Hyper-Converged Computingd2zmdbbm9feqrf.cloudfront.net/2016/anz/pdf/BRKCOM-2601.pdf(Server Virtualisation; IT/Biz Apps, Test/Dev) HX240c + B200 Hybrid Compute-heavy ... HCI Platforms

Hyper-Converged Computing

Chris Dunk, Senior Technical Marketing Engineer

• Hyperconverged and Software Defined

• SdS Architecture types and technology

• Introducing Cisco HCI Solution

• Cisco HCI Solution Overview

• HCI Use cases and positioning

Agenda

Cisco Integrated Infrastructure

Integrated Infrastructure

Fast Deployment

Minutes not days

Management and

Operation Simplicity

Intuitive UI

Simple Elasticity

Modular scale

Cost Efficiency

Predictable step growth

Minimise Risk

Validated designs

Any Workload

Mission critical apps

Flexibility

Virtualised and bare metal

Scale in Any Dimension

Building blocks

HyperConverged

SIMPLICITY

SPEED

SCALE

(Increasing Overlap)

Market Trends – Convergence and Automation

Cisco UCS: Platform for All Architectures

Converged InfrastructureCisco UCS

Hardware Abstracted

Policy Driven

Open and Programmable

UCS Mini

Mainstream Computing

Fourth Gen UCS

UCS C3000 Series

UCS M-Series

Modular Servers

Scale Out Computing

Hyperconverged Systems

Software Defined Storage Defined

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

• Consists of the Storage Tier Only

• Emphasises storage services such as deduplication or replication, instead of storage hardware

• A shared pool that runs on commodity hardware

• Utilises Policy Based Management

• Often referred to as Storage Virtualisationand is part of a bigger industry trend of Software Defined Data centre

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 utilisingSoftware Defined Storage

• Tight integration of x86 servers for compute and storage, networking and virtualisation 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

• Centralised management, intuitive UI

• Storage presentation via a distributed filesystemor object store

Definition: What is Hyperconvergence?Controller

VMVM VM VM


Hypervisor

Controller

VMVM VM VM


Hypervisor

Controller

VMVM VM VM


Hypervisor

The Promise of Hyperconverged Systems

Efficient

Adaptable

Deploy at Cloud Speed

Instantly Provision, Clone or Snapshot Applications

Flexible DeploymentVariety of Configurations to Handle Diversified Set of Workloads

Scale-As-You-GrowAdd Resources Non-Disruptively and Scale Performance Linearly in Small Increments

Agile

Hyperconvergence

Fast Time to MarketSimplicityFirst Gen HCI

Hyperconvergence

Gaps

Fast Time to MarketSimplicity

New Management SilosInefficient Scaling

and Data OptimisationLimited App Performance

and Workload Support

First Gen HCI

Gaps New Management SilosInefficient Scaling

and Data OptimisationLimited App Performance

and Workload Support

IT Is Looking for a Better Answer

Requirements

Fast Time to MarketSimplicity

Agility

Simplicity+

Integration with Existing Data Centre

Easy Scaling+

Resource Efficiency

Existing Apps+

Next Gen

AdaptabilityEfficiency

First Gen HCI

• Competing for mind-share with traditional Integrated Infrastructures – many customers are now looking more closely after VMware market validation

• Companies like Nutanix, Simplivity, VMware are selling complete, supported, all-in-one appliances with message of simplicity/scale

• New projects like VDI allow customers to try new solutions like Hyperconverged in the name of cost-savings, while keeping segregated

• Software-Defined Storage (SDS) is a good fit for certain customer requirements (i.e. ROBO). Cisco has partnership examples at large customers

Hyperconverged Market

• Vendors generally saying the same thing – ease of scaling, simple to deploy/size, lower cost vs. SAN

• There are a lot of discrepancies here and Cisco is doing our homework to separate fact from fiction

• Reality is two main tiers exist – those that are trying to replicate enterprise storage and those who are simply SDS software serving a purpose like retail/VDI – Cisco will play in both

• Many limitations exist outside of vendor designed test plans/POC in areas of data integrity, management, scaling and performance

• NOT one-size-fits-all. Does not solve every business need. Cost savings are often inflated

Disruptive Reality

Customer Criteria Converged HyperConverged

Compute, Storage, Network, Server Virtualisation 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

