Soa R Dataline Government Cloud Computing Geva Perry
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Transcript of Soa R Dataline Government Cloud Computing Geva Perry
Cloud Computing
Designing Applications for Efficiency
Geva Perry
General Manager
Cloud Computing
- Confidential -
Global 1000 Companies Rely on GigaSpaces
- Confidential -
bull Software architecture is undergoing a ldquoonce in a decaderdquo transformation
bull IDC on Cloud Computing This is about the IT industrys new model for the next 20
years
ndash Vernon Turner head of enterprise infrastructure consumer and telecoms
research
Mainframe N-tierClient Server
Virtualized1980s 1990s 2000s
Market Trends
- Confidential -
Volatile and Unpredictable Application Loads
bull Transactions data and user growth - require greater investment
bull Volatile and unpredictable growth rates - add greater risk
bull How do you design and build applications that cost-effectively scale in such
conditions
bull Without compromising reliability performance and time-to-market
0
100000000
200000000
300000000
400000000
500000000
600000000
700000000
800000000
900000000
1000000000
1100000000
1200000000
1300000000
J-04 M-04 M-04 J-04 S-04 N-04 J-05 M-05 M-05 J-05 S-05 N-05 J-06 M-06 M-06 J-06 S-06 N-06 J-07 M-07 M-07 J-07 S-07
- Confidential -
Non-Scalable Applications Are Expensive and Risky
bull Non-scalable applications suffer from diminishing returns on added resources
bull As the business grows per transaction costs INCREASE
bull At some point the application will hit a wall leading to
ndash Application crashes (and potential disaster for the business ndash at huge cost)
ndash Expensive process of re-architecting the application every few monthsyears
Non-Linear Scalability (15 Contention)
$0
$200000
$400000
$600000
$800000
$1000000
$1200000
1000 2000 3000 4000 5000 6000 7000 8000 9000 10000
Required Throughput (eg TxSec)
To
tal S
olu
tio
n C
os
t
The Scalability
Wall
Server cost
$20000
Single server throughput
1000 txsec
Contention
15
- Confidential -
Scalability Disasters Are More Common Than Ever
bull Lost customers
bull Lost revenues
bull Brand damage
- Confidential -
Downtime Costs Can Easily Exceed $100K Per Hour
bull According to a 2004 Forrester survey of 235 companies the hourly
cost of downtime was
Percent of Companies Hourly Cost
33 $10K-100K
25 $100K-500K
13 $500K- 1M
4 gt$1M
25 Didnrsquot Know
- Confidential -
Gartner Highlights the Full Impact of Downtime
- Confidential -
Over-Provisioning is Rampant
bull Companies allocate high-end expensive servers to handle future capacity
bull The result average industry server utilization rates are15-20
bull The trend is changing utilization rates are growing due to virtualization
bull Companies that donrsquot achieve higher levels of utilization will be in a
competitive disadvantage
- Confidential -
The Goal Linear Scalability On Demand
bull No diminishing returns on scale
bull No code changes when scaling
bull Drop in another box and increase capacity linearly
1000 txsec2000 txsec3000 txsec4000 txsec
$0
$200000
$400000
$600000
$800000
$1000000
$1200000
1000 2000 3000 4000 5000 6000 7000 8000 9000 10000
Linear Scalability Non-Linear Scalability (15 Contention)
- Confidential -
ldquoUsers really respond to speedrdquo
ndash Marissa Mayer VP Google
bull A brokerage can lose up to $4 million per millisecond of
latency
ndash The Tabb Group
bullAn additional 500 ms latency resulted in -20 traffic
ndash Google
bull An additional 100 ms in latency resulted in -1 sales
ndash Amazon
The Need for Speed
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
An Actual Oracle Press Release No Kidding
bull [Numbers in brackets are COST PER CPU]
bull ldquoQtraxs implementation includes Oracle Database [$175k to $475k]
Oracle Real Application Clusters [$23k] Oracle Enterprise Manager [$35 to
$20k+] and components of Oracle Fusion Middleware [] including Oracle
Application Server [$10k to $30k] and Oracle Coherence [$4k to $25k] With
this software now in place Qtrax will have the ability to support millions of
concurrent users [they better] ldquo
bull Total $58K to $1455k+ per CPU
bull And donrsquot forget 22 annual support feeshellip
- Confidential -
Cloud Computing
- Confidential -
Cloud Computing
bull Key Elements
ndash Architecture Virtualization on demand provisioning distributed computing
(parallel processing data partitioning)
ndash Business model Utility ndash usage-based or subscription
bull Three sub-categories of cloud computing
ndash Software-as-a-Service applications
ndash Platform-as-a-Service middleware databases
ndash Infrastructure-as-a-Service (hardware + OS + virtualization)
bull Economic drivers
ndash Cloud providers benefit from economies of scale and expertise
ndash Only pay for what you need when you need it
ndash Rapid time-to-value
- Confidential -
Amazon Elastic Compute Cloud (EC2)
bull Rent infrastructure with a pay-per-usage model
ndash Compute Bandwidth Storage Messages etc
bull The Amazon Machine Image (AMI)
ndash Virtual resource (Hardware and Memory) which can be rapidly deployed as
needed
ndash Comes in several sizes
bull EC2 is a part of Amazon Web Services
ndash Simple Storage Service (S3)
ndash Simple Queue Service (SQS)
ndash Amazon SimpleDB (SDB)
ndash Flexible Payments Service (FPS)
bull Two unique aspects
ndash Open to third-parties
ndash No human interaction ndash just enter a credit card with no complex contracts
- Confidential -
Reality or Hype
bull Like all big innovative technologies will go through a hype cycle
bull We are definitely nearing the ldquopeak of inflated expectationsrdquo
bull Howeverhellip
bull Gartner ldquoBy 2012 80 percent of Fortune 1000 companies will pay
for some cloud computing service and 30 percent of them will pay
for cloud computing infrastructurerdquo
- Confidential -
Massive Investments in Cloud Computing
bull Amazon Amazon Web Services (EC2 S3 SQS SimpleDB and more)
bull Google Google Apps (SaaS) Google App Engine (APaaS)
bull Intuit $300+ million investment
bull Salesforcecom
bull Microsoft Windows Live (SaaS) SQL Server Data Services (APaaS) Windows
Cloud
bull IBM ldquoBlue Cloudrdquo (APaaS)
bull HP Adaptive Infrastructure as a Service (IaaS) EDS
bull Sun Networkcom (IaaS) Project Caroline (APaaS)
bull EMC Storage cloud
bull Dell
bull ISVs RedHat MySQL Sun Solaris and others on EC2
bull Telcos ATampT BT
bull Start-Ups and Smaller Vendors Joyent Flexiscale GoGrid and more
bull A growing eco-system RightScale Elastra CohesiveFT Eucalyptus 3Tera
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Global 1000 Companies Rely on GigaSpaces
- Confidential -
bull Software architecture is undergoing a ldquoonce in a decaderdquo transformation
bull IDC on Cloud Computing This is about the IT industrys new model for the next 20
years
ndash Vernon Turner head of enterprise infrastructure consumer and telecoms
research
Mainframe N-tierClient Server
Virtualized1980s 1990s 2000s
Market Trends
- Confidential -
Volatile and Unpredictable Application Loads
bull Transactions data and user growth - require greater investment
bull Volatile and unpredictable growth rates - add greater risk
bull How do you design and build applications that cost-effectively scale in such
conditions
bull Without compromising reliability performance and time-to-market
0
100000000
200000000
300000000
400000000
500000000
600000000
700000000
800000000
900000000
1000000000
1100000000
1200000000
1300000000
J-04 M-04 M-04 J-04 S-04 N-04 J-05 M-05 M-05 J-05 S-05 N-05 J-06 M-06 M-06 J-06 S-06 N-06 J-07 M-07 M-07 J-07 S-07
- Confidential -
Non-Scalable Applications Are Expensive and Risky
bull Non-scalable applications suffer from diminishing returns on added resources
bull As the business grows per transaction costs INCREASE
bull At some point the application will hit a wall leading to
ndash Application crashes (and potential disaster for the business ndash at huge cost)
ndash Expensive process of re-architecting the application every few monthsyears
Non-Linear Scalability (15 Contention)
$0
$200000
$400000
$600000
$800000
$1000000
$1200000
1000 2000 3000 4000 5000 6000 7000 8000 9000 10000
Required Throughput (eg TxSec)
To
tal S
olu
tio
n C
os
t
The Scalability
Wall
Server cost
$20000
Single server throughput
1000 txsec
Contention
15
- Confidential -
Scalability Disasters Are More Common Than Ever
bull Lost customers
bull Lost revenues
bull Brand damage
- Confidential -
Downtime Costs Can Easily Exceed $100K Per Hour
bull According to a 2004 Forrester survey of 235 companies the hourly
cost of downtime was
Percent of Companies Hourly Cost
33 $10K-100K
25 $100K-500K
13 $500K- 1M
4 gt$1M
25 Didnrsquot Know
- Confidential -
Gartner Highlights the Full Impact of Downtime
- Confidential -
Over-Provisioning is Rampant
bull Companies allocate high-end expensive servers to handle future capacity
bull The result average industry server utilization rates are15-20
