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Monetizing PaaS and Implementation
              Models
                Sachin Sancheti

       Principal Architect – Windows Azure
                    13-Apr-2012
IT Responsibility Matrix

                          Collaboration,             New Markets,
  Strategic

                            Research,             New Business Models,
                       Process Optimization         New Cost Models

                                 Monetization
              Vision



                                            Demands,
                                         Competitions,
                                           Innovation,
                                         Time to Market
  Tactical




                        Keep the lights on,           Global Access,
                          Maintenance,
                          Infrastructure             Device Integration,
                           Optimization              Disaster Recovery

                                          Scope

                          Internal                        External
Challenges and Trends
                                   New way
•   Give me more for less             of
                                   operating
•   Innovation is not a choice
•   Keep up the business growth
•   Cost - Reduction and Optimum utilization
•   Competition and Time to Market
•   Operational Challenges           Better
                                     Online
               New                 Experience
             Business
              Models
•
Cloud Workload Patterns
                         On and Off                                              Growing Fast




                                                                   Compute
        Compute




                                 Inactivity           On off
                                  Period
                                                                                                 Average Usage
                    Average                   Usage


                                  Time                                                  Time


 •                                                             •
 •                                                             •
 •                                                             •

                  Unpredictable Bursting                                      Predictable Bursting“
     Compute




                                                                    Compute
                              Average Usage                                          Average Usage


                                 Time                                                    Time


 •                                                             •
 •                                                             •
 •                                                             •
Application and Data
Cloud Computing Taxonomy                                                                     The Windows Azure
                                                                                                          Platform fits here


             Traditional IT                    IaaS                                PaaS                                 SaaS




                                                             You manage
               Applications                 Applications                         Applications                         Applications

                  Data         You manage       Data                                 Data                                 Data

                Runtime                       Runtime                              Runtime                              Runtime




                                                                                                                                       Managed by vendor
               Middleware                   Middleware                           Middleware                           Middleware
You manage




                                                                                                  Managed by vendor
                   O/S                          O/S                                  O/S                                  O/S


                                                             Managed by vendor
              Virtualization                Virtualization                       Virtualization                       Virtualization

                 Servers                      Servers                              Servers                              Servers

                 Storage                      Storage                              Storage                              Storage

               Networking                   Networking                           Networking                           Networking

                    Higher Cost, Less Agility                                        Lower Cost, Agile
Monetization - Implementation Models
                    ISVs targeting new customer markets through SaaS
                    Solution
       SaaS            •
                       •
                           Develop the multi-tenant SaaS solution on Azure
                           Manage and operate
                       •   Business consulting - licensing, pricing


                    Gather data from multiple sources at a central location to enable decision making
                    Solution
   Data Hub            •
                       •
                           Azure as a “data hub”
                           Provide real time data to drive decision making, thereby resulting in operational efficiency
                           improvement

                    A disaster response system with humongous scale in the wake of a disaster
                                                                                                                              Second largest
    Disaster        Solution
                       •   Identified an open-source CMS (Umbraco).                                                           Nuclear Power
   Response            •
                       •
                           Extended CMS’ functionality to auto-provision & auto-scale
                           Minimal cost during peaceful times. Ability to scale within minutes, when needed
                                                                                                                                Generator


                    Compress time to run complex data intensive operations
                    Solution
 High Compute          •
                       •
                           Utilized Azure storage for input and output files
                           Integration with on-premise systems
                       •   Cost saving of over 50% in 3 months


                    Infrastructure to onboard partners
                    Solution
Partner Platforms      •   Partner portal site on Azure providing the ability to handle heavy traffic (predictable burst) &
                           high compute in the cloud with permanent data storage on-premise
                       •   Developed SDKs for multiple products to enable partners to develop applications on Azure


                    Seasonal + unpredictable spikes in traffic & bandwidth
                    Solution:
Burst for Online       •   Home page on Azure. On-demand provisioning of compute instances
                       •   Hybrid Azure to handle peak capacity.


