SlideShare una empresa de Scribd logo
1 de 47
Disaster Recovery using AWS
   Architecture Blueprints

         Harish Ganesan
        Co founder & CTO
             8KMiles

      Harish11g.AWS@gmail.com
               www.twitter.com/harish11g
       http://www.linkedin.com/in/harishganesan
Introduction

• Explore various ways of architecting Disaster
  recovery using Amazon cloud (AWS)
• Sample architecture element contains Managed
  DNS servers , Load Balancers and Data
  replicators
• Failover , Scalability , Load Balancing ,
  Monitoring ,Back up/Recovery and High
  Availability is factored in the architecture Blue
  prints
DR Architecture blueprints using AWS

• Blue print1 :Both Main Site and Disaster
  recovery site in AWS Cloud

• Blue print2 : Main site in AWS cloud and
  Disaster recovery site in Traditional customer
  data center

• Blue print3 : Main site in customer data center
  and Disaster recovery site in AWS cloud
List of AWS used in DR Blue prints

•   AWS Security groups
•   AWS Elastic Load balancing
•   AWS Auto Scaling
•   AWS EC2 & EBS
•   AWS CloudWatch
•   AWS Elastic IP
•   AWS S3
List of Other Architectural components used

  •   Managed DNS
  •   LAMP (or) LAMJ stack
  •   MySQL Master- Master replication
  •   SOLr Search servers
  •   Schedulers and Back ground programs
Blue Print 1 : Main and DR website in AWS


Main web site is hosted      Disaster Recovery (DR)
in AWS USA east region       web site is hosted in
                             AWS Europe region
Blue Print 1 : Main and DR website in AWS



     Main website in
      AWS Cloud


                                    AWS Europe region
     AWS USA east region


                                   Disaster Recovery
                                    website in AWS
                                         Cloud
Blue Print 1: Main and DR website in AWS
                                                 GEO IP / Directional DNS Servers directs the user requests to
                                                 Main site in AWS USA region. In case of Disaster in Main site
                                            1    AWS USA region , the web requests are directed to DR site in
                                                 Europe

                                                      GEO IP / Directional DNS Servers

               Main Site - AWS USA                                                      DR Site - AWS Europe
                     Region                                                                    Region
      AWS Auto scaling / AWS Elastic Load                                              AWS Auto scaling / AWS Elastic Load
                  Balancer                                                                         Balancer
                ELB redirects incoming requests to
         2      same Web / APP server based on           C                                                                        C
                Session Sticky Algorithm
                                                         L                                                                        L
  Web/App Servers
                              Elastic IP                 O                           Web/App Servers
                                                                                                             Elastic IP           O
                                 EBS                     U                                                      EBS               U
                                 EC2                     D                                                      EC2               D
      MySQL
      Master
                                                         W                             MySQL
                                                                                       Master
                                                                                                                                  W
                                  Search Servers         A                                                       Search Servers   A
  3                 MySQL
                                                         T                                          MySQL
                                                                                                                                  T
                    Master        Schedulers/BG          C                                          Master       Schedulers/BG    C
MySQL Master –
Master Data                                              H                                                                        H
replication
                                   D                                                                  D

                                                     Master – Master Data
                                                         replication
Blue Print 1 : Architecture Explanation

• Main website(MWS) hosted in AWS USA east
• Disaster recovery website(DRW) hosted in AWS
  Europe
• Managed DNS passes the web requests to Main
  website under normal circumstances
• AWS Elastic Load Balancer of MWS passes the
  request to appropriate web/app servers
• Web / App servers are Amazon EC2 instances
  configured with AWS EBS
• Web / App servers are enabled with Boot from EBS
                                            Continued
Blue Print 1 : Architecture Explanation

• Web/App servers are configured with AWS
  auto scaling ( Min 2 and Max 20)
• MySQL Data base servers are configured in
  Master-Master replication mode
• MySQL M-M replication inside Main site
  (MWS)
• MySQL M-M replication between Main and DR
  site ( Asynchronous mode)
• MySQL Servers are Amazon EC2 instances with
  AWS EBS ( Both Main and DR site)    Continued
Blue Print 1 : Architecture Explanation

• MySQL servers are manually scaled in Main site
• Main website (MWS) is monitored using AWS
  CloudWatch
• An exact replica of Main website infrastructure
  can be run as DR website in AWS Europe
• Web/App servers in DR website can be
  configured with AWS auto scaling ( Min 1 and
  Max 10)
• In event of failure , managed DNS will pass the
  requests to DR website in Europe Continued
Blue Print 1 : Architecture Explanation

• Disaster recovery (DR) website can take over the
  requests seamlessly from the main website in
  this architecture
• DR website can also auto scale its capacity
  depending upon the load , in short it can handle
  whatever the main site is architected for
• Once the Main site is up, the Managed DNS will
  pass the web requests and DR website can
  Shrink down automatically to minimum capacity
Blue Print 1 : Positives

• Inter regional DR for High Availability
• DR site can act immediately in event of Main
  site failure
• DR site is designed to handle same load as the
  Main site
• No compromises on the DR site with respect to
  Scalability, Security , Monitoring and Stability
• Elastic: DR site can expand and Shrink according
  to load like Main site
• Cost effective and Highly available architecture
Blue Print 1 : Negatives

• Complete Dependency on AWS cloud
• Technical intricacies in moving EBS volumes , S3
  snapshots , AMIs between AWS USA and Europe
  regions
• Migration cost of moving both Main and DR site
  to the AWS Cloud
• Impacts on existing customer data center
  contracts
• Impact of typical cloud problems like Slow IO,
  privacy and regulations apply here
Blue Print 1 : Architectural Objectives

Objectives                     Main site   DR site

Elastic Load balancing                      
Auto Scaling                                
Failover                                    
High Availability                           
Monitoring                                  
Management                                  
Replication inside a region                 
Replication across regions                  
Security                                    
Backups                                     
Recovery                                    
Solution Components : EC2 and EBS

• Elastic Block Storage (EBS)
  – Amazon Elastic Block Store (EBS) provides block level
    storage volumes for use with Amazon EC2 instances.
  – Amazon EBS is particularly suited for applications
    that require a database, file system, or access to raw
    block level storage.
  – Our Use case :Application executables ,
    configurations , Data base files and OS are installed
    in the AWS EBS in this reference architecture .
Solution Components : AWS S3

• Simple Storage Service (S3)
  – Amazon S3 provides a simple web services interface
    that can be used to store and retrieve any amount of
    data, at any time, from anywhere on the web.
  – Our Use case : The application data files that are
    uploaded , AWS EBS snapshots are stored in S3.
Solution Components : AWS ELB

• Elastic Load Balancer (ELB)
  – Elastic Load Balancing automatically distributes
    incoming application traffic across multiple Amazon
    EC2 instances.
  – Elastic Load Balancing detects unhealthy instances
    within a pool and automatically reroutes traffic to
    healthy instances until the unhealthy instances have
    been restored.
  – Our Use case : Load Distributed among Servers
    located in Multiple AZ and Dynamically Auto Scaled
    EC2 instances
Solution Components : AWS Auto Scaling

• Auto Scaling
   – Auto Scaling allows you to automatically scale your
     Amazon EC2 capacity up or down according to
     conditions you define.
   – Auto Scaling is particularly well suited for
     applications that experience hourly, daily, or weekly
     variability in usage.
   – Our Use case : EC2 Server instances dynamically
     Scaled up and Down depending upon the Load using
     the Auto scaling
Solution Components : AWS CloudWatch

• AWS CloudWatch
   – Amazon CloudWatch enables you to monitor your
     Amazon web services in real-time.
   – Amazon CloudWatch helps us to access up-to-the-
     minute statistics, graphs, and set alarms for our
     metric data.
   – Our Use case : EC2 servers , EBS , ELB are monitored
     and alerts are sent using AWS CloudWatch
Solution Components : Managed DNS