bull The trend is changing utilization rates are growing due to virtualization
bull Companies that donrsquot achieve higher levels of utilization will be in a
competitive disadvantage
- Confidential -
The Goal Linear Scalability On Demand
bull No diminishing returns on scale
bull No code changes when scaling
bull Drop in another box and increase capacity linearly
1000 txsec2000 txsec3000 txsec4000 txsec
$0
$200000
$400000
$600000
$800000
$1000000
$1200000
1000 2000 3000 4000 5000 6000 7000 8000 9000 10000
Linear Scalability Non-Linear Scalability (15 Contention)
- Confidential -
ldquoUsers really respond to speedrdquo
ndash Marissa Mayer VP Google
bull A brokerage can lose up to $4 million per millisecond of
latency
ndash The Tabb Group
bullAn additional 500 ms latency resulted in -20 traffic
ndash Google
bull An additional 100 ms in latency resulted in -1 sales
ndash Amazon
The Need for Speed
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
An Actual Oracle Press Release No Kidding
bull [Numbers in brackets are COST PER CPU]
bull ldquoQtraxs implementation includes Oracle Database [$175k to $475k]
Oracle Real Application Clusters [$23k] Oracle Enterprise Manager [$35 to
$20k+] and components of Oracle Fusion Middleware [] including Oracle
Application Server [$10k to $30k] and Oracle Coherence [$4k to $25k] With
this software now in place Qtrax will have the ability to support millions of
concurrent users [they better] ldquo
bull Total $58K to $1455k+ per CPU
bull And donrsquot forget 22 annual support feeshellip
- Confidential -
Cloud Computing
- Confidential -
Cloud Computing
bull Key Elements
ndash Architecture Virtualization on demand provisioning distributed computing
(parallel processing data partitioning)
ndash Business model Utility ndash usage-based or subscription
bull Three sub-categories of cloud computing
ndash Software-as-a-Service applications
ndash Platform-as-a-Service middleware databases
ndash Infrastructure-as-a-Service (hardware + OS + virtualization)
bull Economic drivers
ndash Cloud providers benefit from economies of scale and expertise
ndash Only pay for what you need when you need it
ndash Rapid time-to-value
- Confidential -
Amazon Elastic Compute Cloud (EC2)
bull Rent infrastructure with a pay-per-usage model
ndash Compute Bandwidth Storage Messages etc
bull The Amazon Machine Image (AMI)
ndash Virtual resource (Hardware and Memory) which can be rapidly deployed as
needed
ndash Comes in several sizes
bull EC2 is a part of Amazon Web Services
ndash Simple Storage Service (S3)
ndash Simple Queue Service (SQS)
ndash Amazon SimpleDB (SDB)
ndash Flexible Payments Service (FPS)
bull Two unique aspects
ndash Open to third-parties
ndash No human interaction ndash just enter a credit card with no complex contracts
- Confidential -
Reality or Hype
bull Like all big innovative technologies will go through a hype cycle
bull We are definitely nearing the ldquopeak of inflated expectationsrdquo
bull Howeverhellip
bull Gartner ldquoBy 2012 80 percent of Fortune 1000 companies will pay
for some cloud computing service and 30 percent of them will pay
for cloud computing infrastructurerdquo
- Confidential -
Massive Investments in Cloud Computing
bull Amazon Amazon Web Services (EC2 S3 SQS SimpleDB and more)
bull Google Google Apps (SaaS) Google App Engine (APaaS)
bull Intuit $300+ million investment
bull Salesforcecom
bull Microsoft Windows Live (SaaS) SQL Server Data Services (APaaS) Windows
Cloud
bull IBM ldquoBlue Cloudrdquo (APaaS)
bull HP Adaptive Infrastructure as a Service (IaaS) EDS
bull Sun Networkcom (IaaS) Project Caroline (APaaS)
bull EMC Storage cloud
bull Dell
bull ISVs RedHat MySQL Sun Solaris and others on EC2
bull Telcos ATampT BT
bull Start-Ups and Smaller Vendors Joyent Flexiscale GoGrid and more
bull A growing eco-system RightScale Elastra CohesiveFT Eucalyptus 3Tera
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
bull Software architecture is undergoing a ldquoonce in a decaderdquo transformation
bull IDC on Cloud Computing This is about the IT industrys new model for the next 20
years
ndash Vernon Turner head of enterprise infrastructure consumer and telecoms
research
Mainframe N-tierClient Server
Virtualized1980s 1990s 2000s
Market Trends
- Confidential -
Volatile and Unpredictable Application Loads
bull Transactions data and user growth - require greater investment
bull Volatile and unpredictable growth rates - add greater risk
bull How do you design and build applications that cost-effectively scale in such
conditions
bull Without compromising reliability performance and time-to-market
0
100000000
200000000
300000000
400000000
500000000
600000000
700000000
800000000
900000000
1000000000
1100000000
1200000000
1300000000
J-04 M-04 M-04 J-04 S-04 N-04 J-05 M-05 M-05 J-05 S-05 N-05 J-06 M-06 M-06 J-06 S-06 N-06 J-07 M-07 M-07 J-07 S-07
- Confidential -
Non-Scalable Applications Are Expensive and Risky
bull Non-scalable applications suffer from diminishing returns on added resources
bull As the business grows per transaction costs INCREASE
bull At some point the application will hit a wall leading to
ndash Application crashes (and potential disaster for the business ndash at huge cost)
ndash Expensive process of re-architecting the application every few monthsyears
Non-Linear Scalability (15 Contention)
$0
$200000
$400000
$600000
$800000
$1000000
$1200000
1000 2000 3000 4000 5000 6000 7000 8000 9000 10000
Required Throughput (eg TxSec)
To
tal S
olu
tio
n C
os
t
The Scalability
Wall
Server cost
$20000
Single server throughput
1000 txsec
Contention
15
- Confidential -
Scalability Disasters Are More Common Than Ever
bull Lost customers
bull Lost revenues
bull Brand damage
- Confidential -
Downtime Costs Can Easily Exceed $100K Per Hour
bull According to a 2004 Forrester survey of 235 companies the hourly
cost of downtime was
Percent of Companies Hourly Cost
33 $10K-100K
25 $100K-500K
13 $500K- 1M
4 gt$1M
25 Didnrsquot Know
- Confidential -
Gartner Highlights the Full Impact of Downtime
- Confidential -
Over-Provisioning is Rampant
bull Companies allocate high-end expensive servers to handle future capacity
bull The result average industry server utilization rates are15-20
bull The trend is changing utilization rates are growing due to virtualization
bull Companies that donrsquot achieve higher levels of utilization will be in a
competitive disadvantage
- Confidential -
The Goal Linear Scalability On Demand
bull No diminishing returns on scale
bull No code changes when scaling
bull Drop in another box and increase capacity linearly
1000 txsec2000 txsec3000 txsec4000 txsec
$0
$200000
$400000
$600000
$800000
$1000000
$1200000
1000 2000 3000 4000 5000 6000 7000 8000 9000 10000
Linear Scalability Non-Linear Scalability (15 Contention)
- Confidential -
ldquoUsers really respond to speedrdquo
ndash Marissa Mayer VP Google
bull A brokerage can lose up to $4 million per millisecond of
latency
ndash The Tabb Group
bullAn additional 500 ms latency resulted in -20 traffic
ndash Google
bull An additional 100 ms in latency resulted in -1 sales
ndash Amazon
The Need for Speed
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
An Actual Oracle Press Release No Kidding
bull [Numbers in brackets are COST PER CPU]
bull ldquoQtraxs implementation includes Oracle Database [$175k to $475k]
Oracle Real Application Clusters [$23k] Oracle Enterprise Manager [$35 to
$20k+] and components of Oracle Fusion Middleware [] including Oracle
Application Server [$10k to $30k] and Oracle Coherence [$4k to $25k] With
this software now in place Qtrax will have the ability to support millions of
concurrent users [they better] ldquo
bull Total $58K to $1455k+ per CPU
bull And donrsquot forget 22 annual support feeshellip
- Confidential -
Cloud Computing
- Confidential -
Cloud Computing
bull Key Elements
ndash Architecture Virtualization on demand provisioning distributed computing
(parallel processing data partitioning)
ndash Business model Utility ndash usage-based or subscription
bull Three sub-categories of cloud computing
ndash Software-as-a-Service applications
ndash Platform-as-a-Service middleware databases
ndash Infrastructure-as-a-Service (hardware + OS + virtualization)
bull Economic drivers
ndash Cloud providers benefit from economies of scale and expertise
ndash Only pay for what you need when you need it
ndash Rapid time-to-value
- Confidential -
Amazon Elastic Compute Cloud (EC2)
bull Rent infrastructure with a pay-per-usage model
ndash Compute Bandwidth Storage Messages etc
bull The Amazon Machine Image (AMI)
ndash Virtual resource (Hardware and Memory) which can be rapidly deployed as
needed
ndash Comes in several sizes
bull EC2 is a part of Amazon Web Services
ndash Simple Storage Service (S3)
ndash Simple Queue Service (SQS)
ndash Amazon SimpleDB (SDB)
ndash Flexible Payments Service (FPS)
bull Two unique aspects
ndash Open to third-parties