Software Defined Storage Benefits

• Most solutions offer quick deployment and cluster setup

• Simple to scale clusters

• Easy for VM administrators to use – no prerequisite SAN expertise needed

• Dashboards and built-in analytics are comprehensive and easy to understand

• Built in VM storage utilisation visibility and control

• Most offerings have all required advanced storage services• Dedupe, compression, backup, replication, VAAI clone, optimised snapshots

Software Defined Storage Considerations

• Emerging market space does not have the maturity yet, lack of confidence in

deploying enterprise applications

• Hype vs real benefits

• Independent compute and storage scaling, many solutions require purchase

of compute, storage and more software as an appliance

• Mixed workloads with larger active VMs results in dramatic drops in

performance levels –results in requiring more HW nodes

• No Mix and Match – Vendor lock-in

• Traditional SAN arrays offer much higher performance levels and are

changing as well

• As cluster grows the TCO and acquisition cost may surpass most converged

infrastructure offerings

SdS and Hyperconverged Architecture Types

Hyperconverged Architectures

Storage

Controller

VM

VM VM VM


Hypervisor

Storage

Controller

VM

VM VM VM


Storage

Controller

VM

VM VM VM


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

• Examples: Simplivity, Nutanix, Maxta,

Springpath

Hypervisor

Hypervisor

Hyperconverged Architectures – Kernel Based

VM VM VM


VM VM VM


VM VM VM


Filesystem Storage Pool

• Storage SW integrated into Hypervisor

Kernel


• Reduced resource overhead

• Hypervisor host presented with an NFS

Datastore

• VMware VSAN; Gridstore

HypervisorStorage

Controller

SW

Hypervisor

HypervisorStorage

Controller

SW

Storage

Controller

SW

Software Defined Storage Architectures

Storage

Controller

VM

VM VM VM


Hypervisor

VM VM VM

Storage Controller Software


BlockStorage Pool

• Software Defined Storage 2 ways for

deployment

• VM controller on hypervisor host

• Controller bare metal installation


• Storage is presented via iSCSI LUN or

NFS

• ScaleIO, Datacore, Stormagic, Atlantis

Operating System

Hypervisor

Storage

Controller

VM

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

• Typical cluster scale 8 to 64 nodes

• 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%

• Most platforms requires min 5 nodes

HCI Data High Availability

VM

Replicate

Write IO

• Replication factor

• Fast rebuild time

• Simple technology

• Consumes large amounts of capacity

• Erasure Coding

• RAID like protection (5 or 6)

• More usable capacity

• Overhead is high for low number of nodes, need to have larger clusters to get full benefits of capacity efficiency

• Many vendors building proprietary versions

Data Replication vs Erasure Coding

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

Cisco HyperFlex SystemsHX-Series

Cisco HyperFlex Systems

1 Complete Hyperconvergence

Unified Compute and

Network Infrastructure Wide Array of Rack and Blade Form Factors

Integrated, High

Performance

Network Fabric

Automated

Management of all

Hardware

Virtualisation

Aware

Cisco UCS: The Ideal System for Hyperconvergence


1 Complete Hyperconvergence

Unified Compute and

Network InfrastructureCisco HyperFlex

Cisco HX Data Platform

Data Services and Storage Optimisation

2 Next Gen Data Platform

Designed for

Distributed Storage


1

3

Complete Hyperconvergence

Unified Compute and

Network Infrastructure

Part of a Complete Data Centre StrategyElastic and Secure at Enterprise Scale

Cisco HyperFlex

Cisco HX Data Platform

Data Services and Storage Optimisation

2 Next Gen Data Platform

Designed for

Distributed Storage

Cisco One

Enterprise Cloud SuiteCisco ACI

HyperFlex Portfolio

HX220c Nodes

Smallest footprint

3-8 Node Cluster

(VDI, ROBO)

HX240c Nodes

Capacity-heavy

3-8 Node Cluster

(Server Virtualisation; IT/Biz

Apps, Test/Dev)

HX240c + B200 Hybrid

Compute-heavy

(CPU bound apps; VDI)

