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Accelerating Cloud Services
Kenny Sng
Senor Solutions Architect, APJ - Intel
Accelerating
Cloud
Services
Kenny Sng	
  
Today’s Challenges	
  
4
Client Continuum
Internet of Things
Big Data
Cloud
Security
Energy
Retail
Smart Cities
Healthcare
Finance
Transport
>1 Zetabyte Internet Traffic3
>15 Bn Connected Devices2
>1 Bn More Netizen’s1
Infrastructure Enabling New Horizons
Tectonic
Shifts
New
Business +
Usage
Models
…by
2015
5
Infrastructure Enabling New Horizons
in 2015 3x more bits in digital universe
than stars in the physical universe
7.9 ZB
of Data In the world was
created in the last 2 years.
90%
Storage of a Smart City project
in China
200PB
People calling, texting, tweeting &
browsing on cell phones
>5 Billion
People calling, texting, tweeting &
browsing on cell phones
966 Exabytes
On-demand video traffic per month 1
million minutes of video on global IP
networks every second *
3B DVDs
The data deluge has arrived!
*Cisco Visual networking index, Feb ’13 http://arstechnica.com/business/2012/05/bandwidth-explosion-as-internet-use-soars-can-bottlenecks-be-averted
6
In Enterprise, some clear trends are shaping
Big Data
6%OF ENTERPRISES
MAKING DECISIONS
WITH BIG DATA
ANALYTICS1
Cloud
9%OF ENTERPRISE
WORKLOADS
RESIDE IN PUBLIC
CLOUD2
HPC
12%OF U.S.
MANUFACTURING
FIRMS USE HPC
CLUSTERS3
7
Big Opportunity: Extract Value from Data
= Big Challenge
Revenue
Growth
Cost
Savings
Margin
Gain
x
THINGS
50
Billion
DATA
35 ZB
VALUE
=
8
Big Opportunity: For Enterprises
Learn or Perish!
Source: Bain
Companies that use analytics best are…
Have top-quartile
financial results
Make decisions faster
than others
Execute on
decisions faster
Make data-driven
decisions
2X 5X 3X
more likely to
2X
9
Cloud Growth Drivers: Digital Services Economy
Virtuous Cycle Driving 20%+ Cloud CAGR through 20171
1 Source: Intel internal analysis
Cloud: 75% of Growth from
Consumer Services1
Consumer vs. Business Cloud
Hosting
SMB SaaS
2011 2012 2013 2014
Forecast
Search
Social Media
Shopping
Gaming
Business
Consumer
New Services Driving Explosion of Devices
New Devices Driving Demand for Servers
CPU Volume
~400 DEVICES
SMARTPHONES
1 SERVER1drives
~40 DEVICES
CONNECTED
FACTORY TOOLS
1 SERVER2drives
~100 DEVICES
MEDICAL WEARABLE
DEVICES
1 SERVER2drives
~20 DEVICES
DIGITAL SIGNS
1 SERVER2drives
10
Devices
Catalyzed by a Virtuous Business/Computing Cycle
A new approach is needed
Other brands and names are the property of their respective owners.
Datacenter Devices
Services
11
Which has Seismic Effects on the CIO
“Always on” availability
Extreme Flexibility & Service Agility
Public Cloud Economics
Compliant to regulatory requirements
CEO/CFO
EXPECTATIONS
Consumer-like expectations
Tech-savvy
“Outside” alternatives
Fastest services TTM
BUSINESS
EXPECTATIONS
12
IT: Period of Transformation
Computer-Centric Network-Centric Human-Centric
Focused on
Productivity
through automation Focused on
Cost Reduction
through connectivity
Focused on
Rapid Service Delivery
through cloud & devices
13
Ongoing Stress on Datacenter Operations
Network
2-3 weeks to provision
new services1
Storage
40% data growth CAGR,
90% unstructured3
Server
Average utilization <50%
despite virtualization4
New Challenges are coming….
14
Resource	
  Pool	
  
