Uploaded byVikas Sahni
Cloud Computing Fundamentals
The document discusses cloud computing models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). IaaS provides virtual machines, PaaS provides APIs and building blocks, and SaaS provides software through a web front end. Hybrid cloud models combine public and private clouds. Strong security controls are necessary for all cloud models to process sensitive data while balancing threat exposure and cost effectiveness.
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Cloud Computing Fundamentals
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- 2. What‟s Going On? Ubiquitouswireless broadband Devices that make it easy to connect to the web Affordable services Location Aware services People Aware services
- 3. Some old-fashioned stuff… 3 Weall take these for granted!
- 4. Big B toBig B Started 40 years ago 4
- 5. Big B tosmall b Started 53 years ago 5
- 6. Big B, smallb and C! 6 Started 55 years ago!
- 7. Computer Centers 7 Since thebeginning!
- 8. So what does„Cloud‟ really mean? Infinite computing resources on demand No capital expenditure Pay for what you use I pay ONLY for what I use ONLY when I use it with the ability to SCALE capacity up and down ON DEMAND 8
- 9. Available in threeflavours 9 Infrastructure As a Service • Uses VMs • Consumer manages, patches and monitors machines • Good for Legacy Apps • Not great for scalability Platform As a Service • Provides APIs • Building Block Services • Provider manages VMs • Requires a migration of apps • Great opportunity for scalability Software As a Service • Web Front End to Software • Multi-Tenant • Logical Separation of data • Very little customisation • Commodity
- 10. The flavours mean… Source:Microsoft 10
- 11. SaaS Issues Version Control Multi Tenancy Latency Configuration DataSecurity Internal IT 11
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- 13. PaaS Issues All of theSaaS issues All of the IaaS issues Design Patterns Test Environment Roll back Scaling 13
- 14. 14 4 Cloud DeploymentModels Private cloud enterprise owned or leased Community cloud shared infrastructure for specific community Public cloud Sold to the public, mega-scale infrastructure Hybrid cloud composition of two or more clouds
- 15. 15 Common Cloud Characteristics Cloudcomputing often leverages: Massive scale Virtualization Non-stop computing Free software Geographic distribution Service oriented software Autonomic computing Advanced security technologies
- 16. €10,000 machine €1000 machine Scale-up And Scale-outVolume €500 machine #Machines Scale Up € 500 machine € 500 machine € 500 machine Scale Out Volume €500 machine
- 17. Scaling Out 1 x10GB database 10 x 1GB databases
- 18. Shared Individual vs Business model Architecturalmodel Operational model Regulatory constraints Tenancy
- 19. The Share vs.Isolate Continuum Economy of Scale Simpler Management SLA per tenant Data Separation Isolate Share Considerations: Business (Time to market, ROI) Technical (Expected tenant size and load) Operation (“Can you guarantee SLA without isolating?”) Regulatory constraints (“Data must be physically separate”)
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- 21. 21 Threat Exposure andCost Effectiveness Private clouds may have less threat exposure than community clouds which have less threat exposure than public clouds. All else being equal, massive public clouds may be more cost effective than large community clouds which may be more cost effective than small private clouds. Doesn’t strong security controls mean that I can adopt the most cost effective approach?
- 22. 22 Cloud Migration andSecurity Controls Clouds can contain strong security controls Quantifying security advantages vs. challenges is not currently possible Reducing the threat exposure and implementing strong security controls should lead to processing higher sensitivity data Thus, strong security controls are necessary for all cloud models (even private clouds)
- 23. 23 Ownership and SecurityArchitectures Clouds typically have a single security architecture but have many customers with different demands Clouds should attempt to provide configurable security mechanisms Organizations have more control over the security architecture of private clouds followed by community and then public This doesn‟t say anything about actual security Higher sensitivity data is likely to be processed on clouds where organizations have control over the security model
- 24. 24 Putting it Together Mostclouds will require very strong security controls All models of cloud may be used for differing tradeoffs between threat exposure and efficiency There is no one “cloud”. There are many models and architectures. How does one choose?
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- 26. 26 Migration Paths forCloud Adoption Use public clouds Develop private clouds Build a private cloud Procure an outsourced private cloud Migrate data centers to be private clouds (fully virtualized) Build or procure community clouds Organization wide SaaS PaaS and IaaS Disaster recovery for private clouds Use hybrid-cloud technology Workload portability between clouds
- 27. Why Hybrid Apps? Needto connect back from the cloud to on premise data Have to provide access to customers behind corporate firewalls Must remotely manage the cloud platform and on- premise systems Have to keep a big distributed communication infrastructure running as it‟s safety related Data Privacy and Security Legal and Regulatory requirements
- 28. The Long TermDrivers Larger datacentres can deploy computational resources at significantly lower cost Demand pooling improves the utilization of these resources, especially in public clouds Multi-tenancy lowers application maintenance labor costs for large public clouds Unparalleled levels of elasticity and agility that will enable exciting new solutions and applications. 28
- 29. 29 The Short Termscenarios Small enterprises use public SaaS and public clouds and minimize growth of data centers Large enterprise data centers may evolve to act as private clouds Large enterprises may use hybrid cloud infrastructure software to leverage both internal and public clouds Public clouds may adopt standards in order to run workloads from competing hybrid cloud infrastructures
- 30. Conclusion SaaS is mature IaaSwill see consolidation PaaS is the way forward, will provide the platform for more and more of SaaS Hybrid configurations will be the next step ALL THESE NEED WORK TO TAKE ADVANTAGE OF THE PLATFORM 30
- 31. Secure Global On-demand Computing Always Available CloudBursting and Load-balancing Global Application and Data Delivery The Global Cloud
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