SlideShare une entreprise Scribd logo
1  sur  75
Télécharger pour lire hors ligne
Cloud Migration Patterns: A Multi-Cloud
Architectural Perspective
Pooyan Jamshidi
Supervisor: Dr. Claus Pahl
IC4- Irish Centre for Cloud Computing and Commerce
School of Computing, Dublin City University
Pooyan.jamshidi@computing.dcu.ie
Source: cloudtweaks.com
P. Jamshidi, A. Ahmad, C. Pahl, "Cloud Migration Research: A
Systematic Review", IEEE Transactions on Cloud Computing,
2013, DOI:10.1109/TCC.2013.10.
Stairway to Heaven: An Architecture-Level Characterization of
Cloud Migration Strategies
Application Migration Patterns for the Service Oriented Cloud
N. Grozev and R. Buyya. Inter-cloud architectures and
application brokering: taxonomy and survey. Software:
Practice and Experience,
The Multi-Cloud Deployment is effective in dealing
with the following challenges:
• Users are not clustered near any single data center,
but form clusters around multiple data centers or are
widely distributed geographically
• Regulations limit options for storing data in specific
data centers
• Circumstances require that the public cloud be used
in concert with on-premises resources
• Application must be resilient to the loss of a single
data center
Azure incident that I personally experienced
…And it lasted for 6 odd hours!
…And it happened again in the
evening on the same day!
We do not intend to provide cloud application
architectural patterns. We rather abstract these
architectural layers into general concept of
components and connectors. The reason behind this
choice is that we have numerous cloud
architectures that becomes orthogonal to the
migration patterns and just add more ambiguity
into that.
Looking for cloud
application architecture?
Read these books
Objective MP1 MP2 MP3 MP4 MP5 MP6 MP7 MP8 MP9 MP10 MP11 MP12 MP13 MP14 MP15
Time to market -- -- -- -- --
New capabilities -- -- -- --
Reduce operational cost -- -- -- -- -- --
Leverage investments -- -- --
Free up on-premise resources
Scalability -- -- -- -- -- -- --
Operational efficiency -- -- -- -- -- -- -- --
Re-host
Cloudification
Relocation
Refactor
Rebinding
Replacement
Modernization
Objective MP1 MP2 MP3 MP4 MP5 MP6 MP7 MP8 MP9 MP10 MP11 MP12 MP13 MP14 MP15
Time to market -- -- -- -- --
New capabilities -- -- -- -- --
Reduce operational cost -- -- -- -- -- -- --
Leverage investments -- -- -- -- -- --
Free up on premise resources
Scalability -- -- -- -- -- -- --
Operational efficiency -- -- -- -- -- -- -- --
Objective MP1 MP2 MP3 MP4 MP5 MP6 MP7 MP8 MP9 MP10 MP11 MP12 MP13 MP14 MP15
Time to market -- -- -- -- --
New capabilities -- -- -- -- --
Reduce operational cost -- -- -- -- -- -- --
Leverage investments -- -- -- -- -- --
Free up on premise resources
Scalability -- -- -- -- -- -- --
Operational efficiency -- -- -- -- -- -- -- --
P. Jamshidi, A. Ahmad, C. Pahl, "Cloud Migration Research: A Systematic Review", IEEE Transactions on Cloud
Computing, 2013, DOI:10.1109/TCC.2013.10.
Migration patterns
Primarily facilitate
planning
Enable Auto-Deployment of
Multi-Tier Systems
in Hybrid Cloud Environment
Application Architecture (on-premise deployment)
Migration
Step
Requirement
Chosen
Patterns
1 Minimal code changes to application and familiarity with platform MP1
2 Granular control of resource usage and opportunity for auto-scaling MP6
3 Lower cost although some limitations on feature availability MP13
4 Replacing on-premise storage with cloud offerings MP12
5 Integration with cloud utility services MP14
6 Highly available service replacement MP11
7 Better user experience, improved efficiency, and load leveling MP3
Concern: Minimal code changes to application and
familiarity with platform
Selected pattern:
MP1
Concern: Granular control of resource usage and
opportunity for auto-scaling
Selected pattern:
MP6
Concern: Lower cost although some limitations on
feature availability
Selected pattern:
MP13
Concern: Replacing on-premise storage with cloud
offerings
Selected pattern:
MP12
Concern: Integration with cloud utility services Selected pattern:
MP14
Concern: Highly available service replacement Selected pattern:
MP11
Concern: Better user experience, improved
efficiency, and load leveling
Selected pattern:
MP3
Incremental migration
New functionalities by cloud offerings
Hybrid deployment
Multi-tenant architectures
Elastic software
SaaS
On-Premise Deployment
Multi-Cloud Deployment
Concern: Minimal code changes to application and
familiarity with platform
Selected pattern:
MP1
Concern: Granular control of resource usage and
opportunity for auto-scaling
Selected pattern:
MP6
Concern: Granular control of resource usage and
opportunity for auto-scaling
Selected pattern:
MP6
Concern: Enhancing availability without
architecture evolution and capital expenditure
Selected pattern:
MP4
Concern: solution is improved though best-in-
class cloud services
Selected pattern:
MP12
Concern: loose-coupled integration with cloud
utility services and re-hosted components
Selected pattern:
MP8
Concern: better user experience, improved
efficiency, and load leveling
Selected pattern:
MP3, MP6
Concern: business expansion and BPaaS
Selected pattern:
MP15
Incremental migration
Business expansion
Hybrid deployment
Multi-tenant business processes
Elastic business processes
BPaaS
The Message!
Pooyan.jamshidi@computing.dcu.ieI would be grateful to receive your thoughts on this:

Contenu connexe

Tendances

Microservices on AWS: Architectural Patterns and Best Practices | AWS Summit ...
Microservices on AWS: Architectural Patterns and Best Practices | AWS Summit ...Microservices on AWS: Architectural Patterns and Best Practices | AWS Summit ...
Microservices on AWS: Architectural Patterns and Best Practices | AWS Summit ...Amazon Web Services
 
Combining Logs, Metrics, and Traces for Unified Observability
Combining Logs, Metrics, and Traces for Unified ObservabilityCombining Logs, Metrics, and Traces for Unified Observability
Combining Logs, Metrics, and Traces for Unified ObservabilityElasticsearch
 
Power up! Mass Migrations at Speed and Scale - Accenture
Power up! Mass Migrations at Speed and Scale - AccenturePower up! Mass Migrations at Speed and Scale - Accenture
Power up! Mass Migrations at Speed and Scale - AccentureAmazon Web Services
 
Deep dive: Monetize your API Programs
Deep dive: Monetize your API ProgramsDeep dive: Monetize your API Programs
Deep dive: Monetize your API ProgramsApigee | Google Cloud
 
