Nilesh Patkar - Cloud Computing Myths & Realities - Interop Mumbai 2009
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Nilesh Patkar - Cloud Computing Myths & Realities - Interop Mumbai 2009

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Is ‘Cloud Computing’ old wine in a new bottle? Are big companies fueling the hype? Is cloud computing similar to P2P? What are the dos and don’ts in cloud computing? What are the risks of cloud ...

Is ‘Cloud Computing’ old wine in a new bottle? Are big companies fueling the hype? Is cloud computing similar to P2P? What are the dos and don’ts in cloud computing? What are the risks of cloud computing? What kind of quality of service can be expected from a cloud service provider? Attend this session to find out answers to these compelling questions, as Patkar demystifies the cloud. This session will also share a case study, highlighting how a growing US Job Portal uses the Amazon EC2 infrastructure for storage.

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Nilesh Patkar - Cloud Computing Myths & Realities - Interop Mumbai 2009 Nilesh Patkar - Cloud Computing Myths & Realities - Interop Mumbai 2009 Presentation Transcript

  • Cloud Computing Myths & Realities
  • What People Says • It’s Application service provider • Network of networks.. Platform of computing • It’s Grid computing • It’s Software as a service • It’s Utility computing • It's just another media excuse to sell magazines. • It’s Component / Web services.. Relabelling what's already there? • It’s a gimmick
  • What Specialist Says • Gartner defines cloud computing as a style of computing in which massively scalable IT related capabilities are provided “as a service” using Internet technologies to multiple external customers. • Forrester defines cloud computing as a pool of abstracted, highly scalable, and managed compute infrastructure capable of hosting end- customer applications and billed by consumption. • Tim orielly( CEO Orielly) defines cloud as Great way of thinking about how you are going to delivering computer services in future
  • What the hell is cloud computing?
  • 3 Layers of Cloud Computing Infrastructure asSoftware as a Platform asService a a Service IaaS PaaS Service SaaS
  • 3 principles of cloud computing • Elastic unlimited capacity – Get Big Fast • Pay as You Go – Spend cash wisely • Simple, Reliable, Fast – Focus on your idea
  • Infrastructure itself is programmable
  • Myth Cloud is new and complicated
  • Myth Cloud is Grid computing Cloud is Utility computing
  • Myth Cloud is Component / Web Service
  • Myth Cloud is Software as a service Cloud is Platform as a service
  • Myth Cloud is replacing traditional hosting Everything is moving into the cloud
  • Myth Cloud is Private
  • Reality is Cloud is not revolutionary – It’s simply a natural evolution
  • Reality is It’s a blessing for new startup
  • Reality is Cloud is Green
  • Reality is Cloud is Open
  • Reality is Startups and individual developers Enterprise users and developers There are different Perspectives
  • Reality is Security is concern – Storage & Compute
  • Reality is Manage Risk Business Efficiency & Agility Equilibrium must be achieved
  • Reality is The No. 1 barrier to the use of the cloud is IT culture
  • Case Study – Viacom International In early 2006 Viacom International Japan launched [the] FLUX [platform] with video downloads and a streaming entertainment site, combined with social networking.
  • Case Study – Viacom International • Problem Statement – Very high user interactions/transactions – Success is to keep users engaged – All user interactions are costly from bandwidth and resource point of view – Video streaming/uploading/downloading/processing – High quality Images uploading/downloading/processing
  • Case Study – Viacom International • Solution – Used Cloud IaaS to store bandwidth consuming media resources like videos, streams & images – Leveraged Web service interface (Programmable infrastructure) to access resources – Images and videos are processed using Map Reduce distributed processing
  • Case Study A new startup US Job Portal • Problem Statement – Strong Search engine which can index structured (database) as well as unstructured data such as resumes (word/pdf) – Very high user interactions/transactions – Very short turnaround time – Limited budget
  • Case Study A new startup US Job Portal • Solution – Rails for fast development – Attivio to index structured & unstructured data – Used Heroku platform as a Service which provides Rails app , HTTP cache, WebServer , database as one packaged platform – Used Amazon S3 to store documents/resumes/images
  • Case Study – Cloud Cache • A US startup company Quetzall.com offerring intra cloud computing Services • CloudCache provides a simple and cost effective on demand caching solution. It enables developers to store data in an in- memory cache for super fast access while decreasing database hits and increasing performance. • Since CloudCache runs in the cloud as a service, developers do not need to run their own servers just for caching. It is just like memcached, but without the maintenance.
  • Case Study – Cloud Cache • Problem statement – Cloud should have programmable interface – Engage opensource enthusiast to spread this service
  • Case Study – Cloud Cache • Solution – Developed PHP API ( http://code.google.com/p/cloud-cache-php/ ) • As a PEAR package • As a PECL library – Developed Rails API – Developed Java API – Developed a working example for the users with phpgeotiles
  • Questions Thank you !! Nilesh A. Patkar CTO, ANTechnologies nilesh@antechnologies.co.in