snapshot
Near Instant Clones
Inline dedup and compression
Enterprise Data Protection
Highly Available/Self-Healing
Single Button Non-Disruptive Rolling Upgrades
Call Home and Onsite 24x7 SupportAvailable
Single Point of Management
Integrated into vCenter
RobustReporting and Analytics
The HX Data Platform Node
VAAI Plugin offloads
snapshots and clone
operations
Controller VM has
Direct access to drives
IOVisor Module Presents NFS
to ESX and Stripes IO
DATASTORE/VOLUME
CONTROLLER
VMHYPERVISOR
VMVMVMVMVM
HDD
HDD
SDD
SDD
IOVisor
VAAI
Hyperconverged Scale Out and
Distributed File System
CONTROLLER
VMHYPERVISOR
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
Linearly Scale
Compute,Storage
Performance,
and Capacity
Distribute and
Rebalance Data
Across Servers
Automatically
Retire Older
Servers
HYPERCONVERGED DATA PLATFORM
CONTROLLER
VMHYPERVISOR
VM VM VM
CONTROLLER
VMHYPERVISOR
VM VM VM
CONTROLLER
VMHYPERVISOR
VM VM VM
CONTROLLER
VMHYPERVISOR
VM VM VM
Independent Scaling of Compute
and Capacity
Scale
Compute
HX Data Platform
Add NodesScale Cache or Capacity Within Nodes
HX Data Platform
CONTROLLERHYPERVISORCONTROLLERHYPERVISOR CONTROLLERHYPERVISOR CONTROLLERHYPERVISOR
IOVisorIOVisor
IOVisorIOVisor
IOVisorIOVisor
IOVisorIOVisor
VM VM VM VM
Non-
HyperFlex
Hosts Can
Connectto
Storage with
IOVisor
VM VMVM VM VMVM VM VMVM VM VMVM
Fast and Easy Installation
STEP 0
STEP 1
60 MINUTES
OR LESS
VMware and HX Data
Performance Software
Installed on Servers at
Factory/Reseller Before
Shipping to Customer
Rack Up Servers, Power
on, and Add to vCenter
Drag and Drop
Configuration (JSON) File
Create, Cluster,
and Datastore
Start Provisioning VMs
Demo Time
Management Built for Server Admin
• 100% VCenter Based Management
• Extends virtualization management seamlessly
• No switching between management consoles
• View storage alerts/alarms alongside with ESX alerts/alarms
• Command line interface for automation
Continuous Data Optimization
BEFORE
Inline Deduplication
20–30% space savings
Inline Compression
30–50% space savings
No Special Hardware
No Performance Impact
Log-Structured File System Yields More Efficient Data Optimization
Demo Time
Data Protection and High Availability
Data Protected by Replication of Data Across the Cluster Nodes
VM
Replicate
Write IO
Replication Factor = 3 Replication Factor = 2
Default Is Replication Factor = 3 Set at Cluster Creation Time
Every Block Is Written to 3 Different Nodes in the Cluster Every Block Is Written to Min of 2 Different Nodes in the Cluster
Higher Availability to Survive Multi-Point Failures;
Higher Device Protection
Can Survive a Single Node/Device Failure
Reduces Raw Disk Capacity to 33% More Usable Capacity; Uses 50% of Raw Disk Capacity
Access Policy Is Strict (Default); Can Be Modified Via CLI Access Policy Is Lenient
HYPERVISOR
…and Efficient Capacity and
Network Utilization
HYPERVISOR HYPERVISOR
VM VM
1 2 3
VM
DATASTORE
CONTROLLER CONTROLLER CONTROLLER
Balanced Space Utilization
No Data Migration on VM Migration
Less Stress on Network
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
MovementRequired
ReplacementNode 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
Demo Time
Infrastructure for Next Generation
Hyperconvergence
HCI Solutions Combine Computing, Networking, Storage for rapid
deployment
Elimination of management silos within and between data centers
and remote sites simplify operations
Unique capacity scaling and pricing models allow you to scale as you
grow
Cisco HyperFlex Systems
Complete
Hyperconvergence
Future Ready
Architecture
Next Generation
Software Defined
Storage
Q&A

TechTalkThai-CiscoHyperFlex

  • 1.
    TechTalk Webinar: รู้จ ักกับ Hyperconverged Infrastructure พร้อม ชม Live Demo จาก Cisco ประเทศไทย
  • 3.
    The Innovation IntervalIs Compressing 1960 1970 1980 1990 2000 2010 2020 WEB STORAGE VIRTUALIZATION CLIENT SERVER SERVER VIRTUALIZATION DISTRIBUTED COMPUTING CONVERGED INFRASTRUCTURE MAINFRAME MINICOMPUTER HYPERCONVERGED SOFTWARE DEFINED X DISAGGREGATED COMPUTING, SILICON PHOTONICS
  • 5.
    What Is Hyperconvergence? HyperconvergenceOn-Demand Agile Efficient Simple Scalable EnterpriseReady Cost Effective + + + + + + + CPU MEM CPU MEM NO LEGACY STORAGE CONTRUCTS APP APP APP APP APP ••••••• HYPERCONVERGENCE SERVERS 1-3yr Planned Large Footprint Inefficient Complex SERVER VIRTUALIZATION APP APP APP APPOn-Demand Agile Efficient Simple Vendor E Vendor N Vendor P •••••••••••• ••••••••••••••• + + + + – – – – TraditionalNAS CPU MEM HybridStorage AllFlashStorage CPU MEM CPU MEM CPU MEM APP Traditional Approach STORAGE
  • 6.
    • The programmingthat controls the storage is decoupled from the physical hardware • Consists of the Storage Tier 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
  • 7.
    • New ConvergedInfrastructure offering utilizing Software Defined Storage • Tight integration of x86 servers for compute and storage, networking and virtualization in all-in-one appliance. Packaging • Integration of hypervisors and physical infrastructure • Simple Scale one unit/appliance at a time • Simple deployment measured in hours • Centralized management, intuitive UI • Storage presentation via a distributed filesystem or object store Definition: What is Hyperconvergence? 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
  • 8.
    Hyperconverged Architectures Storage Controller VM VM VMVM Local Physical Storage Hypervisor Storage Controller VM VM VM VM Local Physical Storage Storage Controller VM VM VM VM Local Physical Storage Filesystem Storage Pool • Storage VM installed on Hypervisor Host • Storage Controller Virtual Machines have direct access to all physical storage • Pool local storage for distributed capacity • Hypervisor host presented with an NFS Datastore Hypervisor Hypervisor
  • 9.
    Market Shifting TowardsServer-Based Ecosystem $45,000 $40,000 $35,000 $30,000 $25,000 $20,000 $15,000 $10,000 $5,000 $0 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 Traditional Network Storage Hyperconverged & Converged Infrastructure Wikibon predicts a $15B market by 2020, growing to $38B in the next 12 years Most growth come from traditional network storage upgrades Significant net-new revenue to Cisco data center business ~$1B ~$15B Source: Wikibon Server SAN Research 2014
  • 10.
    Customer Criteria ConvergedHyperConverged 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 ManagementSoftware 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
  • 11.
  • 12.
    HCI Architectures Hypervisor VM Hypervisor Datastore StorageSoftware • Min of 2-3 nodes in a cluster providing storage • Hardware to be similar with equivalent drive technology • Scale 8 - hundreds of nodes (most support up to 64) • Disks: Locally attached disks o Hybrid: spinning disks and flash devices o All-Flash: Flash devices only • Network o 1GB Ethernet OR o 10GB Ethernet (preferred) • “Witness” node acts as tie-breaker during availability decisions Storage Network
  • 13.
    Data Tiering • Alldata ingested goes through SSD caching tier • SSD caching for read and write • Allocation varies by vendor • Writes are committed replicated and acknowledged at the SSD cache tier • Data is moved from SSD cache to spinning drives • Time spent in cache is vendor specific • Performance is impacted when SSD tier is flooded with heavy IO • Cache misses • Some vendors also use Memory Caching • Moving data closer to the processor • More performance VM Write Typical best practice is to have a 10:1 ratio of HDD to SSD capacity
  • 14.
    • Data isprotected by Replication or Erasure Coding • Most SdS/HCI stacks use replication but more are switching • Replication factor min of 2 • Cost is 50% of disk capacity • Every block is written to min of 2 different nodes in the cluster • Can survive a single node/device failure • Higher device protection requires more replication • RF3 reduces RAW disk capacity to 33% • Requires min 5 nodes HCI Data High Availability VM Replicate Write IO
  • 15.
    Network Considerations • Manysolutions require Multicast and IPv6 for node discovery and scale out • Multicast used for exchanging metadata and storage network heartbeats • Redundant 10Gb networking required for storage data • Management/VM networking separate from storage network • Density solutions will require a large number of 10Gb uplink ports • Direct access to switches for low latency storage communication
  • 16.
  • 17.
  • 18.
    HX240c Nodes Capacity-heavy 3–8Node 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) HX240c + B200 for HF Hybrid Nodes Compute-heavy Hybrid (Compute Bound Apps/VDI) Up to 4 Blades SD Card or SAN (Boot) 3-8 Node HX240c Cluster HX220c Nodes Smallest Footprint 3–8 Node Cluster (VDI, ROBO) Per-Node 1x480 GB Cache SSD 6x1.2TB HDDs SD Card/120GB SSD (Boot/Housekeeping) Bundles and Configure to Order Annual Subscription Software Model Integrated with vSphere Hyperconvergence Meets Unified Computing HyperFlex HX-Series
  • 19.
