Transcript
Page 1: The Application-Centric Cloud:  Why the Network Still Matters

accelerate your ambition

The Application-Centric Cloud:

Why the Network Still Matters

Greg Spicer

Manager, Cloud Solution Architects

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Page 3: The Application-Centric Cloud:  Why the Network Still Matters
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Cloud Definition from NIST

Public Private Hybrid Community Cloud Types

Service Types Software as a

Service (SaaS)

Platform as a

Service (PaaS)

Infrastructure as a

Service (IaaS)

Key

Characteristics On-Demand

Self Service

Global Secure

Access Utility Billing

Elastic Scale Automation Orchestration

NIST = The National Institute of Standards and Technology

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We have built an industrial infrastructure

Virtual Servers Virtual Disks

Networks and Security

Physical and logical infrastructure

CloudControl™ - infrastructure orchestration (portal and API)

Bought, deployed and operated by Dimension Data

Resource consumption Accountable admins

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Dimension Data’s MCP is powered by Cisco

• Faster time-to-value

• Assured performance

• Continuous innovation

Cisco-powered cloud services enables Dimension Data to connect customers with confidence

• Based on validated architectures

• Documented scalability

• Certified via third-party audits

• End-to-end security

• Align with open standards

• Benefit from highest % R&D investment-to-revenue

Cisco Powered Services

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Simple, Powerful and Proven UI and API –

Configurable Hardware-Based Networking

Multiple VLANs for

n-Tier Applications

ACL-based Firewalls

Configurable Load

Balancing

Multicast Support

VPN Access to Cloud

Environment

99.99% Availability SLA

< 1ms Latency SLA

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Low (Web) Medium (App) High (DB)

Build multi-tier, secure applications in the cloud

VLAN A VLAN B VLAN C

Public (NAT’ed) IP Space

Public Traffic filtered at Firewall

Private IP Space

Traffic filtered at VLAN A Firewall

Multi-cast for application clustering

Private IP Space

Specific server to server traffic

Public user VPN Gateway

Administrator Administrator

Load Balancing & SSL Offloading

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Enterprise-class cloud

performance

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Tolly Group report findings

Faster processing

than Amazon

Faster memory

throughput

Faster file access speed Greater network

throughput

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Tolly CPU Test – faster processing

Notes: For Amazon Web Services, the number shown is the number of EC2 units. Neither IBM nor Rackspace offers a 1vCPU solution. IBM running RHEL 6.3, all others running Ubuntu

10.04LTS Server. All systems were 64-bit. Source: Tolly, July 2013

606

284

141

909

433

227 190 101

289

144

0

200

400

600

800

1000

Small Medium Large

Dimension Data Amazon Web Services IBM SmartCloud Rackspace

Lower Numbers

Ben

ch

ma

rk c

om

ple

tio

n t

ime

(se

co

nd

s)

System Category

Linux Cloud Server CPU Performance C-Ray 1.1 Benchmark

(as reported by Phoronix Test Suite 3.6.1)

1 vCPU 2 vCPUs 4 vCPUs

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Tolly RAM Test – faster memory throughput

Note: Neither IBM nor Rackspace offers a 1 vCPU solution. IBM running RHEL 6.3, all others running Ubuntu 10.04LTS Server. All systems 64-bit. Source: Tolly, July 2013

3,110

10,831

18,542

1,225 2,523 3,200

9,985 8,772

6,522 7,818

0

5,000

10,000

15,000

20,000

Small Medium Large

Dimension Data Amazon Web Services IBM SmartCloud Rackspace

Me

mo

ry O

pera

tio

ns

per

sec

on

d

(ave

rag

e)

System Category

Linux Cloud Server System Memory Performance RAMSpeed 3.5 Benchmark

(as reported by Phoronix Test Suite 3.6.1)

2 GB RAM

4 GB RAM 8 GB RAM

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Tolly Storage Test – faster file access speed

1,448

3,472 3,472

402

1,278 1,342

684 527 642 659

0

1,000

2,000

3,000

4,000

Small Medium Large

Dimension Data Amazon Web Services IBM SmartCloud Rackspace

Tra

nsa

cti

on

s p

er

sec

on

d (

ave

rag

e)

Linux Cloud Server Local File Performance PostMark 1.51 Benchmark

(as reported by Phoronix Test Suite 3.6.1)

1vCPU /

2 GB RAM

2vCPU /

4 GB RAM

4 vCPU /

8 GB RAM

Note: Neither IBM nor Rackspace offers a 1 vCPU solution. Default file systems used: ext4 for Dimension Data, ext3 for the other solutions.

IBM running RHEL 6.3, all others running Ubuntu 10.04LTS Server. All systems were 64-bit. Source: Tolly, July 2013

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Dimension Data provides 9x bandwidth throughput

Note: Neither IBM nor Rackspace offers a 1 vCPU solution. For this test, the Rackspace “small” machine has 2vCPUs and 2GB RAM. All tests run with a “large” system

as a partner across low-latency, internal network. Throughput can exceed GbE because of 10GbE back-end trunking. IBM running RHEL 6.3, all others running Ubuntu

10.04LTS Server. All systems were 64-bit. Source: Tolly, July 2013

2,252

3,260

4,463

344

1,052 1,244

1,834 1,864

233 377 479

0

1,000

2,000

3,000

4,000

5,000

Small Medium Large

Dimension Data Amazon Web Services IBM SmartCloud Rackspace

Bid

ire

cti

on

al th

rou

gh

pu

t p

er

sec

on

d

(ave

rag

e)

Linux Cloud Server Bidirectional Local Area Network Performance iPerf Benchmark

(as reported by iPerf 2.0.4)

1vCPU /

2 GB RAM

2vCPU /

4 GB RAM

4 vCPU /

8 GB RAM

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Thank you