• Managed DNS
  – a solution that can monitor the health of multiple
    endpoints or websites and automatically failover at
    DNS level in case of a failure at the primary website
  – Our Use case : Used for transparent switch between
    Main and Disaster recovery website during failures
Solution Components : MySQL replication

 • MySQL Replication
    – MySQL will be setup in Master – Master replication
      mode
    – M-M setup offers failover inside data center as well
      as across Data centers
    – Data Replication will be done asynchronously
    – Our Use case : Data is replicated between Main and
      DR website MySQL database using Master-Master
      replication
Blue Print 2 : Main site in AWS


Main web site is hosted
in AWS USA east region




       Disaster Recovery (DR)
       web site is hosted in USA
       West in a Traditional
       data center
Blue Print 2 : Main site in AWS



Main website in
 AWS Cloud


                             Traditional Data center- USA
 AWS USA east                            West




                                   DR website in
                                  Traditional data
                                      center
Blue Print 2: Main site in AWS – DR site in Traditional DC
                                                 GEO IP / Directional DNS Servers directs the user requests to
                                                 Main site in AWS USA region. In case of Disaster in Main site,
                                            1    the web requests are directed to DR site in USA West



                                                      GEO IP / Directional DNS Servers

               Main Site - AWS USA                                                  DR Site – Traditional DC in
                     Region                                                                 USA west
      AWS Auto scaling / AWS Elastic Load
                                                                                           Manual scaling / Load Balancer
                  Balancer
                ELB redirects incoming requests to
         2      same Web / APP server based on            C
                Session Sticky Algorithm                                                                                           M
                                                          L
                                                                                                                                   O
                              Elastic IP                  O
  Web/App Servers                                                                    Web/App Servers                               N
                                 EBS                      U
                                                                                                                                   I
                                 EC2                      D
                                                                                                                                   T
      MySQL                                               W                            MySQL
      Master                                                                           Master
                                                                                                                  Search Servers   O
                                  Search Servers          A
                                                                                                                                   R
  3
                                                          T
                    MySQL                                                                            MySQL                         S
                    Master        Schedulers/BG           C                                          Master       Schedulers/BG
MySQL Master –
Master Data                                               H
replication
                                   D                                                                   D

                                                     Master – Master Data
                                                         replication
Blue Print 2 : Architecture Explanation

• Main website(MWS) hosted in AWS USA east
• DR website(DRW) hosted in Traditional data
  center in USA West
• Managed DNS passes the web requests to Main
  website under normal circumstances
• AWS Elastic Load Balancer of MWS passes the
  request to appropriate web/app servers
• Web / App servers are enabled with Boot from
  EBS in Main site
                                          Continued
Blue Print 2 : Architecture Explanation

• Web/App servers are configured with AWS
  auto scaling ( Min 2 and Max 20) in Main site
• MySQL Data base servers are configured in
  Master-Master replication mode
• MySQL M-M replication inside Main site
  (MWS)
• MySQL M-M replication between Main and DR
  site ( Asynchronous mode)
• MySQL Servers are Amazon EC2 instances with
  AWS EBS in Main site                 Continued
Blue Print 2 : Architecture Explanation

• MySQL Servers are virtualized instances
  configured with Network storage in DR site
• MySQL servers are manually scaled in both sites
• Main website (MWS) is monitored using AWS
  CloudWatch
• DR website will be monitored using Traditional
  data center tools
• Web/App servers in DR website runs on minimal
  capacities
                                          Continued
Blue Print 2 : Architecture Explanation

• In event of failure , managed DNS will pass the
  requests to DR website in USA West
• DR website can take over the requests
  seamlessly from the main website
• DR website cannot scale its capacity depending
  upon the load , since it is runs on a minimal non
  elastic capacity it cannot handle similar loads of
  Main site
Blue Print 2 : Positives

• DR site MAY act immediately in event of Main
  site failure (depending upon hot /warm/cold DR
  strategies)
• Leverage the existing infra contracts with
  Traditional data center provider
• Cloud adoption and migration in phases (first
  main site followed by DR site)
• Main Site handles load and DR site is a low cost
  Stop gap alternative during failures
• Partial dependency on AWS
Blue Print 2 : Negatives

• Very complicated architecture for management
  – 2 types of monitoring , provisioning, backup
    ,Security etc , In short 2 different infrastructure
    architectures has to be maintained by the sys
    admins
  – Can turn in to a maintenance nightmare if not
    administered well
• DR site cannot handle and sustain the loads of
  Main site .
• Cannot guarantee High availability
• Cost ineffective on the Sys Administration front
Blue Print 2 : Architectural Objectives

Objectives                     Main site   DR site

Elastic Load balancing                      X
Auto Scaling                                X
Failover                                    
High Availability                           X
Monitoring                                  
Management                                  
Replication inside a region                 
Replication across regions                  
Security                                    
Backups                                     
Recovery                                    
Blue Print 3 : DR site in AWS

Main web site is hosted
in Traditional Data center
in USA east region




        Disaster Recovery (DR)
        web site is hosted in
        AWS USA West Region
Blue Print 3 : DR site in AWS



DR website in AWS
     Cloud


                                  Traditional Data center- USA
   AWS USA west                                east




                                      Main website in
                                      Traditional data
                                          center
Blue Print 3: DR site in AWS – Main site in Traditional DC
                                GEO IP / Directional DNS Servers directs the user requests to
                                Main site in USA east region. In case of Disaster in Main site,
                            1   the web requests are directed to DR site in AWS USA West
                                region

                                    GEO IP / Directional DNS Servers

Main Site – Traditional DC in                                            DR Site - AWS USA west
         USA east                                                                 Region
                                                                              AWS Auto scaling / AWS Elastic Load
    Manual scaling / Load Balancer
                                                                                          Balancer
                                                                                       ELB redirects incoming requests to
                                                                                 2     same Web / APP server based on       C
                                          M                                            Session Sticky Algorithm
                                                                                                                            L
                                          O
                                                                                                     Elastic IP             O
Web/App Servers                           N                               Web/App Servers
                                                                                                        EBS                 U
                                          I
                                                                                                        EC2                 D
                                          T
 MySQL                                                                        MySQL                                         W
 Master
                        Search Servers    O                                   Master
                                                                                                         Search Servers     A
                                          R
                                                                          3
                                                                                                                            T
           MySQL                          S                                                MySQL
           Master       Schedulers/BG                                                      Master        Schedulers/BG      C
                                                                       MySQL Master –
                                                                       Master Data                                          H
                                                                       replication
                    D                                                                                     D

                                  Master – Master Data
                                      replication
Blue Print 3 : Architecture Explanation

• Main website(MWS) hosted in USA east in
  Traditional Data center
• DR website(DRW) hosted in AWS USA west
  region
• Managed DNS passes the web requests to Main
  website under normal circumstances
• Load Balancer of Main site passes the request to
  appropriate web/app servers

                                          Continued
Blue Print 3 : Architecture Explanation

• Web/App servers are configured with Manual
  scaling in Main site
• MySQL Data base servers are configured in
  Master-Master replication mode
• MySQL M-M replication inside Main site
  (MWS)
• MySQL M-M replication between Main and DR
  site ( Asynchronous mode)

                                          Continued
Blue Print 3 : Architecture Explanation

• MySQL servers are manually scaled in both sites
• DR website (MWS) is monitored using AWS
  CloudWatch
• Main website will be monitored using
  Traditional data center tools
• Web/App servers in Main website runs on
  minimal capacities


                                          Continued
Blue Print 3 : Architecture Explanation

• In event of failure , managed DNS will pass the
  requests to DR website in USA West
• DR website can take over the requests
  seamlessly from the main website
• DR website running in AWS UAS west can easily
  scale its capacity depending upon the load
Blue Print 3 : Positives

• DR site can act immediately in event of Main site
  failure
• Leverage the existing infra contracts with
  Traditional data center provider
• Cloud adoption and migration in phases (first DR
  site followed by Main site)
• Main Site handles predictable load and Elastic DR
  site will act as Stop gap alternative during failures
• Partial dependency on AWS
• Cost effective
Blue Print 3 : Negatives