ndash No human interaction ndash just enter a credit card with no complex contracts
- Confidential -
Reality or Hype
bull Like all big innovative technologies will go through a hype cycle
bull We are definitely nearing the ldquopeak of inflated expectationsrdquo
bull Howeverhellip
bull Gartner ldquoBy 2012 80 percent of Fortune 1000 companies will pay
for some cloud computing service and 30 percent of them will pay
for cloud computing infrastructurerdquo
- Confidential -
Massive Investments in Cloud Computing
bull Amazon Amazon Web Services (EC2 S3 SQS SimpleDB and more)
bull Google Google Apps (SaaS) Google App Engine (APaaS)
bull Intuit $300+ million investment
bull Salesforcecom
bull Microsoft Windows Live (SaaS) SQL Server Data Services (APaaS) Windows
Cloud
bull IBM ldquoBlue Cloudrdquo (APaaS)
bull HP Adaptive Infrastructure as a Service (IaaS) EDS
bull Sun Networkcom (IaaS) Project Caroline (APaaS)
bull EMC Storage cloud
bull Dell
bull ISVs RedHat MySQL Sun Solaris and others on EC2
bull Telcos ATampT BT
bull Start-Ups and Smaller Vendors Joyent Flexiscale GoGrid and more
bull A growing eco-system RightScale Elastra CohesiveFT Eucalyptus 3Tera
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Volatile and Unpredictable Application Loads
bull Transactions data and user growth - require greater investment
bull Volatile and unpredictable growth rates - add greater risk
bull How do you design and build applications that cost-effectively scale in such
conditions
bull Without compromising reliability performance and time-to-market
0
100000000
200000000
300000000
400000000
500000000
600000000
700000000
800000000
900000000
1000000000
1100000000
1200000000
1300000000
J-04 M-04 M-04 J-04 S-04 N-04 J-05 M-05 M-05 J-05 S-05 N-05 J-06 M-06 M-06 J-06 S-06 N-06 J-07 M-07 M-07 J-07 S-07
- Confidential -
Non-Scalable Applications Are Expensive and Risky
bull Non-scalable applications suffer from diminishing returns on added resources
bull As the business grows per transaction costs INCREASE
bull At some point the application will hit a wall leading to
ndash Application crashes (and potential disaster for the business ndash at huge cost)
ndash Expensive process of re-architecting the application every few monthsyears
Non-Linear Scalability (15 Contention)
$0
$200000
$400000
$600000
$800000
$1000000
$1200000
1000 2000 3000 4000 5000 6000 7000 8000 9000 10000
Required Throughput (eg TxSec)
To
tal S
olu
tio
n C
os
t
The Scalability
Wall
Server cost
$20000
Single server throughput
1000 txsec
Contention
15
- Confidential -
Scalability Disasters Are More Common Than Ever
bull Lost customers
bull Lost revenues
bull Brand damage
- Confidential -
Downtime Costs Can Easily Exceed $100K Per Hour
bull According to a 2004 Forrester survey of 235 companies the hourly
cost of downtime was
Percent of Companies Hourly Cost
33 $10K-100K
25 $100K-500K
13 $500K- 1M
4 gt$1M
25 Didnrsquot Know
- Confidential -
Gartner Highlights the Full Impact of Downtime
- Confidential -
Over-Provisioning is Rampant
bull Companies allocate high-end expensive servers to handle future capacity
bull The result average industry server utilization rates are15-20
bull The trend is changing utilization rates are growing due to virtualization
bull Companies that donrsquot achieve higher levels of utilization will be in a
competitive disadvantage
- Confidential -
The Goal Linear Scalability On Demand
bull No diminishing returns on scale
bull No code changes when scaling
bull Drop in another box and increase capacity linearly
1000 txsec2000 txsec3000 txsec4000 txsec
$0
$200000
$400000
$600000
$800000
$1000000
$1200000
1000 2000 3000 4000 5000 6000 7000 8000 9000 10000
Linear Scalability Non-Linear Scalability (15 Contention)
- Confidential -
ldquoUsers really respond to speedrdquo
ndash Marissa Mayer VP Google
bull A brokerage can lose up to $4 million per millisecond of
latency
ndash The Tabb Group
bullAn additional 500 ms latency resulted in -20 traffic
ndash Google
bull An additional 100 ms in latency resulted in -1 sales
ndash Amazon
The Need for Speed
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
An Actual Oracle Press Release No Kidding
bull [Numbers in brackets are COST PER CPU]
bull ldquoQtraxs implementation includes Oracle Database [$175k to $475k]
Oracle Real Application Clusters [$23k] Oracle Enterprise Manager [$35 to
$20k+] and components of Oracle Fusion Middleware [] including Oracle
Application Server [$10k to $30k] and Oracle Coherence [$4k to $25k] With
this software now in place Qtrax will have the ability to support millions of
concurrent users [they better] ldquo
bull Total $58K to $1455k+ per CPU
bull And donrsquot forget 22 annual support feeshellip
- Confidential -
Cloud Computing
- Confidential -
Cloud Computing
bull Key Elements
ndash Architecture Virtualization on demand provisioning distributed computing
(parallel processing data partitioning)
ndash Business model Utility ndash usage-based or subscription
bull Three sub-categories of cloud computing
ndash Software-as-a-Service applications
ndash Platform-as-a-Service middleware databases
ndash Infrastructure-as-a-Service (hardware + OS + virtualization)
bull Economic drivers
ndash Cloud providers benefit from economies of scale and expertise
ndash Only pay for what you need when you need it
ndash Rapid time-to-value
- Confidential -
Amazon Elastic Compute Cloud (EC2)
bull Rent infrastructure with a pay-per-usage model
ndash Compute Bandwidth Storage Messages etc
bull The Amazon Machine Image (AMI)
ndash Virtual resource (Hardware and Memory) which can be rapidly deployed as
needed
ndash Comes in several sizes
bull EC2 is a part of Amazon Web Services
ndash Simple Storage Service (S3)
ndash Simple Queue Service (SQS)
ndash Amazon SimpleDB (SDB)
ndash Flexible Payments Service (FPS)
bull Two unique aspects
ndash Open to third-parties
ndash No human interaction ndash just enter a credit card with no complex contracts
- Confidential -
Reality or Hype
bull Like all big innovative technologies will go through a hype cycle
bull We are definitely nearing the ldquopeak of inflated expectationsrdquo
bull Howeverhellip
bull Gartner ldquoBy 2012 80 percent of Fortune 1000 companies will pay
for some cloud computing service and 30 percent of them will pay
for cloud computing infrastructurerdquo
- Confidential -
Massive Investments in Cloud Computing
bull Amazon Amazon Web Services (EC2 S3 SQS SimpleDB and more)
bull Google Google Apps (SaaS) Google App Engine (APaaS)
bull Intuit $300+ million investment
bull Salesforcecom
bull Microsoft Windows Live (SaaS) SQL Server Data Services (APaaS) Windows
Cloud
bull IBM ldquoBlue Cloudrdquo (APaaS)
bull HP Adaptive Infrastructure as a Service (IaaS) EDS
bull Sun Networkcom (IaaS) Project Caroline (APaaS)
bull EMC Storage cloud
bull Dell
bull ISVs RedHat MySQL Sun Solaris and others on EC2
bull Telcos ATampT BT
bull Start-Ups and Smaller Vendors Joyent Flexiscale GoGrid and more
bull A growing eco-system RightScale Elastra CohesiveFT Eucalyptus 3Tera
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Non-Scalable Applications Are Expensive and Risky
bull Non-scalable applications suffer from diminishing returns on added resources
bull As the business grows per transaction costs INCREASE
bull At some point the application will hit a wall leading to
ndash Application crashes (and potential disaster for the business ndash at huge cost)
ndash Expensive process of re-architecting the application every few monthsyears
Non-Linear Scalability (15 Contention)
$0
$200000
$400000
$600000
$800000
$1000000
$1200000
1000 2000 3000 4000 5000 6000 7000 8000 9000 10000
Required Throughput (eg TxSec)
To
tal S
olu
tio
n C
os
t
The Scalability
Wall
Server cost
$20000
Single server throughput
1000 txsec
Contention
15
- Confidential -
Scalability Disasters Are More Common Than Ever
bull Lost customers
bull Lost revenues
bull Brand damage
- Confidential -
Downtime Costs Can Easily Exceed $100K Per Hour
bull According to a 2004 Forrester survey of 235 companies the hourly
cost of downtime was
Percent of Companies Hourly Cost
33 $10K-100K
25 $100K-500K
13 $500K- 1M
4 gt$1M
25 Didnrsquot Know
- Confidential -
Gartner Highlights the Full Impact of Downtime
- Confidential -
Over-Provisioning is Rampant
bull Companies allocate high-end expensive servers to handle future capacity
bull The result average industry server utilization rates are15-20
bull The trend is changing utilization rates are growing due to virtualization
bull Companies that donrsquot achieve higher levels of utilization will be in a
competitive disadvantage
- Confidential -
The Goal Linear Scalability On Demand
bull No diminishing returns on scale
bull No code changes when scaling
bull Drop in another box and increase capacity linearly
1000 txsec2000 txsec3000 txsec4000 txsec
$0
$200000
$400000
$600000
$800000
$1000000
$1200000