Software Defined Infrastructure
Orchestration Software
Compute	
   Storage	
   Network	
  
Automated, easy to
create new apps and
services
Intelligent provisioning
and resource
allocation
Scalable, highly
efficient infrastructure
Power Performance Security Thermals Utilization Location Latency
Application A Application B Application C Application D
15
Re-architect the datacenter with cloud and software defined
infrastructure (SDI)
SDI
§  Real-time enterprise
with full datacenter
orchestration
§  Open standards and
API-based ecosystem
§  Optimized resource
pooling, provisioning
management, and
service assurance
SDN/NFV
SDS / NVM
Non-volatile
memory tier
Composable
infrastructure
U
ERP
On Premise
Systems
Big Data
Hybrid
Environment
Technology Trends
Infrastructure
Deployment
DevOps
IoT
Visual / Voice
Analytics
IaaS
Traditional IT
PaaS
IaaS
ITSM
ITIL
PaaS
SaaS
Cloud
delivery
Infrastructure
telemetry
Silicon
photonics
16
A world where applications define the system
High degree of flexibility
Greater governance
Predictable /
proven needs
High rate
of change
Supply
Chain
Social
Enablement
Sales
Automation
CRM
Mobile UI
Email
PayrollERP
Human
Resource
Finance
Systems
Data
Reporting
Application
Development
Environment
Big Data Insight
Regulatory
Compliance
Decision
Support
Enterprise
Communication
Classify your workloads to support diverse application needs
Performance for core business Go fast and adapt quickly
Go fast and be secureEfficiency for back office
Systems of
Record
Systems of
Differentiation
Systems of
Innovation
Systems of
Differentiation
17
Journey to cloud is then inevitable
A cloud strategy addresses real pressures IT organizations face
A Cloud Strategy
addresses these pressures
Balance CAPEX/OPEX to enable “invest for base,
partner for spikes” deployment model
Shorten time to value and secure deployments
with a software defined architecture (SDI)
Deliver services on-demand; partner with business
leaders on innovations that matter
Pressure to reduce cost
•  Do more with less
•  Deliver globally
•  Deliver broader service types	
  
Pressure to deliver faster
•  Meet timelines at
business pace
•  24 x 7 x 365 availability
Pressure to secure and comply
•  Enforce security and
maintain privacy
•  Adhere to policies/
governance
18
Networking for the Cloud
2-3 Weeks1 to set up
new network
infrastructure…
SOFTWARE
DEFINED
NETWORKING
NETWORKING
TODAY
1 hour to set up networking
infrastructure!
1:	
  Source:	
  Intel	
  IT	
  internal	
  es;mate	
  
Agility
Opex/Capex
$
Days : To Install On-site Fixed
Function Appliance
Days : Get an Appliance On-Line
Hours : Load Applications
	
  
10 min: Cloud Server Purchased
20 min: Cloud Server VMs
Instantiated
10 min: 2 Applications Loaded
20 min: 3 NFV applications purchased
(Virtual Firewall, Router,
ADC)
19
Cloud Economics
Workload Performance Metrics Amazon’s TCO Analysis¹
Performance / TCO is the key metric
Hadoop Queries
Storage Capacity
Web Transactions / Sec
VMs per System
Servers
Networking
Power
Distribution
& Cooling
Power
1:	
  Source:	
  James	
  Hamilton,	
  Amazon	
  hBp://perspec;ves.mvdirona.com/2010/09/overall-­‐data-­‐center-­‐costs/	
  
Other	
  names	
  and	
  brands	
  may	
  be	
  claimed	
  as	
  the	
  property	
  of	
  others	
  
20
Amazon Web Services & Intel
21
Intel continuously investing in DC technologies
Source:	
  IDC	
  WW	
  Server	
  Tracker	
  &	
  Intel	
  	