• Very complicated architecture for management
  – 2 types of monitoring , provisioning, backup
    ,Security etc , In short 2 different infrastructure
    architectures has to be maintained by the sys
    admins
  – Can turn in to a maintenance nightmare if not
    administered well
• Cannot guarantee High availability
• Cost ineffective on the Sys Administration front
Blue Print 3 : Architectural Objectives

Objectives                     Main site   DR site

Elastic Load balancing            X          
Auto Scaling                      X          
Failover                                    
High Availability                           
Monitoring                                  
Management                                  
Replication inside a region                 
Replication across regions                  
Security                                    
Backups                                     
Recovery                                    
DR Architecture blueprints suitability

• Blue print1 :Both Main Site and Disaster recovery
  site in AWS Cloud
  – Suitable for web applications , Mobile apps , social and
    gaming websites
  – Unpredictable load bursts , growing companies
• Blue print2 : Main site in AWS cloud and Disaster
  recovery site in Traditional customer data center
  – Enterprises web applications, online Media companies
    etc which already have 1-2 years contracts signed with
    traditional data centers
  – Fairly predictable or “On & Off” workload bursts
DR Architecture blueprints suitability

• Blue print3 : Main site in customer data center and
  Disaster recovery site in AWS cloud
  – Suitable for applications with predictable loads
  – SMB companies which already have 1-2 years contracts
    signed with traditional data centers
Which is the right Cloud based disaster
recovery strategy for me?
Leave it to the experts , we will
solve this



 Cloud Adoption Strategy
 Cloud Architecture Consulting
 Cloud Migration
 Cloud Application Development
 Cloud Implementation

                                 “Let's get the job done”
Contact

Harish11g.aws@gmail.com
http://in.linkedin.com/in/harishganesan
www.twitter.com/harish11g
http://harish11g.blogspot.com




                                          47

Más contenido relacionado

La actualidad más candente

Elastic Load Balancing Deep Dive - AWS Online Tech Talk
Elastic  Load Balancing Deep Dive - AWS Online Tech TalkElastic  Load Balancing Deep Dive - AWS Online Tech Talk
Elastic Load Balancing Deep Dive - AWS Online Tech TalkAmazon Web Services
 
Amazon DocumentDB - Architecture 및 Best Practice (Level 200) - 발표자: 장동훈, Sr. ...
Amazon DocumentDB - Architecture 및 Best Practice (Level 200) - 발표자: 장동훈, Sr. ...Amazon DocumentDB - Architecture 및 Best Practice (Level 200) - 발표자: 장동훈, Sr. ...
Amazon DocumentDB - Architecture 및 Best Practice (Level 200) - 발표자: 장동훈, Sr. ...Amazon Web Services Korea
 
Auto scaling using Amazon Web Services ( AWS )
Auto scaling using Amazon Web Services ( AWS )Auto scaling using Amazon Web Services ( AWS )
Auto scaling using Amazon Web Services ( AWS )Harish Ganesan
 
Introduction to AWS Cost Management
Introduction to AWS Cost ManagementIntroduction to AWS Cost Management
Introduction to AWS Cost ManagementAmazon Web Services
 
AWS Landing Zone Deep Dive (ENT350-R2) - AWS re:Invent 2018
AWS Landing Zone Deep Dive (ENT350-R2) - AWS re:Invent 2018AWS Landing Zone Deep Dive (ENT350-R2) - AWS re:Invent 2018
AWS Landing Zone Deep Dive (ENT350-R2) - AWS re:Invent 2018Amazon Web Services
 
Amazon Relational Database Service (Amazon RDS)
Amazon Relational Database Service (Amazon RDS)Amazon Relational Database Service (Amazon RDS)
Amazon Relational Database Service (Amazon RDS)Amazon Web Services
 
AWS Summit Seoul 2023 | 오픈소스 데이터베이스로 탈 오라클! Why not?
AWS Summit Seoul 2023 | 오픈소스 데이터베이스로 탈 오라클! Why not?AWS Summit Seoul 2023 | 오픈소스 데이터베이스로 탈 오라클! Why not?
AWS Summit Seoul 2023 | 오픈소스 데이터베이스로 탈 오라클! Why not?Amazon Web Services Korea
 
Disaster Recovery of on-premises IT infrastructure with AWS
Disaster Recovery of on-premises IT infrastructure with AWSDisaster Recovery of on-premises IT infrastructure with AWS
Disaster Recovery of on-premises IT infrastructure with AWSAmazon Web Services
 
CJ프레시웨이 All-in 클라우드 전환 사례를 통해서 알아보는 Modernization성공 사례-오동규, 메가존 인프라 모더나이제이션 그...
CJ프레시웨이 All-in 클라우드 전환 사례를 통해서 알아보는 Modernization성공 사례-오동규, 메가존 인프라 모더나이제이션 그...CJ프레시웨이 All-in 클라우드 전환 사례를 통해서 알아보는 Modernization성공 사례-오동규, 메가존 인프라 모더나이제이션 그...
CJ프레시웨이 All-in 클라우드 전환 사례를 통해서 알아보는 Modernization성공 사례-오동규, 메가존 인프라 모더나이제이션 그...Amazon Web Services Korea
 
Automating AWS security and compliance
Automating AWS security and compliance Automating AWS security and compliance
Automating AWS security and compliance John Varghese
 
An Introduction to the AWS Well Architected Framework - Webinar
An Introduction to the AWS Well Architected Framework - WebinarAn Introduction to the AWS Well Architected Framework - Webinar
An Introduction to the AWS Well Architected Framework - WebinarAmazon Web Services
 
All you need to know about Auto scaling - Pop-up Loft
All you need to know about Auto scaling - Pop-up LoftAll you need to know about Auto scaling - Pop-up Loft
All you need to know about Auto scaling - Pop-up LoftAmazon Web Services
 
Building an Enterprise-Grade Azure Governance Model
Building an Enterprise-Grade Azure Governance ModelBuilding an Enterprise-Grade Azure Governance Model
Building an Enterprise-Grade Azure Governance ModelKarl Ots
 
Disaster Recovery, Continuity of Operations, Backup, and Archive on AWS | AWS...
Disaster Recovery, Continuity of Operations, Backup, and Archive on AWS | AWS...Disaster Recovery, Continuity of Operations, Backup, and Archive on AWS | AWS...
Disaster Recovery, Continuity of Operations, Backup, and Archive on AWS | AWS...Amazon Web Services
 
AWS Connectivity, VPC Design and Security Pro Tips
AWS Connectivity, VPC Design and Security Pro TipsAWS Connectivity, VPC Design and Security Pro Tips
AWS Connectivity, VPC Design and Security Pro TipsShiva Narayanaswamy
 

La actualidad más candente (20)

Elastic Load Balancing Deep Dive - AWS Online Tech Talk
Elastic  Load Balancing Deep Dive - AWS Online Tech TalkElastic  Load Balancing Deep Dive - AWS Online Tech Talk
Elastic Load Balancing Deep Dive - AWS Online Tech Talk
 
Amazon DocumentDB - Architecture 및 Best Practice (Level 200) - 발표자: 장동훈, Sr. ...
Amazon DocumentDB - Architecture 및 Best Practice (Level 200) - 발표자: 장동훈, Sr. ...Amazon DocumentDB - Architecture 및 Best Practice (Level 200) - 발표자: 장동훈, Sr. ...
Amazon DocumentDB - Architecture 및 Best Practice (Level 200) - 발표자: 장동훈, Sr. ...
 