1000 2000 3000 4000 5000 6000 7000 8000 9000 10000
Linear Scalability Non-Linear Scalability (15 Contention)
- Confidential -
ldquoUsers really respond to speedrdquo
ndash Marissa Mayer VP Google
bull A brokerage can lose up to $4 million per millisecond of
latency
ndash The Tabb Group
bullAn additional 500 ms latency resulted in -20 traffic
ndash Google
bull An additional 100 ms in latency resulted in -1 sales
ndash Amazon
The Need for Speed
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
An Actual Oracle Press Release No Kidding
bull [Numbers in brackets are COST PER CPU]
bull ldquoQtraxs implementation includes Oracle Database [$175k to $475k]
Oracle Real Application Clusters [$23k] Oracle Enterprise Manager [$35 to
$20k+] and components of Oracle Fusion Middleware [] including Oracle
Application Server [$10k to $30k] and Oracle Coherence [$4k to $25k] With
this software now in place Qtrax will have the ability to support millions of
concurrent users [they better] ldquo
bull Total $58K to $1455k+ per CPU
bull And donrsquot forget 22 annual support feeshellip
- Confidential -
Cloud Computing
- Confidential -
Cloud Computing
bull Key Elements
ndash Architecture Virtualization on demand provisioning distributed computing
(parallel processing data partitioning)
ndash Business model Utility ndash usage-based or subscription
bull Three sub-categories of cloud computing
ndash Software-as-a-Service applications
ndash Platform-as-a-Service middleware databases
ndash Infrastructure-as-a-Service (hardware + OS + virtualization)
bull Economic drivers
ndash Cloud providers benefit from economies of scale and expertise
ndash Only pay for what you need when you need it
ndash Rapid time-to-value
- Confidential -
Amazon Elastic Compute Cloud (EC2)
bull Rent infrastructure with a pay-per-usage model
ndash Compute Bandwidth Storage Messages etc
bull The Amazon Machine Image (AMI)
ndash Virtual resource (Hardware and Memory) which can be rapidly deployed as
needed
ndash Comes in several sizes
bull EC2 is a part of Amazon Web Services
ndash Simple Storage Service (S3)
ndash Simple Queue Service (SQS)
ndash Amazon SimpleDB (SDB)
ndash Flexible Payments Service (FPS)
bull Two unique aspects
ndash Open to third-parties
ndash No human interaction ndash just enter a credit card with no complex contracts
- Confidential -
Reality or Hype
bull Like all big innovative technologies will go through a hype cycle
bull We are definitely nearing the ldquopeak of inflated expectationsrdquo
bull Howeverhellip
bull Gartner ldquoBy 2012 80 percent of Fortune 1000 companies will pay
for some cloud computing service and 30 percent of them will pay
for cloud computing infrastructurerdquo
- Confidential -
Massive Investments in Cloud Computing
bull Amazon Amazon Web Services (EC2 S3 SQS SimpleDB and more)
bull Google Google Apps (SaaS) Google App Engine (APaaS)
bull Intuit $300+ million investment
bull Salesforcecom
bull Microsoft Windows Live (SaaS) SQL Server Data Services (APaaS) Windows
Cloud
bull IBM ldquoBlue Cloudrdquo (APaaS)
bull HP Adaptive Infrastructure as a Service (IaaS) EDS
bull Sun Networkcom (IaaS) Project Caroline (APaaS)
bull EMC Storage cloud
bull Dell
bull ISVs RedHat MySQL Sun Solaris and others on EC2
bull Telcos ATampT BT
bull Start-Ups and Smaller Vendors Joyent Flexiscale GoGrid and more
bull A growing eco-system RightScale Elastra CohesiveFT Eucalyptus 3Tera
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Scalability Disasters Are More Common Than Ever
bull Lost customers
bull Lost revenues
bull Brand damage
- Confidential -
Downtime Costs Can Easily Exceed $100K Per Hour
bull According to a 2004 Forrester survey of 235 companies the hourly
cost of downtime was
Percent of Companies Hourly Cost
33 $10K-100K
25 $100K-500K
13 $500K- 1M
4 gt$1M
25 Didnrsquot Know
- Confidential -
Gartner Highlights the Full Impact of Downtime
- Confidential -
Over-Provisioning is Rampant
bull Companies allocate high-end expensive servers to handle future capacity
bull The result average industry server utilization rates are15-20
bull The trend is changing utilization rates are growing due to virtualization
bull Companies that donrsquot achieve higher levels of utilization will be in a
competitive disadvantage
- Confidential -
The Goal Linear Scalability On Demand
bull No diminishing returns on scale
bull No code changes when scaling
bull Drop in another box and increase capacity linearly
1000 txsec2000 txsec3000 txsec4000 txsec
$0
$200000
$400000
$600000
$800000
$1000000
$1200000
1000 2000 3000 4000 5000 6000 7000 8000 9000 10000
Linear Scalability Non-Linear Scalability (15 Contention)
- Confidential -
ldquoUsers really respond to speedrdquo
ndash Marissa Mayer VP Google
bull A brokerage can lose up to $4 million per millisecond of
latency
ndash The Tabb Group
bullAn additional 500 ms latency resulted in -20 traffic
ndash Google
bull An additional 100 ms in latency resulted in -1 sales
ndash Amazon
The Need for Speed
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
An Actual Oracle Press Release No Kidding
bull [Numbers in brackets are COST PER CPU]
bull ldquoQtraxs implementation includes Oracle Database [$175k to $475k]
Oracle Real Application Clusters [$23k] Oracle Enterprise Manager [$35 to
$20k+] and components of Oracle Fusion Middleware [] including Oracle
Application Server [$10k to $30k] and Oracle Coherence [$4k to $25k] With
this software now in place Qtrax will have the ability to support millions of
concurrent users [they better] ldquo
bull Total $58K to $1455k+ per CPU
bull And donrsquot forget 22 annual support feeshellip
- Confidential -
Cloud Computing
- Confidential -
Cloud Computing
bull Key Elements
ndash Architecture Virtualization on demand provisioning distributed computing
(parallel processing data partitioning)
ndash Business model Utility ndash usage-based or subscription
bull Three sub-categories of cloud computing
ndash Software-as-a-Service applications
ndash Platform-as-a-Service middleware databases
ndash Infrastructure-as-a-Service (hardware + OS + virtualization)
bull Economic drivers
ndash Cloud providers benefit from economies of scale and expertise
ndash Only pay for what you need when you need it
ndash Rapid time-to-value
- Confidential -
Amazon Elastic Compute Cloud (EC2)
bull Rent infrastructure with a pay-per-usage model
ndash Compute Bandwidth Storage Messages etc
bull The Amazon Machine Image (AMI)
ndash Virtual resource (Hardware and Memory) which can be rapidly deployed as
needed
ndash Comes in several sizes
bull EC2 is a part of Amazon Web Services
ndash Simple Storage Service (S3)
ndash Simple Queue Service (SQS)
ndash Amazon SimpleDB (SDB)
ndash Flexible Payments Service (FPS)
bull Two unique aspects
ndash Open to third-parties
ndash No human interaction ndash just enter a credit card with no complex contracts
- Confidential -
Reality or Hype
bull Like all big innovative technologies will go through a hype cycle
bull We are definitely nearing the ldquopeak of inflated expectationsrdquo
bull Howeverhellip
bull Gartner ldquoBy 2012 80 percent of Fortune 1000 companies will pay
for some cloud computing service and 30 percent of them will pay
for cloud computing infrastructurerdquo
- Confidential -
Massive Investments in Cloud Computing
bull Amazon Amazon Web Services (EC2 S3 SQS SimpleDB and more)
bull Google Google Apps (SaaS) Google App Engine (APaaS)
bull Intuit $300+ million investment
bull Salesforcecom
bull Microsoft Windows Live (SaaS) SQL Server Data Services (APaaS) Windows
Cloud
bull IBM ldquoBlue Cloudrdquo (APaaS)
bull HP Adaptive Infrastructure as a Service (IaaS) EDS
bull Sun Networkcom (IaaS) Project Caroline (APaaS)
bull EMC Storage cloud
bull Dell
bull ISVs RedHat MySQL Sun Solaris and others on EC2
bull Telcos ATampT BT
bull Start-Ups and Smaller Vendors Joyent Flexiscale GoGrid and more
bull A growing eco-system RightScale Elastra CohesiveFT Eucalyptus 3Tera
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Downtime Costs Can Easily Exceed $100K Per Hour
bull According to a 2004 Forrester survey of 235 companies the hourly
cost of downtime was
Percent of Companies Hourly Cost
33 $10K-100K
25 $100K-500K
13 $500K- 1M
4 gt$1M
25 Didnrsquot Know
- Confidential -
Gartner Highlights the Full Impact of Downtime
- Confidential -
Over-Provisioning is Rampant
bull Companies allocate high-end expensive servers to handle future capacity
bull The result average industry server utilization rates are15-20
bull The trend is changing utilization rates are growing due to virtualization
bull Companies that donrsquot achieve higher levels of utilization will be in a
competitive disadvantage
- Confidential -
The Goal Linear Scalability On Demand
bull No diminishing returns on scale
bull No code changes when scaling
bull Drop in another box and increase capacity linearly
1000 txsec2000 txsec3000 txsec4000 txsec
$0
$200000
$400000
$600000
$800000