  
Enterprise
IT
8% CAGR
Cloud
SPs
>25%
CAGR
Comms
SPs
>25%
CAGR
High Performance
Computing
>20%
CAGR
Servers
Network
Storage
Software
CPUs, Accelerators, Ethernet & Infiniband Switch Silicon
CPUs, Flash, Caching & RAID SW
Hadoop, Lustre File System, Datacenter Manager, Wind River OS
CPUs, Ethernet & Infiniband Controllers, Management SW
22
AWS keeping pace with Intel’s relentless
pursuit of Moore’s Law
AWS
EC2
C3
AWS
EC2
C4
Intel® Core™
Microarchitecture
Intel®
Microarchitecture
Codename
Nehalem
Intel®
Microarchitecture
Codename Sandy
Bridge
Intel®
Microarchitecture
Codename
Haswell
Merom
New
Micro-
architecture
65nm
Penryn
New
Process
Technology
45nm
Nehalem
New
Micro-
architecture
45nm
Westmere
New
Process
Technology
32nm
Sandy
Bridge
New
Micro-
architecture
32nm
Ivy
Bridge
New
Process
Technology
22nm
Haswell
New
Micro-
architecture
22nm
Broadwell
New
Process
Technology
14nm
22
22
TOCK TICK TOCK TICK TOCK TICK TOCK TICK
The number of transistors
incorporated in a chip will
approximately double every 24
months."
Gordon Moore, Former CEO & Intel co-founder
23
Custom Intel Xeon processors for AWS
C4 = highest performing EC2 instances
PERFORMANCE
New EC2 Instances – C4
24
Full table of Intel technologies available in EC2
Amazon EC2 provides a wide selection of instance types optimized to fit different use cases.
AWS publish Intel processor models and enabled technologies that
deliver value and choice to end customers
The latest Intel Xeon processors are utilized, providing you with high performance and value, and the ability to choose Amazon EC2 instance types that best
meet your performance needs for compute intensive, memory intensive, or IOPS intensive applications.
AWS Instance
Type
Intel® process
Technology
Intel®process
technology
Intel® AVX
Intel® AES-NI
Intel® Turbo Boost
SSD Storage
Computer
optimized c4
Intel®Xeon
E5-2666 v3
22nm Haswell
AVX 2.0
EBS-OPT
by default
I/O
Optimized I2
Intel®Xeon®
E5-2670 v2
22nm
Ivy Bridge
I/O
Optimized I2
Intel®Xeon®
E5-2670 v2
22nm
Ivy Bridge
General Purpose
Balanced
M3
Intel®Xeon®
E5-2670 v2
22nm
Ivy Bridge
Burstable
T2
Intel®Xeon®
Family
GPU
G2
Intel® Xeon
E5-2670
32nm
Sandy Bridge
Storage
Optimized HS1
Intel®Xeon®
family
25
AWS end customer’s benefit
Novartis reduced cost by choosing premium instances
1 NIBR, of Novartis Pharmaceuticals ran Next Gen Sequencing, Imaging & Modeling & Sim techniques (specifically Virtual Screening w/CPU bound, low mem, low IO, network,
parallel Benchmarking SW ran same job many times (workload avg 32 secs on AWS cc2.8xlarge vs 1min 7 sec on AWS m1.large) revealed that best ROI was with cc2vspot
instances
Intel does not control or audit the design or implementation of third party benchmark data or Web sites referenced in this document. Intel encourages all of its customers to visit
the referenced Web sites or others where similar performance benchmark data are reported and confirm whether the referenced benchmark data are accurate and reflect
performance of systems available for purchase.
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and
MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary.
You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when
combined with other products. For more information go to http://www.intel.com/performance
65%
Cost reduction1
Up to
0
10
20
30
40
50
60
70
Lower Performing Premium
Job runtime in seconds1
(lower is better)
Sec
52%
Decrease in
run-time1
Up to
26
Intel & AWS big data case studies
More at http://aws.amazon.com/intel and http://aws.amazon.com/solutions/case-studies
Accelerating your adoption of Big Data solution
Learn what our customers are
able to do in 60 minutes
The opportunities exist for data to transform businesses
in fields as diverse as travel, genomics, e-commerce
and space exploration. They are created by the on-
demand availability of the high performance Intel Xeon
E5 processor family in the Amazon Web Services cloud.
More at https://www.cloudinsights.com/Big-Data/
27
Key Takeaways
Transformation to cloud is critical
to speed business time to value,
deliver services on-demand,
and turn IT from business support
to business partner.
Cloud infrastructure enables IT to
seamlessly connect
multiple pools of resources, deliver
insights with higher scalability
and secure access to centralized data
Intel and AWS are
working jointly to help you
leverage the power
of the Cloud
Thank You	
  