Introduction to Amazon EC2
Introduction to Amazon EC2Introduction to Amazon EC2
Introduction to Amazon EC2
 
BDA311 Introduction to AWS Glue
BDA311 Introduction to AWS GlueBDA311 Introduction to AWS Glue
BDA311 Introduction to AWS Glue
 
Auto scaling using Amazon Web Services ( AWS )
Auto scaling using Amazon Web Services ( AWS )Auto scaling using Amazon Web Services ( AWS )
Auto scaling using Amazon Web Services ( AWS )
 
Introduction to AWS Cost Management
Introduction to AWS Cost ManagementIntroduction to AWS Cost Management
Introduction to AWS Cost Management
 
AWS Landing Zone Deep Dive (ENT350-R2) - AWS re:Invent 2018
AWS Landing Zone Deep Dive (ENT350-R2) - AWS re:Invent 2018AWS Landing Zone Deep Dive (ENT350-R2) - AWS re:Invent 2018
AWS Landing Zone Deep Dive (ENT350-R2) - AWS re:Invent 2018
 
AWS 101
AWS 101AWS 101
AWS 101
 
Intro to Amazon ECS
Intro to Amazon ECSIntro to Amazon ECS
Intro to Amazon ECS
 
Amazon Relational Database Service (Amazon RDS)
Amazon Relational Database Service (Amazon RDS)Amazon Relational Database Service (Amazon RDS)
Amazon Relational Database Service (Amazon RDS)
 
AWS Summit Seoul 2023 | 오픈소스 데이터베이스로 탈 오라클! Why not?
AWS Summit Seoul 2023 | 오픈소스 데이터베이스로 탈 오라클! Why not?AWS Summit Seoul 2023 | 오픈소스 데이터베이스로 탈 오라클! Why not?
AWS Summit Seoul 2023 | 오픈소스 데이터베이스로 탈 오라클! Why not?
 
Auto Scaling on AWS
Auto Scaling on AWSAuto Scaling on AWS
Auto Scaling on AWS
 
Disaster Recovery of on-premises IT infrastructure with AWS
Disaster Recovery of on-premises IT infrastructure with AWSDisaster Recovery of on-premises IT infrastructure with AWS
Disaster Recovery of on-premises IT infrastructure with AWS
 
CJ프레시웨이 All-in 클라우드 전환 사례를 통해서 알아보는 Modernization성공 사례-오동규, 메가존 인프라 모더나이제이션 그...
CJ프레시웨이 All-in 클라우드 전환 사례를 통해서 알아보는 Modernization성공 사례-오동규, 메가존 인프라 모더나이제이션 그...CJ프레시웨이 All-in 클라우드 전환 사례를 통해서 알아보는 Modernization성공 사례-오동규, 메가존 인프라 모더나이제이션 그...
CJ프레시웨이 All-in 클라우드 전환 사례를 통해서 알아보는 Modernization성공 사례-오동규, 메가존 인프라 모더나이제이션 그...
 
Automating AWS security and compliance
Automating AWS security and compliance Automating AWS security and compliance
Automating AWS security and compliance
 
An Introduction to the AWS Well Architected Framework - Webinar
An Introduction to the AWS Well Architected Framework - WebinarAn Introduction to the AWS Well Architected Framework - Webinar
An Introduction to the AWS Well Architected Framework - Webinar
 
All you need to know about Auto scaling - Pop-up Loft
All you need to know about Auto scaling - Pop-up LoftAll you need to know about Auto scaling - Pop-up Loft
All you need to know about Auto scaling - Pop-up Loft
 
Building an Enterprise-Grade Azure Governance Model
Building an Enterprise-Grade Azure Governance ModelBuilding an Enterprise-Grade Azure Governance Model
Building an Enterprise-Grade Azure Governance Model
 
Disaster Recovery, Continuity of Operations, Backup, and Archive on AWS | AWS...
Disaster Recovery, Continuity of Operations, Backup, and Archive on AWS | AWS...Disaster Recovery, Continuity of Operations, Backup, and Archive on AWS | AWS...
Disaster Recovery, Continuity of Operations, Backup, and Archive on AWS | AWS...
 
AWS Connectivity, VPC Design and Security Pro Tips
AWS Connectivity, VPC Design and Security Pro TipsAWS Connectivity, VPC Design and Security Pro Tips
AWS Connectivity, VPC Design and Security Pro Tips
 

Destacado

MySQL Server Backup, Restoration, And Disaster Recovery Planning Presentation
MySQL Server Backup, Restoration, And Disaster Recovery Planning PresentationMySQL Server Backup, Restoration, And Disaster Recovery Planning Presentation
MySQL Server Backup, Restoration, And Disaster Recovery Planning PresentationColin Charles
 
AWS Blackbelt NINJA Dojo – Dean Samuels
AWS Blackbelt NINJA Dojo – Dean SamuelsAWS Blackbelt NINJA Dojo – Dean Samuels
AWS Blackbelt NINJA Dojo – Dean SamuelsAmazon Web Services
 
(SDD403) Amazon RDS for MySQL Deep Dive | AWS re:Invent 2014
(SDD403) Amazon RDS for MySQL Deep Dive | AWS re:Invent 2014(SDD403) Amazon RDS for MySQL Deep Dive | AWS re:Invent 2014
(SDD403) Amazon RDS for MySQL Deep Dive | AWS re:Invent 2014Amazon Web Services
 
Deep Dive on Amazon Relational Database Service
Deep Dive on Amazon Relational Database ServiceDeep Dive on Amazon Relational Database Service
Deep Dive on Amazon Relational Database ServiceAmazon Web Services
 
Oracle RAC Internals - The Cache Fusion Edition
Oracle RAC Internals - The Cache Fusion EditionOracle RAC Internals - The Cache Fusion Edition
Oracle RAC Internals - The Cache Fusion EditionMarkus Michalewicz
 
Oracle Databases on AWS - Getting the Best Out of RDS and EC2
Oracle Databases on AWS - Getting the Best Out of RDS and EC2Oracle Databases on AWS - Getting the Best Out of RDS and EC2
Oracle Databases on AWS - Getting the Best Out of RDS and EC2Maris Elsins
 
Database as a Service on the Oracle Database Appliance Platform
Database as a Service on the Oracle Database Appliance PlatformDatabase as a Service on the Oracle Database Appliance Platform
Database as a Service on the Oracle Database Appliance PlatformMaris Elsins
 
(NET406) Deep Dive: AWS Direct Connect and VPNs
(NET406) Deep Dive: AWS Direct Connect and VPNs(NET406) Deep Dive: AWS Direct Connect and VPNs
(NET406) Deep Dive: AWS Direct Connect and VPNsAmazon Web Services
 
Broken Linux Performance Tools 2016
Broken Linux Performance Tools 2016Broken Linux Performance Tools 2016
Broken Linux Performance Tools 2016Brendan Gregg
 
Cloud Instances Price Comparison: AWS vs Azure vs Google vs IBM
Cloud Instances Price Comparison: AWS vs Azure vs Google vs IBMCloud Instances Price Comparison: AWS vs Azure vs Google vs IBM
Cloud Instances Price Comparison: AWS vs Azure vs Google vs IBMRightScale
 
AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)
AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)
AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)Amazon Web Services
 
AWS 101: Cloud Computing Seminar (2012)
AWS 101: Cloud Computing Seminar (2012)AWS 101: Cloud Computing Seminar (2012)
AWS 101: Cloud Computing Seminar (2012)Amazon Web Services
 
Essential Capabilities of an IoT Cloud Platform - AWS Online Tech Talks
Essential Capabilities of an IoT Cloud Platform - AWS Online Tech TalksEssential Capabilities of an IoT Cloud Platform - AWS Online Tech Talks
Essential Capabilities of an IoT Cloud Platform - AWS Online Tech TalksAmazon Web Services
 
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...Edureka!
 