Ω Cisco UCS Fabric

Interconnects

Easy to Buy,

Deploy, Scale

• 3 base cluster

options and full

configure to order

• Annual

subscription

software model

• Factory integration

of HW/SW

including VMware

vSphere options

• Single call, WW

Cisco support

HyperFlex Key Customer Benefits

Efficient

AdaptableScale-As-You-Grow

AdaptiveScaling

Non-Stop Infrastructure

Built on the UCS Platform

FlexibleDeployment

Always-on Data Optimisation

CompleteHyperconvergence

IntuitiveManagement

CloudSpeed

All 3 Layers of Network, Compute

and Storage Intelligently Integrated

Into a Single Solution for <30 Minute

Deployment

Eliminate Infrastructure Silos and Use

Existing Management Tools to Manage

and Automate Operations

Instantly Provision, Clone or Snapshot Applications

Unified Management Using Existing

Skillsets in the Organisation

Variety of Configurations to Handle

Diversified Set of Workloads

Inline Dedupe and Compression Ensuring Hyper-Efficient Resource Utilisation

Add Resources Non-disruptively

and Scale Performance Linearly

in Small Increments

Scale Compute or Capacity to Match

Application Needs

Self-Healing Fabric Based Hyperconvergence with Cloud Monitoring

Agile

HyperFlex Differentiation

Break Down Silos

Simplify Management

Networking Integration

AdaptableEfficientAgile

Deploy the Entire System Faster, Not Just Computing and Storage

Standardise Your Configurations and Apply Across All Your HCI Platforms

Manage in the Same Way You Manage Your UCS Blade Servers, Rack Servers and Converged Infrastructure Solutions

Use Cases

Primary HyperFlex Use Cases

• Agile provisioning

• Frequent iterations

• Instant cloning and snapshots

Test and Development

• Low upfront costs

• Consistent performance

• Predictable scaling

Virtual Desktop Infrastructure

• Reduce operational complexity

• Adaptive scaling

• Always-on resiliency

Server Virtualisation

• Simple deployment

• Centralixedmanagement

• No “fly-and-fix” missions

Large RemoteBranch Office

Cisco HyperFlex Systems Deployment

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

HyperFlex Deployment WorkflowCustomer Onsite

Download HX Data Platform/UCSM bundle from Cisco.com

HyperFlex Installer: UCS Configuration• Auto-config. of UCSM policies and core templates• Instantiate and assign Service Profiles

Configure ESX pre-requisites (manual)• Set static IP Address for ESXi hosts• Add hosts/datacentre/cluster to vCenter

HyperFlex Installer: HX Data Platform Cluster Creation

UCS Integrated HyperFlex Networking

Shipped From Factory With Integrated Networking

High Performance, Flat and Predictably Latent Fabric

Simplified Network Deployments• No specialised protocol

requirements such as IPv6, Multicast

Plug and Play Networking with UCS Unified Fabric

Reduced Complexity, Simplified Decision Making and Deployment

CVM DataPort GroupData vSwitch

CVM Mgmt Port GroupManagement vSwitch

Predefined DC Network Policies

CONTROLLER VM CONTROLLER VM CONTROLLER VM CONTROLLER VM

UCS: Embedded AutomationRapid Deployment of HyperFlex with Service Profiles

Uplink port configuration,

VLAN, VSAN, QoS, and

EtherChannels

Server port configuration

including LAN and SAN

settings

Network interface card (NIC)

configuration: MAC address,

VLAN, and QoS settings;

host bus adapter HBA configuration:

worldwide names (WWNs), VSANs,

and bandwidth constraints;

and firmware revisions

Unique user ID (UUID),

firmware revisions,

and RAID controller settings

Service profile assigned to server,

chassis slot, or pool

configuration: MAC

address,


host bus adapter HBA

configuration:

worldwide names (WWNs),

VSANs,

configuration: MAC

address,



configuration:


VSANs,

configuration: MAC

address



configuration:


VSANs,

Application Profiles

Virtualisation Policy

Network Policy

Storage Policy

Server Policy

Storage SMENetwork SMEServer SME

1Subject Matter Expert

Define Policies 2Policies Used to Create

Service Profile Templates 3Service Profile Templates

Create Service Profiles 4Associating Service Profiles

with Hardware Configures

Servers Automatically

Service

Profile Templates

Pre-Defined at the

Factory for Quick

Deployment

Hyperflex Deployment Factory Automation

HX Servers Will Be Pre-Installed at Manufacturing With the Following Firmware and Software:

UCS 2.2(6f)

ESXi 6.0 U1

HX Data Platform

HX Server CIMC will be Configured in UCSM Mode

UCS 2.2(6f) Is the Minimum Required Version to Support Hyperflex

Newer UCS and HX Data Software Versions Will be Installed When they Are Qualified