Accelerating Cloud Services - Intel

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Accelerating Cloud Services - Intel

  • 1. Accelerating Cloud Services Kenny Sng Senor Solutions Architect, APJ - Intel
  • 4. 4 Client Continuum Internet of Things Big Data Cloud Security Energy Retail Smart Cities Healthcare Finance Transport >1 Zetabyte Internet Traffic3 >15 Bn Connected Devices2 >1 Bn More Netizen’s1 Infrastructure Enabling New Horizons Tectonic Shifts New Business + Usage Models …by 2015
  • 5. 5 Infrastructure Enabling New Horizons in 2015 3x more bits in digital universe than stars in the physical universe 7.9 ZB of Data In the world was created in the last 2 years. 90% Storage of a Smart City project in China 200PB People calling, texting, tweeting & browsing on cell phones >5 Billion People calling, texting, tweeting & browsing on cell phones 966 Exabytes On-demand video traffic per month 1 million minutes of video on global IP networks every second * 3B DVDs The data deluge has arrived! *Cisco Visual networking index, Feb ’13 http://arstechnica.com/business/2012/05/bandwidth-explosion-as-internet-use-soars-can-bottlenecks-be-averted
  • 6. 6 In Enterprise, some clear trends are shaping Big Data 6%OF ENTERPRISES MAKING DECISIONS WITH BIG DATA ANALYTICS1 Cloud 9%OF ENTERPRISE WORKLOADS RESIDE IN PUBLIC CLOUD2 HPC 12%OF U.S. MANUFACTURING FIRMS USE HPC CLUSTERS3
  • 7. 7 Big Opportunity: Extract Value from Data = Big Challenge Revenue Growth Cost Savings Margin Gain x THINGS 50 Billion DATA 35 ZB VALUE =
  • 8. 8 Big Opportunity: For Enterprises Learn or Perish! Source: Bain Companies that use analytics best are… Have top-quartile financial results Make decisions faster than others Execute on decisions faster Make data-driven decisions 2X 5X 3X more likely to 2X
  • 9. 9 Cloud Growth Drivers: Digital Services Economy Virtuous Cycle Driving 20%+ Cloud CAGR through 20171 1 Source: Intel internal analysis Cloud: 75% of Growth from Consumer Services1 Consumer vs. Business Cloud Hosting SMB SaaS 2011 2012 2013 2014 Forecast Search Social Media Shopping Gaming Business Consumer New Services Driving Explosion of Devices New Devices Driving Demand for Servers CPU Volume ~400 DEVICES SMARTPHONES 1 SERVER1drives ~40 DEVICES CONNECTED FACTORY TOOLS 1 SERVER2drives ~100 DEVICES MEDICAL WEARABLE DEVICES 1 SERVER2drives ~20 DEVICES DIGITAL SIGNS 1 SERVER2drives
  • 10. 10 Devices Catalyzed by a Virtuous Business/Computing Cycle A new approach is needed Other brands and names are the property of their respective owners. Datacenter Devices Services
  • 11. 11 Which has Seismic Effects on the CIO “Always on” availability Extreme Flexibility & Service Agility Public Cloud Economics Compliant to regulatory requirements CEO/CFO EXPECTATIONS Consumer-like expectations Tech-savvy “Outside” alternatives Fastest services TTM BUSINESS EXPECTATIONS
  • 12. 12 IT: Period of Transformation Computer-Centric Network-Centric Human-Centric Focused on Productivity through automation Focused on Cost Reduction through connectivity Focused on Rapid Service Delivery through cloud & devices
  • 13. 13 Ongoing Stress on Datacenter Operations Network 2-3 weeks to provision new services1 Storage 40% data growth CAGR, 90% unstructured3 Server Average utilization <50% despite virtualization4 New Challenges are coming….
  • 14. 14 Resource  Pool   Software Defined Infrastructure Orchestration Software Compute   Storage   Network   Automated, easy to create new apps and services Intelligent provisioning and resource allocation Scalable, highly efficient infrastructure Power Performance Security Thermals Utilization Location Latency Application A Application B Application C Application D