Destacado (16)

MySQL Server Backup, Restoration, And Disaster Recovery Planning Presentation
MySQL Server Backup, Restoration, And Disaster Recovery Planning PresentationMySQL Server Backup, Restoration, And Disaster Recovery Planning Presentation
MySQL Server Backup, Restoration, And Disaster Recovery Planning Presentation
 
Deep Dive on Amazon RDS
Deep Dive on Amazon RDSDeep Dive on Amazon RDS
Deep Dive on Amazon RDS
 
AWS Blackbelt NINJA Dojo – Dean Samuels
AWS Blackbelt NINJA Dojo – Dean SamuelsAWS Blackbelt NINJA Dojo – Dean Samuels
AWS Blackbelt NINJA Dojo – Dean Samuels
 
(SDD403) Amazon RDS for MySQL Deep Dive | AWS re:Invent 2014
(SDD403) Amazon RDS for MySQL Deep Dive | AWS re:Invent 2014(SDD403) Amazon RDS for MySQL Deep Dive | AWS re:Invent 2014
(SDD403) Amazon RDS for MySQL Deep Dive | AWS re:Invent 2014
 
Deep Dive on Amazon Relational Database Service
Deep Dive on Amazon Relational Database ServiceDeep Dive on Amazon Relational Database Service
Deep Dive on Amazon Relational Database Service
 
Oracle RAC Internals - The Cache Fusion Edition
Oracle RAC Internals - The Cache Fusion EditionOracle RAC Internals - The Cache Fusion Edition
Oracle RAC Internals - The Cache Fusion Edition
 
Oracle Databases on AWS - Getting the Best Out of RDS and EC2
Oracle Databases on AWS - Getting the Best Out of RDS and EC2Oracle Databases on AWS - Getting the Best Out of RDS and EC2
Oracle Databases on AWS - Getting the Best Out of RDS and EC2
 
Database as a Service on the Oracle Database Appliance Platform
Database as a Service on the Oracle Database Appliance PlatformDatabase as a Service on the Oracle Database Appliance Platform
Database as a Service on the Oracle Database Appliance Platform
 
AWS Direct Connect
AWS Direct ConnectAWS Direct Connect
AWS Direct Connect
 
(NET406) Deep Dive: AWS Direct Connect and VPNs
(NET406) Deep Dive: AWS Direct Connect and VPNs(NET406) Deep Dive: AWS Direct Connect and VPNs
(NET406) Deep Dive: AWS Direct Connect and VPNs
 
Broken Linux Performance Tools 2016
Broken Linux Performance Tools 2016Broken Linux Performance Tools 2016
Broken Linux Performance Tools 2016
 
Cloud Instances Price Comparison: AWS vs Azure vs Google vs IBM
Cloud Instances Price Comparison: AWS vs Azure vs Google vs IBMCloud Instances Price Comparison: AWS vs Azure vs Google vs IBM
Cloud Instances Price Comparison: AWS vs Azure vs Google vs IBM
 
AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)
AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)
AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)
 
AWS 101: Cloud Computing Seminar (2012)
AWS 101: Cloud Computing Seminar (2012)AWS 101: Cloud Computing Seminar (2012)
AWS 101: Cloud Computing Seminar (2012)
 
Essential Capabilities of an IoT Cloud Platform - AWS Online Tech Talks
Essential Capabilities of an IoT Cloud Platform - AWS Online Tech TalksEssential Capabilities of an IoT Cloud Platform - AWS Online Tech Talks
Essential Capabilities of an IoT Cloud Platform - AWS Online Tech Talks
 
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...
 

Similar a Disaster Recovery using AWS -Architecture blueprints

Scalable Architecture on Amazon AWS Cloud - Indicthreads cloud computing conf...
Scalable Architecture on Amazon AWS Cloud - Indicthreads cloud computing conf...Scalable Architecture on Amazon AWS Cloud - Indicthreads cloud computing conf...
Scalable Architecture on Amazon AWS Cloud - Indicthreads cloud computing conf...IndicThreads
 
Netflix Global Cloud Architecture
Netflix Global Cloud ArchitectureNetflix Global Cloud Architecture
Netflix Global Cloud ArchitectureAdrian Cockcroft
 
Aws 201:Advanced Breakout Track on HA and DR
Aws 201:Advanced Breakout Track on HA and DRAws 201:Advanced Breakout Track on HA and DR
Aws 201:Advanced Breakout Track on HA and DRHarish Ganesan
 
NYC Amazon Web Services Meetup: How Glue uses AWS
NYC Amazon Web Services Meetup: How Glue uses AWSNYC Amazon Web Services Meetup: How Glue uses AWS
NYC Amazon Web Services Meetup: How Glue uses AWSAlex Iskold
 
Disaster Recovery and Business Continuity - Toronto FSI Symposium - October 2016
Disaster Recovery and Business Continuity - Toronto FSI Symposium - October 2016Disaster Recovery and Business Continuity - Toronto FSI Symposium - October 2016
Disaster Recovery and Business Continuity - Toronto FSI Symposium - October 2016Amazon Web Services
 
Ceate a Scalable Cloud Architecture
Ceate a Scalable Cloud ArchitectureCeate a Scalable Cloud Architecture
Ceate a Scalable Cloud ArchitectureAmazon Web Services
 
AWS Customer Presentation - AdaptiveBlue
AWS Customer Presentation - AdaptiveBlueAWS Customer Presentation - AdaptiveBlue
AWS Customer Presentation - AdaptiveBlueAmazon Web Services
 
Cloud Computing & Scaling Web Apps
Cloud Computing & Scaling Web AppsCloud Computing & Scaling Web Apps
Cloud Computing & Scaling Web AppsMark Slingsby
 
Database Freedom - ADB304 - Santa Clara AWS Summit
Database Freedom - ADB304 - Santa Clara AWS SummitDatabase Freedom - ADB304 - Santa Clara AWS Summit
Database Freedom - ADB304 - Santa Clara AWS SummitAmazon Web Services
 
Cloud Developer Conference May 2011 SiliconIndia : Design for Failure - High ...
Cloud Developer Conference May 2011 SiliconIndia : Design for Failure - High ...Cloud Developer Conference May 2011 SiliconIndia : Design for Failure - High ...
Cloud Developer Conference May 2011 SiliconIndia : Design for Failure - High ...Harish Ganesan
 
Aplicaciones a gran escala: Cómo servir a millones de usuarios
Aplicaciones a gran escala: Cómo servir a millones de usuariosAplicaciones a gran escala: Cómo servir a millones de usuarios
Aplicaciones a gran escala: Cómo servir a millones de usuariosAmazon Web Services
 
Percona Live 2014 - Scaling MySQL in AWS
Percona Live 2014 - Scaling MySQL in AWSPercona Live 2014 - Scaling MySQL in AWS
Percona Live 2014 - Scaling MySQL in AWSPythian
 
Migrating Your Databases to AWS Deep Dive on Amazon RDS and AWS
Migrating Your Databases to AWS Deep Dive on Amazon RDS and AWSMigrating Your Databases to AWS Deep Dive on Amazon RDS and AWS
Migrating Your Databases to AWS Deep Dive on Amazon RDS and AWSKristana Kane
 
Serverless Databases - Amazon DynamoDB and Amazon Aurora Serverless - Demo
Serverless Databases - Amazon DynamoDB and Amazon Aurora Serverless - DemoServerless Databases - Amazon DynamoDB and Amazon Aurora Serverless - Demo
Serverless Databases - Amazon DynamoDB and Amazon Aurora Serverless - DemoAmazon Web Services
 
Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum Efficiency
Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum EfficiencyDeploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum Efficiency
Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum EfficiencyAmazon Web Services
 
DAT309_Best Practices for Migrating from Oracle and SQL Server to Amazon RDS
DAT309_Best Practices for Migrating from Oracle and SQL Server to Amazon RDSDAT309_Best Practices for Migrating from Oracle and SQL Server to Amazon RDS
DAT309_Best Practices for Migrating from Oracle and SQL Server to Amazon RDSAmazon Web Services
 
Infopark AG - AWS Customer Presentation
Infopark AG - AWS Customer PresentationInfopark AG - AWS Customer Presentation
Infopark AG - AWS Customer PresentationAmazon Web Services
 
Microsoft PaaS Cloud Windows Azure Platform
Microsoft PaaS Cloud Windows Azure PlatformMicrosoft PaaS Cloud Windows Azure Platform
Microsoft PaaS Cloud Windows Azure PlatformEsri
 
Scale Up and Modernize Your Database with Amazon Relational Database Service ...
Scale Up and Modernize Your Database with Amazon Relational Database Service ...Scale Up and Modernize Your Database with Amazon Relational Database Service ...
Scale Up and Modernize Your Database with Amazon Relational Database Service ...Amazon Web Services
 
Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum Efficiency
Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum EfficiencyDeploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum Efficiency
Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum EfficiencyAmazon Web Services
 

Similar a Disaster Recovery using AWS -Architecture blueprints (20)

Scalable Architecture on Amazon AWS Cloud - Indicthreads cloud computing conf...
Scalable Architecture on Amazon AWS Cloud - Indicthreads cloud computing conf...Scalable Architecture on Amazon AWS Cloud - Indicthreads cloud computing conf...
Scalable Architecture on Amazon AWS Cloud - Indicthreads cloud computing conf...
 
