1 / 39

Cloud Computing

Cloud Computing. Agenda. Overview Popular Definitions Deployment Models Delivery Models – IaaS , PaaS , SaaS N oSQL Vendor Lock-in Security Concerns. What is Cloud Computing?. Cloud Computing Overview. Sharing Resources Abstraction of Software Development Details Scalability

nelson
Download Presentation

Cloud Computing

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Cloud Computing

  2. Agenda • Overview • Popular Definitions • Deployment Models • Delivery Models – IaaS, PaaS, SaaS • NoSQL • Vendor Lock-in • Security Concerns

  3. What is Cloud Computing?

  4. Cloud Computing Overview • Sharing Resources • Abstraction of Software Development Details • Scalability • High Processing Power • Reliability / Availability • Pay – as – you – use • Peak load performance • Simplified maintenance:

  5. Cloud Computing Definitions • OSSM • 5-3-4

  6. Definition : OSSM • On-demand: the server is already setup and ready to be deployed • Self-service: customer chooses what they want, when they want it • Scalable: customer can choose how much they want and ramp up if necessary • Measureable: there's metering/reporting so you know you are getting what you pay for

  7. Definition : 5 – 3 – 4 • 5 Basic Characteristics • On-Demand • Ubiquity – (irrespective of location, app should be accessible) • Location Independent Resource Pooling • Elasticity • Pay per Use • 3 Delivery Models • IaaS • PaaS • SaaS • 4 Deployment Models • Public Cloud • Private Cloud • Hybrid Cloud • Community Cloud

  8. Deployment Models

  9. Public Cloud • Most standard Cloud Computing Model • Same infrastructure/resources are to be used by other tenants/businesses • Vendor makes Hardware/Software available as services over internet • Pay per use pricing model • No CAPEX, Only OPEX • No wasted resources, pay only for what you use • Examples : Amazon EC2, IBM Blue Cloud, GAE, Azure

  10. Private Cloud • Not truly a cloud • High CAPEX • Rather, cloud like on-premise infrastructure with horizontal scalability,availability,etc • Or off-shore infrastructure behind a corporate firewall • Maintenance can still be outsourced • Concerns of Security are minimized • More control over data • Examples : Amazon EC2 &S3(Simple Storage Service)

  11. Hybrid Cloud • Composition of atleast one Private Cloud and atleast one Public Cloud • All the involved clouds maybe provided by the same or different vendors • Allows scalability of Public Cloud, without exposing sensitive data • Use Case : • Archived Data on Public Cloud, Operational Data on Private Cloud

  12. Delivery Models IaaSPaaSSaaS

  13. IaaS (Infrastructure as a Service)

  14. IaaS (Infrastructure as a Service) • On Demand Storage & Processing - Computing as a Service • Hardware, its Software, Electricity, Cooling, Connectivity all managed by Vendor • Pay-as-you-go • Difference between Shared Hosting v/s Cloud Infrastructure • Flexible

  15. IaaS… (contd…) • Provides infrastructure management tools. • Vendors : Amazon EC2, Rackspace, etc • Tools are available to monitor performance, peak load conditions, etc • Scaling, Monitoring , etc are still a responsibility of the Service Buyer

  16. How to choose an IaaS Vendor? • Support – Email, Phone, 24 x 7? • Hardware, its configuration and Performance • Partnership with Middleware Vendors • Eg: Amazon EC2 has partnered with IBM,Microsoft,RedHat, Oracle,etc. • Licensing • Windows Licences cannot be migrated from local data center to Cloud • IBM Websphere not available with EC2

  17. PaaS (Platform as a Service)

  18. PaaS (Platform as a Service) • A platform to develop applications that can be deployed on the cloud • Framework / Platform is hosted on the Cloud • Development language and platform is vendor decided • Infrastructure management by Vendor • Scalability and management is provided by the Vendor • No Licensing hassles • Vendors: Force.com, Google App Engine, Microsoft Azure, Heroku • Drawback : Vendor Lock in