$1000000
$1200000
1000 2000 3000 4000 5000 6000 7000 8000 9000 10000
Linear Scalability Non-Linear Scalability (15 Contention)
- Confidential -
ldquoUsers really respond to speedrdquo
ndash Marissa Mayer VP Google
bull A brokerage can lose up to $4 million per millisecond of
latency
ndash The Tabb Group
bullAn additional 500 ms latency resulted in -20 traffic
ndash Google
bull An additional 100 ms in latency resulted in -1 sales
ndash Amazon
The Need for Speed
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
An Actual Oracle Press Release No Kidding
bull [Numbers in brackets are COST PER CPU]
bull ldquoQtraxs implementation includes Oracle Database [$175k to $475k]
Oracle Real Application Clusters [$23k] Oracle Enterprise Manager [$35 to
$20k+] and components of Oracle Fusion Middleware [] including Oracle
Application Server [$10k to $30k] and Oracle Coherence [$4k to $25k] With
this software now in place Qtrax will have the ability to support millions of
concurrent users [they better] ldquo
bull Total $58K to $1455k+ per CPU
bull And donrsquot forget 22 annual support feeshellip
- Confidential -
Cloud Computing
- Confidential -
Cloud Computing
bull Key Elements
ndash Architecture Virtualization on demand provisioning distributed computing
(parallel processing data partitioning)
ndash Business model Utility ndash usage-based or subscription
bull Three sub-categories of cloud computing
ndash Software-as-a-Service applications
ndash Platform-as-a-Service middleware databases
ndash Infrastructure-as-a-Service (hardware + OS + virtualization)
bull Economic drivers
ndash Cloud providers benefit from economies of scale and expertise
ndash Only pay for what you need when you need it
ndash Rapid time-to-value
- Confidential -
Amazon Elastic Compute Cloud (EC2)
bull Rent infrastructure with a pay-per-usage model
ndash Compute Bandwidth Storage Messages etc
bull The Amazon Machine Image (AMI)
ndash Virtual resource (Hardware and Memory) which can be rapidly deployed as
needed
ndash Comes in several sizes
bull EC2 is a part of Amazon Web Services
ndash Simple Storage Service (S3)
ndash Simple Queue Service (SQS)
ndash Amazon SimpleDB (SDB)
ndash Flexible Payments Service (FPS)
bull Two unique aspects
ndash Open to third-parties
ndash No human interaction ndash just enter a credit card with no complex contracts
- Confidential -
Reality or Hype
bull Like all big innovative technologies will go through a hype cycle
bull We are definitely nearing the ldquopeak of inflated expectationsrdquo
bull Howeverhellip
bull Gartner ldquoBy 2012 80 percent of Fortune 1000 companies will pay
for some cloud computing service and 30 percent of them will pay
for cloud computing infrastructurerdquo
- Confidential -
Massive Investments in Cloud Computing
bull Amazon Amazon Web Services (EC2 S3 SQS SimpleDB and more)
bull Google Google Apps (SaaS) Google App Engine (APaaS)
bull Intuit $300+ million investment
bull Salesforcecom
bull Microsoft Windows Live (SaaS) SQL Server Data Services (APaaS) Windows
Cloud
bull IBM ldquoBlue Cloudrdquo (APaaS)
bull HP Adaptive Infrastructure as a Service (IaaS) EDS
bull Sun Networkcom (IaaS) Project Caroline (APaaS)
bull EMC Storage cloud
bull Dell
bull ISVs RedHat MySQL Sun Solaris and others on EC2
bull Telcos ATampT BT
bull Start-Ups and Smaller Vendors Joyent Flexiscale GoGrid and more
bull A growing eco-system RightScale Elastra CohesiveFT Eucalyptus 3Tera
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Gartner Highlights the Full Impact of Downtime
- Confidential -
Over-Provisioning is Rampant
bull Companies allocate high-end expensive servers to handle future capacity
bull The result average industry server utilization rates are15-20
bull The trend is changing utilization rates are growing due to virtualization
bull Companies that donrsquot achieve higher levels of utilization will be in a
competitive disadvantage
- Confidential -
The Goal Linear Scalability On Demand
bull No diminishing returns on scale
bull No code changes when scaling
bull Drop in another box and increase capacity linearly
1000 txsec2000 txsec3000 txsec4000 txsec
$0
$200000
$400000
$600000
$800000
$1000000
$1200000
1000 2000 3000 4000 5000 6000 7000 8000 9000 10000
Linear Scalability Non-Linear Scalability (15 Contention)
- Confidential -
ldquoUsers really respond to speedrdquo
ndash Marissa Mayer VP Google
bull A brokerage can lose up to $4 million per millisecond of
latency
ndash The Tabb Group
bullAn additional 500 ms latency resulted in -20 traffic
ndash Google
bull An additional 100 ms in latency resulted in -1 sales
ndash Amazon
The Need for Speed
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
An Actual Oracle Press Release No Kidding
bull [Numbers in brackets are COST PER CPU]
bull ldquoQtraxs implementation includes Oracle Database [$175k to $475k]
Oracle Real Application Clusters [$23k] Oracle Enterprise Manager [$35 to
$20k+] and components of Oracle Fusion Middleware [] including Oracle
Application Server [$10k to $30k] and Oracle Coherence [$4k to $25k] With
this software now in place Qtrax will have the ability to support millions of
concurrent users [they better] ldquo
bull Total $58K to $1455k+ per CPU
bull And donrsquot forget 22 annual support feeshellip
- Confidential -
Cloud Computing
- Confidential -
Cloud Computing
bull Key Elements
ndash Architecture Virtualization on demand provisioning distributed computing
(parallel processing data partitioning)
ndash Business model Utility ndash usage-based or subscription
bull Three sub-categories of cloud computing
ndash Software-as-a-Service applications
ndash Platform-as-a-Service middleware databases
ndash Infrastructure-as-a-Service (hardware + OS + virtualization)
bull Economic drivers
ndash Cloud providers benefit from economies of scale and expertise
ndash Only pay for what you need when you need it
ndash Rapid time-to-value
- Confidential -
Amazon Elastic Compute Cloud (EC2)
bull Rent infrastructure with a pay-per-usage model
ndash Compute Bandwidth Storage Messages etc
bull The Amazon Machine Image (AMI)
ndash Virtual resource (Hardware and Memory) which can be rapidly deployed as
needed
ndash Comes in several sizes
bull EC2 is a part of Amazon Web Services
ndash Simple Storage Service (S3)
ndash Simple Queue Service (SQS)
ndash Amazon SimpleDB (SDB)
ndash Flexible Payments Service (FPS)
bull Two unique aspects
ndash Open to third-parties
ndash No human interaction ndash just enter a credit card with no complex contracts
- Confidential -
Reality or Hype
bull Like all big innovative technologies will go through a hype cycle
bull We are definitely nearing the ldquopeak of inflated expectationsrdquo
bull Howeverhellip
bull Gartner ldquoBy 2012 80 percent of Fortune 1000 companies will pay
for some cloud computing service and 30 percent of them will pay
for cloud computing infrastructurerdquo
- Confidential -
Massive Investments in Cloud Computing
bull Amazon Amazon Web Services (EC2 S3 SQS SimpleDB and more)
bull Google Google Apps (SaaS) Google App Engine (APaaS)
bull Intuit $300+ million investment
bull Salesforcecom
bull Microsoft Windows Live (SaaS) SQL Server Data Services (APaaS) Windows
Cloud
bull IBM ldquoBlue Cloudrdquo (APaaS)
bull HP Adaptive Infrastructure as a Service (IaaS) EDS
bull Sun Networkcom (IaaS) Project Caroline (APaaS)
bull EMC Storage cloud
bull Dell
bull ISVs RedHat MySQL Sun Solaris and others on EC2
bull Telcos ATampT BT
bull Start-Ups and Smaller Vendors Joyent Flexiscale GoGrid and more
bull A growing eco-system RightScale Elastra CohesiveFT Eucalyptus 3Tera
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Over-Provisioning is Rampant
bull Companies allocate high-end expensive servers to handle future capacity
bull The result average industry server utilization rates are15-20
bull The trend is changing utilization rates are growing due to virtualization
bull Companies that donrsquot achieve higher levels of utilization will be in a
competitive disadvantage
- Confidential -
The Goal Linear Scalability On Demand
bull No diminishing returns on scale
bull No code changes when scaling
bull Drop in another box and increase capacity linearly
1000 txsec2000 txsec3000 txsec4000 txsec
$0
$200000
$400000
$600000
$800000
$1000000
$1200000
1000 2000 3000 4000 5000 6000 7000 8000 9000 10000
Linear Scalability Non-Linear Scalability (15 Contention)
- Confidential -
ldquoUsers really respond to speedrdquo
ndash Marissa Mayer VP Google
bull A brokerage can lose up to $4 million per millisecond of
latency
ndash The Tabb Group
bullAn additional 500 ms latency resulted in -20 traffic
ndash Google
bull An additional 100 ms in latency resulted in -1 sales
ndash Amazon
The Need for Speed
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
An Actual Oracle Press Release No Kidding
bull [Numbers in brackets are COST PER CPU]
bull ldquoQtraxs implementation includes Oracle Database [$175k to $475k]