Cloud Migration Strategy and Best Practices
Cloud Migration Strategy and Best PracticesCloud Migration Strategy and Best Practices
Cloud Migration Strategy and Best PracticesQBurst
 
Building the business case for AWS
Building the business case for AWSBuilding the business case for AWS
Building the business case for AWSAmazon Web Services
 
Migrating to Cloud - A Step by Step
Migrating to Cloud - A Step by Step Migrating to Cloud - A Step by Step
Migrating to Cloud - A Step by Step Imaginea
 
Perform a Cloud Readiness Assessment for Your Own Company
Perform a Cloud Readiness Assessment for Your Own CompanyPerform a Cloud Readiness Assessment for Your Own Company
Perform a Cloud Readiness Assessment for Your Own CompanyAmazon Web Services
 
Um framework para a Transformaçao da TI e do Negócio
Um framework para a Transformaçao da TI e do Negócio Um framework para a Transformaçao da TI e do Negócio
Um framework para a Transformaçao da TI e do Negócio Amazon Web Services LATAM
 
Reduce Costs and Build a Strong Operational Foundation with the AWS Migration...
Reduce Costs and Build a Strong Operational Foundation with the AWS Migration...Reduce Costs and Build a Strong Operational Foundation with the AWS Migration...
Reduce Costs and Build a Strong Operational Foundation with the AWS Migration...Amazon Web Services
 
Webinar: Accelerate Your Cloud Business With CloudHealth
Webinar: Accelerate Your Cloud Business With CloudHealthWebinar: Accelerate Your Cloud Business With CloudHealth
Webinar: Accelerate Your Cloud Business With CloudHealthCloudHealth by VMware
 
Cloud Migration Checklist | Microsoft Azure Migration
Cloud Migration Checklist | Microsoft Azure MigrationCloud Migration Checklist | Microsoft Azure Migration
Cloud Migration Checklist | Microsoft Azure MigrationIntellika
 
What is Application Performance Management?
What is Application Performance Management?What is Application Performance Management?
What is Application Performance Management?CA Technologies
 
MuleSoft Deployment Strategies (RTF vs Hybrid vs CloudHub)
MuleSoft Deployment Strategies (RTF vs Hybrid vs CloudHub)MuleSoft Deployment Strategies (RTF vs Hybrid vs CloudHub)
MuleSoft Deployment Strategies (RTF vs Hybrid vs CloudHub)Prashanth Kurimella
 
How to Lock Down Apache Kafka and Keep Your Streams Safe
How to Lock Down Apache Kafka and Keep Your Streams SafeHow to Lock Down Apache Kafka and Keep Your Streams Safe
How to Lock Down Apache Kafka and Keep Your Streams Safeconfluent
 
Maintaining the Front Door to Netflix : The Netflix API
Maintaining the Front Door to Netflix : The Netflix APIMaintaining the Front Door to Netflix : The Netflix API
Maintaining the Front Door to Netflix : The Netflix APIDaniel Jacobson
 

Tendances (20)

Microservices on AWS: Architectural Patterns and Best Practices | AWS Summit ...
Microservices on AWS: Architectural Patterns and Best Practices | AWS Summit ...Microservices on AWS: Architectural Patterns and Best Practices | AWS Summit ...
Microservices on AWS: Architectural Patterns and Best Practices | AWS Summit ...
 
Salesforce
SalesforceSalesforce
Salesforce
 
Combining Logs, Metrics, and Traces for Unified Observability
Combining Logs, Metrics, and Traces for Unified ObservabilityCombining Logs, Metrics, and Traces for Unified Observability
Combining Logs, Metrics, and Traces for Unified Observability
 
Power up! Mass Migrations at Speed and Scale - Accenture
Power up! Mass Migrations at Speed and Scale - AccenturePower up! Mass Migrations at Speed and Scale - Accenture
Power up! Mass Migrations at Speed and Scale - Accenture
 
Deep dive: Monetize your API Programs
Deep dive: Monetize your API ProgramsDeep dive: Monetize your API Programs
Deep dive: Monetize your API Programs
 
Cloud Migration Strategy and Best Practices
Cloud Migration Strategy and Best PracticesCloud Migration Strategy and Best Practices
Cloud Migration Strategy and Best Practices
 
Building the business case for AWS
Building the business case for AWSBuilding the business case for AWS
Building the business case for AWS
 
Cost Optimisation on AWS
Cost Optimisation on AWSCost Optimisation on AWS
Cost Optimisation on AWS
 
Migrating to Cloud - A Step by Step
Migrating to Cloud - A Step by Step Migrating to Cloud - A Step by Step
Migrating to Cloud - A Step by Step
 
Perform a Cloud Readiness Assessment for Your Own Company
Perform a Cloud Readiness Assessment for Your Own CompanyPerform a Cloud Readiness Assessment for Your Own Company
Perform a Cloud Readiness Assessment for Your Own Company
 
Um framework para a Transformaçao da TI e do Negócio
Um framework para a Transformaçao da TI e do Negócio Um framework para a Transformaçao da TI e do Negócio
Um framework para a Transformaçao da TI e do Negócio
 
Reduce Costs and Build a Strong Operational Foundation with the AWS Migration...
Reduce Costs and Build a Strong Operational Foundation with the AWS Migration...Reduce Costs and Build a Strong Operational Foundation with the AWS Migration...
Reduce Costs and Build a Strong Operational Foundation with the AWS Migration...
 
Webinar: Accelerate Your Cloud Business With CloudHealth
Webinar: Accelerate Your Cloud Business With CloudHealthWebinar: Accelerate Your Cloud Business With CloudHealth
Webinar: Accelerate Your Cloud Business With CloudHealth
 
Cloud Migration Checklist | Microsoft Azure Migration
Cloud Migration Checklist | Microsoft Azure MigrationCloud Migration Checklist | Microsoft Azure Migration
Cloud Migration Checklist | Microsoft Azure Migration
 
What is Application Performance Management?
What is Application Performance Management?What is Application Performance Management?
What is Application Performance Management?
 