  • 15. 15 Re-architect the datacenter with cloud and software defined infrastructure (SDI) SDI §  Real-time enterprise with full datacenter orchestration §  Open standards and API-based ecosystem §  Optimized resource pooling, provisioning management, and service assurance SDN/NFV SDS / NVM Non-volatile memory tier Composable infrastructure U ERP On Premise Systems Big Data Hybrid Environment Technology Trends Infrastructure Deployment DevOps IoT Visual / Voice Analytics IaaS Traditional IT PaaS IaaS ITSM ITIL PaaS SaaS Cloud delivery Infrastructure telemetry Silicon photonics
  • 16. 16 A world where applications define the system High degree of flexibility Greater governance Predictable / proven needs High rate of change Supply Chain Social Enablement Sales Automation CRM Mobile UI Email PayrollERP Human Resource Finance Systems Data Reporting Application Development Environment Big Data Insight Regulatory Compliance Decision Support Enterprise Communication Classify your workloads to support diverse application needs Performance for core business Go fast and adapt quickly Go fast and be secureEfficiency for back office Systems of Record Systems of Differentiation Systems of Innovation Systems of Differentiation
  • 17. 17 Journey to cloud is then inevitable A cloud strategy addresses real pressures IT organizations face A Cloud Strategy addresses these pressures Balance CAPEX/OPEX to enable “invest for base, partner for spikes” deployment model Shorten time to value and secure deployments with a software defined architecture (SDI) Deliver services on-demand; partner with business leaders on innovations that matter Pressure to reduce cost •  Do more with less •  Deliver globally •  Deliver broader service types   Pressure to deliver faster •  Meet timelines at business pace •  24 x 7 x 365 availability Pressure to secure and comply •  Enforce security and maintain privacy •  Adhere to policies/ governance
  • 18. 18 Networking for the Cloud 2-3 Weeks1 to set up new network infrastructure… SOFTWARE DEFINED NETWORKING NETWORKING TODAY 1 hour to set up networking infrastructure! 1:  Source:  Intel  IT  internal  es;mate   Agility Opex/Capex $ Days : To Install On-site Fixed Function Appliance Days : Get an Appliance On-Line Hours : Load Applications   10 min: Cloud Server Purchased 20 min: Cloud Server VMs Instantiated 10 min: 2 Applications Loaded 20 min: 3 NFV applications purchased (Virtual Firewall, Router, ADC)
  • 19. 19 Cloud Economics Workload Performance Metrics Amazon’s TCO Analysis¹ Performance / TCO is the key metric Hadoop Queries Storage Capacity Web Transactions / Sec VMs per System Servers Networking Power Distribution & Cooling Power 1:  Source:  James  Hamilton,  Amazon  hBp://perspec;ves.mvdirona.com/2010/09/overall-­‐data-­‐center-­‐costs/   Other  names  and  brands  may  be  claimed  as  the  property  of  others  
  • 21. 21 Intel continuously investing in DC technologies Source:  IDC  WW  Server  Tracker  &  Intel     Enterprise IT 8% CAGR Cloud SPs >25% CAGR Comms SPs >25% CAGR High Performance Computing >20% CAGR Servers Network Storage Software CPUs, Accelerators, Ethernet & Infiniband Switch Silicon CPUs, Flash, Caching & RAID SW Hadoop, Lustre File System, Datacenter Manager, Wind River OS CPUs, Ethernet & Infiniband Controllers, Management SW