Oracle Real Application Clusters [$23k] Oracle Enterprise Manager [$35 to
$20k+] and components of Oracle Fusion Middleware [] including Oracle
Application Server [$10k to $30k] and Oracle Coherence [$4k to $25k] With
this software now in place Qtrax will have the ability to support millions of
concurrent users [they better] ldquo
bull Total $58K to $1455k+ per CPU
bull And donrsquot forget 22 annual support feeshellip
- Confidential -
Cloud Computing
- Confidential -
Cloud Computing
bull Key Elements
ndash Architecture Virtualization on demand provisioning distributed computing
(parallel processing data partitioning)
ndash Business model Utility ndash usage-based or subscription
bull Three sub-categories of cloud computing
ndash Software-as-a-Service applications
ndash Platform-as-a-Service middleware databases
ndash Infrastructure-as-a-Service (hardware + OS + virtualization)
bull Economic drivers
ndash Cloud providers benefit from economies of scale and expertise
ndash Only pay for what you need when you need it
ndash Rapid time-to-value
- Confidential -
Amazon Elastic Compute Cloud (EC2)
bull Rent infrastructure with a pay-per-usage model
ndash Compute Bandwidth Storage Messages etc
bull The Amazon Machine Image (AMI)
ndash Virtual resource (Hardware and Memory) which can be rapidly deployed as
needed
ndash Comes in several sizes
bull EC2 is a part of Amazon Web Services
ndash Simple Storage Service (S3)
ndash Simple Queue Service (SQS)
ndash Amazon SimpleDB (SDB)
ndash Flexible Payments Service (FPS)
bull Two unique aspects
ndash Open to third-parties
ndash No human interaction ndash just enter a credit card with no complex contracts
- Confidential -
Reality or Hype
bull Like all big innovative technologies will go through a hype cycle
bull We are definitely nearing the ldquopeak of inflated expectationsrdquo
bull Howeverhellip
bull Gartner ldquoBy 2012 80 percent of Fortune 1000 companies will pay
for some cloud computing service and 30 percent of them will pay
for cloud computing infrastructurerdquo
- Confidential -
Massive Investments in Cloud Computing
bull Amazon Amazon Web Services (EC2 S3 SQS SimpleDB and more)
bull Google Google Apps (SaaS) Google App Engine (APaaS)
bull Intuit $300+ million investment
bull Salesforcecom
bull Microsoft Windows Live (SaaS) SQL Server Data Services (APaaS) Windows
Cloud
bull IBM ldquoBlue Cloudrdquo (APaaS)
bull HP Adaptive Infrastructure as a Service (IaaS) EDS
bull Sun Networkcom (IaaS) Project Caroline (APaaS)
bull EMC Storage cloud
bull Dell
bull ISVs RedHat MySQL Sun Solaris and others on EC2
bull Telcos ATampT BT
bull Start-Ups and Smaller Vendors Joyent Flexiscale GoGrid and more
bull A growing eco-system RightScale Elastra CohesiveFT Eucalyptus 3Tera
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
The Goal Linear Scalability On Demand
bull No diminishing returns on scale
bull No code changes when scaling
bull Drop in another box and increase capacity linearly
1000 txsec2000 txsec3000 txsec4000 txsec
$0
$200000
$400000
$600000
$800000
$1000000
$1200000
1000 2000 3000 4000 5000 6000 7000 8000 9000 10000
Linear Scalability Non-Linear Scalability (15 Contention)
- Confidential -
ldquoUsers really respond to speedrdquo
ndash Marissa Mayer VP Google
bull A brokerage can lose up to $4 million per millisecond of
latency
ndash The Tabb Group
bullAn additional 500 ms latency resulted in -20 traffic
ndash Google
bull An additional 100 ms in latency resulted in -1 sales
ndash Amazon
The Need for Speed
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
An Actual Oracle Press Release No Kidding
bull [Numbers in brackets are COST PER CPU]
bull ldquoQtraxs implementation includes Oracle Database [$175k to $475k]
Oracle Real Application Clusters [$23k] Oracle Enterprise Manager [$35 to
$20k+] and components of Oracle Fusion Middleware [] including Oracle
Application Server [$10k to $30k] and Oracle Coherence [$4k to $25k] With
this software now in place Qtrax will have the ability to support millions of
concurrent users [they better] ldquo
bull Total $58K to $1455k+ per CPU
bull And donrsquot forget 22 annual support feeshellip
- Confidential -
Cloud Computing
- Confidential -
Cloud Computing
bull Key Elements
ndash Architecture Virtualization on demand provisioning distributed computing
(parallel processing data partitioning)
ndash Business model Utility ndash usage-based or subscription
bull Three sub-categories of cloud computing
ndash Software-as-a-Service applications
ndash Platform-as-a-Service middleware databases
ndash Infrastructure-as-a-Service (hardware + OS + virtualization)
bull Economic drivers
ndash Cloud providers benefit from economies of scale and expertise
ndash Only pay for what you need when you need it
ndash Rapid time-to-value
- Confidential -
Amazon Elastic Compute Cloud (EC2)
bull Rent infrastructure with a pay-per-usage model
ndash Compute Bandwidth Storage Messages etc
bull The Amazon Machine Image (AMI)
ndash Virtual resource (Hardware and Memory) which can be rapidly deployed as
needed
ndash Comes in several sizes
bull EC2 is a part of Amazon Web Services
ndash Simple Storage Service (S3)
ndash Simple Queue Service (SQS)
ndash Amazon SimpleDB (SDB)
ndash Flexible Payments Service (FPS)
bull Two unique aspects
ndash Open to third-parties
ndash No human interaction ndash just enter a credit card with no complex contracts
- Confidential -
Reality or Hype
bull Like all big innovative technologies will go through a hype cycle
bull We are definitely nearing the ldquopeak of inflated expectationsrdquo
bull Howeverhellip
bull Gartner ldquoBy 2012 80 percent of Fortune 1000 companies will pay
for some cloud computing service and 30 percent of them will pay
for cloud computing infrastructurerdquo
- Confidential -
Massive Investments in Cloud Computing
bull Amazon Amazon Web Services (EC2 S3 SQS SimpleDB and more)
bull Google Google Apps (SaaS) Google App Engine (APaaS)
bull Intuit $300+ million investment
bull Salesforcecom
bull Microsoft Windows Live (SaaS) SQL Server Data Services (APaaS) Windows
Cloud
bull IBM ldquoBlue Cloudrdquo (APaaS)
bull HP Adaptive Infrastructure as a Service (IaaS) EDS
bull Sun Networkcom (IaaS) Project Caroline (APaaS)
bull EMC Storage cloud
bull Dell
bull ISVs RedHat MySQL Sun Solaris and others on EC2
bull Telcos ATampT BT
bull Start-Ups and Smaller Vendors Joyent Flexiscale GoGrid and more
bull A growing eco-system RightScale Elastra CohesiveFT Eucalyptus 3Tera
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
ldquoUsers really respond to speedrdquo
ndash Marissa Mayer VP Google
bull A brokerage can lose up to $4 million per millisecond of
latency
ndash The Tabb Group
bullAn additional 500 ms latency resulted in -20 traffic
ndash Google
bull An additional 100 ms in latency resulted in -1 sales
ndash Amazon
The Need for Speed
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
An Actual Oracle Press Release No Kidding
bull [Numbers in brackets are COST PER CPU]
bull ldquoQtraxs implementation includes Oracle Database [$175k to $475k]
Oracle Real Application Clusters [$23k] Oracle Enterprise Manager [$35 to
$20k+] and components of Oracle Fusion Middleware [] including Oracle
Application Server [$10k to $30k] and Oracle Coherence [$4k to $25k] With
this software now in place Qtrax will have the ability to support millions of
concurrent users [they better] ldquo
bull Total $58K to $1455k+ per CPU
bull And donrsquot forget 22 annual support feeshellip
- Confidential -
Cloud Computing
- Confidential -
Cloud Computing
bull Key Elements
ndash Architecture Virtualization on demand provisioning distributed computing
(parallel processing data partitioning)
ndash Business model Utility ndash usage-based or subscription
bull Three sub-categories of cloud computing
ndash Software-as-a-Service applications
ndash Platform-as-a-Service middleware databases
ndash Infrastructure-as-a-Service (hardware + OS + virtualization)
bull Economic drivers
ndash Cloud providers benefit from economies of scale and expertise
ndash Only pay for what you need when you need it
ndash Rapid time-to-value
- Confidential -
Amazon Elastic Compute Cloud (EC2)
bull Rent infrastructure with a pay-per-usage model
ndash Compute Bandwidth Storage Messages etc
bull The Amazon Machine Image (AMI)
ndash Virtual resource (Hardware and Memory) which can be rapidly deployed as
needed
ndash Comes in several sizes
bull EC2 is a part of Amazon Web Services
ndash Simple Storage Service (S3)
ndash Simple Queue Service (SQS)
ndash Amazon SimpleDB (SDB)
ndash Flexible Payments Service (FPS)
bull Two unique aspects
ndash Open to third-parties
ndash No human interaction ndash just enter a credit card with no complex contracts
- Confidential -
Reality or Hype
bull Like all big innovative technologies will go through a hype cycle
bull We are definitely nearing the ldquopeak of inflated expectationsrdquo