AWS Migration Planning Roadmap
AWS Migration Planning RoadmapAWS Migration Planning Roadmap
AWS Migration Planning Roadmap
 
Cloud Migration Strategy Framework
Cloud Migration Strategy FrameworkCloud Migration Strategy Framework
Cloud Migration Strategy Framework
 
MuleSoft Deployment Strategies (RTF vs Hybrid vs CloudHub)
MuleSoft Deployment Strategies (RTF vs Hybrid vs CloudHub)MuleSoft Deployment Strategies (RTF vs Hybrid vs CloudHub)
MuleSoft Deployment Strategies (RTF vs Hybrid vs CloudHub)
 
How to Lock Down Apache Kafka and Keep Your Streams Safe
How to Lock Down Apache Kafka and Keep Your Streams SafeHow to Lock Down Apache Kafka and Keep Your Streams Safe
How to Lock Down Apache Kafka and Keep Your Streams Safe
 
Maintaining the Front Door to Netflix : The Netflix API
Maintaining the Front Door to Netflix : The Netflix APIMaintaining the Front Door to Netflix : The Netflix API
Maintaining the Front Door to Netflix : The Netflix API
 

En vedette

Migrating Traditional Apps from On-Premises to the Hybrid Cloud
Migrating Traditional Apps from On-Premises to the Hybrid CloudMigrating Traditional Apps from On-Premises to the Hybrid Cloud
Migrating Traditional Apps from On-Premises to the Hybrid CloudRackspace
 
Data Center Migration to the AWS Cloud
Data Center Migration to the AWS CloudData Center Migration to the AWS Cloud
Data Center Migration to the AWS CloudTom Laszewski
 
Capgemini Cloud Assessment - A Pathway to Enterprise Cloud Migration
Capgemini Cloud Assessment - A Pathway to Enterprise Cloud MigrationCapgemini Cloud Assessment - A Pathway to Enterprise Cloud Migration
Capgemini Cloud Assessment - A Pathway to Enterprise Cloud MigrationFloyd DCosta
 
Transfer Learning for Improving Model Predictions in Highly Configurable Soft...
Transfer Learning for Improving Model Predictions in Highly Configurable Soft...Transfer Learning for Improving Model Predictions in Highly Configurable Soft...
Transfer Learning for Improving Model Predictions in Highly Configurable Soft...Pooyan Jamshidi
 
Migration to Cloud - How difficult is it ? A sample migration scenario
Migration to Cloud - How difficult is it ? A sample migration scenarioMigration to Cloud - How difficult is it ? A sample migration scenario
Migration to Cloud - How difficult is it ? A sample migration scenarioSachin Agarwal
 
Migrating Enterprise Applications to AWS: Best Practices & Techniques (ENT303...
Migrating Enterprise Applications to AWS: Best Practices & Techniques (ENT303...Migrating Enterprise Applications to AWS: Best Practices & Techniques (ENT303...
Migrating Enterprise Applications to AWS: Best Practices & Techniques (ENT303...Amazon Web Services
 
AWS re:Invent 2016: Simplify Cloud Migration with AWS Server Migration Servic...
AWS re:Invent 2016: Simplify Cloud Migration with AWS Server Migration Servic...AWS re:Invent 2016: Simplify Cloud Migration with AWS Server Migration Servic...
AWS re:Invent 2016: Simplify Cloud Migration with AWS Server Migration Servic...Amazon Web Services
 
Applying systems thinking to AWS enterprise application migration
Applying systems thinking to AWS enterprise application migrationApplying systems thinking to AWS enterprise application migration
Applying systems thinking to AWS enterprise application migrationKacy Clarke
 
An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing S...
An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing S...An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing S...
An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing S...Pooyan Jamshidi
 
Transfer Learning for Improving Model Predictions in Robotic Systems
Transfer Learning for Improving Model Predictions  in Robotic SystemsTransfer Learning for Improving Model Predictions  in Robotic Systems
Transfer Learning for Improving Model Predictions in Robotic SystemsPooyan Jamshidi
 
Planning for a (Mostly) Hassle-Free Cloud Migration | VTUG 2016 Winter Warmer
Planning for a (Mostly) Hassle-Free Cloud Migration | VTUG 2016 Winter WarmerPlanning for a (Mostly) Hassle-Free Cloud Migration | VTUG 2016 Winter Warmer
Planning for a (Mostly) Hassle-Free Cloud Migration | VTUG 2016 Winter WarmerJoe Conlin
 
Microservices Architecture Enables DevOps: Migration to a Cloud-Native Archit...
Microservices Architecture Enables DevOps: Migration to a Cloud-Native Archit...Microservices Architecture Enables DevOps: Migration to a Cloud-Native Archit...
Microservices Architecture Enables DevOps: Migration to a Cloud-Native Archit...Pooyan Jamshidi
 
Day 4 - Cloud Migration - But How?
Day 4 - Cloud Migration - But How?Day 4 - Cloud Migration - But How?
Day 4 - Cloud Migration - But How?Amazon Web Services
 
Azure vs AWS Best Practices: What You Need to Know
Azure vs AWS Best Practices: What You Need to KnowAzure vs AWS Best Practices: What You Need to Know
Azure vs AWS Best Practices: What You Need to KnowRightScale
 
Machine Learning meets DevOps
Machine Learning meets DevOpsMachine Learning meets DevOps
Machine Learning meets DevOpsPooyan Jamshidi
 

En vedette (20)

Migrating Traditional Apps from On-Premises to the Hybrid Cloud
Migrating Traditional Apps from On-Premises to the Hybrid CloudMigrating Traditional Apps from On-Premises to the Hybrid Cloud
Migrating Traditional Apps from On-Premises to the Hybrid Cloud
 
Data Center Migration to the AWS Cloud
Data Center Migration to the AWS CloudData Center Migration to the AWS Cloud
Data Center Migration to the AWS Cloud
 
Capgemini Cloud Assessment - A Pathway to Enterprise Cloud Migration
Capgemini Cloud Assessment - A Pathway to Enterprise Cloud MigrationCapgemini Cloud Assessment - A Pathway to Enterprise Cloud Migration
Capgemini Cloud Assessment - A Pathway to Enterprise Cloud Migration
 
Cloud Migration Strategy - IT Transformation with Cloud
Cloud Migration Strategy - IT Transformation with CloudCloud Migration Strategy - IT Transformation with Cloud
Cloud Migration Strategy - IT Transformation with Cloud
 
Transfer Learning for Improving Model Predictions in Highly Configurable Soft...
Transfer Learning for Improving Model Predictions in Highly Configurable Soft...Transfer Learning for Improving Model Predictions in Highly Configurable Soft...
Transfer Learning for Improving Model Predictions in Highly Configurable Soft...
 
Migration to Cloud - How difficult is it ? A sample migration scenario
Migration to Cloud - How difficult is it ? A sample migration scenarioMigration to Cloud - How difficult is it ? A sample migration scenario
Migration to Cloud - How difficult is it ? A sample migration scenario
 
Cloud Migration: Moving to the Cloud
Cloud Migration: Moving to the CloudCloud Migration: Moving to the Cloud
Cloud Migration: Moving to the Cloud
 
Migrating to Public Cloud
Migrating to Public CloudMigrating to Public Cloud
Migrating to Public Cloud
 
Migrating Enterprise Applications to AWS: Best Practices & Techniques (ENT303...
Migrating Enterprise Applications to AWS: Best Practices & Techniques (ENT303...Migrating Enterprise Applications to AWS: Best Practices & Techniques (ENT303...
Migrating Enterprise Applications to AWS: Best Practices & Techniques (ENT303...
 
