The Software Driven

Datacenter

Hardware Costs

Hardware Costs

Three Major Trends are Driving

the Evolution of the Datacenter

Innovation in CPU and Memory….

1

10

100

1000

10000

1968 1973 1978 1983 1988 1993 1998 2003 2008 2013 2018

DRAM$/GB

CPUprocess technologies

1 nm

10 nm

100 nm

1 µm

10 µm

Source: Gartner Dataquest, Forecast: DRAM Market Statistics (1Q11)

$0

$25

$50

$75

$100

2005 2007 2009 2011 2013

… Leads to More Processing Power per Server…

0

5

10

15

20

25

30

35

2000 2002 2005 2008 2010 2013

0

500

1,000

1,500

2,000

2,500

2000 2002 2005 2007 2009 2010 2011

Source: Forrester Research, The x86 Server Grows Up And Out (October 8, 2010)

Threads Per Socket (2 per core) Maximum Memory in GB

…at Lower and Lower Cost

Cost Includes the entire server (i.e. CPU, memory, etc.) except for add-on cards. Source: IDC Worldwide Virtualization Tracker, 2010

$0

$5,000

$10,000

$15,000

$20,000

$25,000

2006 2007 2008 2009 2010

2013 = $5K

Average Cost Per Virtualized Server

2013

Hardware Costs

Three Major Trends are Driving

the Evolution of the Datacenter

The World is Majority Virtualized

Source: IDC Worldwide Virtualization Tracker, 2010

A New Datacenter Architecture

9%14%

22%

33%

42%

51%

59%65%

69%

% Virtualized(of all installed workloads WW)

2005 2006 2007 2008 2009 2010 2011 2012 2013

Convergence is Happening on Many Fronts

Convergence on

x86 processors

Converged IO

Converged

systems

The Result? Hyper-density!

In 2014, an average server:

• 2-CPU

• 16 core per socket

• 300 GB RAM

• 320 VMs

Leading to the all-x86, software-driven datacenter

Hardware Costs

Three Major Trends are Driving

the Evolution of the Datacenter

What We Run on Servers is Also Changing…

New Types of Interactions

New Devices

New Frameworks

Data Growth & New Data Types

New Infrastructures & Platforms

New Architecture Required

Apps

HW

Existing Architecture Emerging Architecture

The Forces at Work

New Architecture and Operating Model

for the Datacenter

Hardware Costs

The New Cloud Architecture and Operating Model

From…

(old world)

To…

(new world)

Benefit / Business

Goals

Static and

location-bound

Elastic and mobile

$100 / year

Break:

Troubleshoot,

Fix

Break - Replace

<2 min failure recovery

Manual operations

Intelligent policy mgmt

10,000 VMs : 1 admin

The New Cloud Architecture and Operating Model

From…

(old world)

To…

(new world)

Benefit / Business

Goals

Static and

location-bound

Elastic and mobile

$100 / year

Break:

Troubleshoot,

Fix

Break - Replace

<2 min failure recovery

Manual operations

Intelligent policy mgmt

10,000 VMs : 1 admin

How is this done today?

Start with open source code…

…add a lot of computer science PhDs…

…to custom-build it for a single application!

Grid

… for a much more diverse application landscape

How is the industry enabling this?

Federate geo-distributed

sites and providers

Hybrid Cloud

Transformation

Re-define hardware /

software boundary

Cluster

Transformation

Run a broad diversity

of workloads

Hypervisor

Transformation

Federate geo-distributed

sites and providers

Hybrid Cloud

Transformation

Re-define hardware /

software boundary

Cluster

Transformation

Building Out The Future Datacenter:

The Future Virtualization Platform

Server

Hypervisor

Transformation

Data Caching

ServicesPaaSInfrastructure as a Service - Resource Pooling and QOS

Infrastructure as a Service - Resource Pooling and QOS

Today, IaaS and PaaS Stand

as Separate Environments

Grid

IaaS and PaaS will Blend as Services to Support All Apps

Infrastructure &

Management Services

Messaging

ServicesObject Models

Infrastructure Platform as a Service - Resource Pooling and QOS

Building Out The Future DC:

The DC Building Block

Server DC Pod/Cluster

Hypervisor

Transformation

Hybrid Cloud

Hybrid

Transformation

Cluster

Transformation

Today’s Constraints on Datacenter Consolidation

Artificial Constraints!

Cluster A Cluster C

Cluster B Cluster D

New Software-Driven Storage Infrastructure

Emerging to Serve New Apps

vSphere

Local Disk

Scale-out storage

Cloud storage

Blob

Enabling Dynamic, Workload-aware Networks

Performant Scalable Networks

Extensible, Scale Out

Network Services

Provisioning and Automation

VDC VDC

Network Virtualization

Enabling Scalable, Agile, Virtual NetworksN

etw

ork

ing

Tele

ph

on

y

Identifier = Location

192.168.10.1

650.555.1212

650.555.1212

Identifier = Location

Wireless

Telephony

VXLAN

192.168.10.1

vSphere

VXLAN – How It Works

vSphere

VLAN 10

FE:AA:03:F4

Payload

IP Payload

IP Payload192.168.1.0/24 VLAN 100 172.168.1.0/24

Sender

FE:AA:03:F5

Receiver

Physical network A Physical network B

Payload

IP Payload

IP Payload

Works with any switching fabric

Open standard

Key Properties

Security and Isolation: Physical Virtual

Cloud Infrastructure

Gold BronzeSilver

Trust Zone

“Nosy Neighbor”

Secure Isolation Accomplished Efficiently:

Identity Based

Finance HR

From: To:

Finance HR

Building Out The Future Datacenter:

The Hybrid Cloud

Server DC Pod/Cluster

Hypervisor

Transformation

Cluster

Transformation

Hybrid Cloud

Hybrid

Transformation

Scaling Across Datacenters

Virtual Data

Center

DR plan

Back up

Anti-virus

Gold BronzeSilver

99.99%

1 hour

Daily

High I/O

High

99.9%

3 hour

Weekly

Med I/O

Med

99.0%

None

None

Low I/O

Low

99.99%

1 hour

Daily

High I/O

High

99.9%

3 hour

Weekly

Med I/O

Med

99.0%

None

None

Low I/O

Low

Intelligent Policy Management Will Need to Go Beyond the DC

Availability = 99.99%

DR RTO = 1 hour

Max Latency = 500 ms

SLA Definitions

Availability 99.99%

DR RTO 1 hour

Back up Daily

Performance High I/O

Security High

?Availability

DR RTO

Back up

Performance

Security

Cloud InfrastructureDatacenter 1 Datacenter 2 Datacenter 3

X-Datacenter and X-Cloud Placement Engine

Our Current Compliance Infrastructure

Assumes Two Worlds

Wild Wild West….

Compliant

Authenticated

Encrypted

Anti-virus

The Datacenter The Public Cloud

New World: Security and Compliance

for the Hybrid Cloud

Volume of DC Events & Metrics Require

New Statistical Management Techniques

SecurityEvents

HW

Performance

Availability

Admin

Actions

App

Performance

Usage Data Metrics

Web App

How do we

leverage all of

this data?

What is the Desired State?

Just as all matter can be assembled from a

few standard sub-atomic particles…

…so the DC of the future will be assembled

from standard components…

…all managed by intelligent,

highly automated software