bull Howeverhellip
bull Gartner ldquoBy 2012 80 percent of Fortune 1000 companies will pay
for some cloud computing service and 30 percent of them will pay
for cloud computing infrastructurerdquo
- Confidential -
Massive Investments in Cloud Computing
bull Amazon Amazon Web Services (EC2 S3 SQS SimpleDB and more)
bull Google Google Apps (SaaS) Google App Engine (APaaS)
bull Intuit $300+ million investment
bull Salesforcecom
bull Microsoft Windows Live (SaaS) SQL Server Data Services (APaaS) Windows
Cloud
bull IBM ldquoBlue Cloudrdquo (APaaS)
bull HP Adaptive Infrastructure as a Service (IaaS) EDS
bull Sun Networkcom (IaaS) Project Caroline (APaaS)
bull EMC Storage cloud
bull Dell
bull ISVs RedHat MySQL Sun Solaris and others on EC2
bull Telcos ATampT BT
bull Start-Ups and Smaller Vendors Joyent Flexiscale GoGrid and more
bull A growing eco-system RightScale Elastra CohesiveFT Eucalyptus 3Tera
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
An Actual Oracle Press Release No Kidding
bull [Numbers in brackets are COST PER CPU]
bull ldquoQtraxs implementation includes Oracle Database [$175k to $475k]
Oracle Real Application Clusters [$23k] Oracle Enterprise Manager [$35 to
$20k+] and components of Oracle Fusion Middleware [] including Oracle
Application Server [$10k to $30k] and Oracle Coherence [$4k to $25k] With
this software now in place Qtrax will have the ability to support millions of
concurrent users [they better] ldquo
bull Total $58K to $1455k+ per CPU
bull And donrsquot forget 22 annual support feeshellip
- Confidential -
Cloud Computing
- Confidential -
Cloud Computing
bull Key Elements
ndash Architecture Virtualization on demand provisioning distributed computing
(parallel processing data partitioning)
ndash Business model Utility ndash usage-based or subscription
bull Three sub-categories of cloud computing
ndash Software-as-a-Service applications
ndash Platform-as-a-Service middleware databases
ndash Infrastructure-as-a-Service (hardware + OS + virtualization)
bull Economic drivers
ndash Cloud providers benefit from economies of scale and expertise
ndash Only pay for what you need when you need it
ndash Rapid time-to-value
- Confidential -
Amazon Elastic Compute Cloud (EC2)
bull Rent infrastructure with a pay-per-usage model
ndash Compute Bandwidth Storage Messages etc
bull The Amazon Machine Image (AMI)
ndash Virtual resource (Hardware and Memory) which can be rapidly deployed as
needed
ndash Comes in several sizes
bull EC2 is a part of Amazon Web Services
ndash Simple Storage Service (S3)
ndash Simple Queue Service (SQS)
ndash Amazon SimpleDB (SDB)
ndash Flexible Payments Service (FPS)
bull Two unique aspects
ndash Open to third-parties
ndash No human interaction ndash just enter a credit card with no complex contracts
- Confidential -
Reality or Hype
bull Like all big innovative technologies will go through a hype cycle
bull We are definitely nearing the ldquopeak of inflated expectationsrdquo
bull Howeverhellip
bull Gartner ldquoBy 2012 80 percent of Fortune 1000 companies will pay
for some cloud computing service and 30 percent of them will pay
for cloud computing infrastructurerdquo
- Confidential -
Massive Investments in Cloud Computing
bull Amazon Amazon Web Services (EC2 S3 SQS SimpleDB and more)
bull Google Google Apps (SaaS) Google App Engine (APaaS)
bull Intuit $300+ million investment
bull Salesforcecom
bull Microsoft Windows Live (SaaS) SQL Server Data Services (APaaS) Windows
Cloud
bull IBM ldquoBlue Cloudrdquo (APaaS)
bull HP Adaptive Infrastructure as a Service (IaaS) EDS
bull Sun Networkcom (IaaS) Project Caroline (APaaS)
bull EMC Storage cloud
bull Dell
bull ISVs RedHat MySQL Sun Solaris and others on EC2
bull Telcos ATampT BT
bull Start-Ups and Smaller Vendors Joyent Flexiscale GoGrid and more
bull A growing eco-system RightScale Elastra CohesiveFT Eucalyptus 3Tera
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
An Actual Oracle Press Release No Kidding
bull [Numbers in brackets are COST PER CPU]
bull ldquoQtraxs implementation includes Oracle Database [$175k to $475k]
Oracle Real Application Clusters [$23k] Oracle Enterprise Manager [$35 to
$20k+] and components of Oracle Fusion Middleware [] including Oracle
Application Server [$10k to $30k] and Oracle Coherence [$4k to $25k] With
this software now in place Qtrax will have the ability to support millions of
concurrent users [they better] ldquo
bull Total $58K to $1455k+ per CPU
bull And donrsquot forget 22 annual support feeshellip
- Confidential -
Cloud Computing
- Confidential -
Cloud Computing
bull Key Elements
ndash Architecture Virtualization on demand provisioning distributed computing
(parallel processing data partitioning)
ndash Business model Utility ndash usage-based or subscription
bull Three sub-categories of cloud computing
ndash Software-as-a-Service applications
ndash Platform-as-a-Service middleware databases
ndash Infrastructure-as-a-Service (hardware + OS + virtualization)
bull Economic drivers
ndash Cloud providers benefit from economies of scale and expertise
ndash Only pay for what you need when you need it
ndash Rapid time-to-value
- Confidential -
Amazon Elastic Compute Cloud (EC2)
bull Rent infrastructure with a pay-per-usage model
ndash Compute Bandwidth Storage Messages etc
bull The Amazon Machine Image (AMI)
ndash Virtual resource (Hardware and Memory) which can be rapidly deployed as
needed
ndash Comes in several sizes
bull EC2 is a part of Amazon Web Services
ndash Simple Storage Service (S3)
ndash Simple Queue Service (SQS)
ndash Amazon SimpleDB (SDB)
ndash Flexible Payments Service (FPS)
bull Two unique aspects
ndash Open to third-parties
ndash No human interaction ndash just enter a credit card with no complex contracts
- Confidential -
Reality or Hype
bull Like all big innovative technologies will go through a hype cycle
bull We are definitely nearing the ldquopeak of inflated expectationsrdquo
bull Howeverhellip
bull Gartner ldquoBy 2012 80 percent of Fortune 1000 companies will pay
for some cloud computing service and 30 percent of them will pay
for cloud computing infrastructurerdquo
- Confidential -
Massive Investments in Cloud Computing
bull Amazon Amazon Web Services (EC2 S3 SQS SimpleDB and more)
bull Google Google Apps (SaaS) Google App Engine (APaaS)
bull Intuit $300+ million investment
bull Salesforcecom
bull Microsoft Windows Live (SaaS) SQL Server Data Services (APaaS) Windows
Cloud
bull IBM ldquoBlue Cloudrdquo (APaaS)
bull HP Adaptive Infrastructure as a Service (IaaS) EDS
bull Sun Networkcom (IaaS) Project Caroline (APaaS)
bull EMC Storage cloud
bull Dell
bull ISVs RedHat MySQL Sun Solaris and others on EC2
bull Telcos ATampT BT
bull Start-Ups and Smaller Vendors Joyent Flexiscale GoGrid and more
bull A growing eco-system RightScale Elastra CohesiveFT Eucalyptus 3Tera
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Cloud Computing
- Confidential -
Cloud Computing
bull Key Elements
ndash Architecture Virtualization on demand provisioning distributed computing
(parallel processing data partitioning)
ndash Business model Utility ndash usage-based or subscription
bull Three sub-categories of cloud computing
ndash Software-as-a-Service applications
ndash Platform-as-a-Service middleware databases
ndash Infrastructure-as-a-Service (hardware + OS + virtualization)
bull Economic drivers
ndash Cloud providers benefit from economies of scale and expertise
ndash Only pay for what you need when you need it
ndash Rapid time-to-value
- Confidential -
Amazon Elastic Compute Cloud (EC2)
bull Rent infrastructure with a pay-per-usage model
ndash Compute Bandwidth Storage Messages etc
bull The Amazon Machine Image (AMI)
ndash Virtual resource (Hardware and Memory) which can be rapidly deployed as
needed
ndash Comes in several sizes
bull EC2 is a part of Amazon Web Services
ndash Simple Storage Service (S3)
ndash Simple Queue Service (SQS)
ndash Amazon SimpleDB (SDB)
ndash Flexible Payments Service (FPS)
bull Two unique aspects
ndash Open to third-parties
ndash No human interaction ndash just enter a credit card with no complex contracts
- Confidential -
Reality or Hype
bull Like all big innovative technologies will go through a hype cycle
bull We are definitely nearing the ldquopeak of inflated expectationsrdquo
bull Howeverhellip
bull Gartner ldquoBy 2012 80 percent of Fortune 1000 companies will pay
for some cloud computing service and 30 percent of them will pay
for cloud computing infrastructurerdquo
- Confidential -
Massive Investments in Cloud Computing
bull Amazon Amazon Web Services (EC2 S3 SQS SimpleDB and more)
bull Google Google Apps (SaaS) Google App Engine (APaaS)
bull Intuit $300+ million investment
bull Salesforcecom
bull Microsoft Windows Live (SaaS) SQL Server Data Services (APaaS) Windows
Cloud
bull IBM ldquoBlue Cloudrdquo (APaaS)
bull HP Adaptive Infrastructure as a Service (IaaS) EDS