AWS re:Invent 2016: Simplify Cloud Migration with AWS Server Migration Servic...
AWS re:Invent 2016: Simplify Cloud Migration with AWS Server Migration Servic...AWS re:Invent 2016: Simplify Cloud Migration with AWS Server Migration Servic...
AWS re:Invent 2016: Simplify Cloud Migration with AWS Server Migration Servic...
 
Applying systems thinking to AWS enterprise application migration
Applying systems thinking to AWS enterprise application migrationApplying systems thinking to AWS enterprise application migration
Applying systems thinking to AWS enterprise application migration
 
An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing S...
An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing S...An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing S...
An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing S...
 
Transfer Learning for Improving Model Predictions in Robotic Systems
Transfer Learning for Improving Model Predictions  in Robotic SystemsTransfer Learning for Improving Model Predictions  in Robotic Systems
Transfer Learning for Improving Model Predictions in Robotic Systems
 
Planning for a (Mostly) Hassle-Free Cloud Migration | VTUG 2016 Winter Warmer
Planning for a (Mostly) Hassle-Free Cloud Migration | VTUG 2016 Winter WarmerPlanning for a (Mostly) Hassle-Free Cloud Migration | VTUG 2016 Winter Warmer
Planning for a (Mostly) Hassle-Free Cloud Migration | VTUG 2016 Winter Warmer
 
Cloud Migration
Cloud MigrationCloud Migration
Cloud Migration
 
Microservices Architecture Enables DevOps: Migration to a Cloud-Native Archit...
Microservices Architecture Enables DevOps: Migration to a Cloud-Native Archit...Microservices Architecture Enables DevOps: Migration to a Cloud-Native Archit...
Microservices Architecture Enables DevOps: Migration to a Cloud-Native Archit...
 
Day 4 - Cloud Migration - But How?
Day 4 - Cloud Migration - But How?Day 4 - Cloud Migration - But How?
Day 4 - Cloud Migration - But How?
 
Multi cloud PaaS
Multi cloud PaaSMulti cloud PaaS
Multi cloud PaaS
 
Azure vs AWS Best Practices: What You Need to Know
Azure vs AWS Best Practices: What You Need to KnowAzure vs AWS Best Practices: What You Need to Know
Azure vs AWS Best Practices: What You Need to Know
 
Machine Learning meets DevOps
Machine Learning meets DevOpsMachine Learning meets DevOps
Machine Learning meets DevOps
 

Similaire à Cloud Migration Patterns: A Multi-Cloud Architectural Perspective

Welcome to the Cloud!
Welcome to the Cloud!Welcome to the Cloud!
Welcome to the Cloud!imogokate
 
Serhii Kholodniuk: What you need to know, before migrating data platform to G...
Serhii Kholodniuk: What you need to know, before migrating data platform to G...Serhii Kholodniuk: What you need to know, before migrating data platform to G...
Serhii Kholodniuk: What you need to know, before migrating data platform to G...Lviv Startup Club
 
TechTalk_Cloud Performance Testing_0.6
TechTalk_Cloud Performance Testing_0.6TechTalk_Cloud Performance Testing_0.6
TechTalk_Cloud Performance Testing_0.6Sravanthi N
 
Best practices for application migration to public clouds interop presentation
Best practices for application migration to public clouds interop presentationBest practices for application migration to public clouds interop presentation
Best practices for application migration to public clouds interop presentationesebeus
 
Best Practices for Building Successful Cloud Projects
Best Practices for Building Successful Cloud ProjectsBest Practices for Building Successful Cloud Projects
Best Practices for Building Successful Cloud ProjectsNati Shalom
 
Oracle EBS Journey to the Cloud - What is New in 2022 (UKOUG Breakthrough 22 ...
Oracle EBS Journey to the Cloud - What is New in 2022 (UKOUG Breakthrough 22 ...Oracle EBS Journey to the Cloud - What is New in 2022 (UKOUG Breakthrough 22 ...
Oracle EBS Journey to the Cloud - What is New in 2022 (UKOUG Breakthrough 22 ...Andrejs Prokopjevs
 
Hybrid Cloud Journey - Maximizing Private and Public Cloud
Hybrid Cloud Journey - Maximizing Private and Public CloudHybrid Cloud Journey - Maximizing Private and Public Cloud
Hybrid Cloud Journey - Maximizing Private and Public CloudRyan Lynn
 
Confluent Partner Tech Talk with SVA
Confluent Partner Tech Talk with SVAConfluent Partner Tech Talk with SVA
Confluent Partner Tech Talk with SVAconfluent
 
Which Application Modernization Pattern Is Right For You?
Which Application Modernization Pattern Is Right For You?Which Application Modernization Pattern Is Right For You?
Which Application Modernization Pattern Is Right For You?Apigee | Google Cloud
 
Breaking the Monolith
Breaking the MonolithBreaking the Monolith
Breaking the MonolithVMware Tanzu
 
Cloud nfv intro at UoG
Cloud nfv intro at UoGCloud nfv intro at UoG
Cloud nfv intro at UoGAffan Syed
 
SAP Cloud Infrastructure Strategy @ Virtualization Week
SAP Cloud Infrastructure Strategy @ Virtualization WeekSAP Cloud Infrastructure Strategy @ Virtualization Week
SAP Cloud Infrastructure Strategy @ Virtualization WeekFrank Stienhans
 
Mainframe Optimization in 2017
Mainframe Optimization in 2017Mainframe Optimization in 2017
Mainframe Optimization in 2017Precisely
 
CtrlS: Cloud Solutions for Retail & eCommerce
CtrlS: Cloud Solutions for Retail & eCommerceCtrlS: Cloud Solutions for Retail & eCommerce
CtrlS: Cloud Solutions for Retail & eCommerceeTailing India
 
Savig cost using application level virtualization
Savig cost using application level virtualizationSavig cost using application level virtualization
Savig cost using application level virtualizationNati Shalom
 
K5.Fujitsu World Tour 2016-Winning with NetApp in Digital Transformation Age,...
K5.Fujitsu World Tour 2016-Winning with NetApp in Digital Transformation Age,...K5.Fujitsu World Tour 2016-Winning with NetApp in Digital Transformation Age,...
K5.Fujitsu World Tour 2016-Winning with NetApp in Digital Transformation Age,...Fujitsu India
 
CloudLightning - Multiclouds: Challenges and Current Solutions
CloudLightning - Multiclouds: Challenges and Current SolutionsCloudLightning - Multiclouds: Challenges and Current Solutions
CloudLightning - Multiclouds: Challenges and Current SolutionsCloudLightning
 

Similaire à Cloud Migration Patterns: A Multi-Cloud Architectural Perspective (20)

Adopting the Cloud
Adopting the CloudAdopting the Cloud
Adopting the Cloud
 
Orange Business Live 2013 cloud breakout
Orange Business Live 2013 cloud breakoutOrange Business Live 2013 cloud breakout
Orange Business Live 2013 cloud breakout
 
Welcome to the Cloud!
Welcome to the Cloud!Welcome to the Cloud!
Welcome to the Cloud!
 