  • 22. 22 AWS keeping pace with Intel’s relentless pursuit of Moore’s Law AWS EC2 C3 AWS EC2 C4 Intel® Core™ Microarchitecture Intel® Microarchitecture Codename Nehalem Intel® Microarchitecture Codename Sandy Bridge Intel® Microarchitecture Codename Haswell Merom New Micro- architecture 65nm Penryn New Process Technology 45nm Nehalem New Micro- architecture 45nm Westmere New Process Technology 32nm Sandy Bridge New Micro- architecture 32nm Ivy Bridge New Process Technology 22nm Haswell New Micro- architecture 22nm Broadwell New Process Technology 14nm 22 22 TOCK TICK TOCK TICK TOCK TICK TOCK TICK The number of transistors incorporated in a chip will approximately double every 24 months." Gordon Moore, Former CEO & Intel co-founder
  • 23. 23 Custom Intel Xeon processors for AWS C4 = highest performing EC2 instances PERFORMANCE New EC2 Instances – C4
  • 24. 24 Full table of Intel technologies available in EC2 Amazon EC2 provides a wide selection of instance types optimized to fit different use cases. AWS publish Intel processor models and enabled technologies that deliver value and choice to end customers The latest Intel Xeon processors are utilized, providing you with high performance and value, and the ability to choose Amazon EC2 instance types that best meet your performance needs for compute intensive, memory intensive, or IOPS intensive applications. AWS Instance Type Intel® process Technology Intel®process technology Intel® AVX Intel® AES-NI Intel® Turbo Boost SSD Storage Computer optimized c4 Intel®Xeon E5-2666 v3 22nm Haswell AVX 2.0 EBS-OPT by default I/O Optimized I2 Intel®Xeon® E5-2670 v2 22nm Ivy Bridge I/O Optimized I2 Intel®Xeon® E5-2670 v2 22nm Ivy Bridge General Purpose Balanced M3 Intel®Xeon® E5-2670 v2 22nm Ivy Bridge Burstable T2 Intel®Xeon® Family GPU G2 Intel® Xeon E5-2670 32nm Sandy Bridge Storage Optimized HS1 Intel®Xeon® family
  • 25. 25 AWS end customer’s benefit Novartis reduced cost by choosing premium instances 1 NIBR, of Novartis Pharmaceuticals ran Next Gen Sequencing, Imaging & Modeling & Sim techniques (specifically Virtual Screening w/CPU bound, low mem, low IO, network, parallel Benchmarking SW ran same job many times (workload avg 32 secs on AWS cc2.8xlarge vs 1min 7 sec on AWS m1.large) revealed that best ROI was with cc2vspot instances Intel does not control or audit the design or implementation of third party benchmark data or Web sites referenced in this document. Intel encourages all of its customers to visit the referenced Web sites or others where similar performance benchmark data are reported and confirm whether the referenced benchmark data are accurate and reflect performance of systems available for purchase. Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to http://www.intel.com/performance 65% Cost reduction1 Up to 0 10 20 30 40 50 60 70 Lower Performing Premium Job runtime in seconds1 (lower is better) Sec 52% Decrease in run-time1 Up to
  • 26. 26 Intel & AWS big data case studies More at http://aws.amazon.com/intel and http://aws.amazon.com/solutions/case-studies Accelerating your adoption of Big Data solution Learn what our customers are able to do in 60 minutes The opportunities exist for data to transform businesses in fields as diverse as travel, genomics, e-commerce and space exploration. They are created by the on- demand availability of the high performance Intel Xeon E5 processor family in the Amazon Web Services cloud. More at https://www.cloudinsights.com/Big-Data/
  • 27. 27 Key Takeaways Transformation to cloud is critical to speed business time to value, deliver services on-demand, and turn IT from business support to business partner. Cloud infrastructure enables IT to seamlessly connect multiple pools of resources, deliver insights with higher scalability and secure access to centralized data Intel and AWS are working jointly to help you leverage the power of the Cloud