bull Sun Networkcom (IaaS) Project Caroline (APaaS)
bull EMC Storage cloud
bull Dell
bull ISVs RedHat MySQL Sun Solaris and others on EC2
bull Telcos ATampT BT
bull Start-Ups and Smaller Vendors Joyent Flexiscale GoGrid and more
bull A growing eco-system RightScale Elastra CohesiveFT Eucalyptus 3Tera
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Cloud Computing
bull Key Elements
ndash Architecture Virtualization on demand provisioning distributed computing
(parallel processing data partitioning)
ndash Business model Utility ndash usage-based or subscription
bull Three sub-categories of cloud computing
ndash Software-as-a-Service applications
ndash Platform-as-a-Service middleware databases
ndash Infrastructure-as-a-Service (hardware + OS + virtualization)
bull Economic drivers
ndash Cloud providers benefit from economies of scale and expertise
ndash Only pay for what you need when you need it
ndash Rapid time-to-value
- Confidential -
Amazon Elastic Compute Cloud (EC2)
bull Rent infrastructure with a pay-per-usage model
ndash Compute Bandwidth Storage Messages etc
bull The Amazon Machine Image (AMI)
ndash Virtual resource (Hardware and Memory) which can be rapidly deployed as
needed
ndash Comes in several sizes
bull EC2 is a part of Amazon Web Services
ndash Simple Storage Service (S3)
ndash Simple Queue Service (SQS)
ndash Amazon SimpleDB (SDB)
ndash Flexible Payments Service (FPS)
bull Two unique aspects
ndash Open to third-parties
ndash No human interaction ndash just enter a credit card with no complex contracts
- Confidential -
Reality or Hype
bull Like all big innovative technologies will go through a hype cycle
bull We are definitely nearing the ldquopeak of inflated expectationsrdquo
bull Howeverhellip
bull Gartner ldquoBy 2012 80 percent of Fortune 1000 companies will pay
for some cloud computing service and 30 percent of them will pay
for cloud computing infrastructurerdquo
- Confidential -
Massive Investments in Cloud Computing
bull Amazon Amazon Web Services (EC2 S3 SQS SimpleDB and more)
bull Google Google Apps (SaaS) Google App Engine (APaaS)
bull Intuit $300+ million investment
bull Salesforcecom
bull Microsoft Windows Live (SaaS) SQL Server Data Services (APaaS) Windows
Cloud
bull IBM ldquoBlue Cloudrdquo (APaaS)
bull HP Adaptive Infrastructure as a Service (IaaS) EDS
bull Sun Networkcom (IaaS) Project Caroline (APaaS)
bull EMC Storage cloud
bull Dell
bull ISVs RedHat MySQL Sun Solaris and others on EC2
bull Telcos ATampT BT
bull Start-Ups and Smaller Vendors Joyent Flexiscale GoGrid and more
bull A growing eco-system RightScale Elastra CohesiveFT Eucalyptus 3Tera
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Amazon Elastic Compute Cloud (EC2)
bull Rent infrastructure with a pay-per-usage model
ndash Compute Bandwidth Storage Messages etc
bull The Amazon Machine Image (AMI)
ndash Virtual resource (Hardware and Memory) which can be rapidly deployed as
needed
ndash Comes in several sizes
bull EC2 is a part of Amazon Web Services
ndash Simple Storage Service (S3)
ndash Simple Queue Service (SQS)
ndash Amazon SimpleDB (SDB)
ndash Flexible Payments Service (FPS)
bull Two unique aspects
ndash Open to third-parties
ndash No human interaction ndash just enter a credit card with no complex contracts
- Confidential -
Reality or Hype
bull Like all big innovative technologies will go through a hype cycle
bull We are definitely nearing the ldquopeak of inflated expectationsrdquo
bull Howeverhellip
bull Gartner ldquoBy 2012 80 percent of Fortune 1000 companies will pay
for some cloud computing service and 30 percent of them will pay
for cloud computing infrastructurerdquo
- Confidential -
Massive Investments in Cloud Computing
bull Amazon Amazon Web Services (EC2 S3 SQS SimpleDB and more)
bull Google Google Apps (SaaS) Google App Engine (APaaS)
bull Intuit $300+ million investment
bull Salesforcecom
bull Microsoft Windows Live (SaaS) SQL Server Data Services (APaaS) Windows
Cloud
bull IBM ldquoBlue Cloudrdquo (APaaS)
bull HP Adaptive Infrastructure as a Service (IaaS) EDS
bull Sun Networkcom (IaaS) Project Caroline (APaaS)
bull EMC Storage cloud
bull Dell
bull ISVs RedHat MySQL Sun Solaris and others on EC2
bull Telcos ATampT BT
bull Start-Ups and Smaller Vendors Joyent Flexiscale GoGrid and more
bull A growing eco-system RightScale Elastra CohesiveFT Eucalyptus 3Tera
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Reality or Hype
bull Like all big innovative technologies will go through a hype cycle
bull We are definitely nearing the ldquopeak of inflated expectationsrdquo
bull Howeverhellip
bull Gartner ldquoBy 2012 80 percent of Fortune 1000 companies will pay
for some cloud computing service and 30 percent of them will pay
for cloud computing infrastructurerdquo
- Confidential -
Massive Investments in Cloud Computing
bull Amazon Amazon Web Services (EC2 S3 SQS SimpleDB and more)
bull Google Google Apps (SaaS) Google App Engine (APaaS)
bull Intuit $300+ million investment
bull Salesforcecom
bull Microsoft Windows Live (SaaS) SQL Server Data Services (APaaS) Windows
Cloud
bull IBM ldquoBlue Cloudrdquo (APaaS)
bull HP Adaptive Infrastructure as a Service (IaaS) EDS
bull Sun Networkcom (IaaS) Project Caroline (APaaS)
bull EMC Storage cloud
bull Dell
bull ISVs RedHat MySQL Sun Solaris and others on EC2
bull Telcos ATampT BT
bull Start-Ups and Smaller Vendors Joyent Flexiscale GoGrid and more
bull A growing eco-system RightScale Elastra CohesiveFT Eucalyptus 3Tera
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Massive Investments in Cloud Computing
bull Amazon Amazon Web Services (EC2 S3 SQS SimpleDB and more)
bull Google Google Apps (SaaS) Google App Engine (APaaS)
bull Intuit $300+ million investment
bull Salesforcecom
bull Microsoft Windows Live (SaaS) SQL Server Data Services (APaaS) Windows
Cloud
bull IBM ldquoBlue Cloudrdquo (APaaS)
bull HP Adaptive Infrastructure as a Service (IaaS) EDS
bull Sun Networkcom (IaaS) Project Caroline (APaaS)
bull EMC Storage cloud
bull Dell
bull ISVs RedHat MySQL Sun Solaris and others on EC2
bull Telcos ATampT BT
bull Start-Ups and Smaller Vendors Joyent Flexiscale GoGrid and more
bull A growing eco-system RightScale Elastra CohesiveFT Eucalyptus 3Tera
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Cloud computing is rapidly becoming serious business
bull ldquoWe expect that over the next several years the operation will
become a major business alongside our retail businessrdquo
ndash Adam Selipsky vice president Amazon Web Services
bull In the last two months of 2007 usage of Amazon Web Services grew
by 40
bull $131 million revenues in Q1 from AWS
bull 60000 customers
bull The majority of usage comes from banks pharmaceuticals and
other large corporations
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Amazon Web Services Traffic Over-Taking Retail Site
Source Amazon
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
ldquoAdvancedrdquo Cloud Uses
bull Vertical and Specialized Clouds
ndash Compliance Laws Regulations
ndash Geography
ndash Industry Needs
ndash Technology Platform
bull Hybrid Clouds
ndash Cloudbursting
ndash Disaster Recovery Fail-Over Continuity
ndash Cloud spanning
ndash Cloud hopping
bull Cloud Exchange
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Barriers to Cloud Computing
bull Psychological Barriers
bull Platform Lock-In Dependence
bull Security
bull Compliance
bull Costs
bull Application Architecture
ndash How do we design applications to take advantage of the cloud
ndash Grow and shrink on-demand (scalability)
ndash Data affinity
ndash Portability
ndash Efficiency
ndash Performance
ndash Fault-tolerance and self-healing
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
The Prevailing Model Do You See the Problem
BusinessServices Tier
Back-upBack-up
Back-upBack-up
Data Tier
Messaging
B CA
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Analogy Car Wash
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
All-In-One ldquoWashing Unitrdquo
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Scalability Through Parallelization
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Virtual Middleware Eliminate All Bottlenecks
Business tier
Co-locate all application components in a single server
Manage data and messaging in memory
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Scale-Out On Demand With No Code Changes
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Write to the Database in the Background
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Achieve Resiliency with Hot Fail-Over
Continuous High-Availability
Single high-availability model for all tiers
Automated failoverredundancy mechanism
ActiveActive ndash efficient use of IT resources
Failure Failover
BackupPrimary
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++
- Confidential -
Supports Common Frameworks amp Languages to
Smooth Adoption and Increase Developer Productivity
C++