Serhii Kholodniuk: What you need to know, before migrating data platform to G...
Serhii Kholodniuk: What you need to know, before migrating data platform to G...Serhii Kholodniuk: What you need to know, before migrating data platform to G...
Serhii Kholodniuk: What you need to know, before migrating data platform to G...
 
TechTalk_Cloud Performance Testing_0.6
TechTalk_Cloud Performance Testing_0.6TechTalk_Cloud Performance Testing_0.6
TechTalk_Cloud Performance Testing_0.6
 
Best practices for application migration to public clouds interop presentation
Best practices for application migration to public clouds interop presentationBest practices for application migration to public clouds interop presentation
Best practices for application migration to public clouds interop presentation
 
Best Practices for Building Successful Cloud Projects
Best Practices for Building Successful Cloud ProjectsBest Practices for Building Successful Cloud Projects
Best Practices for Building Successful Cloud Projects
 
Oracle EBS Journey to the Cloud - What is New in 2022 (UKOUG Breakthrough 22 ...
Oracle EBS Journey to the Cloud - What is New in 2022 (UKOUG Breakthrough 22 ...Oracle EBS Journey to the Cloud - What is New in 2022 (UKOUG Breakthrough 22 ...
Oracle EBS Journey to the Cloud - What is New in 2022 (UKOUG Breakthrough 22 ...
 
Hybrid Cloud Journey - Maximizing Private and Public Cloud
Hybrid Cloud Journey - Maximizing Private and Public CloudHybrid Cloud Journey - Maximizing Private and Public Cloud
Hybrid Cloud Journey - Maximizing Private and Public Cloud
 
Yongsan presentation 3
Yongsan presentation 3Yongsan presentation 3
Yongsan presentation 3
 
Confluent Partner Tech Talk with SVA
Confluent Partner Tech Talk with SVAConfluent Partner Tech Talk with SVA
Confluent Partner Tech Talk with SVA
 
Which Application Modernization Pattern Is Right For You?
Which Application Modernization Pattern Is Right For You?Which Application Modernization Pattern Is Right For You?
Which Application Modernization Pattern Is Right For You?
 
Breaking the Monolith
Breaking the MonolithBreaking the Monolith
Breaking the Monolith
 
Cloud nfv intro at UoG
Cloud nfv intro at UoGCloud nfv intro at UoG
Cloud nfv intro at UoG
 
SAP Cloud Infrastructure Strategy @ Virtualization Week
SAP Cloud Infrastructure Strategy @ Virtualization WeekSAP Cloud Infrastructure Strategy @ Virtualization Week
SAP Cloud Infrastructure Strategy @ Virtualization Week
 
Mainframe Optimization in 2017
Mainframe Optimization in 2017Mainframe Optimization in 2017
Mainframe Optimization in 2017
 
CtrlS: Cloud Solutions for Retail & eCommerce
CtrlS: Cloud Solutions for Retail & eCommerceCtrlS: Cloud Solutions for Retail & eCommerce
CtrlS: Cloud Solutions for Retail & eCommerce
 
Savig cost using application level virtualization
Savig cost using application level virtualizationSavig cost using application level virtualization
Savig cost using application level virtualization
 
K5.Fujitsu World Tour 2016-Winning with NetApp in Digital Transformation Age,...
K5.Fujitsu World Tour 2016-Winning with NetApp in Digital Transformation Age,...K5.Fujitsu World Tour 2016-Winning with NetApp in Digital Transformation Age,...
K5.Fujitsu World Tour 2016-Winning with NetApp in Digital Transformation Age,...
 
CloudLightning - Multiclouds: Challenges and Current Solutions
CloudLightning - Multiclouds: Challenges and Current SolutionsCloudLightning - Multiclouds: Challenges and Current Solutions
CloudLightning - Multiclouds: Challenges and Current Solutions
 

Plus de Pooyan Jamshidi

Learning LWF Chain Graphs: A Markov Blanket Discovery Approach
Learning LWF Chain Graphs: A Markov Blanket Discovery ApproachLearning LWF Chain Graphs: A Markov Blanket Discovery Approach
Learning LWF Chain Graphs: A Markov Blanket Discovery ApproachPooyan Jamshidi
 
A Framework for Robust Control of Uncertainty in Self-Adaptive Software Conn...
 A Framework for Robust Control of Uncertainty in Self-Adaptive Software Conn... A Framework for Robust Control of Uncertainty in Self-Adaptive Software Conn...
A Framework for Robust Control of Uncertainty in Self-Adaptive Software Conn...Pooyan Jamshidi
 
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Aut...
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Aut...Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Aut...
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Aut...Pooyan Jamshidi
 
Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural ...
Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural ...Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural ...
Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural ...Pooyan Jamshidi
 
Transfer Learning for Performance Analysis of Machine Learning Systems
Transfer Learning for Performance Analysis of Machine Learning SystemsTransfer Learning for Performance Analysis of Machine Learning Systems
Transfer Learning for Performance Analysis of Machine Learning SystemsPooyan Jamshidi
 
Transfer Learning for Performance Analysis of Configurable Systems: A Causal ...
Transfer Learning for Performance Analysis of Configurable Systems:A Causal ...Transfer Learning for Performance Analysis of Configurable Systems:A Causal ...
Transfer Learning for Performance Analysis of Configurable Systems: A Causal ...Pooyan Jamshidi
 
Machine Learning meets DevOps
Machine Learning meets DevOpsMachine Learning meets DevOps
Machine Learning meets DevOpsPooyan Jamshidi
 
Integrated Model Discovery and Self-Adaptation of Robots
Integrated Model Discovery and Self-Adaptation of RobotsIntegrated Model Discovery and Self-Adaptation of Robots
Integrated Model Discovery and Self-Adaptation of RobotsPooyan Jamshidi
 
Transfer Learning for Performance Analysis of Highly-Configurable Software
Transfer Learning for Performance Analysis of Highly-Configurable SoftwareTransfer Learning for Performance Analysis of Highly-Configurable Software
Transfer Learning for Performance Analysis of Highly-Configurable SoftwarePooyan Jamshidi
 
Architectural Tradeoff in Learning-Based Software
Architectural Tradeoff in Learning-Based SoftwareArchitectural Tradeoff in Learning-Based Software
Architectural Tradeoff in Learning-Based SoftwarePooyan Jamshidi
 