Netflix Global Cloud Architecture
Netflix Global Cloud ArchitectureNetflix Global Cloud Architecture
Netflix Global Cloud Architecture
 
Aws 201:Advanced Breakout Track on HA and DR
Aws 201:Advanced Breakout Track on HA and DRAws 201:Advanced Breakout Track on HA and DR
Aws 201:Advanced Breakout Track on HA and DR
 
NYC Amazon Web Services Meetup: How Glue uses AWS
NYC Amazon Web Services Meetup: How Glue uses AWSNYC Amazon Web Services Meetup: How Glue uses AWS
NYC Amazon Web Services Meetup: How Glue uses AWS
 
Disaster Recovery and Business Continuity - Toronto FSI Symposium - October 2016
Disaster Recovery and Business Continuity - Toronto FSI Symposium - October 2016Disaster Recovery and Business Continuity - Toronto FSI Symposium - October 2016
Disaster Recovery and Business Continuity - Toronto FSI Symposium - October 2016
 
Ceate a Scalable Cloud Architecture
Ceate a Scalable Cloud ArchitectureCeate a Scalable Cloud Architecture
Ceate a Scalable Cloud Architecture
 
AWS Customer Presentation - AdaptiveBlue
AWS Customer Presentation - AdaptiveBlueAWS Customer Presentation - AdaptiveBlue
AWS Customer Presentation - AdaptiveBlue
 
Cloud Computing & Scaling Web Apps
Cloud Computing & Scaling Web AppsCloud Computing & Scaling Web Apps
Cloud Computing & Scaling Web Apps
 
Database Freedom - ADB304 - Santa Clara AWS Summit
Database Freedom - ADB304 - Santa Clara AWS SummitDatabase Freedom - ADB304 - Santa Clara AWS Summit
Database Freedom - ADB304 - Santa Clara AWS Summit
 
Cloud Developer Conference May 2011 SiliconIndia : Design for Failure - High ...
Cloud Developer Conference May 2011 SiliconIndia : Design for Failure - High ...Cloud Developer Conference May 2011 SiliconIndia : Design for Failure - High ...
Cloud Developer Conference May 2011 SiliconIndia : Design for Failure - High ...
 
Aplicaciones a gran escala: Cómo servir a millones de usuarios
Aplicaciones a gran escala: Cómo servir a millones de usuariosAplicaciones a gran escala: Cómo servir a millones de usuarios
Aplicaciones a gran escala: Cómo servir a millones de usuarios
 
Percona Live 2014 - Scaling MySQL in AWS
Percona Live 2014 - Scaling MySQL in AWSPercona Live 2014 - Scaling MySQL in AWS
Percona Live 2014 - Scaling MySQL in AWS
 
Migrating Your Databases to AWS Deep Dive on Amazon RDS and AWS
Migrating Your Databases to AWS Deep Dive on Amazon RDS and AWSMigrating Your Databases to AWS Deep Dive on Amazon RDS and AWS
Migrating Your Databases to AWS Deep Dive on Amazon RDS and AWS
 
Serverless Databases - Amazon DynamoDB and Amazon Aurora Serverless - Demo
Serverless Databases - Amazon DynamoDB and Amazon Aurora Serverless - DemoServerless Databases - Amazon DynamoDB and Amazon Aurora Serverless - Demo
Serverless Databases - Amazon DynamoDB and Amazon Aurora Serverless - Demo
 
Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum Efficiency
Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum EfficiencyDeploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum Efficiency
Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum Efficiency
 
DAT309_Best Practices for Migrating from Oracle and SQL Server to Amazon RDS
DAT309_Best Practices for Migrating from Oracle and SQL Server to Amazon RDSDAT309_Best Practices for Migrating from Oracle and SQL Server to Amazon RDS
DAT309_Best Practices for Migrating from Oracle and SQL Server to Amazon RDS
 
Infopark AG - AWS Customer Presentation
Infopark AG - AWS Customer PresentationInfopark AG - AWS Customer Presentation
Infopark AG - AWS Customer Presentation
 
Microsoft PaaS Cloud Windows Azure Platform
Microsoft PaaS Cloud Windows Azure PlatformMicrosoft PaaS Cloud Windows Azure Platform
Microsoft PaaS Cloud Windows Azure Platform
 
Scale Up and Modernize Your Database with Amazon Relational Database Service ...
Scale Up and Modernize Your Database with Amazon Relational Database Service ...Scale Up and Modernize Your Database with Amazon Relational Database Service ...
Scale Up and Modernize Your Database with Amazon Relational Database Service ...
 
Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum Efficiency
Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum EfficiencyDeploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum Efficiency
Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum Efficiency
 

Más de Harish Ganesan

Amazon cloud search_vs_apache_solr_vs_elasticsearch_comparison_report_v11
Amazon cloud search_vs_apache_solr_vs_elasticsearch_comparison_report_v11Amazon cloud search_vs_apache_solr_vs_elasticsearch_comparison_report_v11
Amazon cloud search_vs_apache_solr_vs_elasticsearch_comparison_report_v11Harish Ganesan
 
Cloud Connect 2013- Lock Stock and x Smoking EC2's
Cloud Connect 2013- Lock Stock and x Smoking EC2'sCloud Connect 2013- Lock Stock and x Smoking EC2's
Cloud Connect 2013- Lock Stock and x Smoking EC2'sHarish Ganesan
 
Overview of Amazon Web Services
Overview of Amazon Web ServicesOverview of Amazon Web Services
Overview of Amazon Web ServicesHarish Ganesan
 
The art of infrastructure elasticity
The art of infrastructure elasticityThe art of infrastructure elasticity
The art of infrastructure elasticityHarish Ganesan
 
Architecting an Highly Available and Scalable WordPress Site in AWS
Architecting an Highly Available and Scalable WordPress Site in AWS Architecting an Highly Available and Scalable WordPress Site in AWS
Architecting an Highly Available and Scalable WordPress Site in AWS Harish Ganesan
 
Scale new business peaks with Amazon auto scaling
Scale new business peaks with Amazon auto scalingScale new business peaks with Amazon auto scaling
Scale new business peaks with Amazon auto scalingHarish Ganesan
 
Prepare your IT Infrastructure for Thanksgiving
Prepare your IT Infrastructure for ThanksgivingPrepare your IT Infrastructure for Thanksgiving
Prepare your IT Infrastructure for ThanksgivingHarish Ganesan
 

Más de Harish Ganesan (7)

Amazon cloud search_vs_apache_solr_vs_elasticsearch_comparison_report_v11
Amazon cloud search_vs_apache_solr_vs_elasticsearch_comparison_report_v11Amazon cloud search_vs_apache_solr_vs_elasticsearch_comparison_report_v11
Amazon cloud search_vs_apache_solr_vs_elasticsearch_comparison_report_v11
 
Cloud Connect 2013- Lock Stock and x Smoking EC2's
Cloud Connect 2013- Lock Stock and x Smoking EC2'sCloud Connect 2013- Lock Stock and x Smoking EC2's
Cloud Connect 2013- Lock Stock and x Smoking EC2's
 
Overview of Amazon Web Services
Overview of Amazon Web ServicesOverview of Amazon Web Services
Overview of Amazon Web Services
 
The art of infrastructure elasticity
The art of infrastructure elasticityThe art of infrastructure elasticity
The art of infrastructure elasticity
 
