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Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
Cloud Computing: AWS for Lean Startups
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Cloud Computing: AWS for Lean Startups

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  • 1. Cloud Computing:AWS for Lean Startups Zvi Avraham, CTO Nivertech zvi@nivertech.com http://www.nivertech.com
  • 2. Buzzwords History• Utility Computing ~ 2000 • Grid Computing ~ 2003• Cloud Computing ~ 2006
  • 3. Buzzwords History • ASP ~ 2000 • No Software ~ 1999 • SaaS ~ 2006
  • 4. What is a Cloud?
  • 5. Cloud Computing defined• “… a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet” – Wikipedia
  • 6. Cloud Computing defined• “Clouds are hardware-based services offering compute, network and storage capacity where: Hardware management is highly abstracted from the buyer, Buyers incur infrastructure costs as variable OPEX, and Infrastructure capacity is highly elastic” – McKinsey & Co. Report: “Clearing the Air on Cloud Computing”
  • 7. Cloud Computing defined• “Cloud computing has the following characteristics: 1. The illusion of infinite computing resources… 2. The elimination of an up-front commitment by Cloud users… 3. The ability to pay for use…as needed…” – UCBerkeley RADLabs
  • 8. Cloud Computing defined• “... a pay-per-use model for enabling available, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.” – National Institute of Standards and Technology (NIST)
  • 9. Cloud Computing defined• “Clouds are a large pool of easily usable and accessible virtualized resources (such as hardware, development platforms and/or services). These resources can be dynamically re- configured to adjust to a variable load (scale), allow-ing also for an optimum resource utilization. This pool of resources is typically exploited by a pay-per-use model in which guarantees are offered by the Infrastructure Provider by means of customized SLAs.” – Paper by Vaquero et. al.: “A break in the clouds: towards a cloud definition”
  • 10. What is a Cloud?• Datacenter with an API
  • 11. What is a Cloud? • Timesharing 2.0
  • 12. Common Ground?• Pay-per-use (no commitment, utility prices)• Elastic capacity - scale up/down on demand• Self-service interface• Resources are abstracted / virtualized
  • 13. Types of Cloud • Public Cloud • Private Cloud • Hybrid Cloud
  • 14. Public vs. Private CloudPublic Cloud Private CloudVariable expenses (OPEX) Capital expenses (CAPEX)Less control More controlMore locations Fewer locationsLess secure? More secure?
  • 15. X-aaSAnything as a Service • IaaS • PaaS • SaaS
  • 16. IaaS / PaaS / SaaS
  • 17. IaaS / PaaS / SaaS
  • 18. IaaS vendors• Amazon Web Services• Rackspace Cloud• GoGrid• Windows Azure? (*) – VM Role• Google Storage for Devs• Open IaaS standards: – OpenStack – Ecalyptus
  • 19. PaaS
  • 20. PaaS vendors• Windows Azure - .NET (and others)• Google App Engine – Python, Java• Heroku (Salesforce) – Ruby/Rails, node.js• Engine Yard – Ruby/Rails• DotCloud – almost anything• no.de – node.js• ep.io, gondor.io – Python/Django• AppHarbor - .NET• CloudFoundry (VMware) – Open-source PaaS – Java/Spring, Ruby/Rails, MongoDB, etc.• RedHat – Open(?)source
  • 21. Human Cloud• Mechanical Turk – crowdsourcing – http://mturk.com
  • 22. Turkers
  • 23. Telecom Cloud
  • 24. AWS IaaS + PaaS• S3 • AutoScaling• CloudFront • ElasticBeanstalk• EC2 • CloudWatch• EBS • SQS• ElasticIP • SimpleDB• ELB • RDS• IAM • MTurk• VPC • CloudFormation
  • 25. AWS Storage & Databases• S3 – Simple Storage Service (like FTP) – Static Web sites – CDN via CloudFront• SimpleDB – NoSQL document database• RDS – Relational Database Service – Managed MySQL database• EMR – Elastic Map/Reduce – Managed Hadoop
  • 26. EC2 Instance Types http://www.ec2instances.info/Instance Name RAM Compute Units Storage Arch. I/O Linux Win. (GB) (cores x units) (GB) (bits) cost, cost, $/hour $/hourMicro 0.6 2* EBS 32/64 Low 0.02 0.03Small 1.7 1 (1x1) 160 32 Moderate 0.085 0.12Large 7.5 4 (2x2) 850 64 High 0.34 0.48Extra Large (XL) 15 8 (4x2) 1690 64 High 0.68 0.96High-memory XL 17.1 6.5 (2x3.25) 420 64 Moderate 0.50 0.62High-memory Double XL 34.2 13 (4x3.25) 850 64 High 1.00 1.24High-memory Quad. XL 68.4 26 (8x3.25) 1690 64 High 2.00 2.48High-CPU Medium 1.7 5 (2x2.5) 350 32 Moderate 0.17 0.29High-CPU XL 7 20 (8x2.5) 1690 64 High 0.68 1.16Cluster Comp. Quad. XL 23 33.5 1690 64 Very High 1.60 N/A 2 x Xeon X5570Cluster GPU Quad. XL 22 33.5 1690 64 Very High 2.10 N/A 2 x Xeon X5570
  • 27. EC2 Instances PricingOn-demand (default) Most expensiveReserved for 1 year Prepaid with per hour discountReserved for 3 years Prepaid with large per hour discountSpot Cheap, but can be killed anytime
  • 28. Spot Instances
  • 29. AWS Free tier• Amazon offers new AWS customers with a bundle of services free each month of their first year: – 750 hours of EC2 running Linux Micro instance usage – 750 hours of ELB plus 15 GM data processing – 10 GB of Amazon EBS plus 1 million IOs, 1GB snapshot storage, 10,000 snapshot Get Requests and 1,000 snapshot Put Requests – 15 GB of bandwidth in and 15 GB of bandwidth out aggregated across all AWS services
  • 30. Demo time
  • 31. Q&A

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