Production-Ready Machine Learning for the Software Architect
Production-Ready Machine Learning for the Software ArchitectProduction-Ready Machine Learning for the Software Architect
Production-Ready Machine Learning for the Software ArchitectPooyan Jamshidi
 
Transfer Learning for Software Performance Analysis: An Exploratory Analysis
Transfer Learning for Software Performance Analysis: An Exploratory AnalysisTransfer Learning for Software Performance Analysis: An Exploratory Analysis
Transfer Learning for Software Performance Analysis: An Exploratory AnalysisPooyan Jamshidi
 
Learning Software Performance Models for Dynamic and Uncertain Environments
Learning Software Performance Models for Dynamic and Uncertain EnvironmentsLearning Software Performance Models for Dynamic and Uncertain Environments
Learning Software Performance Models for Dynamic and Uncertain EnvironmentsPooyan Jamshidi
 
Sensitivity Analysis for Building Adaptive Robotic Software
Sensitivity Analysis for Building Adaptive Robotic SoftwareSensitivity Analysis for Building Adaptive Robotic Software
Sensitivity Analysis for Building Adaptive Robotic SoftwarePooyan Jamshidi
 
Configuration Optimization Tool
Configuration Optimization ToolConfiguration Optimization Tool
Configuration Optimization ToolPooyan Jamshidi
 
Fuzzy Self-Learning Controllers for Elasticity Management in Dynamic Cloud Ar...
Fuzzy Self-Learning Controllers for Elasticity Management in Dynamic Cloud Ar...Fuzzy Self-Learning Controllers for Elasticity Management in Dynamic Cloud Ar...
Fuzzy Self-Learning Controllers for Elasticity Management in Dynamic Cloud Ar...Pooyan Jamshidi
 
Configuration Optimization for Big Data Software
Configuration Optimization for Big Data SoftwareConfiguration Optimization for Big Data Software
Configuration Optimization for Big Data SoftwarePooyan Jamshidi
 
Towards Quality-Aware Development of Big Data Applications with DICE
Towards Quality-Aware Development of Big Data Applications with DICETowards Quality-Aware Development of Big Data Applications with DICE
Towards Quality-Aware Development of Big Data Applications with DICEPooyan Jamshidi
 

Plus de Pooyan Jamshidi (20)

Learning LWF Chain Graphs: A Markov Blanket Discovery Approach
Learning LWF Chain Graphs: A Markov Blanket Discovery ApproachLearning LWF Chain Graphs: A Markov Blanket Discovery Approach
Learning LWF Chain Graphs: A Markov Blanket Discovery Approach
 
A Framework for Robust Control of Uncertainty in Self-Adaptive Software Conn...
 A Framework for Robust Control of Uncertainty in Self-Adaptive Software Conn... A Framework for Robust Control of Uncertainty in Self-Adaptive Software Conn...
A Framework for Robust Control of Uncertainty in Self-Adaptive Software Conn...
 
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Aut...
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Aut...Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Aut...
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Aut...
 
Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural ...
Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural ...Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural ...
Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural ...
 
Transfer Learning for Performance Analysis of Machine Learning Systems
Transfer Learning for Performance Analysis of Machine Learning SystemsTransfer Learning for Performance Analysis of Machine Learning Systems
Transfer Learning for Performance Analysis of Machine Learning Systems
 
Transfer Learning for Performance Analysis of Configurable Systems: A Causal ...
Transfer Learning for Performance Analysis of Configurable Systems:A Causal ...Transfer Learning for Performance Analysis of Configurable Systems:A Causal ...
Transfer Learning for Performance Analysis of Configurable Systems: A Causal ...
 
Machine Learning meets DevOps
Machine Learning meets DevOpsMachine Learning meets DevOps
Machine Learning meets DevOps
 
Learning to Sample
Learning to SampleLearning to Sample
Learning to Sample
 
Integrated Model Discovery and Self-Adaptation of Robots
Integrated Model Discovery and Self-Adaptation of RobotsIntegrated Model Discovery and Self-Adaptation of Robots
Integrated Model Discovery and Self-Adaptation of Robots
 
Transfer Learning for Performance Analysis of Highly-Configurable Software
Transfer Learning for Performance Analysis of Highly-Configurable SoftwareTransfer Learning for Performance Analysis of Highly-Configurable Software
Transfer Learning for Performance Analysis of Highly-Configurable Software
 
Architectural Tradeoff in Learning-Based Software
Architectural Tradeoff in Learning-Based SoftwareArchitectural Tradeoff in Learning-Based Software
Architectural Tradeoff in Learning-Based Software
 
Production-Ready Machine Learning for the Software Architect
Production-Ready Machine Learning for the Software ArchitectProduction-Ready Machine Learning for the Software Architect
Production-Ready Machine Learning for the Software Architect
 
Transfer Learning for Software Performance Analysis: An Exploratory Analysis
Transfer Learning for Software Performance Analysis: An Exploratory AnalysisTransfer Learning for Software Performance Analysis: An Exploratory Analysis
Transfer Learning for Software Performance Analysis: An Exploratory Analysis
 
Architecting for Scale
Architecting for ScaleArchitecting for Scale
Architecting for Scale
 
Learning Software Performance Models for Dynamic and Uncertain Environments
Learning Software Performance Models for Dynamic and Uncertain EnvironmentsLearning Software Performance Models for Dynamic and Uncertain Environments
Learning Software Performance Models for Dynamic and Uncertain Environments
 
Sensitivity Analysis for Building Adaptive Robotic Software
Sensitivity Analysis for Building Adaptive Robotic SoftwareSensitivity Analysis for Building Adaptive Robotic Software
Sensitivity Analysis for Building Adaptive Robotic Software
 
Configuration Optimization Tool
Configuration Optimization ToolConfiguration Optimization Tool
Configuration Optimization Tool
 
Fuzzy Self-Learning Controllers for Elasticity Management in Dynamic Cloud Ar...
Fuzzy Self-Learning Controllers for Elasticity Management in Dynamic Cloud Ar...Fuzzy Self-Learning Controllers for Elasticity Management in Dynamic Cloud Ar...
Fuzzy Self-Learning Controllers for Elasticity Management in Dynamic Cloud Ar...
 