Architecting an Highly Available and Scalable WordPress Site in AWS
Architecting an Highly Available and Scalable WordPress Site in AWS Architecting an Highly Available and Scalable WordPress Site in AWS
Architecting an Highly Available and Scalable WordPress Site in AWS
 
Scale new business peaks with Amazon auto scaling
Scale new business peaks with Amazon auto scalingScale new business peaks with Amazon auto scaling
Scale new business peaks with Amazon auto scaling
 
Prepare your IT Infrastructure for Thanksgiving
Prepare your IT Infrastructure for ThanksgivingPrepare your IT Infrastructure for Thanksgiving
Prepare your IT Infrastructure for Thanksgiving
 

Último

Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Hiroshi SHIBATA
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...Scott Andery
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfIngrid Airi González
 
Manual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditManual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditSkynet Technologies
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...Wes McKinney
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesKari Kakkonen
 
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...panagenda
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesThousandEyes
 
Scale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterScale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterMydbops
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 

Último (20)

Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdf
 
Manual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditManual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance Audit
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examples
 
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
 
Scale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterScale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL Router
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 

Disaster Recovery using AWS -Architecture blueprints

  • 1. Disaster Recovery using AWS Architecture Blueprints Harish Ganesan Co founder & CTO 8KMiles Harish11g.AWS@gmail.com www.twitter.com/harish11g http://www.linkedin.com/in/harishganesan
  • 2. Introduction • Explore various ways of architecting Disaster recovery using Amazon cloud (AWS) • Sample architecture element contains Managed DNS servers , Load Balancers and Data replicators • Failover , Scalability , Load Balancing , Monitoring ,Back up/Recovery and High Availability is factored in the architecture Blue prints
  • 3. DR Architecture blueprints using AWS • Blue print1 :Both Main Site and Disaster recovery site in AWS Cloud • Blue print2 : Main site in AWS cloud and Disaster recovery site in Traditional customer data center • Blue print3 : Main site in customer data center and Disaster recovery site in AWS cloud
  • 4. List of AWS used in DR Blue prints • AWS Security groups • AWS Elastic Load balancing • AWS Auto Scaling • AWS EC2 & EBS • AWS CloudWatch • AWS Elastic IP • AWS S3
  • 5. List of Other Architectural components used • Managed DNS • LAMP (or) LAMJ stack • MySQL Master- Master replication • SOLr Search servers • Schedulers and Back ground programs
  • 6. Blue Print 1 : Main and DR website in AWS Main web site is hosted Disaster Recovery (DR) in AWS USA east region web site is hosted in AWS Europe region
  • 7. Blue Print 1 : Main and DR website in AWS Main website in AWS Cloud AWS Europe region AWS USA east region Disaster Recovery website in AWS Cloud
  • 8. Blue Print 1: Main and DR website in AWS GEO IP / Directional DNS Servers directs the user requests to Main site in AWS USA region. In case of Disaster in Main site 1 AWS USA region , the web requests are directed to DR site in Europe GEO IP / Directional DNS Servers Main Site - AWS USA DR Site - AWS Europe Region Region AWS Auto scaling / AWS Elastic Load AWS Auto scaling / AWS Elastic Load Balancer Balancer ELB redirects incoming requests to 2 same Web / APP server based on C C Session Sticky Algorithm L L Web/App Servers Elastic IP O Web/App Servers Elastic IP O EBS U EBS U EC2 D EC2 D MySQL Master W MySQL Master W Search Servers A Search Servers A 3 MySQL T MySQL T Master Schedulers/BG C Master Schedulers/BG C MySQL Master – Master Data H H replication D D Master – Master Data replication
  • 9. Blue Print 1 : Architecture Explanation • Main website(MWS) hosted in AWS USA east • Disaster recovery website(DRW) hosted in AWS Europe • Managed DNS passes the web requests to Main website under normal circumstances • AWS Elastic Load Balancer of MWS passes the request to appropriate web/app servers • Web / App servers are Amazon EC2 instances configured with AWS EBS • Web / App servers are enabled with Boot from EBS Continued
  • 10. Blue Print 1 : Architecture Explanation • Web/App servers are configured with AWS auto scaling ( Min 2 and Max 20) • MySQL Data base servers are configured in Master-Master replication mode • MySQL M-M replication inside Main site (MWS) • MySQL M-M replication between Main and DR site ( Asynchronous mode) • MySQL Servers are Amazon EC2 instances with AWS EBS ( Both Main and DR site) Continued
  • 11. Blue Print 1 : Architecture Explanation • MySQL servers are manually scaled in Main site • Main website (MWS) is monitored using AWS CloudWatch • An exact replica of Main website infrastructure can be run as DR website in AWS Europe • Web/App servers in DR website can be configured with AWS auto scaling ( Min 1 and Max 10) • In event of failure , managed DNS will pass the requests to DR website in Europe Continued
  • 12. Blue Print 1 : Architecture Explanation • Disaster recovery (DR) website can take over the requests seamlessly from the main website in this architecture • DR website can also auto scale its capacity depending upon the load , in short it can handle whatever the main site is architected for • Once the Main site is up, the Managed DNS will pass the web requests and DR website can Shrink down automatically to minimum capacity
  • 13. Blue Print 1 : Positives • Inter regional DR for High Availability • DR site can act immediately in event of Main site failure • DR site is designed to handle same load as the Main site • No compromises on the DR site with respect to Scalability, Security , Monitoring and Stability • Elastic: DR site can expand and Shrink according to load like Main site • Cost effective and Highly available architecture
  • 14. Blue Print 1 : Negatives • Complete Dependency on AWS cloud • Technical intricacies in moving EBS volumes , S3 snapshots , AMIs between AWS USA and Europe regions • Migration cost of moving both Main and DR site to the AWS Cloud • Impacts on existing customer data center contracts • Impact of typical cloud problems like Slow IO, privacy and regulations apply here
  • 15. Blue Print 1 : Architectural Objectives Objectives Main site DR site Elastic Load balancing   Auto Scaling   Failover   High Availability   Monitoring   Management   Replication inside a region   Replication across regions   Security   Backups   Recovery  
  • 16. Solution Components : EC2 and EBS • Elastic Block Storage (EBS) – Amazon Elastic Block Store (EBS) provides block level storage volumes for use with Amazon EC2 instances. – Amazon EBS is particularly suited for applications that require a database, file system, or access to raw block level storage. – Our Use case :Application executables , configurations , Data base files and OS are installed in the AWS EBS in this reference architecture .
  • 17. Solution Components : AWS S3 • Simple Storage Service (S3) – Amazon S3 provides a simple web services interface that can be used to store and retrieve any amount of data, at any time, from anywhere on the web. – Our Use case : The application data files that are uploaded , AWS EBS snapshots are stored in S3.
  • 18. Solution Components : AWS ELB • Elastic Load Balancer (ELB) – Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances. – Elastic Load Balancing detects unhealthy instances within a pool and automatically reroutes traffic to healthy instances until the unhealthy instances have been restored. – Our Use case : Load Distributed among Servers located in Multiple AZ and Dynamically Auto Scaled EC2 instances
  • 19. Solution Components : AWS Auto Scaling • Auto Scaling – Auto Scaling allows you to automatically scale your Amazon EC2 capacity up or down according to conditions you define. – Auto Scaling is particularly well suited for applications that experience hourly, daily, or weekly variability in usage. – Our Use case : EC2 Server instances dynamically Scaled up and Down depending upon the Load using the Auto scaling
  • 20. Solution Components : AWS CloudWatch • AWS CloudWatch – Amazon CloudWatch enables you to monitor your Amazon web services in real-time. – Amazon CloudWatch helps us to access up-to-the- minute statistics, graphs, and set alarms for our metric data. – Our Use case : EC2 servers , EBS , ELB are monitored and alerts are sent using AWS CloudWatch