   8
Depth Of Experience Across Verticals

   SAAS




DATA HUB




  SURGE




COMPUTE




  MOBILE



           MANUFACTURING                                            ENERGY /
                           HEALTHCARE   FINSERV   RETAIL   ONLINE              EDUCATION
                                                                     UTILITY
Azure Adoption Cycle



BUSINESS


                ADITI/CUMULUX



                ADITI/CUMULUX


TECHNOLOGY




      10
Common Concerns?
• Security Aspects
  • Physical
  • Application
  • Data
• Compliances
• Windows Azure
  • Windows Azure ISO 27001 Certification
  • E.U. Data Protection Directive within ISO/IEC
    27001:2005
  • Trusted Data Services – Coming Soon
Thanks

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Monetize PaaS Windows Azure and Implementation Models

  • 1. Monetizing PaaS and Implementation Models Sachin Sancheti Principal Architect – Windows Azure 13-Apr-2012
  • 2. IT Responsibility Matrix Collaboration, New Markets, Strategic Research, New Business Models, Process Optimization New Cost Models Monetization Vision Demands, Competitions, Innovation, Time to Market Tactical Keep the lights on, Global Access, Maintenance, Infrastructure Device Integration, Optimization Disaster Recovery Scope Internal External
  • 3. Challenges and Trends New way • Give me more for less of operating • Innovation is not a choice • Keep up the business growth • Cost - Reduction and Optimum utilization • Competition and Time to Market • Operational Challenges Better Online New Experience Business Models
  • 4.
  • 5. Cloud Workload Patterns On and Off Growing Fast Compute Compute Inactivity On off Period Average Usage Average Usage Time Time • • • • • • Unpredictable Bursting Predictable Bursting“ Compute Compute Average Usage Average Usage Time Time • • • • • •
  • 7. Cloud Computing Taxonomy The Windows Azure Platform fits here Traditional IT IaaS PaaS SaaS You manage Applications Applications Applications Applications Data You manage Data Data Data Runtime Runtime Runtime Runtime Managed by vendor Middleware Middleware Middleware Middleware You manage Managed by vendor O/S O/S O/S O/S Managed by vendor Virtualization Virtualization Virtualization Virtualization Servers Servers Servers Servers Storage Storage Storage Storage Networking Networking Networking Networking Higher Cost, Less Agility Lower Cost, Agile
  • 8. Monetization - Implementation Models ISVs targeting new customer markets through SaaS Solution SaaS • • Develop the multi-tenant SaaS solution on Azure Manage and operate • Business consulting - licensing, pricing Gather data from multiple sources at a central location to enable decision making Solution Data Hub • • Azure as a “data hub” Provide real time data to drive decision making, thereby resulting in operational efficiency improvement A disaster response system with humongous scale in the wake of a disaster Second largest Disaster Solution • Identified an open-source CMS (Umbraco). Nuclear Power Response • • Extended CMS’ functionality to auto-provision & auto-scale Minimal cost during peaceful times. Ability to scale within minutes, when needed Generator Compress time to run complex data intensive operations Solution High Compute • • Utilized Azure storage for input and output files Integration with on-premise systems • Cost saving of over 50% in 3 months Infrastructure to onboard partners Solution Partner Platforms • Partner portal site on Azure providing the ability to handle heavy traffic (predictable burst) & high compute in the cloud with permanent data storage on-premise • Developed SDKs for multiple products to enable partners to develop applications on Azure Seasonal + unpredictable spikes in traffic & bandwidth Solution: Burst for Online • Home page on Azure. On-demand provisioning of compute instances • Hybrid Azure to handle peak capacity. 8
  • 9. Depth Of Experience Across Verticals SAAS DATA HUB SURGE COMPUTE MOBILE MANUFACTURING ENERGY / HEALTHCARE FINSERV RETAIL ONLINE EDUCATION UTILITY
  • 10. Azure Adoption Cycle BUSINESS ADITI/CUMULUX ADITI/CUMULUX TECHNOLOGY 10
  • 11. Common Concerns? • Security Aspects • Physical • Application • Data • Compliances • Windows Azure • Windows Azure ISO 27001 Certification • E.U. Data Protection Directive within ISO/IEC 27001:2005 • Trusted Data Services – Coming Soon

Editor's Notes

  • #4: Free up the money more or less
  • #8: Paas is Building blocks
  • #11: Why Why Cloud Computing ?Customers are asking for SaaS ( Analysts estimates, CIO Surveys ) versions of ISV apps Reduces time to market ( 3M ) Enables new innovations ( Aspect ) to be tested at a low cost Efficient cost/ pricing models What What are the business considerations for moving to the cloud ? Internal / Engineering / Sales / Support Costing / Pricing model SLAs Cloud Models Best workloads for moving to the cloud What is Azure and how does it fit ? Azure – PaaS How How do I determine the best app for cloud ? Cloud Fit Framework Examples How can I preserve my existing investments ? Public – Always Public Hybrid Sometimes cloud Private Cloud