Configuration Optimization for Big Data Software
Configuration Optimization for Big Data SoftwareConfiguration Optimization for Big Data Software
Configuration Optimization for Big Data Software
 
Towards Quality-Aware Development of Big Data Applications with DICE
Towards Quality-Aware Development of Big Data Applications with DICETowards Quality-Aware Development of Big Data Applications with DICE
Towards Quality-Aware Development of Big Data Applications with DICE
 

Dernier

Justdial Call Girls In Indirapuram, Ghaziabad, 8800357707 Escorts Service
Justdial Call Girls In Indirapuram, Ghaziabad, 8800357707 Escorts ServiceJustdial Call Girls In Indirapuram, Ghaziabad, 8800357707 Escorts Service
Justdial Call Girls In Indirapuram, Ghaziabad, 8800357707 Escorts Servicemonikaservice1
 
FAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
FAIRSpectra - Enabling the FAIRification of Spectroscopy and SpectrometryFAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
FAIRSpectra - Enabling the FAIRification of Spectroscopy and SpectrometryAlex Henderson
 
COST ESTIMATION FOR A RESEARCH PROJECT.pptx
COST ESTIMATION FOR A RESEARCH PROJECT.pptxCOST ESTIMATION FOR A RESEARCH PROJECT.pptx
COST ESTIMATION FOR A RESEARCH PROJECT.pptxFarihaAbdulRasheed
 
The Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxThe Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxseri bangash
 
GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)Areesha Ahmad
 
Proteomics: types, protein profiling steps etc.
Proteomics: types, protein profiling steps etc.Proteomics: types, protein profiling steps etc.
Proteomics: types, protein profiling steps etc.Silpa
 
Sector 62, Noida Call girls :8448380779 Model Escorts | 100% verified
Sector 62, Noida Call girls :8448380779 Model Escorts | 100% verifiedSector 62, Noida Call girls :8448380779 Model Escorts | 100% verified
Sector 62, Noida Call girls :8448380779 Model Escorts | 100% verifiedDelhi Call girls
 
chemical bonding Essentials of Physical Chemistry2.pdf
chemical bonding Essentials of Physical Chemistry2.pdfchemical bonding Essentials of Physical Chemistry2.pdf
chemical bonding Essentials of Physical Chemistry2.pdfTukamushabaBismark
 
Factory Acceptance Test( FAT).pptx .
Factory Acceptance Test( FAT).pptx       .Factory Acceptance Test( FAT).pptx       .
Factory Acceptance Test( FAT).pptx .Poonam Aher Patil
 
High Class Escorts in Hyderabad ₹7.5k Pick Up & Drop With Cash Payment 969456...
High Class Escorts in Hyderabad ₹7.5k Pick Up & Drop With Cash Payment 969456...High Class Escorts in Hyderabad ₹7.5k Pick Up & Drop With Cash Payment 969456...
High Class Escorts in Hyderabad ₹7.5k Pick Up & Drop With Cash Payment 969456...chandars293
 
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verifiedConnaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verifiedDelhi Call girls
 
GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)Areesha Ahmad
 
Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxDigital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxMohamedFarag457087
 
development of diagnostic enzyme assay to detect leuser virus
development of diagnostic enzyme assay to detect leuser virusdevelopment of diagnostic enzyme assay to detect leuser virus
development of diagnostic enzyme assay to detect leuser virusNazaninKarimi6
 
Call Girls Ahmedabad +917728919243 call me Independent Escort Service
Call Girls Ahmedabad +917728919243 call me Independent Escort ServiceCall Girls Ahmedabad +917728919243 call me Independent Escort Service
Call Girls Ahmedabad +917728919243 call me Independent Escort Serviceshivanisharma5244
 
PSYCHOSOCIAL NEEDS. in nursing II sem pptx
PSYCHOSOCIAL NEEDS. in nursing II sem pptxPSYCHOSOCIAL NEEDS. in nursing II sem pptx
PSYCHOSOCIAL NEEDS. in nursing II sem pptxSuji236384
 
Dubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai Young
Dubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai YoungDubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai Young
Dubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai Youngkajalvid75
 
300003-World Science Day For Peace And Development.pptx
300003-World Science Day For Peace And Development.pptx300003-World Science Day For Peace And Development.pptx
300003-World Science Day For Peace And Development.pptxryanrooker
 
GBSN - Microbiology (Unit 3)
GBSN - Microbiology (Unit 3)GBSN - Microbiology (Unit 3)
GBSN - Microbiology (Unit 3)Areesha Ahmad
 

Dernier (20)

Justdial Call Girls In Indirapuram, Ghaziabad, 8800357707 Escorts Service
Justdial Call Girls In Indirapuram, Ghaziabad, 8800357707 Escorts ServiceJustdial Call Girls In Indirapuram, Ghaziabad, 8800357707 Escorts Service
Justdial Call Girls In Indirapuram, Ghaziabad, 8800357707 Escorts Service
 
FAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
FAIRSpectra - Enabling the FAIRification of Spectroscopy and SpectrometryFAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
FAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
 
COST ESTIMATION FOR A RESEARCH PROJECT.pptx
COST ESTIMATION FOR A RESEARCH PROJECT.pptxCOST ESTIMATION FOR A RESEARCH PROJECT.pptx
COST ESTIMATION FOR A RESEARCH PROJECT.pptx
 
The Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxThe Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptx
 
GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)
 
Proteomics: types, protein profiling steps etc.
Proteomics: types, protein profiling steps etc.Proteomics: types, protein profiling steps etc.
Proteomics: types, protein profiling steps etc.
 
Sector 62, Noida Call girls :8448380779 Model Escorts | 100% verified
Sector 62, Noida Call girls :8448380779 Model Escorts | 100% verifiedSector 62, Noida Call girls :8448380779 Model Escorts | 100% verified
Sector 62, Noida Call girls :8448380779 Model Escorts | 100% verified
 
Clean In Place(CIP).pptx .
Clean In Place(CIP).pptx                 .Clean In Place(CIP).pptx                 .
Clean In Place(CIP).pptx .
 
chemical bonding Essentials of Physical Chemistry2.pdf
chemical bonding Essentials of Physical Chemistry2.pdfchemical bonding Essentials of Physical Chemistry2.pdf
chemical bonding Essentials of Physical Chemistry2.pdf
 
Factory Acceptance Test( FAT).pptx .
Factory Acceptance Test( FAT).pptx       .Factory Acceptance Test( FAT).pptx       .
Factory Acceptance Test( FAT).pptx .
 
High Class Escorts in Hyderabad ₹7.5k Pick Up & Drop With Cash Payment 969456...
High Class Escorts in Hyderabad ₹7.5k Pick Up & Drop With Cash Payment 969456...High Class Escorts in Hyderabad ₹7.5k Pick Up & Drop With Cash Payment 969456...
High Class Escorts in Hyderabad ₹7.5k Pick Up & Drop With Cash Payment 969456...
 