Powered by UCS Platform

Hyperconvergence Meets Unified ComputingHyperFlex HX-Series

HCI Built on Cisco UCS

SystemLinkIntegrated

Compute

Centralised

Management

Optimised for

Virtualisation

Scale Without

Complexity

Low Latency

Physical & Virtual

Data & Management

Proven Performance

Enterprise Reliability

Blades & Rack Mount

Complete HW Abstraction

Policy & Profile Driven

Optimised for Scale

Comprehensive Hypervisor

Integration

Native I/O Virtualisation

Hypervisor Switching in HW

Maintains Single Point of

Management

Self-Integrating

Fewer Components

Unified Management Across UCS Portfolio

UCS Mini

Edge-Scale

ComputingCloud-Scale

Computing

UCS M-Series Composable Infrastructure

UCS B-Series Blade Servers

UCS C-Series Rack Servers

UCS HX Series Nodes

Core Data Centre Workloads

UCS Management

UCS Central Policy-based Management Architecture

• Simplified, centralised management

• Based on UCS Manager, which remains the execution engine

• Global policies are read-only in UCS Manager and are only stored on UCS Manager instances when they are in use

• Local policies are read-only in UCS Central with visibility to all policies in all UCS Manager instances

• Global policies, local policies, or a combination of both may be used at the same time

User

Access

User

Access

Full Two Way

Configuration Changes

With Traceability

Element

Manager

Element

Manager

Element

Manager

UCS

Manager

UCS Central

Cisco UCS HyperFlex Security

Hyper Flex

Security

Integrated

Protection

Dynamic Control

Unmatched Agility

Through a pervasive, policy-driven approach

Resource

lifecycle

Provisioning Spin up Security at the Same

Time as Other Resources

MonitorEnforce Policy Automatically,

Even When Workloads Move

DecommissionRemove Associated Rules and

Policies Automatically

Cisco HyperFlex with Cisco ACI

HXCONTROLLER

HYPERVISOR/CONTAINER

Web App DB AppWeb

HXCONTROLLER


Web App DB AppApp

HXCONTROLLER


App App DB WebWeb

EPG EPG EPG EPGEPG EPG

EPG EPG EPG

EPG EPG EPGEPGEPG EPG EPGEPG EPG

Web Web Web AppWeb

EPG EPG EPG EPGEPG

Diverse Workload Deployments at Enterprise Scale

HX DATA PLATFORM

Simplified Capacity Expansion

HXCONTROLLER


EPG

HX DATA PLATFORM

Web App App DBDB

EPGEPG EPGEPGEPG

EPG

HXCONTROLLER



Automated,

Application Centric

Policy Model

Flexible

Application

Service Policies

Elastic Infrastructure

CONTROLLERHYPERVISOR CONTROLLERHYPERVISOR

Hyperconverged Data Platform

Cisco ONE Enterprise Cloud Suite

PublicCloud

Cisco HyperFlex

SeriesAgile and Efficient

Infrastructure

Capacity

Augmentation in

AWS and Azure Leverage Public Cloud to

Manage Peaks

Back Up and Async DR

VM VMVM

VM VMVM

VM VMVM

VM VMVM

CONTROLLERHYPERVISOR

VM VMVM

VM VMVM


Cisco HyperFlex SystemsAdaptable Infrastructure

Adaptive Scaling

on PremAdaptive Scaling

to Public Cloud

PublicCloud

“Out of the Box” Hybrid CloudCisco HyperFlex with Cisco Enterprise Cloud Suite and Cisco ACI

