software defined storage - aventri...outlook: software defined storage sds is the key to the “next...

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Software Defined Storage

The New Storage Platform

Anil Vasudeva President & Chief Analyst

IMEX Research

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IT Industry Journey - Roadmap

Integrate Physical Infrast./Blades to meet CAPSIMS ®IMEX Cost, Availability, Performance, Scalability, Inter-operability, Manageability & Security

Integration/Consolidation

Standard IT Infrastructure- Volume Economics HW/Syst SW

(Servers, Storage, Networking Devices, System Software (OS, MW & Data Mgmt. SW)

Standardization

Cloudization On-Premises > Private Clouds > Public Clouds DC to Cloud-Aware Infrast. & Apps. Cascade migration to SPs/Public Clouds.

Virtualization Pools Resources. Provisions, Optimizes, Monitors Shuffles Resources to optimize Delivery of various Business Services

Automatically Maintains Application SLAs (Self-Configuration, Self-Healing©IMEX, Self-Acctg. Charges etc.)

Automation

IT Industry Roadmap by IMEX Research

Analytics – BI

Predictive Analytics - Unstructured Data From Dashboards Visualization to Prediction Engines using Big Data.

3 © 2010-13 IMEX Research, Copying prohibited. All rights reserved.

Enterprise VZ Data Center On-Premise Cloud

Home Networks

Web 2.0

Social Ntwks. Facebook,

Twitter, YouTube… Cable/DSL…

Cellular

Wireless

Internet ISP

Core Optical

Edge ISP

ISP

ISP

ISP

ISP

Supplier/Partner

s

Remote/Branch Office

Public CloudCenter©

Servers VPN IaaS, PaaS

SaaS

Vertical

Clouds

ISP

Tier-3

Data Base

Servers

Tier-2 Apps

Management Directory Security Policy

Middleware Platform

Switches: Layer 4-7,

Layer 2, 10GbE, FC Stg

Caching, Proxy,

FW, SSL, IDS, DNS,

LB, Web Servers

Application Servers

HA, File/Print, ERP,

SCM, CRM Servers

Database Servers,

Middleware, Data

Mgmt

Tier-1

Edge Apps

FC/IPSANs

ScaleOut NAS

Data Centers & Cloud Infrastructure


H O S T

RA I D SOF TWARE

D

D I SK CONTROLLER

H O S T

High Availability RAID-1

Cost RAID-5

Performance RAID-3

JBOD

D

D I SK CONTROLLER

RAID – First SW Defined Storage 1988

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© 2010-13 IMEX Research, Copying prohibited. All rights reserved.

RAID Arrays Software Creates Specific Storage Capabilities (High Availability, Performance or Cost)

Sources: Vasudeva, Anil “A Case for Disk Arrays” Presented at LAN Conference, Santa Clara, CA Aug 1988 Patterson D., Katz R, Gibson G “ A case for Redundant Array of Inexpensive Disks (RAID) UC Berkeley 1988

Virtualization led Workload Consolidation provides >20x Savings in RE, Pwr., HA

Multiple VMs create I/O Blender Effect

Virtualized Server Penetration

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

2011 2012 2013 2014 2015 2016

Virtualized Servers Penetration

WW Spending on Servers

Time

Provisioning

Hardware SAN

Network

Power & Cooling

DC Real Estate Disaster Recovery

Downtime

Co

st o

ver

3 y

ears

995 Pre-Virtualization (VZ) Servers 78 VZ Servers

VZ SW & Support

Virtualization: TCO Savings

Power/Cooling & Data Management & Bottlenecks in Physical Servers sharing Memory

50% of all servers in 2011 growing to 85% by 2016

Virtualization: Impact on IT Infrastructure


NextGen Applications Exploding

7

0

50

100

150

200

250

2013 2014 2015 2016 2017

# A

pp

licat

ion

s (#

K)