  • 21. Solution Components : Managed DNS • Managed DNS – a solution that can monitor the health of multiple endpoints or websites and automatically failover at DNS level in case of a failure at the primary website – Our Use case : Used for transparent switch between Main and Disaster recovery website during failures
  • 22. Solution Components : MySQL replication • MySQL Replication – MySQL will be setup in Master – Master replication mode – M-M setup offers failover inside data center as well as across Data centers – Data Replication will be done asynchronously – Our Use case : Data is replicated between Main and DR website MySQL database using Master-Master replication
  • 23. Blue Print 2 : Main site in AWS Main web site is hosted in AWS USA east region Disaster Recovery (DR) web site is hosted in USA West in a Traditional data center
  • 24. Blue Print 2 : Main site in AWS Main website in AWS Cloud Traditional Data center- USA AWS USA east West DR website in Traditional data center
  • 25. Blue Print 2: Main site in AWS – DR site in Traditional DC GEO IP / Directional DNS Servers directs the user requests to Main site in AWS USA region. In case of Disaster in Main site, 1 the web requests are directed to DR site in USA West GEO IP / Directional DNS Servers Main Site - AWS USA DR Site – Traditional DC in Region USA west AWS Auto scaling / AWS Elastic Load Manual scaling / Load Balancer Balancer ELB redirects incoming requests to 2 same Web / APP server based on C Session Sticky Algorithm M L O Elastic IP O Web/App Servers Web/App Servers N EBS U I EC2 D T MySQL W MySQL Master Master Search Servers O Search Servers A R 3 T MySQL MySQL S Master Schedulers/BG C Master Schedulers/BG MySQL Master – Master Data H replication D D Master – Master Data replication
  • 26. Blue Print 2 : Architecture Explanation • Main website(MWS) hosted in AWS USA east • DR website(DRW) hosted in Traditional data center in USA West • Managed DNS passes the web requests to Main website under normal circumstances • AWS Elastic Load Balancer of MWS passes the request to appropriate web/app servers • Web / App servers are enabled with Boot from EBS in Main site Continued
  • 27. Blue Print 2 : Architecture Explanation • Web/App servers are configured with AWS auto scaling ( Min 2 and Max 20) in Main site • MySQL Data base servers are configured in Master-Master replication mode • MySQL M-M replication inside Main site (MWS) • MySQL M-M replication between Main and DR site ( Asynchronous mode) • MySQL Servers are Amazon EC2 instances with AWS EBS in Main site Continued
  • 28. Blue Print 2 : Architecture Explanation • MySQL Servers are virtualized instances configured with Network storage in DR site • MySQL servers are manually scaled in both sites • Main website (MWS) is monitored using AWS CloudWatch • DR website will be monitored using Traditional data center tools • Web/App servers in DR website runs on minimal capacities Continued
  • 29. Blue Print 2 : Architecture Explanation • In event of failure , managed DNS will pass the requests to DR website in USA West • DR website can take over the requests seamlessly from the main website • DR website cannot scale its capacity depending upon the load , since it is runs on a minimal non elastic capacity it cannot handle similar loads of Main site
  • 30. Blue Print 2 : Positives • DR site MAY act immediately in event of Main site failure (depending upon hot /warm/cold DR strategies) • Leverage the existing infra contracts with Traditional data center provider • Cloud adoption and migration in phases (first main site followed by DR site) • Main Site handles load and DR site is a low cost Stop gap alternative during failures • Partial dependency on AWS
  • 31. Blue Print 2 : Negatives • Very complicated architecture for management – 2 types of monitoring , provisioning, backup ,Security etc , In short 2 different infrastructure architectures has to be maintained by the sys admins – Can turn in to a maintenance nightmare if not administered well • DR site cannot handle and sustain the loads of Main site . • Cannot guarantee High availability • Cost ineffective on the Sys Administration front
  • 32. Blue Print 2 : Architectural Objectives Objectives Main site DR site Elastic Load balancing  X Auto Scaling  X Failover   High Availability  X Monitoring   Management   Replication inside a region   Replication across regions   Security   Backups   Recovery  
  • 33. Blue Print 3 : DR site in AWS Main web site is hosted in Traditional Data center in USA east region Disaster Recovery (DR) web site is hosted in AWS USA West Region
  • 34. Blue Print 3 : DR site in AWS DR website in AWS Cloud Traditional Data center- USA AWS USA west east Main website in Traditional data center
  • 35. Blue Print 3: DR site in AWS – Main site in Traditional DC GEO IP / Directional DNS Servers directs the user requests to Main site in USA east region. In case of Disaster in Main site, 1 the web requests are directed to DR site in AWS USA West region GEO IP / Directional DNS Servers Main Site – Traditional DC in DR Site - AWS USA west USA east Region AWS Auto scaling / AWS Elastic Load Manual scaling / Load Balancer Balancer ELB redirects incoming requests to 2 same Web / APP server based on C M Session Sticky Algorithm L O Elastic IP O Web/App Servers N Web/App Servers EBS U I EC2 D T MySQL MySQL W Master Search Servers O Master Search Servers A R 3 T MySQL S MySQL Master Schedulers/BG Master Schedulers/BG C MySQL Master – Master Data H replication D D Master – Master Data replication
  • 36. Blue Print 3 : Architecture Explanation • Main website(MWS) hosted in USA east in Traditional Data center • DR website(DRW) hosted in AWS USA west region • Managed DNS passes the web requests to Main website under normal circumstances • Load Balancer of Main site passes the request to appropriate web/app servers Continued
  • 37. Blue Print 3 : Architecture Explanation • Web/App servers are configured with Manual scaling in Main site • MySQL Data base servers are configured in Master-Master replication mode • MySQL M-M replication inside Main site (MWS) • MySQL M-M replication between Main and DR site ( Asynchronous mode) Continued
  • 38. Blue Print 3 : Architecture Explanation • MySQL servers are manually scaled in both sites • DR website (MWS) is monitored using AWS CloudWatch • Main website will be monitored using Traditional data center tools • Web/App servers in Main website runs on minimal capacities Continued
  • 39. Blue Print 3 : Architecture Explanation • In event of failure , managed DNS will pass the requests to DR website in USA West • DR website can take over the requests seamlessly from the main website • DR website running in AWS UAS west can easily scale its capacity depending upon the load
  • 40. Blue Print 3 : Positives • DR site can act immediately in event of Main site failure • Leverage the existing infra contracts with Traditional data center provider • Cloud adoption and migration in phases (first DR site followed by Main site) • Main Site handles predictable load and Elastic DR site will act as Stop gap alternative during failures • Partial dependency on AWS • Cost effective
  • 41. Blue Print 3 : Negatives • Very complicated architecture for management – 2 types of monitoring , provisioning, backup ,Security etc , In short 2 different infrastructure architectures has to be maintained by the sys admins – Can turn in to a maintenance nightmare if not administered well • Cannot guarantee High availability • Cost ineffective on the Sys Administration front
  • 42. Blue Print 3 : Architectural Objectives Objectives Main site DR site Elastic Load balancing X  Auto Scaling X  Failover   High Availability   Monitoring   Management   Replication inside a region   Replication across regions   Security   Backups   Recovery  
  • 43. DR Architecture blueprints suitability • Blue print1 :Both Main Site and Disaster recovery site in AWS Cloud – Suitable for web applications , Mobile apps , social and gaming websites – Unpredictable load bursts , growing companies • Blue print2 : Main site in AWS cloud and Disaster recovery site in Traditional customer data center – Enterprises web applications, online Media companies etc which already have 1-2 years contracts signed with traditional data centers – Fairly predictable or “On & Off” workload bursts
  • 44. DR Architecture blueprints suitability • Blue print3 : Main site in customer data center and Disaster recovery site in AWS cloud – Suitable for applications with predictable loads – SMB companies which already have 1-2 years contracts signed with traditional data centers
  • 45. Which is the right Cloud based disaster recovery strategy for me?
  • 46. Leave it to the experts , we will solve this Cloud Adoption Strategy Cloud Architecture Consulting Cloud Migration Cloud Application Development Cloud Implementation “Let's get the job done”