IaaSNative Secure Cloud

SegmentationHybrid Cloud

1. Factory configured Cloud ready Infrastructure and Management SW

2. Complete infrastructure automation including HX

Create/edit/delete data store

Add capacity—nodes / discs to existing node

3. Rich API set for PaaS integration

1. Default micro segmentation with best in class virtual services

2. HX controller created in secure zone w/ Distributed Firewall

3. Micro segmentation w/ ACI infrastructure

1. Capacity Augmentation

with consistent policy to

manage peaks

Deploying enterprise workloadin cloud

2. Back Up and Async DR

Cisco HX Data Platform Overview

Integrated Management and

Data Services

Dynamic Data Distribution

Continuous Data Optimisation

Independent Scaling of Compute and Capacity

Real Innovation

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


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


VM VM VM


VM VM VM


VM VM VM


VM VM VM

Software Modules Inside a Server


VM VM VM

HYPERCONVERGED DATA PLATFORMHYPERCONVERGED DATA PLATFORMHYPERCONVERGED DATA PLATFORMHYPERCONVERGED DATA PLATFORM


VM VM VM


VM VM VM


VM VM VM


VM VM VM

Controller VM Has Direct Access to Drives

VAAI Plugin Offloads Snapshots and Clone Operations

IO Visor Module Presents NFS to ESX and Stripes IO

DATASTORE/VOLUME

CONTROLLER

VMHYPERVISOR

VMVMVMVMVM

HDD

HDD

SDD

SDD

IO Visor

VAAI

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 Optimisation

(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

Unique

Architecture

Independent Scaling of Compute and Capacity

Scale Compute

HX Data Platform

Add NodesScale Capacity Within Nodes

HX Data Platform

CONTROLLERHYPERVISORCONTROLLERHYPERVISOR CONTROLLERHYPERVISOR CONTROLLERHYPERVISOR

IOVisorIOVisor

IOVisorIOVisor

IOVisorIOVisor

IOVisorIOVisor

VM VM VM VM

Non-HyperFlex Hosts Can Connect to

Storage with IOVisor

VM VMVM VM VMVM VM VMVM VM VMVM

Independent Scaling of Compute (Blades) and Storage Capacity (Rack Servers)

HX

DA

TA

PL

AT

FO

RM

B200 M4 Blades

Connect Existing Blades for Compute

Add More Blades for Scaling Compute

Add HYPERCONVERGED

Rack Servers

Start with HYPERCONVERGED Rack

Servers (Compute + Storage Capacity)

Dynamic Data Distribution

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

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

Systems built on conventional file

systems write locally, then replicate,

creating performance hotspots

CONTROLLERHYPERVISORHYPERVISOR CONTROLLERHYPERVISOR CONTROLLERHYPERVISOR

VM VMVM VM VMVM VM VMVM

HX Data Platform

VM VMVM

CONTROLLERCONTROLLER

…and Efficient Capacity and Network Utilisation

HYPERVISOR HYPERVISOR HYPERVISOR

VM VM

1 2 3

VM

DATASTORE

CONTROLLER CONTROLLER CONTROLLER

Balanced Space UtilisationNo 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 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

Non-Disruptive Operations

DATASTORE DATASTORE

• Stripe blocks of a file across servers

• 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 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

Data Protection and High AvailabilityData 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 ProtectionCan 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

Continuous Data Optimisation

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 Optimisation

Integrated Management and Data Services

• Clones and snapshots are pointer-based and space-efficient

• Creation and deletion do not impact performance

• 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

Fast and Flexible Native Snapshots for Backups

• Pointer-based snapshots

• Space-efficient

• 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, retention period

Native VM Clones for Rapid Provisioning

• Batch creation GUI

• Apply unique names

• Use customisation 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

• Pointer-Based Writeable Snapshots (Instantaneous Clones)

• VAAI integrated

• VM-level granularity

Management Built for Server Admin100% vCenter-Based Management

• Extends virtualisation

management seamlessly

• No switching between

management consoles

• View storage alerts/alarms alongside

with ESX alerts/alarms

• Command line interface for automation

vCenter Plug-in: HX Data Platform Summary

vCenter Plug-in: Datastore Provisioning

Capacity Reporting in UI

• Capacity: Total formatted with RF

• Free: unused capacity

• Total Savings:Combined % savings of dedup+comp

• Compression: % recovered from compression

• Deduplication: % recovered from deduplication

• Provisioned Capacity:Amount of space allocated in DS

• Thin provisioned

• Used Capacity:Total of physical space consumed in DS

• Available Capacity: Provisioned minus Used

Cloud-based auto-support

Daily reports

Periodic heartbeats

Instant alerts on critical events

Cluster visibility

Support use cases

Real-time monitoring for critical events

Proactive and advanced warning

Preliminary troubleshooting and investigation support cases

Access currently limited to support

Cloud-Based Monitoring and Analytics

Infrastructure for Next Generation Hyperconvergence

HCI Solutions Combine Computing, Networking, Storage for rapid

deployment

Elimination of management silos within and between data centres

and remote sites simplify operations

Unique capacity scaling and pricing models allow you to scale as you

grow

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Documents

Hyper-Converged Computingd2zmdbbm9feqrf.cloudfront.net/2016/anz/pdf/BRKCOM-2601.pdf(Server Virtualisation; IT/Biz Apps, Test/Dev) HX240c + B200 Hybrid Compute-heavy ... HCI Platforms