Applications Growth 2013-17

14 % growth

70 % growth

Traditional Applications NexGen Cloud Applications


Traditional Applications

NextGen Cloud Apps

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Data

: IM

EX

Researc

h &

Panasas

HPC &

Commercial Bioinformatics

& Healthcare

Entertainment-

Social Netwks

B-Intelligence

Big Data Productivity/

VDI

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Apps leveraging ITaaS using SDDC

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*IOPS for a required response time ( ms) *=(#Channels*Latency-1)

(RAID - 0, 3)

500 100

MB/sec 10 1 50 5

Data

Warehousing

OLAP

Business

Intelligence (RAID - 1, 5, 6)

IOP

S*

(*L

ate

nc

y-1

)

Web 2.0 Audio

Video

Scientific Computing

Imaging

HPC

TP

HPC

10K

100 K

1K

100

10

1000 K OLTP

eCommerce

Transaction

Processing

Workloads need Infrastructure Optimized for Cost, Availability, Performance …

Workloads: Key to Infrastructure Architecture


10

Srvrs

Storage Ntwk

SW

Srvcs

$-

$5

$10

$15

$20

$25

2011 2012 2013 2014 2015 2016

Re

v $

B

Big Data Market Syst .& Services

Big Data Analytics: Next IT Frontier


Application’s SLA dictates the Resources Required to meet specific

requirements of Availability, Performance, Cost, Security, Manageability etc.

Platform Tools & Services / APIs

Operating Systems

Cloud Computing Public Cloud Service

Providers

Private Cloud

Enterprise

App SLA

Applications/Software as a Service

PaaS

IaaS

SaaS

Virtualization

Resources (Servers, Storage, Networks)

App SLA

App SLA

App SLA

App SLA

Man

ag

em

en

t

Hybrid

Cloud

Workloads/SLA Optimized Systems


Need: A New Storage Architecture 1 Key Tenets of Virtualization (VZ)

Resources Utilization Costs

Uti

lizat

ion

63%

15%

Physical Servers

Virtual Servers

Compute & Networking

Storage Underperforms in VM Environments • Very Random, Write intensive I/Os from some

VMs get blended with Sequential, Read Heavy I/Os from other VMs resulting in: o Degraded Storage Performance by 30-50%

• Legacy Soln: Larger, more expensive storage configs created to meet needed IOPs o Storage Capacity wastage

• Other Effects o Poor Thin Provisioning & Snapshots/Cloning o Inefficient VM Management

2 Storage Performance Issues in VZ The VM I/O Blender – A key Culprit

3 Solution: Storage Defined Storage Improves Perf., Mgmt, Cost/Provisioning,Snaps

• Create a storage abstraction layer o Do for Storage like Hypervisor for Compute

Virtualizes Storage for Optimum Mgmt. • Unlock the Performance & Wasted Capacity of

Existing Storage by provisioning Storage as fast as VMS can be created o Improves storage performance by 10x o Improves Thin Provisioning & Snapshots o Reduces capacity consumption up to 90%

• Provide a VM-Centric Management paradigm o VM-Centric Management

• Integrate Seamlessly into existing Hypervisor

Hypervisor

Storage Hypervisor

VM 1

vDisk

VM 2

vDisk

VM 3

vDisk

VM n

vDisk

Storage Pool

Storage Hypervisor: Key to SDS

Storage Hypervisor Characteristics Improves Perf., Mgmt, Cost/Provisioning,Snaps

• Software Solution that deploys in each Host • Improves Storage Performance by up to 10x • Reduces Capacity Cosumption by up to 90% • Instantly provisions high performance Storage • Provides VM-Centric Mgmt. for Ease-of-use

Hypervisor

vDisk vDisk vDisk

VM n VM 2 VM 1 Virtual Storage

Appliance

Writes

vLogs Reads

Optimized de-staging

vSpace

Storage Hypervisor Architecture

• Removes Random Write I/Os to remove storage IO inefficiencies from Hypervisor

• Thin- Provisions vDisks to Outperform VMDKs to cut storage costs in half

• Enable CDP making fast and scalable High Performance Snapshots/Cloning

• Provides Instant Provisioning of High Performance Storage

• Provides transparent VMDK level Mgmt. • Lowers VDI Costs/desktop by 50%

New Role of IT: ITaaS

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Virtual Workspace Manages Access to Services, Applications and Data for Any Device