    Cisco HX DataPlatform Overview
  • 20.
    Next Generation DataPlatform Custom Built, Log Structured File System with Flash, Dedup and Compression as Foundational Elements Independent Scaling and Scale Out Architecture Predictable,Pay-as-You-Grow Efficiency Enterprise Storage Features Pointer-Based Snapshot Near Instant Clones Inline dedup and compression Enterprise Data Protection Highly Available/Self-Healing Single Button Non-Disruptive Rolling Upgrades Call Home and Onsite 24x7 SupportAvailable Single Point of Management Integrated into vCenter RobustReporting and Analytics
  • 21.
    The HX DataPlatform Node VAAI Plugin offloads snapshots and clone operations Controller VM has Direct access to drives IOVisor Module Presents NFS to ESX and Stripes IO DATASTORE/VOLUME CONTROLLER VMHYPERVISOR VMVMVMVMVM HDD HDD SDD SDD IOVisor VAAI
  • 22.
    Hyperconverged Scale Outand Distributed File System CONTROLLER VMHYPERVISOR 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 Linearly Scale Compute,Storage Performance, and Capacity Distribute and Rebalance Data Across Servers Automatically Retire Older Servers HYPERCONVERGED DATA PLATFORM CONTROLLER VMHYPERVISOR VM VM VM CONTROLLER VMHYPERVISOR VM VM VM CONTROLLER VMHYPERVISOR VM VM VM CONTROLLER VMHYPERVISOR VM VM VM
  • 23.
    Independent Scaling ofCompute and Capacity Scale Compute HX Data Platform Add NodesScale Cache or Capacity Within Nodes HX Data Platform CONTROLLERHYPERVISORCONTROLLERHYPERVISOR CONTROLLERHYPERVISOR CONTROLLERHYPERVISOR IOVisorIOVisor IOVisorIOVisor IOVisorIOVisor IOVisorIOVisor VM VM VM VM Non- HyperFlex Hosts Can Connectto Storage with IOVisor VM VMVM VM VMVM VM VMVM VM VMVM
  • 24.
    Fast and EasyInstallation STEP 0 STEP 1 60 MINUTES OR LESS VMware and HX Data Performance Software Installed on Servers at Factory/Reseller Before Shipping to Customer Rack Up Servers, Power on, and Add to vCenter Drag and Drop Configuration (JSON) File Create, Cluster, and Datastore Start Provisioning VMs
  • 25.
  • 26.
    Management Built forServer Admin • 100% VCenter Based Management • Extends virtualization management seamlessly • No switching between management consoles • View storage alerts/alarms alongside with ESX alerts/alarms • Command line interface for automation
  • 27.
    Continuous Data Optimization BEFORE InlineDeduplication 20–30% space savings Inline Compression 30–50% space savings No Special Hardware No Performance Impact Log-Structured File System Yields More Efficient Data Optimization
  • 28.
  • 29.
    Data Protection andHigh Availability Data Protected by Replication of Data Across the Cluster Nodes VM Replicate Write IO Replication Factor = 3 Replication Factor = 2 Default Is Replication Factor = 3 Set at Cluster Creation Time Every Block Is Written to 3 Different Nodes in the Cluster Every Block Is Written to Min of 2 Different Nodes in the Cluster Higher Availability to Survive Multi-Point Failures; Higher Device Protection Can Survive a Single Node/Device Failure Reduces Raw Disk Capacity to 33% More Usable Capacity; Uses 50% of Raw Disk Capacity Access Policy Is Strict (Default); Can Be Modified Via CLI Access Policy Is Lenient
  • 30.
    HYPERVISOR …and Efficient Capacityand Network Utilization HYPERVISOR HYPERVISOR VM VM 1 2 3 VM DATASTORE CONTROLLER CONTROLLER CONTROLLER Balanced Space Utilization No Data Migration on VM Migration Less Stress on Network
  • 31.
    High Resiliency, FastRecovery 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 MovementRequired ReplacementNode 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
  • 32.
  • 33.
    Infrastructure for NextGeneration Hyperconvergence HCI Solutions Combine Computing, Networking, Storage for rapid deployment Elimination of management silos within and between data centers and remote sites simplify operations Unique capacity scaling and pricing models allow you to scale as you grow
  • 34.
    Cisco HyperFlex Systems Complete Hyperconvergence FutureReady Architecture Next Generation Software Defined Storage
  • 35.