  19. Force.com : • Very easy to use Web Interface to create a web application • Code generation, compilation, deployment, etc happens on Force.com servers • Also has Eclipse Plugin based development • Asks for Force.com credentials • Code compilation and deployment happens on Force.com servers, seamlessly • Development in Apex(Dev) and VisualForce (UI) • Supports Agile

  20. Heroku • Development, deployment, scaling • Heroku’s Ruby Platform lies on AWS • Used by Facebook for scaling and application development • Dev Languages : Ruby on Rails, Java • Now acquired by Force.com

  21. Google App Engine (GAE) • SDK for Java and Python • Provides Eclipse Plugin • Big Table DataStore • Simple App Configuration • Automatic Scaling, No performance Tuning is required • Quotas - request count, bandwidth usage, CPU usage, datastore call count, disk space used, emails sent, even errors!

  22. Windows Azure • Windows Azure Tools for Visual Studio • Technology Stack and Tools : • Azure tools for Visual Studio • Azure SDK • Visual Web Developer (replacement for Visual Studio) • ASP.NET MVC3 (framework) • IIS

  23. Windows Azure Stack • Windows Azure – Cloud OS as a Service • 5 Services – Live Services, SQL Azure, AppFabric, Sharepoint, Dynamic CRM • SQL Azure – Cloud based SQL Server • Azure AppFabric – Collection of Services (Caching,ServiceBus,Integration) • Azure Platform Alliance (non-MS Datacenters)

  24. Azure Development Platform • ASP.NET Framework • PHP • SDKs for Java and Ruby help integrate with AppFabric Services

  25. SaaS (Software as a Service)

  26. SaaS (Software as a Service) • Enterprise Application without installation overhead • Applications that are available to be used over the internet • Pay per user Account • Scalable to multiple users and tenants • Applications like SalesForce.com, Gmail,GoogleApps,etc

  27. Database for the Cloud

  28. Problems with traditional Databases for cloud • Big Data - Big data are datasets that grow so large that they become awkward to work with using on-hand database management tools • Difficulties include capture, storage, search, sharing, analytics,and visualizing of vast data

  29. NoSQL • Can service heavy read/write workloads • Usually Avoid Join Operations • Scale Horizontally • Works well even with cheap commodity servers • Flexible – Schema changes are easy to make • Examples : Big Table, Mongo DB, Hadoop, Cassandra, Amazon SimpleDB

  30. NoSQL - Challenges • Quota limits • Max 1000 records per query • Query times out in 5 seconds • Maturity – Nascent compared to RDBMS • Support – Mostly Open Source. Support driven by startups with no true global reach • Administration – Installation & Maintenance skill is not easily available • Expertise – Not easily unavailable, which is unacceptable to businesses

  31. Vendor Lock-in • Definition – Stuck with 1 vendor because of complexity to move to another vendor • Scenarios to move out of a Cloud Vendor: • Cost • Shut Down of Services • New choice of Services offered by another Vendor • How to avoid/minimize vendor lock-in chances? • While architecting your app, ensure vendor-specific services are judiciously used • Evaluate Options • Check ROI • Read about upcoming features/services

  32. Vendor Lock-In • IaaS • Less lock-in • Data Migration is of moderate difficulty • PaaS • Tightly coupled to vendor • Migration to another vendor may require re-engineering the application

  33. Security in Cloud Computing • Issues: • Data Integrity • Recovery • Network security • Access and Authentication procedures • Data encryption techniques • Tenant isolation • Most issues are now controlled or resolved • Still considered unsafe for Financial data

  34. Use Cases

  35. Uncertainty of Load • Zynga has both Private and Public Cloud services at disposal • New Game launches on Public Cloud • When usage is stabilized, then migrated to Private Cloud

  36. Short-Term Usage • Seasonal Apps • Event Websites • OCR to Doc Conversion

  37. Netflix • Completely out of Cloud • Highly fluctuating usage of large multimedia data • Across different geographical locations • Speedy Access

  38. Limitations

  39. Limitations of Cloud Computing • Connectivity is mandatory • Security • Skills – Development and Administration • Network Bandwidth • Not suitable for all businesses

More Related