Hybrid Cloud Seamlessly Extends Data Center to Public Cloud

Software-Defined Data Center Virtualizes the Entire Data Center

Management & Automation

Storage & Availability Compute Network & Security


Software Defined Data Center Positioning IT for the Mobile-Cloud Era

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Positioning IT for the Mobile-Cloud Era

Virtualization Platform Has • Inherent knowledge of Requirements of Application • Global View of Infrastructure • Is Hardware agnostic

Converged Storage Pools

VM App OS

VM App OS

VM App OS

VM App OS

Virtualization Platform vSphere / Hyper-V / Xen / KVM/…

Virtualization Opens New Opportunities


Hypervisor

IaaS

VM

App OS

VM

App OS

VM

App OS

VM

App OS

Infrastructure Control & Policy


Proprietary

Software Defined Storage: Bringing Operational Mode of Compute to Storage


VAAI, VASA ,Storage v-Motion, Storage DRS..

VM Storage Policy

• Capacity • Performance • Availability

VM VM VM VM VM VM

SDS – VM Driven Data Services

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De-Dupe

Replication

Encryption

Snapshots

Compression

Caching

Back Up


Block Storage File Storage Object Storage

Control Plane

Data Plane

vSphere vSAN/vVols

vCenter Opns.Mgr.

Scale Out

NAS Storage High End Storage Mid-Range

Storage Open Storage

1

2

1

2

vCloud Automation Center

SDS-Control Plane Manages & Automates


vCloud

Block Storage File Storage Object Storage

Control Plane

Data Plane

Scale Out

NAS Storage High End

Storage

Mid-Range

Storage OpenStack

Storage

REST APIs REST APIs

Infrastructure & Application Software Vendors

SDS is a Programmable Platform


VM

VM

VM

VM

VM

VM

VM

VM

VM

VM VM VM

VM

vSAN: Storage Hypervisor


VM VM VM VM VM VM VM VM

VM

Self-Tuning Dynamic Storage for VMs


VM Storage Policies Built in Advance

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VM

VM Storage Policy

• Capacity • Performance • Availability


vDataStore Capabilities visible to vCenter vDataStore Capabilities visible to vCenter

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1. At the time vSAN Cluster is created, the capabilities available in vSAN Datastores are read and automatically sent to vCenter

2. vCenter looks at these capabilities available in Datastores and sets VM Storage Policies

3. VM Storage Policies then have the Requirements of the Application running on the VM (Requirements such as Availability, Performance and Provisioning etc.)


Storage Hypervisor (vSAN) Overview

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Storage designed for

VMs

50% Lower TCO

Dynamic, Fast & Resilient

• Automated Storage Management via VM Storage Policies derived from Application Requirements

• Integrated with Hypervisor & Managed in vCenter

• SLA Requirements per VM managed by Intelligent Data Placement

• Instant Storage Provisioning • Built-In Resiliency/Protection

from HW failures • Dynamic Scalability to Grow from

TB to PB


From vCenter to vStores

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VM

VM

VM

VM

VM

VM

VM

vCenter


ITaaS Cloud Model using SDDC


Outlook: Software Defined Storage

SDS is the key to the “Next Big Thing in ITaaS” Built-In strong features for Virtualized Data Centers & Cloud Federation

SDS Features • Services Based Infrastructure to provide Automation, Unifies

Control and Efficiency • Provisioning via Policies and Workload-aware service Levels to

match specific requirements by each individual Applications • Utilizes Open Standards and Interfaces based resilient,

commodity Data Storage deployable on any platform of choice • Covers full spectrum of block, file and object storage • Cost effective and highly automated • Highly Scalable (Capacity, Throughput, Performance)

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Software Defined Storage

The New Storage Platform

Anil Vasudeva President & Chief Analyst

IMEX Research

software defined storage - aventri...outlook: software defined storage sds is the key to the “next...

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