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verifiedConnaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
 
GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)
 
Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxDigital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptx
 
development of diagnostic enzyme assay to detect leuser virus
development of diagnostic enzyme assay to detect leuser virusdevelopment of diagnostic enzyme assay to detect leuser virus
development of diagnostic enzyme assay to detect leuser virus
 
Call Girls Ahmedabad +917728919243 call me Independent Escort Service
Call Girls Ahmedabad +917728919243 call me Independent Escort ServiceCall Girls Ahmedabad +917728919243 call me Independent Escort Service
Call Girls Ahmedabad +917728919243 call me Independent Escort Service
 
PSYCHOSOCIAL NEEDS. in nursing II sem pptx
PSYCHOSOCIAL NEEDS. in nursing II sem pptxPSYCHOSOCIAL NEEDS. in nursing II sem pptx
PSYCHOSOCIAL NEEDS. in nursing II sem pptx
 
Dubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai Young
Dubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai YoungDubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai Young
Dubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai Young
 
300003-World Science Day For Peace And Development.pptx
300003-World Science Day For Peace And Development.pptx300003-World Science Day For Peace And Development.pptx
300003-World Science Day For Peace And Development.pptx
 
GBSN - Microbiology (Unit 3)
GBSN - Microbiology (Unit 3)GBSN - Microbiology (Unit 3)
GBSN - Microbiology (Unit 3)
 

Cloud Migration Patterns: A Multi-Cloud Architectural Perspective

  • 1. Cloud Migration Patterns: A Multi-Cloud Architectural Perspective Pooyan Jamshidi Supervisor: Dr. Claus Pahl IC4- Irish Centre for Cloud Computing and Commerce School of Computing, Dublin City University Pooyan.jamshidi@computing.dcu.ie
  • 2.
  • 3. Source: cloudtweaks.com P. Jamshidi, A. Ahmad, C. Pahl, "Cloud Migration Research: A Systematic Review", IEEE Transactions on Cloud Computing, 2013, DOI:10.1109/TCC.2013.10.
  • 4.
  • 5. Stairway to Heaven: An Architecture-Level Characterization of Cloud Migration Strategies Application Migration Patterns for the Service Oriented Cloud
  • 6. N. Grozev and R. Buyya. Inter-cloud architectures and application brokering: taxonomy and survey. Software: Practice and Experience,
  • 7. The Multi-Cloud Deployment is effective in dealing with the following challenges: • Users are not clustered near any single data center, but form clusters around multiple data centers or are widely distributed geographically • Regulations limit options for storing data in specific data centers • Circumstances require that the public cloud be used in concert with on-premises resources • Application must be resilient to the loss of a single data center
  • 8.
  • 9. Azure incident that I personally experienced …And it lasted for 6 odd hours!
  • 10. …And it happened again in the evening on the same day!
  • 11.
  • 12.
  • 13. We do not intend to provide cloud application architectural patterns. We rather abstract these architectural layers into general concept of components and connectors. The reason behind this choice is that we have numerous cloud architectures that becomes orthogonal to the migration patterns and just add more ambiguity into that. Looking for cloud application architecture? Read these books
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43.
  • 44.
  • 45. Objective MP1 MP2 MP3 MP4 MP5 MP6 MP7 MP8 MP9 MP10 MP11 MP12 MP13 MP14 MP15 Time to market -- -- -- -- -- New capabilities -- -- -- -- Reduce operational cost -- -- -- -- -- -- Leverage investments -- -- -- Free up on-premise resources Scalability -- -- -- -- -- -- -- Operational efficiency -- -- -- -- -- -- -- -- Re-host Cloudification Relocation Refactor Rebinding Replacement Modernization
  • 46. Objective MP1 MP2 MP3 MP4 MP5 MP6 MP7 MP8 MP9 MP10 MP11 MP12 MP13 MP14 MP15 Time to market -- -- -- -- -- New capabilities -- -- -- -- -- Reduce operational cost -- -- -- -- -- -- -- Leverage investments -- -- -- -- -- -- Free up on premise resources Scalability -- -- -- -- -- -- -- Operational efficiency -- -- -- -- -- -- -- --
  • 47. Objective MP1 MP2 MP3 MP4 MP5 MP6 MP7 MP8 MP9 MP10 MP11 MP12 MP13 MP14 MP15 Time to market -- -- -- -- -- New capabilities -- -- -- -- -- Reduce operational cost -- -- -- -- -- -- -- Leverage investments -- -- -- -- -- -- Free up on premise resources Scalability -- -- -- -- -- -- -- Operational efficiency -- -- -- -- -- -- -- --
  • 48.
  • 49. P. Jamshidi, A. Ahmad, C. Pahl, "Cloud Migration Research: A Systematic Review", IEEE Transactions on Cloud Computing, 2013, DOI:10.1109/TCC.2013.10. Migration patterns Primarily facilitate planning Enable Auto-Deployment of Multi-Tier Systems in Hybrid Cloud Environment
  • 50.
  • 51.
  • 53. Migration Step Requirement Chosen Patterns 1 Minimal code changes to application and familiarity with platform MP1 2 Granular control of resource usage and opportunity for auto-scaling MP6 3 Lower cost although some limitations on feature availability MP13 4 Replacing on-premise storage with cloud offerings MP12 5 Integration with cloud utility services MP14 6 Highly available service replacement MP11 7 Better user experience, improved efficiency, and load leveling MP3
  • 54. Concern: Minimal code changes to application and familiarity with platform Selected pattern: MP1
  • 55. Concern: Granular control of resource usage and opportunity for auto-scaling Selected pattern: MP6
  • 56. Concern: Lower cost although some limitations on feature availability Selected pattern: MP13
  • 57. Concern: Replacing on-premise storage with cloud offerings Selected pattern: MP12
  • 58. Concern: Integration with cloud utility services Selected pattern: MP14
  • 59. Concern: Highly available service replacement Selected pattern: MP11
  • 60. Concern: Better user experience, improved efficiency, and load leveling Selected pattern: MP3
  • 61.
  • 62. Incremental migration New functionalities by cloud offerings Hybrid deployment Multi-tenant architectures Elastic software SaaS
  • 64. Concern: Minimal code changes to application and familiarity with platform Selected pattern: MP1
  • 65. Concern: Granular control of resource usage and opportunity for auto-scaling Selected pattern: MP6
  • 66. Concern: Granular control of resource usage and opportunity for auto-scaling Selected pattern: MP6
  • 67. Concern: Enhancing availability without architecture evolution and capital expenditure Selected pattern: MP4
  • 68. Concern: solution is improved though best-in- class cloud services Selected pattern: MP12
  • 69. Concern: loose-coupled integration with cloud utility services and re-hosted components Selected pattern: MP8
  • 70. Concern: better user experience, improved efficiency, and load leveling Selected pattern: MP3, MP6
  • 71. Concern: business expansion and BPaaS Selected pattern: MP15
  • 72. Incremental migration Business expansion Hybrid deployment Multi-tenant business processes Elastic business processes BPaaS
  • 73.
  • 75. Pooyan.jamshidi@computing.dcu.ieI would be grateful to receive your thoughts on this: